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  • Pega launches AI-powered virtual assistant for human-like interactions

    Pega Intelligent Virtual Assistant comes pre-configured to extend to Facebook Messenger, Alexa, and Google Home

    Source: Techseen
    14103
  • Dashbot raises $2 million for its bot analytics service

    Dashbot announced today that investors have thrown their support behind its mission to be the Google Analytics for bots.

    Source: VB
    8658
  • Redcliffe's Dheeraj Jain backs security solutions startup ASADEL

    Video analytics and enterprise safety company ASADEL Technologies Pvt. Ltd has raised an undisclosed amount from Dheeraj Jain, managing partner at venture capital firm Redcliffe Capital, in exchange for a 10% stake, a company statement said.

    Source: VCC
    10608
  • Artificial intelligence: fulfilling the failed promise of big data

    The topic of artificial intelligence is dominating discussions of data management this year.

    Source: IM
    22059
  • 5 Metrics Every Chatbot Should Track

    40% of a typical bots' users only engage in one conversation.

    Source: Topbots
    11181
  • Strategy Analytics on Artificial Intelligence: Privacy Concerns and Limited & Unknown Use Cases Pose Greatest Threats to Early Success

    Innovations in the areas of artificial intelligence (AI), machine learning and deep learning are beginning to dominate the technology landscape.

    Source: PRNewswire
    8682
  • Google quietly debuts Chatbase, a chatbot analytics platform

    Just ahead of Google's I/O event kicking off later today, some details have leaked out about a new service that Google is launching for developers that are building chatbots. TechCrunch has learned that Google has developed a new service called Chatbase, which provides analytics and suggestions for how to "fix" bot experiences to make them better for users.

    Source: TC
    14214
  • How Machine Learning and Predictive Analytics Drive Business Value

    This chassis leasing company is deploying technology to proactively monitor its IT environment.

    Source: ZDnet
    10149
  • 7 Ways AI Could Save the Government Money and Boost Productivity

    Artificial intelligence offers feds the "tantalizing possibility" of increased speed, enhanced quality and lower costs, a Deloitte report says.

    Source: FedTech
    15540
  • How Machine Learning Is Helping Us Predict Heart Disease and Diabetes

    While debate drags on about legislation, regulations, and other measures to improve the U.S. health care system, a new wave of analytics and technology could help dramatically cut costly and unnecessary hospitalizations while improving outcomes for patients.

    Source: HBR
    10059
  • Harnessing the potential of artificial intelligence and machine learning

    ARTIFICIAL intelligence (AI) and machine learning (ML) have rapidly matured over the years and are already the norm in many fields, helping companies deploy smart systems of engagement to improve efficiency, enhance security, gain insights, and deliver superior customer experiences.

    Source: Digitalnewsasia
    11301
  • Microsoft Upgrades Windows-Based Data Science Virtual Machine

    Microsoft's cloud-based virtual machine for big data analytics is now available in a version running on Windows Server 2016.

    Source: Eweek
    10167
  • The Difference Between Data Science and Data Analytics

    Data science and data analytics: people working in the tech field or other related industries probably hear these terms all the time, often interchangeably.

    Source: Insidebigdata
    23040
  • 18 New Books for Data Scientists, Machine Learning, on R and Python Must Read!

    Understanding machine learning & data science is easy. There are numerous open courses which you can take up right now and get started. But, acquiring in-depth knowledge of a subject requires extra effort.

    Source: HOB Team
    30351
  • The Indian IT industry's future potential

    The Indian IT industry would do well if it upgrades its capabilities and offerings in line with emerging technologies and market imperatives.

    Source: Mint
    11325
  • The Big Data banking revolution

    There is more data out there than ever before, but organisations should be smart about how they use it.

    Source: Gulfnews
    16287
  • Have we bridged the gap between Data Science and DevOps?

    How do Data Science and DevOps fit together? In this article, Richard Gall explains why integrating Data Science with your DevOps can lead to a better and smarter business.

    Source: jaxenter
    9984
  • The One Thing that Makes a Great Data Leader

    What's the one thing that makes a great data leader?

    Source: Data-informed
    8793
  • Data Science Terminology: 26 Key Concepts Everyone Should Understand

    Data science is the theory and practice powering the data-driven transformations we are seeing across industry and society today. Artificial intelligence (AI), self-driving cars, and predictive analytics are just a few of the breakthroughs that have been made thanks to our ever-growing ability to collect and analyze data.

    Source: Data Informed
    17052
  • Datameer makes deep learning more accessible

    With SmartAI, Datameer is addressing the last mile in putting machine learning to work in business intelligence.

    Source: ZDnet
    12225
  • For IT Professionals, A New $16 Billion Opportunity Opens Up

    Big Data analytics sector in India is expected to witness eight-fold growth by 2025 - from the current $2 billion to reach $16 billion, say industry experts.

    Source: NDTV
    10848
  • You Can Get A Data Analytics Job Without A Masters In Data Science

    A lot of people reach out to me. They needs jobs. But they are asking about school.

    Source: Forbes
    9594
  • Without communication, machine learning for data science goes nowhere

    The chief data officer's next challenge may be to find storytellers who can explain machine learning for data science to decision-makers in the organization.

    Source: Techtarget
    13845
  • How Artificial Intelligence benefits companies and ups their game

    Artificial intelligence-driven technology revolution is expected to impact all sectors. Some firms have already deployed AI solutions and are reaping the benefits

    Source: Livemint
    16797
  • Artificial intelligence holds great potential for both students and teachers - but only if used wisely

    Artificial intelligence (AI) enables Siri to recognise your question, Google to correct your spelling, and tools such as Kinect to track you as you move around the room.

    Source: Theconversation
    9873
  • Machine learning comes to call analytics

    New Invoca capability promises language pattern recognition based on the entire call vs. keyword spotting.

    Source: Martechtoday
    10005
  • 10 Artificial Intelligence (AI) Technologies that will rule 2018

    Artificial Intelligence is changing the way we think of technology. It is radically changing the various aspects of our daily life. Companies are now significantly making investments in AI to boost their future businesses.

    Source: Knowstartup
    41784
  • How Data And Analytics Are Changing The Face Of Modern Marketing

    Recently, I posted an interview conducted with Wes Nichols, the former CEO of MarketShare, on the ways in which data and analytics are impacting organizations (see here for the article and video). Below, I share Nichols' interesting perspective on how these changes will impact the future of marketing.

    Source: Forbes
    8766
  • The Future of Machine Learning and Data Science

    Machine Learning and AI are often heralded as the future of, well, every industry ever. But what about the future of Machine Learning itself? Sebastian Raschka, applied machine learning and deep learning researcher at Michigan State University and the author of Packt's best-selling book Python Machine Learning, takes a look at what's changed the most in the last few years and what's next on the horizon - here's a hint, it's not robots taking over the world.

    Source: CBR
    11871
  • Leveraging AI and Machine Learning to Enhance the Customer Experience

    As organizations look for ways to better serve their customers, many are seeking new and innovative ways to better understand their customers' wants and behaviors. Increasingly, this means the use of digital tools and digital transformation initiatives, as well as the use of customer and predictive analytics, artificial intelligence (AI), and machine learning, to better know and understand their prospects' and customers' needs to provide an outstanding customer experience.

    Source: Pay Before
    9531
  • Enabling machine learning to help combat fraud

    A recent study from iovationon has centred on the movement towards using machine learning (ML) analytics for improving fraud mitigation and customer experience.The findings showed that while 68% of financial institutions (FIs) cite ML analytics as a high priority investment over the next few years the path to adoption will not be without its challenges. iovation and Aite Group will be hosting a webinar at 10AM PST on November 9th to discuss the results of this survey.

    Source: information-age
    9783
  • Artificial Intelligence Today: Time to Act

    The AI and advanced analytics conversation has risen all the way to C-suite. The time has come to act. Jump on the AI train soon or you will be left behind.

    Source: Information Week
    19173
  • Transparent design could teach people to trust AI

    We are living in a world of data overload. From behavioral analytics to customer preferences, businesses now have so much data at their fingertips that they're unable to process and consume all of it in a meaningful way. This is where the magic of machine learning comes in.

    Source: Venture Beat
    11415
  • The Delhi Police will also partner with academic institutions to develop systems for the future

    The Delhi Police, by 2020, aspires to adopt "technology based policing" by using smart policing, artificial intelligence, and self-learning systems among other advanced technologies, it was announced on Friday.

    Source: FirstPost
    10455
  • BrainChip Holdings attracts $21.5M for artificial intelligence technology

    The software can learn, evolve and associate information like the human brain.

    Source: Proactiveinvestors
    13560
  • IBM's Watson Data Platform focuses on AI

    The IBM Watson Data Platform already provides data scientists with the ability to crunch numbers and share large data sets across different public and private clouds. Now the company has its sights set on artificial intelligence (AI), reports Enterprise Cloud News (Banking Technology's sister publication).

    Source: Banking Tech
    14742
  • Infosys eyeing tie-ups for Artificial Intelligence, data analytics

    Infosys is seeking to leverage artificial intelligence and data analytics to help win more business from its own Fortune 500 clients and help run their businesses better

    Source: Mint
    9720
  • Opinion Data engineers will be more important than data scientists

    Does it seem like the ability to find, hire and retain data scientists is a losing battle? Is spending $500.000-plus per year for a data scientist worth it? What is a data scientist anyway?

    Source: IM
    14724
  • Top 35 Demanded Courses to boost your career in 2018-20

    Really you want to upgrade your skills with the best Data Analytics, Development courses, to stand out in your industry? Now Big data, Data Science, Machine Learning, Deep Learning, Artificial Intelligence (AI), Analytics, Python, R, r-stats are the most trending and highly demanding subject in every sector for almost every industry.

    Source: HOB Team
    12081
  • Top 10 Hot Artificial Intelligence (AI) Technologies

    The market for artificial intelligence (AI) technologies is flourishing. Beyond the hype and the heightened media attention, the numerous startups and the internet giants racing to acquire them, there is a significant increase in investment and adoption by enterprises.

    Source: Forbes
    344406
  • 6 Data And Technology Trends For 2018

    Among the biggest challenges CMOs-and all marketers- face is the transformation of data into actionable insights. Consequently, it's one of the hottest topics CMOs talk about (see here).

    Source: Forbes
    10305
  • AWS bets on OTT players with AI & Data Analytics

    Amazon Web Services (AWS) which is the cloud computing arm of Amazon, plans to get into Over-the-top (OTT) content providers market of India with their data analytics & artificial intelligence platform. Bikram Bedi, head of India region, AWS said that globally, and in India, media & entertainment has been a huge focus of the company. They work with OTT platforms or linear TV platforms like Voot, Hotstar, Netflix, Sony, Amazon Prime, Tata Sky etc.

    Source: HOT Team
    14643
  • Startup Watchlist: 10 Indian AI Startups To Watch Out For In 2018

    Indian AI Startups Raised About $87.85 Mn In 2017

    Source: Inc42
    31812
  • Accenture Open House: AI, Data Science & Big Data

    Accenture hosted an AI, Data Science & Big Data Open House at The Dock to showcase the data and analytics work it does, and open up a discussion about the challenges it faces in finding data-driven solutions.

    Source: Silicon Republic
    11868
  • Verizon acquires Niddel for threat detection with machine learning

    Verizon wants to give its enterprise customers more tools to automate threat detections on networks.

    Source: Zdnet
    10263
  • Actor Rajinikanth to use research, data analytics in politics

    Actor Rajinikanth's announcement on Sunday of his plans to launch a political party may not be just a whimsical statement to buy peace with lakhs of his fans with growing aspirations. He had been doing a lot of homework and much more

    Source: Times of India
    13074
  • Management AI: Overfit, Why Machine Learning Isn't Trained to Perfection

    The core of most modern Machine Learning (ML) systems is automated neural networks (ANNs). The training of ANN's require large data sets.

    Source: Forbes
    10356
  • E-commerce players invest in Artificial Intelligence to fight the next war

    If you consider an ideal world then Mayur Datar, chief data strategist for Flipkart, wants the app of his company to understand every need of their user even before they know it. Whether it is buying a pen or a refrigerator,

    Source: HOB
    11247
  • The Opportunities and Challenges of Cloud Computing and Big Data

    See how big data and cloud computing can be used together to manage the enormous amounts of data that are being generated on a daily basis.

    Source: Dzone
    15654
  • Machine Learning, Analytics & Big Data are about to change Insurance

    It is largely data that has determined success, failure and change in the insurance business. However, today is different. The advent of big data technology, advanced data analytics & machine learning are changing the game entirely.

    Source: HOB
    12567
  • Edge computing is going to change how the government operates

    Just consider the fact, In an average winter, Kentucky's Department of Transportation spend somewhere between $45 million to $75 million on snow removal & road salting. However, during the harsh winter of 2014-15

    Source: HOB
    9309
  • Chief Marketing Officers' are buddying up to Big Data

    There are new technologies being introduced everyday and regular advances in managing and utilizing consumer data is also happening. Resultantly, it is becoming harder to stay up to date with all of them. Technology is moving faster than marketers can figure how best to make use of it.

    Source: HOB
    9330
  • What Predictive Analytics, Big Data And The Rise Of Artificial Intelligence Mean For Real Estate

    AI-enhanced real estate industry could also mean agents advertising homes using virtual reality, where users can experience a home just like they experienced a new BMW on Snapchat, interacting with the property through the smartphone in their hands.

    Source: Forbes
    13470
  • Thousands of IT jobs being created in India by European and US companies

    The trend for big businesses to set up IT hubs in India shows no sign of abating, with thousands more jobs being announced by global businesses.

    Source: Computerweekly
    14709
  • Australian Securities Exchange look upon artificial intelligence and big data analytics

    The Australian Securities Exchange (ASX) has published its financial results for the first half of the year. The results showed AU$230.5 million in after-tax profit and an increase of AU$11.1 million over the year.

    Source: HOB
    9312
  • How one can become Data Scientist! Must to Know

    Based on historical data and accurately predicting some patterns out of it then, Data science comes into the picture. Data Science is the data driven decision making and building business strategies based on data analysis by removing any manual or judgemental error. Data Science is everywhere and here is the rescue for how to be a data scientist.

    Source: HOB
    22785
  • Cloudera Introduces the Industry's First Machine Learning and Analytics Platform-as-a-Service Built with a Shared Data Experience (SDX)

    Cloudera, Inc., (NYSE: CLDR), the modern platform for machine learning and analytics, optimized for the cloud, announced Cloudera Altus with SDX, the first machine learning and analytics Platform-as-a-Service (PaaS), built with a shared data catalog providing the business context of that data.

    Source: PR Newswire
    11229
  • Eleven Free Books On Machine Learning & Data Science

    It's as good a time as any to keep yourself updated - especially for those who are in the ever-changing technology field. If you're interested in, or working as a professional in Data Science, Machine Learning and allied fields, we've compiled a list of top 11 books that are available free that you must catch up on gloomy rainy days.

    Source: HOB
    26154
  • 5 Things to Know Before Rushing to Start in Data Science

    Strong math understanding, computing skills, critical thinking and presentations skills provide a strong foundation for a career in Data Science.

    Source: Kdnugget
    9009
  • Areas of Marketing Campaign where AI can help

    If we look back, there is a huge progress in the field of technology and innovations. Many technologies emerge as the future starts and today, some of them are on their way up in the industry. Technologies like Machine Learning, artificial Intelligence, Big Data Analytics, Cloud Computing, ChatBots, Wearable Devices, Drone, etc. The aim of discovering all these modern technologies is to improve the quality of life of the common people and make their daily job much easier than ever before. Many business and industrialist have heavily invested in this technologies and they are reaping rich rewards in the recent times. Out of all these technologies, Artificial Intelligence (AI) has raised its standard tremendously in the last 4-5 years.

    Source: HOB
    10020
  • Different Roles In Data Science & Analytics

    The best jobs right now in the planet include titles like data scientist, data engineer, and business analyst. Yet too often, employers find it hard to acquire the right person for a job. There is a persisting gap between the skills possessed by the current or the emerging workers and the abilities required by the business.

    Source: HOB
    24765
  • Top Use cases where Modi government used big data and analytics

    Modi government has actively used big data and analytics in its governance to succeed and reform the country. Here is a look at some of the top use cases.

    Source: HOB
    14832
  • How one can become Data Scientist! Must to Know

    Based on historical data and accurately predicting some patterns out of it then, Data science comes into the picture. Data Science is the data driven decision making and building business strategies based on data analysis by removing any manual or judgemental error.

    Source: HOB
    23121
  • Flipkart Hiring: 700 Job Openings In Data Science & Other Tech Areas

    Flipkart the indian online retail giant is on a hiring spree and looking for data scientists actively in order to further their AI in India program.

    Source: HOB
    15462
  • SMAC: Social, Mobile, Analytics & Cloud

    Marketing in today's world is however much more complex, and organisations are leveraging the power of technologies and we as a marketer are ask to sits through all the voice and figure out the best marketing strategies and always in a limited budget. Hence, SMAC Stack is the new wave of computing that will drive high customer engagement, greater innovation and exponential growth opportunities with minimum cost.

    Source: HOB
    14589
  • Machine Learning: Shaping Digital Marketing

    All have probably heard the buzz, there is a big bet on Machine Learning and Artificial Intelligence let's jump to the discussion that how Machine Learning is shaping Digital Marketing and most of the organizations are leveraging the power of Machine Learning technology.

    Source: HOB
    18675
  • Top 20 Deep Learning Papers, 2018 Edition

    Deep Learning is constantly evolving at a fast pace. New techniques, tools and implementations are changing the field of Machine Learning and bringing excellent results.

    Source: Kdnugget
    26934
  • 4 Things Universities Need to Know to Teach Data Science

    A new report aims to help universities shape data analytics education. Technologies that collect data for analysis exist in pretty much every aspect of life - from smart thermometers in homes to wireless sensor networks.

    Source: EdTech
    11295
  • How one can become Data Scientist! Must to Know

    Based on historical data and accurately predicting some patterns out of it then, Data science comes into the picture. Data Science is the data driven decision making and building business strategies based on data analysis by removing any manual or judgemental error. Data Science is everywhere and here is the rescue for how to be a data scientist.

    Source: HOB
    11346
  • Data Analytics: A measure for Business Growth

    Data analytics is the key to drive optimal strategy for every business. It helps a business to effectively target consumers with marketing efforts while also creating products that facilitates in solving current problems.

    Source: HOB
    10062
  • SMAC: Social, Mobile, Analytics & Cloud

    Marketing in today's world is however much more complex, and organisations are leveraging the power of technologies and we as a marketer are ask to sits through all the voice and figure out the best marketing strategies and always in a limited budget. Hence, SMAC Stack is the new wave of computing that will drive high customer engagement, greater innovation and exponential growth opportunities with minimum cost.

    Source: HOB
    14793
  • Learn Data Science for Excellence and not just for the Exams

    Are you currently pursuing your masters in Data Science? Overwhelmed with Buzzwords and Information? Don't know where and how to start your study? Then start with this article and a starter kit provided, but learn it for excellence and not just for the exams.

    Source: Kdnugget
    16590
  • Machine Learning: Shaping Digital Marketing

    All have probably heard the buzz, there is a big bet on Machine Learning and Artificial Intelligence let's jump to the discussion that how Machine Learning is shaping Digital Marketing and most of the organizations are leveraging the power of Machine Learning technology. Machine learning has become even more sophisticated and accessible and the industry is seeing rapid growth in ML marketing solutions. This efficiency in identification and classification is at the heart of marketer's attraction to machine learning. As marketers are faced with unprecedented amounts of data, they need solutions to quickly analyze and deliver optimal digital communications.

    Source: HOB
    10656
  • Big data and Artificial intelligence transforming the financial services

    Technology is making financial services, particularly lending, one of the most enthralling segments to keep an eye on. While several technological transformations going on, here below are two which are already in flourishing mode and ready to completely change the way financial sector services are offered online.

    Source: HOB
    13326
  • Data Analytics: A measure for Business Growth

    Data analytics is the key to driving optimal strategy for every business. It helps a business to effectively target consumers with marketing efforts while also creating products that facilitates in solving current problems. Businesses are using data analytics in various aspects within technological tools across departments, from IT management to customer support administration. By storing data safely and securely in a cloud-based backup system that uses file encryption, enterprises can protect private consumer information and business insights that provides them with a competitive edge.

    Source: HOB
    7857
  • Key technologies for enabling big data analytics for businesses

    Big data analytics is the process of examining large and varied data sets -- i.e., big data -- to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. Their effectiveness depends on the collective use by enterprises to obtain relevant results for strategic management and implementation.

    Source: Maruti Tech Labs
    23889
  • Data Analytics: Fuelling IoT Revolution

    Is data analytics fuelling the IoT revolution or is IoT fuelling data analytics revolution is a key question that businesses must look for. These two areas Data Analytics and IoT have a symbiotic relationship. One feeds on the other for growth and adoption. IoT connects all manner of endpoints, unraveling a treasure trove of data. The availability of this data is driving opportunity for data analytics by extracting and presenting useful information for decision makers to make informed decisions, which are more predictive in nature rather than reactive.

    Source: HOB
    8787
  • Social Media and Big Data Analytics: A Winning Combination

    Social media analytics applications gather data from social media websites and analyze it further using analytics tools to carry out business decisions. For the marketing professionals, analytics tools are the life sustaining organs as they seem to be one of the simplest ways for them to spot and keep in pace with what is happening in the digital world.

    Source: HOB
    13386
  • Facebook Uses Artificial Intelligence To Predict Your Future Action For Advertisers, Say Confidential Document

    SINCE THE CAMBRIDGE ANALYTICA scandal erupted in March, Facebook has been attempting to make a moral stand for your privacy, distancing itself from the unscrupulous practices of the U.K. political consultancy.

    Source: HOB
    13584
  • A Simple Tool to Start Making Decisions with the Help of AI

    There is no shortage of hot takes regarding the significant impact that artificial intelligence (AI) is going to have on business in the near future. Much less has been written about how, exactly, companies should get started with it. In our research and in our book, we begin by distilling AI down to its very simplest economics, and we offer one approach to taking that first step.

    Source: HOB
    13887
  • Big Data and Data Science Job Opportunities In 2018

    Big data isn't just a buzz word anymore. It is extremely important for organizations to pay attention to it. Data is now driving more organizational decisions than ever before. With vast amounts of data being produced in real-time, there is a huge demand for people with skills to manage, analyze and help organizations use this data effectively. Technology changes frequently, and so do buzzwords. Big data, which was one of the most used terms until recently, has been replaced with 'real-time'. This doesn't mean that the demand for big data skills is now low. Rather, it simply means that the keyword has been replaced.

    Source: HOB
    15522
  • Social Media for Business: Marketer's Guidebook

    If you aren't using social media as a small business owner, you are missing out on valuable customers and inexpensive marketing. Using social media, your social media marketing campaigns have the potential to reach a lot of people. "Social media provides targeting capability, as well as reach and scale, at a lower cost than almost all other marketing channels," People are on social media all day, every day brands must go where the people are

    Source: HOB
    13185
  • Most Used Data Science Tools and Technologies in 2017 and What to Expect for 2018

    The practice of data science requires the use of analytics tools, technologies and languages to help data professionals extract insights and value from data. A recent survey by Kaggle revealed that data professionals relied on Python, R and SQL more than other tools in 2017.

    Source: HOB
    23844
  • Reasons Why Big Data Analytics Should Be Your Next Career Move

    According to Forbes, 53 % of organizations are embracing Big Data Analytics, which means the need to gather and secure data has never been this critical before.

    Source: HOB
    14172
  • How Big Data Works: As a Success or Failure

    Big data is the major field in IT that is going to change many trends in the industry. Their individual applications are ginormous and will start a new era in the technological world. Most companies already understand the importance of using big data to drive insights and decisions and this is already on hype.

    Source: HOB
    8892
  • How can Big Data transform HR?

    Today, big data has made it possible to reap immense benefits for businesses, right from sales, to marketing and accounting, and almost everything. Human Resources (HR) is not a business function that comes to our mind when we think about big data, but it is a business function that can acquire huge benefits.

    Source: HOB
    9234
  • Teradata Looks to Drive 4D Analytics

    Teradata Corporation is a provider of database-related products and services. Putting all the infrastructure in place needed to drive real-time insight is a complex endeavor. The number of individual platforms that need to be stitched together is often daunting to even the most experienced IT organizations. Looking to make it simpler to achieve that goal, Teradata announced it has combined support for geospatial, temporal and time-series data into a Teradata Analytics Platform that can be queried using Python, R, SAS, or SQL-based tools.

    Source: HOB
    9033
  • How Machine Learning Can Apply to Event Processing

    How do you combine historical Big Data with machine learning for real-time analytics? An approach is outlined with different software vendors, business use cases, and best practices. Big Data has gained a lot of momentum recently. Vast amounts of operational data are collected and stored in Handoop and other platforms on which historical analysis is conducted. Business intelligence tools and distributed statistical computing are used to find new patterns in this data and gain new insights and knowledge for a variety of use cases: promotions, up- and cross-sell campaigns, improved customer experience, or fraud detection.

    Source: HOB
    10746
  • Five Big Data and Data Science Trends to Expect In 2018

    According to an IDC Digital Universe Study, by the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet. Uncovering insights from this homogenous amount of information will require the seamless adoption of big data technologies, stronger data security, and integration of AI, machine learning and cognitive technologies applications with business operations

    Source: HOB
    13053
  • How Chatbots Simplify Data Analytics Consumption for Decision Makers

    No matter how large or small a company is, organizations across the globe generate a massive amount of data. While businesses have quickly come to realize that there is tremendous value to be extracted from the large volume of data that is collected, they are still not harnessing the opportunities that can be derived from analyzing data properly.

    Source: HOB
    9648
  • 6 skills to acquire for companies to succeed in Digital Transformation

    Today, we live in a world which is highly driving towards digital transformation. Digital Transformation is more than just a buzzword - it's a process of using technology to radically change your business.

    Source: HOB
    8727
  • Disrupting Data Science with Artificial Intelligence NEC Establishes a Startup in Silicon Valley for Automating Data Analytics

    NEC Corporation (TSE: 6701) today announced the establishment of dotData, Inc., a new startup company based in Cupertino, California, in the heart of Silicon Valley, that develops and globally provides software that automates data science processes using artificial intelligence (AI).

    Source: HOB
    12327
  • 6 ways for leveraging Big Data for your business

    The amount of digital data in the universe is growing at an exponential rate, doubling every two years, and changing how we live in the world. Big Data is surely a big deal. We definitely are seeing an increase in activity with companies responding to the impact big data has made on their business.

    Source: HOB
    8412
  • Will Data And Analytics Roles Ever Become More Clear-Cut At Tech Companies?

    It seems like data/analytics has much less clarity around roles than most other common functions at tech companies. Do you think this will ever change? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

    Source: HOB
    9807
  • Big data is bringing in the big bucks for India's techies

    As more and more Indian firms look to leverage big data for various aspects of their businesses, data science and analytics professionals are having their day in the sun.

    Source: HOB
    17130
  • Big Data: Drives a Successful Marketing Campaign

    Big Data can deliver remarkable marketing campaigns however, the success of the campaign will depend upon the enterprise's willingness to invest in technologies, processes, and its engagement with customers. Many consider marketing as an art nowadays, and it is, beyond doubt, a complicated piece of work, which requires craft as well as graft. Going back to the website's blunder, it is evident that there was a terrible misinterpretation in the analytical data they received. Today, direct marketing heavily relies upon Big Data analytics to pin down individuals based on their Google queries, browsing history, credit card swipes and so on.

    Source: HOB
    8571
  • Top 10 Sectors Making Use of Big Data Analytics

    Big data is growing everyday and becoming a very popular word in the tech world. Many people around us keep talking about it, but do they know what it actually means? Big data is nothing but the collection of unstructured data. This data is not in a particular format and because of this its datasets sizes are generally huge measuring tens of terabytes and sometimes crossing the threshold of petabytes. The term big data was preceded by very large databases (VLDBs) which were managed using database management systems (DBMS). Having so much of data pertaining to the business provides a very niche way of increasing the sales or profits of any company. But in order to do so we need to make use of Big data analytics.

    Source: HOB
    8580
  • 3 reasons to use Machine Learning for Fraud Detection

    Machine learning has been instrumental in solving some of the important business problems such as detecting email spam, focused product recommendation, accurate medical diagnosis etc. The adoption of machine learning (ML) has been accelerated with increasing processing power, availability of big data and advancements in statistical modeling.

    Source: HOB
    11349
  • How can one become a Data Analyst ?

    Data has always been important for businesses, but the importance of information analytics have been discovered only recently. However, generally some people confuse information analytics with big data or other data tools, and think that accomplishment required for data assemblage are same as the skills required for data analytics

    Source: HOB
    8370
  • Big Data's Role in Taxation and Public Administration

    Big data is now playing a large role in most industries, with the number of uses for information rising regularly as new algorithms and methods to analyze data are developed. The application of big data in taxation has eased the effort required for high levels of accuracy, and has increased the uses for tax information around the world. Big data in public administration has yet to play a significant role across the industry, however, its potential awaits untapped.

    Source: HOB
    12252
  • 4 Ways how big data can help enhance operational efficiency

    For any company, ability to analyze, access and manage big amount of data is critical to ensure successful operations. Companies are increasingly looking for ways to reduce costs of using large data while optimizing the value of big data available.

    Source: HOB
    13938
  • The Rise of Data Analytics in Legal Department

    The use of data analytics is becoming more prevalent in the current business landscape. Legal department business models are changing. They're operating more like business units within the corporation and are expected to be high performing and successful.

    Source: HOB
    48183
  • Data Analytics: A key to Business Success

    In recent years, Data Analytics have become a buzzword for every business organization as information is the crucial resource for any organization which can provide a competitive edge to the company.

    Source: HOB
    15036
  • How to Boost your Sales using Data Analytics?

    Analytics has become almost an integral part of any organisation process. It has wide scope in improving decision-making ability, efficiency and growth of the org. In marketing and sales, Some company use data analytics as a tool to enhance efficiency of sales team, increase customer base, generate more revenue and ensure Customer loyalty. However most of the company are still not actively involved with it.

    Source: HOB
    14574
  • Facebook unveils new analytics features

    Facebook introduced new analytics features including a creature to track customer journeying through multiple channels on Tuesday at its F8 developer conference. Journeying is the most notable addition to Facebook s currents analytics peter. It provides omnichannel data and reporting, so marketers can see what exploiter are doing right before they take an action that results in a changeover.

    Source: HOB
    10359
  • How can Big Data Analytics influence Decision Making?

    Big data can transform how decision-makers view business problems and inform strategic decisions, allowing them to rely upon objective data. Good data, sound analysis and valuable insights are critical for mitigating risks, making balanced strategic decisions and competing against others.

    Source: HOB
    31440
  • 6 Ps of Digital Analytics Transformation

    In 2018, data and data analytics can't be ignored. Data Analytics is quite big buzz these days. Analytics is the combination of analysis and logics and it is the collection, measurement, analysis, visualization and interpretation of digital data illuminating user behaviour on websites, mobile sites and mobile applications. Following are the six ingredients of a successful digital analytics transformation.

    Source: HOB
    8460
  • 6 ways how HR Analytics can ease the recruitment process

    Today, organizations acroos the world are leveraging the power of big data in everything, right from designing workplace policies to social media recruitment. Big data has become a buzzword in business circles today. Big data can help a lot when it comes to talent acquisition.

    Source: HOB
    11649
  • Understanding the Latest Trends and Pillars of Trusted Data Analytics

    More businesses and organizations are using data analysis tools, thanks to the explosive growth in the ground of data analytics has seen in recent years. With data analytics, and the kind of outputs expected from it, there are questions growing about the trust that is placed in it, and the fresh ways of decision making.

    Source: HOB
    8244
  • Data Analytics: A Remunerative Career

    With the increase in generation of data, companies are bombarded with large amount of data. This forces company to move towards data-driven approach to business.

    Source: HOB
    10950
  • Predictive analytics- A Proactive Approach to manage business

    With the growing amount of data available with the organization, Data analytics becomes an integral part of almost every business management. Analytics in itself has wide applicability to add more value to the business

    Source: HOB
    11709
  • A Beginner's Manual to Data Science & Data Analytics

    Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. Data has been a crucial part of our lives.

    Source: HOB
    18513
  • Data Analytics and It's Categorisation: Need to Understand

    In 2018, data and data analytics can't be ignored. Data Analytics is quite big buzz these days. Analytics is the combination of analysis and logics. Analytics can't be performed without software's. By applying data analytics we can draw conclusion about the any given set of information.

    Source: HOB
    16440
  • How Big Data can influence decision making in Healthcare Industry

    Analyzing the great potential of Big Data in health care industry, Doctors, Researchers, Scientist and other stakeholders are trying to real world evidence to influence their decision making. Healthcare industry is experiencing a rapid movement towards a new world where focus will be on value and outcomes.

    Source: HOB
    7167
  • How Big Data can influence decision making in Healthcare Industry

    Analyzing the great potential of Big Data in health care industry, Doctors, Researchers, Scientist and other stakeholders are trying to real world evidence to influence their decision making. Healthcare industry is experiencing a rapid movement towards a new world where focus will be on value and outcomes.

    Source: HOB
    8799
  • Big Data Analytics Advancing Industries in 2018

    Manufacturing is important part of the world's economic development, but the roles it plays in advanced and developing economies has shaped dramatically. In developing countries, manufacturing operations bring new employment opportunities that are changing the societies. Manufacturing always remains important as a job initiator in the whole world.

    Source: HOB
    11139
  • 5 Emerging Digital Marketing Solutions in 2018

    The digital transformation and advancement in technology continuously pushing organisations to adopt new technologies. As consumer and marketer both are getting empowered with the development in technology, A marketer cannot afford to miss single opportunity to increase customer overall experience.

    Source: HOB
    13104
  • Why is there so much buzz around Predictive Analytics?

    Predictive Analytics is a buzzword today. Wondering what is it? It's Applications? So, first of all, let's get started on the meaning of Predictive Analytics.

    Source: HOB
    27570
  • Advancement in AI: Turning Point for Telecom Industry

    Telecom sector is one of those industry which always looks for new trends and innovative technology to provide better services to its customer. Telecom Industry has already using the trending technologies such as AI, Chatbots, Machine Learning but the development in AI will be a turning point in terms of connectivity, communication, efficiency and delivering customer services.

    Source: HOB
    13629
  • Data Analytics: In IoT Applications And Investments

    When machines are connected to internet, we start getting real-time data in large amount. That real-time data is not only helpful in the Descriptive analysis but also helpful in understanding the behavioral patterns to get predictive and prescriptive analysis which means what will happen and actions we have to take. In short, with the emergence of IoT, the whole equation has transformed. Now we can leverage this data in our daily job to get best possible outcomes and also understand where their time and money are spent. So that we can use the resources in an effective manner hence wastage can be minimized.

    Source: HOB
    15495
  • How Data Analytics Can Streamline the process of logistics management

    With the growing awareness about big data and data analytics, it has revolutionized many industries. Logistic is another field which is going to see transformations with the application of big data analytics in its process

    Source: HOB
    5238
  • How Data Analytics Can Streamline the process of logistics management

    With the growing awareness about big data and data analytics, it has revolutionized many industries. Logistic is another field which is going to see transformations with the application of big data analytics in its process.

    Source: HOB
    14235
  • Personalize your Customer Experience with mobile Analytics

    Now a day's mobile became the central part of everyone's life. This shows marketer to exploit mobile generated data to deliver delightful experience to their customers. The connectivity through the mobile devices using different mobile apps can tell more about consumers' needs, expectations and behaviors.

    Source: HOB
    13446
  • 50+ Useful Machine Learning & Prediction APIs, 2018 Edition

    Extensive list of 50+ APIs in Face and Image Recognition ,Text Analysis, NLP, Sentiment Analysis, Language Translation, Machine Learning and prediction.

    Source: HOB
    22095
  • Top 12 Interesting Careers to Explore in Big Data

    From data driven strategies to decision making, the true worth of Big Data has been realized, and has led to opening up of amazing career choices. Check out these 12 interesting careers to explore in Big Data.

    Source: HOB
    18771
  • Boost your Career in Data Analytics: Popular Online Certifications

    The shift towards data driven approach has created demand for data analyst. The application of big data and data analytics is increasing day by day. So, career in data analytics will provide students with opportunity in different industries.

    Source: HOB
    7752
  • Increase ROI on Human Capital using People Analytics

    The transformational shift in HR functions from routine matter to strategic function has changed the role of HR manager from supporter to strategic adviser or business partner. With this shift, companies have understood that human resource is central resource.

    Source: HOB
    8946
  • The 10 Step Guide to Mastering Machine Learning

    Artificial intelligence (AI) and machine learning are transforming the global economy, and companies that are quick to adopt these technologies will take $1.2 trillion from those who don't.

    Source: HOB
    13548
  • Predictive analytics: An engine for business growth

    Increased user base on digital channels, growing awareness of big data and implementation of data analytics are elevating marketing efforts and its impact on bottom-line. Now, smart marketer use predictive analytics to their grow business.

    Source: HOB
    7473
  • Data Science for Startups: Business Intelligence

    Part four of my ongoing series about building a data science discipline at a startup. You can find links to all of the posts in the introduction.

    Source: HOB
    12912
  • Do you know why implementation of advance analytics fail?

    The business leaders are investing huge amount in analytical tools, data scientist and data analysts. Still they are not gaining added value in business. Implementation of advance analytics is not proving them scalable solutions.

    Source: HOB
    7506
  • Analytics without data-driven culture will not work: Tips to build Data-driven Culture

    Data-driven approach became one of the important feature of modern business organizations where analytics is the key strategy for competitive and sustainable business growth.

    Source: HOB
    11199
  • Banking, Big Data Analytics & The Latest MBA Jobs Trends At Johnson At Cornell

    Cynthia Saunders-Cheatham is a senior careers director at Johnson at Cornell. She says more employers want MBAs with data analytics skills

    Source: HOB
    10035
  • Some examples where AI and Machine learning are impacting our daily life

    Artificial intelligence and machine learning is no more hype. These technologies are changing our life, the way communicate, the way we do business and the way we live. We can say many examples where AI and machine learning has transformed our daily life.

    Source: HOB
    12888
  • More than 90,000 jobs available in Data Science and analytics in India: Report

    It also brings out the fact that India currently contributes about 10% of the open job openings for data scientists globally, making it the largest data science hub in the world outside the U.S.

    Source: HOB
    10746
  • Leveraging Customer Sentiment Analytics to Build Customer Loyalty

    The game today is no longer just about products and services, but end to end customer experiences. Great experiences create loyal customers and competitive advantage. We plan strategies for customer loyalty programs or customer retention, but at the same time we forget that loyalty is a sentiment. The planned strategies can only worked if our customers have any kind of sentiment towards our offerings. If it's good, it can be bettered, if it's bad it can be remedied. But the main thing is that, what do your customers feel about you?

    Source: HOB
    7320
  • India has the most number of data analytics jobs after the US

    If ever there was a gold rush for data scientist jobs, India would be ground zero - or almost.

    Source: HOB
    13929
  • How Big Data Can Improve Customer Surveys

    Customer survey is the primary source of deriving customer feedback for many companies, despite the growth in embracing of other customer feedback sources like social media, call center conversations and emails. It usually contains structured questions, requesting customers to rate their level of satisfaction with their experience. Two common customer surveys are relationship and transactional surveys. The main difference between these two surveys is that relationship surveys measure attitudes about the experience and transactional surveys measure attitudes in the experience. These approaches of the survey are used to help businesses to improve the both strategic and tactical decision-making power.

    Source: HOB
    6744
  • How visualization is important in Big data analysis

    Now big data and analytics lies in the heart of every organization but data will act as a garbage for data scientist until and unless they are not able to visualize the data and its impact on key activities and the business outcome.

    Source: HOB
    11667
  • India's Analytics, BI software market to reach $304 million in 2018: Gartner

    The revenue of India's analytics and business intelligence (BI) software market will reach $304 million in 2018, an 18.1 per cent increase over the past year, according to a Gartner forecast on Tuesday.

    Source: HOB
    24678
  • 5 Ways Retailers and Business Owners Can Beat Their Competition

    In retail business there is some form of typical competition that has been evolved from an longer period in business .The retail business is to identify the needs of the customers in which the best sales can shine out among the competitors . The response of every business folks is to analyze and make comparison to other businesses in your industry. Find if there is something useful to the customers as well as to your business and the good response is to define your brand and consistently communicate your own Unique Selling Proposition. This blog will gives you the 5 strategic ways through which you were able to beat the competition and also remain in business strong and lucrative.

    Source: Roosboard
    17592
  • Data intelligence is changing Business landscape in India

    Technology revolution all over the world are changing the business landscape and making the world more competitive. The data is growing exponentially and the only way to survive is to exploit data intelligence and analytics.

    Source: HOB
    11298
  • AI: Farmers New Helping Hand

    Indian is an agrarian economy over 58 percent of the rural households depends on agriculture as their principal means of livelihood. Agriculture activities like planting, maintaining and harvesting crops need money, energy, labor and resources so diminish and switch some of the human actions and guarantee efficiency that why the AI comes into the picture. The big company Microsoft is taking AI in agriculture a further step and helped Indian farmers to begun use of AI to increase efficiency and further encouraging them to harvest a good crop.

    Source: HOB
    15681
  • Indian Navy: Incorporating Data Analytics and Artificial Intelligence

    Indian Navy is planning to incorporate big data analytics and artificial intelligence into their operational functioning of the forces. In the conference of the commanders they reviewed the Navy's "Mission Based Deployments". The purpose of the review is at maximizing benefits ensured from the deployment of Indian Navy ships and aircraft to the dangerous areas within the Indian Ocean Region.

    Source: HOB
    19683
  • ZARA: Leveraging AI, Big Data and Analytics

    Inditex, the world's largest clothing retailerand owner of Zara stocks up on Artificial Intelligence, Big Data and analytics into its business strategy to stay ahead in the race of competition. The biggest fashion retailer is hooking up with tech companies and hiring talent from startups and partnering Analytics and investments, which offers an AI-powered consumer behavior forecast platform.

    Source: HOB
    53133
  • Boost Your Leadership Career with the Help of Big Data

    Big data is used to identify patterns and trends that can yield powerful insights into human interactions majorly consumer behavior. The data includes demographic, geographic and psychographic attributes collected from diverse sources throughout the consumer cycle as well as from the other field of the individual's life.

    Source: HOB
    7593
  • Differentiating between Data Science, Big Data and Data Analytics

    Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. Data science and data analytics, people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. However, although they may sound similar, the terms are often quite different and have differing implications for business. Knowing how to use the terms correctly can have a large impact on how a business is run, especially as the amount of available data grows and becomes a greater part of our everyday lives.

    Source: HOB
    27222
  • Data Analytics: A competitive Edge for the Business

    In 2018, data and data analytics can't be ignored. Data Analytics is quite big buzz these days. Analytics is the combination of analysis and logics. Analytics can't be performed without software's. By applying data analytics we can draw conclusion about the any given set of information.

    Source: HOB
    8388
  • Skills Required For Data Scientist

    Leveraging the application of big data, whether it is to improve the process of product development, improve customer retention or work through the data to find new business possibilities organizations are more relying on the expertise of data scientists to sustain, grow and beat their competition. Consequently, as the market for data scientists increases, the system presents an exciting career path for students and existing professional.

    Source: HOB
    7737
  • Highest Demanding Job Roles in the Year 2018

    For all those who are searching for job, year 2018 is going to be the year where you can move further in the tech industry and here is the list of top 10 highest paying jobs.

    Source: HOB
    8529
  • What does a data team really do?

    A guide to making the most out of your data.

    Source: HOB
    9126
  • Is it Necessary to Know Big Data Before Data Analytics?

    No,but if you have some knowledge about data mining algorithms. That will be beneficial in learning data analytics. Data Analytics is a field demanding a variety of skills. Having knowledge of Hadoop is one of them.

    Source: HOB
    17289
  • Data Scientist needs Strategic Thinking

    Having done training and mentoring for quite a while, I noticed something that is not taught in most data science curriculum that I have come across but in my opinion, its an essential business knowledge that the data scientist need.

    Source: HOB
    9474
  • Importance and Scope of Data Analytics in Business World: Need To Know

    Analytic is the interpretation of the data collected. Raw form of data is not of any use. It is important to convert raw data into analytic so that it is easier to find that what is the decision that are to be taken by the use of analytic. Businesses use this analytic for making actionable business analytic that will help them in taking real time actions.

    Source: HOB
    20637
  • Is Data Analysis Different from Data Analytics

    Data Analysis and data analytics are often treated as interchangeable terms, but they hold slightly different meanings. Data analysis is the overarching Data Analyst practice that encompasses the use of data analytics tools and techniques to achieve business objectives

    Source: HOB
    8241
  • Aviation Industry bets on Big Data Analytics

    Big Data

    Source: HOB
    9309
  • Aviation Industry Bets on Big Data Analytics

    Aviation Industry is on radar next and it bets on Big Data Analytics. This industry needs to move beyond its present way of working so big data analytics is only key to unlock the potential.

    Source: HOB
    17706
  • Five Hottest Big Data Trends

    The growth of data is not going to stop. This will usher in new challenges and opportunities. Below you can find the five hottest big data trends for techies and business.

    Source: HOB
    8721
  • How to Learn Mathematics for Machine Learning?

    Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

    Source: HOB
    24570
  • Online Retailers are Leveraging Big Data Analytics to Gain Customer Experience

    The retail industry traditionally has been generating detailed data on consumer behaviour and purchase history through various transactional and customer relationship systems. Exploiting these data to increase basket value and optimize margin remains a challenge with traditional technologies of business intelligence tools and data warehouse architectures.

    Source: HOB
    9954
  • How AI is helpful in Marketing Research

    AI has gained its popularity in many industries and in various fields as well. It is also going to impact market research and its audience. AI also helps marketers to gain insights about the data that has been already collected.

    Source: HOB
    8112
  • Google Next 2018: A deeper dive on AI and machine learning advances

    Google Cloud announcements bring deep learning and big data analytics beyond data scientists, but enterprises will want more.

    Source: HOB
    12045
  • Streamlining the Data Scientists Workflow

    Data Scientists are big data wranglers. They consider mass and messy data both structured and unstructured and use their formidable skills and organize them accordingly. They use or apply their analytics power to uncover hidden solutions to business challenges.

    Source: HOB
    15810
  • What set of Skills are required for Machine Learning Jobs?

    The skills that have remained important are (a) understanding the fundamentals of statistics, optimization, and building quantitative models and (b) understanding how models and data analysis actually apply to products and businesses.

    Source: HOB
    25398
  • 5 Industries Becoming Defined by Big Data and Analytics

    The ever-improving capabilities of big data platforms increasingly create new opportunities for industries with representatives who want to examine analytics to benefit their companies.

    Source: HOB
    18108
  • How Organizations can get Best Out of Data Scientists?

    Data Scientists is the highest paying and demanding job in the current year. All HR professionals are under pressure to get hired the best data science talent so they can achieve the valuable business insights. According to Harvard Business Review described the role of data scientists as it is the sexiest job of the 21st century.

    Source: HOB
    6717
  • Why Data Visualization Tools are Required for IoT Data?

    IoT has already created the hype in the business world. Keeping security and occasional performance issues aside, IoT has already created more productive environments in the business by the year 2025, its direct economic impact on retail, manufacturing, healthcare and other important industries.

    Source: HOB
    7326
  • Global Dark Analytics Market Predicted to Reach USD 928.58 Million By 2024

    According to the report, global dark analytics market was valued at around USD 193.65 million in 2017 and is expected to reach approximately USD 928.58 million in 2024, growing at a CAGR of 25.10% between 2018 and 2024.

    Source: Zion Market Research
    5217
  • Cognitive Computing Leads to Business Growth

    Computers are always been quicker than humans at consuming, calculating and computing data and artificial intelligence have benefited a boon for our global economy. Combining insights from computer science with cognitive science can advance human thought, shape outcomes in ways that transform the process of human capital development and enhance overall employee contributions and engagement.

    Source: HOB
    8025
  • The Way How Companies are Managing Data and Improve Data Handling?

    Here we get to know that how companies can use systems of insights platform to improve the data sourcing, analysis and insights and how they are managing their data. Recently TIBCO has also published a webinar on know the answer of this question. According to director of analytic strategy, Shawn Rogers that how closed-loop SOI platform offer a continuous learning solutions. All the experts are always in search of getting good or valuable data so that they can get best from that by using their analytical skills.

    Source: HOB
    13674
  • Role of AI in Real-Time Analytics

    Significantly every industry is finding a way to benefit from AI-driven analytics. While great strides have been made in the adoption of real-time analytics in the marketplace, artificial intelligence could ramp this up. We have analyzed along the way with analytics in recent years, in which data is applied against algorithms or analytics engines to determine what it may mean to the business.

    Source: HOB
    13221
  • Why Demand for Hadoop and Big Data Has Increased?

    From a very generic perspective it does not matter how small or big the company is, it depends on the amount of data the type of data and how are they using the data. As per the recent trend, the need to handle with large amount of data is increased. As per the business requirements we are not able to achieve 100% accuracy when we are dealing with normal data conversions.

    Source: HOB
    6144
  • How to Run Parallel Data Analysis in Python using Dask Dataframes

    Sometimes you open a big Dataset with Python's Pandas, try to get a few metrics, and the whole thing just freezes horribly.

    Source: HOB
    11496
  • Top 10 roles in AI and data science

    When you think of the perfect data science team, are you imagining 10 copies of the same professor of computer science and statistics, hands delicately stained with whiteboard marker? We hope not!

    Source: HOB
    11853
  • Role of RPA in Accounts

    Data Science, Machine Learning, Artificial Intelligence and data analytics are quite buzzword. No doubt these technologies will transform all the industries but most likely the technology that will change our profession in the short run will be Robotic Process Automation (RPA).

    Source: HOB
    6570
  • How Important Big Data and Analytics in an Organization?

    The growth and success of the organization totally depend on your ability to collect good amount of data, managing those data which leads into business insights and outcomes. Data is all around only matter is that we have to collect good structured data which is further helpful for the organizations.

    Source: HOB
    13194
  • How Long the Latest Technology Machine learning will Help?

    Machine learning is having a huge impact in almost all the industries. From Google brain to self-driving cars all are made using a machine learning algorithm. It is currently growing and expanding rapidly and more and more people are learning it.

    Source: HOB
    7686
  • Some Great Books for Getting Started in Data Science

    I was listening to an old episode of Partially Derivative, a podcast on data science and the news. One of the hosts mentioned that we're now living in the "golden age of data science instruction" and learning materials. I couldn't agree more with this statement. Each month, most publishers seem to have another book on the subject and people are writing exciting blog posts about what they're learning and doing.

    Source: HOB
    11142
  • A Comparative Data Analysis of Top 6 Business Intelligence and Data Visualization Tools in 2018

    Nowadays, there is a huge list of powerful data visualization tools to help you illustrate your ideas, visualize your data, make it talk, share your significant analytics with customers and the global community.

    Source: HOB
    25359
  • How to tackle Fake News Problem through Machine Learning

    I recently had the chance to use machine learning to address an issue that is at the forefront of the American media, the difficulty of recognizing fake news.

    Source: HOB
    10269
  • Career Transition Towards Data Analytics & Data Science. Here's my Story

    At the moment of writing this post about Data Analytics and Data Science, I am bootstrapping a data literacy consultancy, catering to large enterprises around the globe.

    Source: HOB
    9918
  • Business Results can be Improved With the Help of Big Data Analytics

    Big Data Analytics is the perfect solution for the complex problems. Every marketer have to take right decision for their organization and now for all those decisions they need not to be depend on their employees. With the help of big data analytics they can easily come to know about each fact and findings.

    Source: HOB
    7986
  • 100 Free Online Programming Language and Computer Science Courses at Intermediate Level- Part 2

    We have covered all the courses at a beginner level. As i have classified these courses on the basis of difficulty level. Here we have come up with 200 online programming language and computer science courses at an intermediate level.

    Source: HOB
    15729
  • What Data Scientists Really Do? According to 35 Data Scientists Report

    Modern data science emerged in tech, from optimizing Google search rankings and LinkedIn recommendations to influencing the headlines Buzzfeed editors run. But it's poised to transform all sectors, from retail, telecommunications, and agriculture to health, trucking, and the penal system.

    Source: HOB
    12303
  • Lets Start Using Data Science To Drive Greater Business Success: Data Scientist

    Despite the struggles, it is possible to leverage data science and machine learning to scale your business, save time and grow revenue while improving your customers' experience.

    Source: HOB
    8082
  • Top 12 Famous Data Science, Big Data & Data Analytics Influencers In 2018

    As data science and big data get the hype in the industry, handling it is a challenge we need to deal with. Along with all the pros on one side keeping yourself advent with the latest improvements in this field is another issue which bothers us.

    Source: HOB
    19602
  • How To Become a Data Scientist, According To Grab's Data Science Head

    What do data science, data analytics, and business intelligence mean at Grab and how are they being used? - Wong Mun

    Source: HOB
    62535
  • Jobs in Google, Accenture, Walmart, Amazon & More: Latest openings for Data Science, engineers, Analyst and more

    The Tech Companies are hiring for various positions in India and abroad for Data Science, Artificial Intelligence, Machine Learning. Know the eligibility criteria, job location, and profile. Find out what all is needed to work with the biggest tech-giant in the world

    Source: HOB
    23259
  • Want A Job In Data Science? There May Be A Test To Become Data Scientist

    Data analytics is becoming more vital for businesses, and data scientists are in high demand. But the emerging field is broad, and some companies say they have struggled to find job candidates whose skills fit their needs.

    Source: HOB
    60600
  • Analytics Plays an Important Role in Social Media

    Social Media data is the new gold and analytics for the businesses. Social media analytics is an amazing art and science of extracting valuable hidden business insights from the platform called social media.

    Source: HOB
    12432
  • Why Data Sciences Today Cannot Be Ignored by Smart Entrepreneurs?

    With data sciences being the focal point, Entrepreneur India analyses why this new trend is now the essential tool for a majority of smart entrepreneurial solutions.

    Source: HOB
    9585
  • Understanding the terms NLP, NLU, NLG and how Chatbot Works?

    Chatbots can open the doors of endless business opportunities providing the compelling writing and the visuals. They can effectively deal with every aspect of branding while offering a competitive edge to entrepreneurs and leads to higher productivity.

    Source: HOB
    14520
  • Top 10 Big Data Trending, Everyone Should Know

    A collection of Big Data trends to familiarize yourself with, covering IoT Networks, Artificial Intelligence, Predictive Analytics, Dark Data and more.

    Source: HOB
    13833
  • Why Data Science Is The Most Hottest Career in 2018

    In today's world, whatever your job, having skills and knowledge in Data Science will play a huge role in your career development. For example, big data and analytics gathered from customers allow marketers to build more effective digital marketing campaigns.

    Source: HOB
    13965
  • Data analysis could be key to Success In Your Career

    Understanding data is key to unlocking job opportunities - Harvard Gazette. New course hopes to give students an edge in the job market.

    Source: HOB
    8997
  • Whom To Hire Data Scientist or Data Engineer for Data?

    Data Scientist is the very demanding role in every big organisation and they have power to unlock the hidden values in the data's. They are very good at data handling and manages data at a very huge scale.

    Source: HOB
    14772
  • How can Companies Unshackle Data Science from IT?

    There are several ways companies can alleviate the pain and accelerate the data science transition, particularly as it relates to the IT department.

    Source: HOB
    13362
  • Looking For Data Science Jobs: The Perfect Data Scientist Doesn't Exist

    What are the most to least important skills, and the types of people who apply for data science jobs. I talked about all of the skills I want in an ideal candidate. But since that candidate doesn't exist, I have to prioritize what attributes the candidates that I hire have.

    Source: HOB
    16233
  • Differentiating Between Data Analytics, And AI Machine Learning, Everyone should Know!

    The artificial intelligence (AI) industry has been leading the headlines consistently, and for good reason. It has already transformed industries across the globe, and companies are racing to understand how to integrate this emerging technology.

    Source: HOB
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  • How I Had Started My Career Into Data Analytics During My Nanodegree

    I started off by doing online courses for Data Analytics that were either free to access or available at a small cost, all of which were very focused on certain topics of the Data Analytics field.

    Source: HOB
    12084
  • 10 Key Technologies Playing Big Role in Big Data Analytics For Businesses

    The big data analytics technology is a combination of several techniques and processing methods. What makes them effective is their collective use by enterprises to obtain relevant results for strategic management and implementation.

    Source: HOB
    19896
  • Data Analytics is Not Tough to Learn, Starting is Tough!

    People often ask me How can I learn Data Analytics? and I often stumble upon this question How to become a Data Analyst on Quora too. The answer is pretty much clearly available all over the internet. The actual issue is not how to become a data analyst but it is if we are ready to become one?

    Source: HOB
    22440
  • Learn 10 Statistical Techniques to Become Data Scientists Master

    Regardless of where you stand on the matter of Data Science sexiness, it's simply impossible to ignore the continuing importance of data, and our ability to analyze, organize, and contextualize it.

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    23991
  • Understand The Machine Learning From Scratch For Beginners

    Machine Learning is the term which we have been Hearing Now everywhere. When I Started My ML Journey Back in April 2016 I was like complete Noob having No Idea what ML is I used to Think does ML means that Machine are learning ?

    Source: HOB
    35574
  • Understanding The Facts About Business Intelligence

    All marketers are familiar with the value of monitoring and analyzing web data and analytics. Most of the organizations are using Google Analytics to know the facts and figures of the organization. All extracted data leads to the efficiency, revenue growth and success of a business.

    Source: HOB
    20082
  • Why Data Analytics and Artificial Intelligence in Crypto-Sphere?

    Why Data Analytics? To answer this question, you need first of all few clues about my background. I am Rachid Oukhai, founder of Upsilon, Peculium (Data).

    Source: HOB
    11562
  • Data Science Leads to the Business Success

    In today's world with the introduction of "Internet of Things" and the improvement of "AI Technology" has led to implementation of big data solutions to almost every organization whether small or large organizations. With the help of big data analytics the management can easily take the decision and improve their operational efficiency.

    Source: HOB
    9573
  • How to Run Parallel Data Analysis in Python using Dask Data frames

    Sometimes you open a big Dataset with Python's Pandas, try to get a few metrics, and the whole thing just freezes horribly. If you work on Big Data, you know if you're using Pandas, you can be waiting for up to a whole minute for a simple average of a Series, and let's not even get into calling apply.

    Source: HOB
    20757
  • 80% of Global Businesses Looking To Hire A Data Scientist in 2019 According to MHR Analytics

    Survey of company leaders shows the vast majority are planning to hire data scientists as economic uncertainty continues.

    Source: HOB
    57777
  • How is NASA using Artificial Intelligence to explore the space?

    Artificial intelligence is really invaluable right across the spectrum of space problems.

    Source: HOB
    8760
  • Data Means Big Money: Companies Making Money From Data

    Companies are aware with the importance of digital data in businesses. All organizations had already started to understand and identify what valuable data they can possess. So they are collecting it, analyzing it and using it to improve their business and operations. They are leveraging machine learning applications that help them in solving complex hurdles.

    Source: HOB
    9780
  • Collection of 20 Plus Best Big Data Books, Add Value To Businesses

    There are lot of online free resources available from where we can get insights and use that knowledge in our daily routine. But here is the collection of good Big Data books that matches in-depth and comprehensive detail for the readers and these books are selected on following parameters like relevancy, popularity, ratings, publish date and ability to add value to businesses.

    Source: HOB
    7530
  • Data Science and Machine Learning Through the Eyes of Fiction World

    The two most powerful technologies Data Science and Machine Learning are not only changing the industries but also influencing many movies-makers across the globe. Basically these technologies are penetrating the entire world.

    Source: HOB
    8901
  • How to Use Data Analytics to Understand Customers, Business, & Make More Money

    Despite my math background, I've always considered myself first and foremost a consumer researcher who uses data analytics to gain insights into human behavior, and that's what I focus on at Farmers Insurance. Today, if you're a small business owner, you need to get that data just as much as any large corporation. And even if you've always been math-averse, you can learn how to apply analytics to your own business.

    Source: HOB
    11004
  • Really Analytics Is A Perfect Combination of Analysis And Logics?

    In 2018 it's good time enroll for Data Analytics and it can't be ignored as analytics is the combination of analysis and logics. Data informs a large amount of decisions with strong groundwork rather than just taking shots in the dark.

    Source: HOB
    8295
  • Collection of 10 Startup Companies That Will Be Unicorn In Coming Years

    All data technologies are evolving and getting a lot of hype in the industries. Now most of the organizations are leveraging these technologies ie. Artificial Intelligence, Machine Learning and Data Science. In this article there is a colloection of few artificial Intelligence, Machine Learning and Data Science start-ups in India.

    Source: HOB
    16302
  • Why Data Skills Would Be Important For Employees in Coming Years?

    Data is not for only Analytics team now as Data Scientists are in demand and data covers all most many roles in an organization and employees need the literacy to handle it effectively. Now in most of the organization the data skills matters a lot because data is gold for all the industries and it is in very huge numbers as well.

    Source: HOB
    8181
  • Implementing Predictive Analytics when Data is in Large Quantity

    Predictive Analytics is a buzzword in today's technical world. Data is in huge quantity and it is very hard to manage those data so predictive analytics come into the picture. Wondering what is it? So, firstly we should start with the meaning of Predictive Analytics that what exactly it is.

    Source: HOB
    7182
  • Implementing Predictive Analytics when Data is in Large Quantity

    Predictive Analytics is a buzzword in today's technical world. Data is in huge quantity and it is very hard to manage those data so predictive analytics come into the picture. Wondering what is it? So, firstly we should start with the meaning of Predictive Analytics that what exactly it is.

    Source: HOB
    4890
  • Implementing Predictive Analytics when Data is in Large Quantity

    Predictive Analytics is a buzzword in today's technical world. Data is in huge quantity and it is very hard to manage those data so predictive analytics come into the picture. Wondering what is it? So, firstly we should start with the meaning of Predictive Analytics that what exactly it is.

    Source: HOB
    4536
  • Polish Your Knowledge And Skills With These Data Science Programs

    Data Science is a very huge field and it allows fresher and experienced professionals to kick-start their career in this evolving field. Now HR of the companies are seeking for Data Scientists CV and ready to pay the highest salary. For this most of the people are struggling to get learn about data science.

    Source: HOB
    27507
  • Awesome Mario Kart Character According To Data Science - Every Data Scientist Should Learn

    My Mario Kart reflexes aren't what they used to be, but I am better at data science than I was as a fourth grader, so in this post, I'll use data to finally answer the question "Who is the best character in Mario Kart?"

    Source: HOB
    14862
  • 10 reasons why Data Analytics can be a real hair puller for companies?

    Data analytics is the primary enabler to derive insights and reach out to meaningful truth, resulting in business growth and increased revenue.

    Source: HOB
    8022
  • Substitution, Extension & Transformation: The Three Keys Of Digital Transformation

    Technology Business Research (TBR) recently come out with a report and its headline is, "Winning The Business Of Digital Transformation Services Requires A Process-Led Approach" authored by Sebastian Lagana and Jennifer Hamel. The report is full of good nuggets, but what all professionals especially liked the way that they categorized the 3 phases of Digital Transformation in his report:

    Source: HOB
    10497
  • Introducing Data Science In Healthcare Industries

    There is no more field left by Data Science as with the help of Data Analytics the medical science will move to the new level from computerizing medical records to drug discovery and genetic disease exploration. Data Science and medicine are continuously developing and it is important that they both will advance together.

    Source: HOB
    5928
  • Introducing Data Science In Healthcare Industries

    There is no more field left by Data Science as with the help of Data Analytics the medical science will move to the new level from computerizing medical records to drug discovery and genetic disease exploration. Data Science and medicine are continuously developing and it is important that they both will advance together.

    Source: HOB
    15063
  • Top 100 Free Online Data Science Resources & Tools to Learn Data Science in 2018

    Top 100 Data Science Resources & Tools For 2018 Whether you're just getting started in data science, or are gearing up to get a Masters in Data Science or Business Analytics, there's always more to learn. This guide gathers 2018's top data science resources on the web for learners of all stages.

    Source: HOB
    36324
  • How to Become a Data Science Leader in Industry? Do The Maths

    Deirdre Dempsey has decades of experience dealing with data analytics, data science stemming from a strong foundation in mathematics.

    Source: HOB
    8538
  • Know How Data Scientists Accomplish Their Data Science Projects?

    If you want to become more data driven than you should have good understanding of all the languages and you're supposed to be master in Data Science field as well. Building the first data project is actually not that hard only you should know the basic steps and categorize them from raw data to building a machine learning model.

    Source: HOB
    13347
  • What Mistakes Are Usually Done By Organizations While Deploying Machine Learning?

    Machine learning offers organizations the potential to make more accurate data-driven decisions and to solve problems. Now organizations are leveraging the machine learning technology and this is not the magic it presents many of the same challenges as other analytics methods.

    Source: HOB
    18714
  • 7 Biggest Benefits of Using Search Engine Tools for Data Analysis

    Mention the word "search" to most laypeople and it conjures images of Google and Bing. Mention it to most data scientists and it usually conjures notions of keywords and text retrieval, and maybe a passing reference to open source projects like Elasticsearch, Apache Solr, of they are particularly well-versed-Apache Lucene.

    Source: HOB
    8901
  • Big Data Analytics Pentagon Every Data Scientist needs to avoid.

    For Data Scientists, mistakes help them become sharper and discover new data trends, but that doesn't mean mistakes in Big Data Analytics are not sometimes quite problematic.

    Source: HOB
    9444
  • If You Are a Data Scientist Then You Should Have These Apps In Your Mobile

    A collection of useful mobile applications that will help enhance your vital data science and analytic skills. These free apps can improve your listening abilities, logical skills, basic leadership qualities and more. Data science and machine learning are evolving with their abilities to transform the world around you.

    Source: HOB
    62331
  • Top 20 Questions to Ask Prior to Starting Data Analysis

    It is crucial to ask the right questions and/or understand the problem, prior to beginning data analysis. Below is a list of 20 questions you need to ask before delving into the analysis

    Source: HOB
    11301
  • List Of Artificial Intelligence & Machine Learning Companies Acquired By Top Giants In 2018

    According to IDC, global spending on Artificial Intelligence (AI) and cognitive systems will reach $19 billion by 2018. This is an increase by approximately 54% over the total amount consumed in 2017. Mergers and acquisitions are constantly taking place. 2017 alone witnessed some huge acquisitions like Yahoo was acquired by Verizon, Apple bought Shazam etc. Top consulting company Deloitte predicted that technology acquisitions will accelerate mergers and acquisitions in 2018.

    Source: HOB
    20823
  • Top 10 Best Executive Data Science Courses in India to Become Data Scientist Expert

    A Data Science primary survey was conducted in August through September 2018, where 961 current and past Data Science students from 18 cities in India gave opinions on data science courses they attended.

    Source: HOB
    185571
  • Which Is Best Choice For Masters Degree Between Data Science & Business Analytics?

    Business Analytics is more suitable for folks who enjoy work which will involve leveraging both business and technical skills in order to create value for the clients. On the other hand, Data Science is a little bit heavier on the coding and technology. During the interview process for Data Science courses, you can expect to be grilled much more on your coding skills as compared to a Business Analytics program.

    Source: HOB
    66297
  • Future Through The Eyes Of Data Science

    Once the Business Intelligence reports and dashboards have been prepared and insights which are extracted from them, this information becomes the basis for predicting future values. And the accuracy of these predictions lies in the methods used.

    Source: HOB
    23448
  • Figuring Out Data Trends And Patterns Out Of Raw Data With The Help Of Data Visualisation Tools

    Big Data visualisation is among the utmost important components of working with various Big Data analytics solutions. Once the flow of raw data is represented with images, decision making becomes much easier. In order to meet and exceed the customer's expectations, the tools for Big Data visualization should provide a certain set of features.

    Source: HOB
    10527
  • How Organizations Can Save Money From Big Data?

    Analyzing data has become an essential part to leverage business significantly & gain a competitive advantage. Research says organizations that rely on big data-driven business strategy can gain insights faster for reducing costs and increasing revenue. Top brands like Intel has successfully made use of these from top big data analytics companies to analyze their data for advanced marketing & huge savings.

    Source: HOB
    11955
  • Google Analytics is here to help marketing industries and SEO.

    Check out five of these actionable intuitions you can learn from Google Analytics and see how you may be able to apply them to improve your SEO.

    Source: HOB
    10830
  • How to differentiate a Website and a Web-Enabled Application? Let's know

    So here is the difference between a website and a web-enabled application. It is pretty easy but difficult too as a website is related to a particular page and web app is a portal where you get all the content and the information and you can easily view the web apps through browsers.

    Source: HOB
    20829
  • Why So Many Data Scientists are leaving their jobs, 4 Most Important Reasons

    Here are 4 main reasons data scientists may become dissatisfied with their jobs. Data professionals choose the career path of data science for the complex problem solving, the cool new machine learning algorithms and the expected impact their work will have on real business problems. However, this is often not the case.

    Source: HOB
    147693
  • Know How Data Science And Machine Learning Provide Financial Solutions To Companies?

    In recent years, the ability of data science and machine learning to cope with a number of principal financial tasks has become an especially important point at issue. Companies want to know more what improvements the technologies bring and how they can reshape their business strategies.

    Source: HOB
    23283
  • Enhancing Customer Experience With These Technologies: Natural Language Processing, Machine Learning & Deep Learning

    Since the inception of computers, scientists have had a strong desire to make machines understand the human language. Communicating like a human is a big ask for a robot. Natural Language Processing. NLP has been around for a while, but as of late, has benefited from recent developments in Machine Learning and Deep Learning techniques. Machine Learning is a subfield within Artificial Intelligence that builds algorithms that enable computers to learn to perform tasks from data instead of being explicitly programmed.

    Source: HOB
    10602
  • Technology The Cyber Security Strategy Demand: Big Data & Machine Learning

    As cyber threats continue to evolve, big data and machine learning are increasingly necessary for a strong cyber security strategy. Will Cappelli, vice president of research at Gartner, says that companies are combining big data and machine learning capabilities as part of a more powerful approach to cyber security.

    Source: HOB
    13533
  • Big Data Analytics might be the cleverest way to improve customer experience

    It's very common for a customer to see advertisements for products that they may have recently searched for, but also sometimes the marketing emails and pop-up ads are not necessarily suitable with the consumer's interests and may come across as more annoying than actually useful.

    Source: HOB
    10362
  • "Big Data" Is One Of The Most Important Asset For The Businesses

    Various business trends today, such as the use of artificial intelligence and multimedia visual marketing, are connected to the concept of Big Data. Every action internet users take generates a data trail, and the amount of machine-generated data is growing too.

    Source: HOB
    6126
  • No Language Skills, No Problem: This 6-Day Course Teaches You Data Science & Analytics

    You're probably aware of this by now: data science and data analytics are the skills to have in this day and age.

    Source: HOB
    11835
  • Big Data Big Responsibility!!

    Organizations combine vast amounts of information from several sources some public, some proprietary, some from human activity, some from devices to gain unique insights about human behavior and decisionmaking.

    Source: HOB
    8184
  • Customer Centric Data Mining!!

    Data mining is sifting through all of the data collected by a business or organization, searching for relationships so that reasonable predictions can be made with regard to behavior. This kind of activity is most common among businesses that deal with consumer behavior of any kind.

    Source: HOB
    24495
  • Top 26 Big Data Certifications That Will Pay You High Salary

    Data scientists, data analysts, and data engineers are in high demand. Here are the big data and data analytics certifications that will give your career an edge.

    Source: HOB
    32586
  • Top 26 Big Data Certifications That Will Pay You High Salary

    Data scientists, data analysts, and data engineers are in high demand. Here are the big data and data analytics certifications that will give your career an edge.

    Source: HOB
    8223
  • What news reflect can't be reflected by social media and marketing?

    Social media is just the opposite what it tried to present, as said, leaving everything behind social media didn't come to a period of beating the news behind in any way.

    Source: HOB
    11247
  • When Big Data Join Hands With Machine Learning Leads To Much Smarter Decision

    Machine Learning and Big Data are the two popular terminologies and both are revolutionizing business operations and regularly providing lots of new opportunities. Machine Learning is presently more subject to practical, large-scale applications than it has ever been in past. Big data on the other hand, became a thing in 2013, after it was observed that 90 percent of the world's data was generated in past years.

    Source: HOB
    8556
  • Are You Trying To Change Careers or Get Your Start in Data Science?

    If you're someone who is looking to make a move to data science, there are some ways that you can polish your approach to get noticed during your job search.

    Source: HOB
    7500
  • Machine Learning: Few Tips to Overcome Crooked Data

    Every computer system uses machine learning as it has refined their performance on a definite task. Machine learning is mainly the overview of algorithms and closely concomitant to computers statistics which mainly focuses on predictive analytics. These algorithms are used in many applications, however, they do not work competently with imbalanced datasets. If you have gone through machine learning and data science, you might have faced problems related to imbalanced data.

    Source: HOB
    8493
  • The Secret For Success: Big Data & Cloud Computing!

    The Big data revolution and cloud computing are getting hype and companies are shifting the way they think the way of doing business to incorporate data that will drive their decision-making process. Business models keeps to grow on a constant basis and are presently targeting a system-wide transition based on a data-centric architecture.

    Source: HOB
    6258
  • What Are The Big Misconceptions With Big Data?

    It can't be denied that Big Data is a hot topic in present times. But there are businesses still struggling to shift from concept to execution. The only new thing which allows us to make sense of this information is analytics. The primary goal of analytics is the exploration or application of analytic techniques to large amounts of information in variety of types including unstructured data which comprises of text strings, sound and movie files, documents, images, geo-location data, and documents.

    Source: HOB
    6483
  • Know The Past And Benefits Of Cloud Computing

    Cloud Computing is the method to deliver computing services over the internet. These computing services consist of storage, servers, databases, software, analytics and more. Cloud Computing is an information technology which allows the access the shared computing sources with minimal management effort. With the help of Cloud Computing, we can utilize computing resources online over the internet without investing money in building and maintaining computing infrastructure.

    Source: HOB
    6894
  • Know The Past And Benefits Of Cloud Computing

    Cloud Computing is the method to deliver computing services over the internet. These computing services consist of storage, servers, databases, software, analytics and more. Cloud Computing is an information technology which allows the access the shared computing sources with minimal management effort. With the help of Cloud Computing, we can utilize computing resources online over the internet without investing money in building and maintaining computing infrastructure.

    Source: HOB
    5076
  • Importance Of Artificial Intelligence From Career Point Of View

    Artificial Intelligence, or simply termed as AI, as the name suggests, is the intelligence exhibited by the machines. By acquiring intelligence, although artificial, the machines will become capable of working and reacting like humans. Today, the artificial intelligence that exists is termed as narrow or weak AI.

    Source: HOB
    28614
  • Machine Learning Usually Face These Hurdles In Big Data Analytics!

    Machine Learning is the subset of Artificial Intelligence and all are the part of computer science. It is a data analysis tool that helps us in automating the tasks. Alternatively, it also provides the machines (computer systems) with the capability to learn from the data, without external help to make decisions with minimum human interference. With the evolution of new technologies, machine learning has changed a lot over the past few years.

    Source: HOB
    14496
  • Race and Ethnicity in Data Science - The Data Science Diversity Gap

    How diverse will a lucrative, growing field like data science be in the future?

    Source: HOB
    26586
  • How Machine Learning Works In Analytics To Limit Healthcare Fraud

    To most Americans, the phrase "Medicare Fraud" brings up images of individuals who cheat the system to collect healthcare when they don't need it.

    Source: HOB
    22605
  • Top 10 Predictions For AI, Big Data, And Analytics in 2018-19

    A new Forrester Research report, Predictions 2018: The Honeymoon For AI Is Over, predicts that in 2018 enterprises will finally move beyond the hype to recognize that AI requires hard work-planning, deploying, and governing it correctly.

    Source: HOB
    25206
  • How To Mobilize Your C-suite For Big-Data Analytics, ALL CXO Should Know

    Leadership-capacity constraints are undermining many companies' efforts. New management structures, roles, and divisions of labor can all be part of the solution.

    Source: HOB
    7761
  • Data Science The Trending Career In The World And Know The Path To Become A Successful Data Scientist

    Data science is basically the application of a combination of mathematical, statistical, analytical and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is.

    Source: HOB
    39690
  • You Must Know The Facts Related To Data Mining

    Data mining is the process of examining a data set to extract certain patterns. Companies use this process to determine the outcome of their existing goals. They summarize this information into useful methods to create revenue and/or cut costs. When search engines are accessed, they begin to build lists of links from the first page it accesses. It continues this process throughout the site until it reaches the root page.

    Source: HOB
    21456
  • How you can unbolt success and revolutionize your business strategy through data analytics?

    Nowadays every business has big data, and analyzing it has become a significant tool for every business. It changes the way of marketing strategies like how the product is being marketed across various industries. Either it is a startup or a grown up business, every company is considered to be a business of data. In earning the success you need to have data driven strategies which are really needed. if you seem to have fallen in the statistics do not back out, try and collect data to a huge extent.

    Source: HOB
    5844
  • Know The Reason Why Data Analytics Is Heavy Over Data Engineering?

    While several firms have commenced data analytics initiatives, solely some are victorious. Studies have shown that 70% of data analytics programs fail to understand their full potential and over 80% of the digital transformation initiatives fail. Whereas there are several reasons that have an effect on victorious readying of data analytics, one elementary reason is lack of fine quality data. However, several business enterprises understand this and invest considerable time and energy in data cleansing and remediation, technically referred to as data engineering.

    Source: HOB
    7032
  • Importance Of Data Science In Web Development

    Technology could be a extremely dynamic field wherever new advancements keep coming back each day. the info is that the next massive factor concerning this contemporary digital age. Entrepreneurs are speedily adopting data-driven methods to power their net presence.

    Source: HOB
    7590
  • Career innovation tool: Machine Learning

    So how can machine learning help you in building a successful career? Is it possible to have a stable career in machine learning? Few questions trick your mind while choosing your career. But machine learning helps you to overcome as it is an effective tool which has an automatic artificial presence rather than the human mind. Machine learning helps computers to work on their own without any human interaction in this tool. Machine learning also includes multiple learning such as supervised and unsupervised learning and also vast applications. Continuous learning helps you to take multiple and effective decisions at the right time. Machine learning has smart algorithms which are used for the marketing campaigns in many smartphone apps as well as in social media applications.

    Source: HOB
    6138
  • Stepping Into Data Literacy At An Early Phase Will Benefit You In Future

    Is data literacy necessary in youngsters, the solution is affirmative as a result of data is currently a component of daily life. It's nearly become a responsibility of the typical subject to possess some level of data literacy and understanding. Apparently, this analysis paper argues that young learners have the power to figure with complex data sets if they're supported within the right method and if the tasks are grounded in real-life context.

    Source: HOB
    9684
  • Can Companies Use Data Science Tools Without Hiring A Data Scientist? 5 Ways

    Companies that fail to apply data science will be at a competitive disadvantage, according to Deloitte. Here's how to take advantage of new tools, staffing models, and training strategies.

    Source: HOB
    23046
  • Data Mining And Predictive Analysis Both Make Use Of Algorithms To Gain Insights

    Now have you ever come across the term data mining? As the name implies, it is an analytic process used to explore a large amount of data in regards to consistent patterns and systematic relationships between variables. Businesses prefer data mining because it aims to predict. Predictive analyses, on the other hand, refine data resources, in particular, to extract hidden value from those newly discovered patterns. �¢??Data mining + Domain knowledge =>Predictive Analytics =>Business Value�¢??

    Source: HOB
    10545
  • Why We Need Edge Computing?

    The common thread all told these examples is edge computing. Outlined by analysis firm Gartner as merchandise that facilitates processing at or close to the supply of information generation, Ed Fowler, vice chairman and head of digital engineering services in Europe, the center East and continent at Virtusa, says businesses ought to care regarding the idea. Why? The speed of results from edge-compute applications is immensely above ancient architectures and this may lead to revenue-making opportunities, price efficiencies, and higher services.

    Source: HOB
    14382
  • Analyzing Data With Good Actionable Business Intelligence

    Another challenge develops when businesses gather data and organize it without considering the questions they will be used when processing the data. Each step in the data collection process should lead toward gathering useful data and analyzing it with the goal of developing actionable Business Intelligence.

    Source: HOB
    12141
  • How media and entertainment will be changed through advanced analytics?

    Competitive markets have increased and faced by the media and entertainment companies. There are several ways which can easily bring upon the content of the consumer, operate the need where the operation is done in a better way and more efficiently than ever. Delivering that content means generating more and more revenue they need. Sectors like media and entertainment always deal in data, as it is already known. So is there something new in it?

    Source: HOB
    6231
  • What Are The Opinions Of Leaders About Cybersecurity?

    I believe leaders have a fiduciary duty to protect sensitive company information. To that extent, risks of data breaches must be managed and mitigated, as they can seldom be completely eliminated. Keeping information available, confidential and integral is the everlasting guiding principle to good cybersecurity. The core principles remain the same, but the threat landscape is constantly changing and deserves continual monitoring.

    Source: HOB
    8049
  • Data Continue To Drive Business Transformations in 2019

    Data will continue to drive business transformations in 2019. Here are three trends that could change the business landscape over the coming year and tips to help you prepare for them. As we prepare for 2019, it's a good time to look back and reflect on the effect that data has had on global business during this past year and what might be in store in the year ahead.

    Source: HOB
    12780
  • For the marketers of modern days: You have some digital marketing courses

    The digital marketers of the modern day are expected to be competent in a host of skills, which includes sales, digital media, and many more. You need to keep yourself relevant and to close the skills you need a more effective way which is faster if you are investing and committing your life to get a degree in these skills. Having experience can take you more ahead as specialized course training is a must. You need to have good digital marketing skills if a marketer wants to stay competitive. There are several leading digital marketing courses which will motivate and helps you in building a successful career in this field.

    Source: HOB
    7260
  • Predictions for 2019 in Data Science, Analytics, and AI

    This year's round-up of predictions from industry figures yields wisdom in Data Science, AI, data regulation, data governance, the state of the Hadoop market, open source and "the edge."

    Source: HOB
    18096
  • How Artificial Intelligence Is Disrupting Businesses Worldwide?

    Artificial intelligence is a driving business force in this fast-changing 21st century. AI is no longer an implausible futuristic vision, but a stark reality that is disrupting businesses worldwide. In the 21st century, companies are forced to rethink traditional market approaches and become more service-centric in order to remain relevant.

    Source: HOB
    23316
  • Evolution Of Data Science In Cybersecurity And Big Data Analytics!

    Data Science & Cybersecurity, what is big data analytics? Why is machine learning applications so important? Why did InfoSec Professionals require to learn about DS? What to know about "data bots" as a data science professional? Differences in data science vs machine learning? How to crack cybersecurity jobs with data science advantage?

    Source: HOB
    13203
  • Reasons why Indian Professionals Learn Data Analytics and AI Engineering?

    New digital technologies could bring over $150 billion (Rs10.7 lakh crore) to India's GDP by 2021. So, many Indian professionals are choosing to learn new skills in order to cash in on this economic transformation.

    Source: HOB
    7452
  • You are thinking of mastering in machine learning with data preparation? Go through it

    These days organizations look for the ways where they can prepare the data very quickly and appropriately for solving the challenges of data and enabling machine learning. The data should be cleaned and accurate it should be checked before the data is brought to the model of machine learning or any other project of analytics.

    Source: HOB
    48558
  • Understanding The Term Data Mining Through Youtube Video!

    Data mining is the method of sorting through massive information sets to spot patterns and establish relationships to unravel issues through information analysis.

    Source: HOB
    14931
  • Software Analytics Market 2018 Segmentation, Technology, Consumption, Trend, Opportunity and Forecast to 2023

    Global Software Analytics sales and market share comparison and analysis with an overview of current market status, competition, recent developments, future forecast and major manufacturerâ??s analysis

    Source: ReportsandReports
    4311
  • How Businesses Are Taking Advantage Of Big Data Trends?

    The amount of data generated these days from all business domains conjointly called massive data is large, encompassing data gathering, data analysis, and data implementation method.

    Source: HOB
    8280
  • Online courses on multiple sites for big data analysis

    Skills of data analytics have become the leading factor in terms of the advanced development and for the career perspective, the demand of the data analyst is increasing day by day. There are several online courses which you would prefer if you want to build your career as a data analyst as it will help you to learn the fundamentals of data science, the key tools of data science and the study of programming languages in the analysis of big data.

    Source: HOB
    13452
  • Guide for becoming a data engineer

    The rates of unemployment are at a lower phase and the economy is booming. There are many companies who are facing the shortage of data engineers and wanted some professionals with high skills. It is really difficult to get skills for both data scientist and data engineer in the same file while taking the step towards it is the personal choice which profiles you want your career to be in.

    Source: HOB
    11217
  • Educations forthcoming: The artificial intelligence Nanodegree program

    Across many industries, there are many large enterprises and businesses having the high performance which are tidily turning towards artificial intelligence and new analytics to make the decisions faster, productively and data-driven.

    Source: HOB
    6876
  • Differentiating Between Continous Intelligence And Business Intelligence

    Continuous intelligence from all your data is not another phrase to describe real-time, speed or throughput. It's about frictionless cycle time to derive continuous business value from all data. It's a modern machine-driven approach to analytics that allows you to quickly get to all of your data and accelerate the analysis you need, no matter how off the beaten track it is, no matter how many data sources there are or how vast the volumes. It's about not doing this once but letting the machine automate it so it's continuous and frictionless.

    Source: HOB
    15210
  • The secret of 2019: How marketing will be enhanced?

    Four forces are deep at work altering the landscape for marketing in 2019 and beyond. The forces and the opportunities they represent are hidden in plain sight. Take privacy for example. Many still view privacy policies as a check-the-box legal exercise, yet consumer attitudes toward privacy and data collection have fundamentally changed.

    Source: HOB
    6762
  • Video Analytics Market 2018: Focus on Industry Growth, Trends, Development and Segmentation 2023

    Global Video Analytics sales and market share comparison and analysis with an overview of current market status, competition, recent developments, future forecast and Growth analysis

    Source: ReportsandReports
    5625
  • Revamping The Experience Of Big Data Analytics!

    According to a replacement, eBook OmniSci titled The OmniSci Extreme Analytics Platform: Revamping the expertise of huge data Analytics, all of them use the acute Analytics platform to form a sense of the huge amounts of vital, time period data they're perpetually accumulating.

    Source: HOB
    9573
  • Which Programming Language Should We Use On A Regular Basis?

    Data Analytics tools, latest technologies, and programming languages are required by data science which helps the data scientists to gain meaningful insights and value from the data. A recent survey of nearly 24,000 data professionals by Kaggle revealed that Python, SQL, and R are the most popular programming languages. The most popular programming language was Python 83% used. 3 out of 4 data professionals recommended Data Scientist should learn Python programming language.

    Source: HOB
    118899
  • Most Used Programming Languages and Recommended by Data Scientists Expert

    The practice of data science requires the use of analytics tools, technologies, and programming languages to help data professionals extract insights and value from data.

    Source: HOB
    28545
  • What Are The Reasons Behind Opting Big Data Certification Courses?

    Modernization and efficiency are essential in the face of the prevailing climate of fierce competition in today's world of business. A huge part of this is being driven by Data Analytics. Due to the market's appetite for high-level skills when it comes to going through a huge pile of data, and analyzing the bigger picture, collecting, managing and providing precise results, this field has become extremely critical.

    Source: HOB
    15024
  • What Are The Questions for Data Scientists And For What Courses They Have To Enroll?

    Data scientists are increasingly important to organizations as decisions become more data-driven. You need to be able to tell the real and talented data scientists from a charlatan who talks the talk. Here are five questions every data scientist should be able to answer.

    Source: HOB
    6939
  • Enlarge your small business through data analysis

    They want to make most of every dollar they spend. Data analysis that helps those small business owners target their customers is an essential element of success, and the quality of that analysis could mean the difference between a profit and a loss.

    Source: HOB
    5790
  • Enlarge your small business through data analysis

    They want to make most of every dollar they spend. Data analysis that helps those small business owners target their customers is an essential element of success and the quality of that analysis could mean the difference between a profit and a loss.

    Source: HOB
    7122
  • High Performance Data Analytics Market 2018 Growth Analysis, Market Outlet, Technology and Competitive Research- 2023

    The High Performance Data Analytics Market report highlights the current market size and future potential of the market at the global and regional level with the help of industry trends and market performance.

    Source: ReportsandReports
    5619
  • A Tool To Build Future For Non Experienced Candidates: Machine Learning

    So here you can see that machine learning is quite an approaching word in the world. It is the Artificial intelligence tool Machine Learning is the buzzword created and is the next future of the world.

    Source: HOB
    115002
  • Hadoop: The Savior For Large Data Analytics

    The large heap of data generated every day is giving rise to the massive information and correct analysis of this data is obtaining the need for each organization. Hadoop is a savior for large Data Analytics and assists the organizations to manage the data effectively.

    Source: HOB
    21597
  • Health Care Analytics Market 2019 Growth Analysis, Market Outlet, Technology and Competitive Research- 2024

    Global Health Care Analytics sales and market share comparison and analysis with an overview of current market status, competition, recent developments, future forecast and Growth analysis

    Source: RNR
    6147
  • The Most Demanding Soft And Hard Skills According To Big Organisations

    Are you looking for a fresh start in 2019? Maybe you'd like to get fit? Learn a new skill? Or change career? According to analysis from networking site LinkedIn, 2019's employers are looking for a combination of both hard and soft skills, with creativity topping the list of desired attributes. The findings chime with the World Economic Forum's Future of Jobs report, which concluded that "human" skills like originality, initiative, and critical thinking are likely to increase in value as technology and automation advances.

    Source: HOB
    8598
  • For multiple sectors what is the value of real-time data analysis

    These days, there are ample of businesses which are started just to know the true potential of gathering and examining the data which is of huge quantity in real time. The cases which are already being discovered the enterprises are becoming proactive with them by leveraging the data of real-time to analyzing the situations of the real-time, predicting the events of future, the process of business is improved by taking the spontaneous actions, regulation is being adhered and the experience of the customer is enhanced.

    Source: HOB
    5943
  • What Are The Major Hurdles Of Machine Learning With Big Data Analytics?

    Machine Learning is a branch of computer science, a field of Artificial Intelligence. It is a data analysis method that further helps in automating the analytical model building. Alternatively, as the word indicates, it provides the machines (computer systems) with the capability to learn from the data, without external help to make decisions with minimum human interference. With the evolution of new technologies, machine learning has changed a lot over the past few years.

    Source: HOB
    8874
  • Best online Data Science Courses To Learn & Get Job

    According to the report of U.S Bureau of Labor Statistics, the rise of Data Science needs will create 11.5M job openings by 2026.

    Source: HOB
    47649
  • Adding Value To Your Software Engineering Skills

    How you will improve yourself as a Software Engineer? If You are at very first step or starting your career as a software engineer the first step is to get learn your language, frameworks, tools, and technology. But what in the other case if you're an experienced Software Developer, then you should find new opportunities to improve your code for readability, performance, and maintainability and then practice making well-reasoned decisions about where to focus time and resources in your code whether it's testing, performance optimization, or other technical debt.

    Source: HOB
    43047
  • An Enhanced Version: When DevOps Join Hands With Machine Learning

    Successful DevOps practices generate a huge amount of data, so it is unsurprising that data can be used for such things as streamlining workflows and monitoring in production, and diagnosis the bugs.

    Source: HOB
    9093
  • Awesome online Data Science Courses To Learn Data Science & Get Job

    The need for Data Scientists and Data Analytics in India too is increasing enormously with a number of openings left vacant in the past due to lack of the skilled candidates, according to a report.

    Source: HOB
    170397
  • Global Drone Analytics Market 2018 Rising Industrialization |Lockheed Martin Corporation, Aerovironment Inc., Elbit Systems, Ltd., Parrot SA

    The global drone analytics market is anticipated to hit USD 9.47 Billion by 2025 with a CAGR of 30.12% during the forecast period from 2018-2025. In 2017, the rate was USD 1.15 Billion.

    Source: https://researchstore.biz/report/global-drone-analytics-market/71560/
    4233
  • Worldwide Sports Analytics Market Research Report, Market Drivers, Market Segmentation, Market Players, Market Revenue- Ken Research

    Over the recent past decades, the numerous sporting events and sports club have seen an effective growth in the amount of revenue created.

    Source: Ken Research
    3372
  • Global Drone Analytics Market 2019: Airware (US), DroneDeploy (US), Delta Drone (France), PrecisionHawk (US), Pix4D (Switzerland)

    The report implements the SWOT and Investment analysis which helps to predict looming opportunities in Drone Analytics industry. It also assesses new project feasibility to illuminate potent possibilities for novices expected to perform in Drone Analytics market.

    Source: MARKET RESEARCH EXPLORE
    3189
  • Global Electronic Toll Collection Market 2019- Company Overview, Developing Trade With SWOT & Forecast Outline 2024

    The report includes production data, consumption data and revenue data across worldwide. The Market share and growth rate is also mentioned.

    Source: Market Research Explore
    2826
  • Global Education Technology (Ed Tech) and Smart Classrooms Market 2019 Product Definition, Regional Outlook, Forecast and CAGR 2024

    MRE provides real insight for effective decisions to help business with the help of current industry trends and accurate data available in the market.

    Source: MRE
    4257
  • Global Financial Analytics Market Wavelength By Compartment (2019-2024) | Future Expansion, Breakdown And Improvement.

    Market Research Explore is a huge market research platform which provides market intelligence reports and consulting services.

    Source: MRE
    2421
  • Global Multichannel Analytics Market 2019: Provides Analysis by Growth Projections and Segmentation 2023

    Global Multichannel Analytics Market offers all-embracing knowledge on Latest Industry Trends, Market Status, Geographic Analysis and Financial Outlet.

    Source: Market Research Explore
    2484
  • Top IoT Startups In 2K19 As Per Customer Experience

    The most successful IoT startups in Artificial Intelligence (AI), and real-time monitoring to deliver exceptional customer experiences. Following are the five start-ups for IoT based on their ability to attract the customers and as well as each of these startups is taking a unique approach to solving challenging problems of an enterprise.

    Source: IoT
    10170
  • The Difference Between The Big 3 Terminologies: Data Science, Big Data And Data Analytics

    Data is gold and data is all around and the amount of data is increasing rapidly. According to IBM, 2.5 billion gigabytes of data was generated every day.

    Source: HOB
    17130
  • Rules Must Keep In Mind For Data Mining

    Positive returns on analytics investment require management action. But many managers are reluctant to take action based on analytics, especially when the numbers don't seem to match with their own gut understanding.

    Source: HOB
    10056
  • Career In Data Analytics Is Rewarding, So Get Start With It As Earliest

    A career in data analytics is not only concerned with learning Python or Hadoop, but it also takes into consideration various skills

    Source: HOB
    20127
  • What Are The Tech & Non-Tech Skills Required To Become A Data Scientist Expert In 2019?

    A data scientist is the #1 profession in America for 2019, according to Glassdoor. And that is not surprising, given the median base salary paid in the field is $123,000. Still, the data science job market is far from saturated, with an estimated shortage of 190,000 specialists in the US only.

    Source: HOB
    17115
  • Find Here: The Common Thread That Holds Top Technologies

    Now recently Gartner launched its top technology trends for 2K19. The common thread that holds every technology and trends are Artificial Intelligence, Augmented Analytics, Blockchain and many more and all these have the ability to turn data into a business asset. That future growth lies in the ability to turn data into something useful isn't a surprising revelation. But not every organization is equipped to make the most of its valuable information.

    Source: HOB
    7437
  • Know The New Cloud Called Edge In 2K19

    The edge computing was a hot topic as companies began to understand that the edge computing is the new cloud. The transition and adoption will be a big part of IT strategies in 2019 due to a few key trends that will drive that adoption at a rapid rate.

    Source: HOB
    9036
  • RPA With Machine Learning Results Intelligent Process Automation

    The fundamentals of robotic process automation combined with machine learning capabilities to robotize the mundane tasks, plus learning to do a job even better, is what intelligent process automation all about.

    Source: HOB
    22209
  • Know The Basic Mathematics for These Technologies: Machine Learning And Artificial Intelligence

    I started writing about my experiences taking courses on machine learning and artificial intelligence. One of the big, unexpected problems I ran into was calculus and linear algebra.

    Source: HOB
    14550
  • How To Make Data Science Career Transition In 5 Steps & Analytics Resume?

    You can't control luck. But the other two, you can. And here is how can (a) find and apply for the right job data science and (b) write the right resume.

    Source: HOB
    8706
  • An Interesting & Faster Method To Drastically Improve Data Science And Machine Learning Efficiency

    For every business, data science is the foundation of enabling a successful transformation into an AI-powered enterprise. Data analytics and machine learning drive smarter business decisions, greater operational efficiency, and higher levels of customer satisfaction.

    Source: HOB
    8748
  • Easing Into Your Data Science Career Path - 10 Minute Video Can Change Your Data Science Life

    From entering an analytics career to becoming a trainer and mentor in analytics where I am able to inspire people to achieve their dream analytics job and inspire companies to capitalize on their data and insights -- my professional journey is of interest to many of my clients. They wonder how it all happened; what steps and obstacles I met along the way.

    Source: HOB
    85809
  • Data Science Is The Pillar For An AI-Powered Enterprise

    For every business, data science is the foundation of enabling a successful transformation into an AI-powered enterprise.

    Source: HOB
    8367
  • Data Science Is The Role That Is Giving Many More Opportunities In Professional World

    Data science is giving too many opportunities today in the professional world. As the number of business concerns using data analytics is on the rise, so is the number of jobs in this field.

    Source: HOB
    10008
  • Top 10 Data & Analytics Technology Trends For 2019 According To Gartner Report

    Augmented Analytics and Artificial Intelligence in the spotlight at Gartner Data & Analytics Summit.

    Source: HOB
    20433
  • Why Data Science And Data Analytics Are The Major Need For All The Industries?

    Data science has revolutionized the technological world. We all are aware of the term data science that there is definitely something in data science that sets it apart and make being a data scientist one of the best jobs of the twenty-first century.

    Source: HOB
    14619
  • Google's DeepMind AI Research Creates Deep Learning CDS For All Eye Diseases

    Google's DeepMind artificial intelligence research company is developing a clinical decision support (CDS) tool for identifying eye diseases.

    Source: HOB
    13338
  • Go With Big Data Courses In The Data Driven World

    We are living in an economy which is completely data-driven. Big data courses play a vital role in your career as they can allow you to be a much more effective contributor to the company's bottom line.

    Source: HOB
    10989
  • Collection of Best Books On Data Science From Its Library

    As time flies, now big tycoons are more focused on data. That's the reason many of the people building businesses today are putting analytics and data science at the center of their strategy and operations.

    Source: HOB
    17553
  • Must Look at the Race Between Artificial Intelligence, Data, and Business Intelligence

    Everyone knows that the world has changed a lot in recent years. Now, with less than 10 months until 2020, the Cloud is the reality, AI is everywhere, and Voice will undoubtedly be the next interface for analytics.

    Source: HOB
    6621
  • Why Big Data Is Required For Content Management

    Data science teams need content managers. Here are 3 ways you can incorporate content management into your data science and analytics.

    Source: HOB
    14760
  • Data Scientist The Best Profession In the 21st Century As Declared by Reputed Organisations

    One of the fastest growing careers among them is Data Science, which has become extremely popular among youth because of its exciting nature of work and new newness. Professionals who do this job are known as Data Scientists.

    Source: HOB
    13032
  • Data Visualization Overcomes The Business Obstacles

    There are many things which are way too difficult to grab, but sometimes getting way to this uncomplicated language of data visualization sorts everything to a concept which you can get.

    Source: HOB
    6912
  • How Youths Future Is Getting Reshaped Through Big Data Analytics

    There are several trends in the field where there is a need to be familiar with big data. Big data is the data which consists of volumes greater than 1 petabyte, or 1 million gigabytes.

    Source: HOB
    6012
  • Top 5 Reason To Switch From Tableau Data Analysis To Google DataStudio

    When I started working at my latest company all the reporting was done with a combination of Google Sheets and Tableau, with Tableau being the principle reporting mechanism.

    Source: HOB
    10080
  • Bang! Bang! Big Data World

    Big data is now becoming popular for the 21st century as it is consumed and utilized by the businesses in large quantity.

    Source: HOB
    7251
  • Workforce Analytics Market Share, Industry Growth, Trends, Growth & Key Players Study till 2025: Kronos, Infor, Verint, NICE Systems, Aspect, Workforce Software.

    To analyze global Workforce Analytics status, future forecast, growth opportunity, key market and key players.

    Source: Market Research
    2982
  • Great Career in Data Science and Data analytics

    Data science and Data analytics are used to identify patterns and draw inferences from raw data.

    Source: HOB
    9816
  • Are You Looking For Software Developer Job In India? These Fields have Near 100,000 Opening

    Software Developer & Data analysts have been hot properties in Indiaâ??s job market for years. Currently, there are about 97,000 analytics jobs waiting to be filled in India, according to a recent study by ed-tech company Great Learning. This is a jump of almost 45%, compared with a year ago.

    Source: HOB
    8349
  • How I got Successful Data Science Job After Laid Off?

    The point of this article is to show you what a successful Data Science job hunt looks like, from beginning to end. Strap-in, friends. I'm about to bring you from day 1 of being laid-off to the day that I accepted an offer. Seriously, it was an intense two months.

    Source: HOB
    12285
  • Books: Make Your Skills More Dynamic For Big Data

    As you can see these days there are millions of data generated and big data has become the most demanding tech in the world.

    Source: HOB
    5976
  • Challenges Faced in Data Science Careers

    It is noteworthy to know the major challenges that a Data scientist face.

    Source: HOB
    6903
  • Top Data Science Companies in India

    Here are some of the top Data Science companies in India that you must have an eye on regarding their recruitment and selection.

    Source: HOB
    13062
  • Why your organization needs Business Intelligence technology?

    A Business Intelligence technology is used by the organizations to analyze business information which includes past and present data and drawing insights from that data.

    Source: HOB
    28404
  • What news reflect can't be reflected by social media?

    Social media is just the opposite what it tried to present, as said, leaving everything behind social media didn't come to a period of beating the news behind in any way.

    Source: HOB
    5820
  • How To Use Augmented Data Science & Why Is It Important For Business?

    Augmented Data Science is integrated into the average enterprise, the domain of data science proliferates as does the knowledge and understanding of analytical techniques

    Source: HOB
    12996
  • How to differentiate a Website and a Web-Enabled Application?

    So here is the difference between a website and a web-enabled application.

    Source: HOB
    16074
  • Around 70% Job Opening in Analytics And Data Science: Here Are The Top Recruiters

    More than 97,000 analytics & data science positions remain vacant in India due to the shortage of talent. Here's how to be relevant in the job market.

    Source: HOB
    9675
  • Data Scientist Intro, Jobs and Organizations

    A highly professional and skilled having the ability for collecting a large amount of data for analyzing and synthesizing the information into the actionable plans for many companies and organizations.

    Source: HOB
    6561
  • A Tool To Build Future For Non Experienced Candidates: Machine Learning

    So here you can see that machine learning is quite an approaching word in the world.

    Source: HOB
    5826
  • Basic Guide for understanding Predictive Analytics

    The way of predicting the future event in businesses by analyzing the past and current data patterns is called Predictive Analytics.

    Source: HOB
    8304
  • Best online Data Science Courses

    Relevant skills, qualifications, and courses will prove good to you in developing a career in Data Science.

    Source: HOB
    8601
  • The Best Way to Become a Data Scientist and Master In Machine Learning End of 2019

    Learning paths are immensely popular among our data science & machine learning readers and with good reason! Learning paths take away the pain and confusion from the learning process.

    Source: HOB
    23307
  • Big Data Analytics Have Top Job Demand For Youths

    Big Data is a popular term you must familiar with it. Big Data is exactly what the name implies as data which consists of volumes greater than 1 petabyte, or 1 million gigabytes. This data is stored in servers and gives different results by using different analysis techniques based on the needs of the users.

    Source: HOB
    19305
  • Master A Program Through Some Preferred Skills In Data Analyst

    In today's era, so many businesses today relying heavily on data about their customers, products, processes, inputs and the market, these organizations are increasingly in need of talented, skilled people who can extract information and insights from the data.

    Source: HOB
    12252
  • In Data Science High Salary And Job Prospects Are Major Big Draws

    There is a tremendous amount of data which is generated by every business on a daily basis. The rise of the internet and the introduction of social media platforms have led to an additional spike in the amount of data generated.

    Source: HOB
    15687
  • How Artificial Intelligence is going to affect your Workplace in the Future?

    Companies are investing huge amounts to adapt Artificial Intelligence into their businesses to help them increase their operational efficiency.

    Source: HOB
    5169
  • Why Big Data Analytics is a Buzzword and demands its Understanding today?

    Big Data as defined by Gartner is high volume, high velocity and/or high variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation.

    Source: HOB
    8982
  • Stay Tuned With Data Science Updates On Top LinkedIn Groups

    LinkedIn is a very good place for the professionals to gather, connect with others, share ideas and network. If you are in a Data Science or predictive analytics space, or if you are seeking for additional insights and what all industries are talking about, for all these LinkedIn professional groups are a great place to start.

    Source: HOB
    10812
  • How Data Science Become Beginner To Expert Data Scientist - A Step By Step Guide To Follow

    A data scientist uses statistical methods, such as mix modeling, predictive response modeling, sales response modeling, experimental design, CART/CHAID, latent class segmentation, cross-sectional and time series analysis, discrete choice modeling, data mining and optimization techniques to cater client business requirements.

    Source: HOB
    22281
  • Know The Misunderstanding Of Big Data!

    It can't be denied that Big Data is a hot topic in present times. But there are businesses still struggling to shift from concept to execution.

    Source: HOB
    8691
  • Three Types of Analytics To Get You Started with Big Data Analytics

    Understanding the types of analytics will what give a beginner a deep understanding of the workings involved with Big Data.

    Source: HOB
    27405
  • Mapping Use Cases of Data Science Across Different Industries

    Data science is one of the most current and diverse fields of technology today. It is all about collecting data which are unstructured and raw in the form and then finding insights from it; can help any venture become more profitable.

    Source: HOB
    18297
  • Master in Cloud Computing with some well-known Books

    If you need a data center but don't want to deal with a physical one, Google Cloud Platform is the solution.

    Source: HOB
    10308
  • Which are some of the most Frequently Asked questions in Data Science?

    This article will dive through some of the most Frequently Asked questions in Data Science Interviews with the help of a popular video of YouTube so that your preparation for the next Data Science interview becomes easier.

    Source: HOB
    8913
  • Why Augmented Analytics is the Future of Data and Analytics?

    The report by Gartner states Augmented Analytics as an approach that automates insights using machine learning and natural language generation.

    Source: HOB
    16005
  • Some Simple Strategies To Secure your IoT Device

    So Internet Of Things continues to grow more and more and it is expected that more than 14 billion devices which are connected will be in use by the year-end and by 2021 it will reach to 25 billion.

    Source: HOB
    6114
  • Beginners Should Read These Machine Learning Books

    Some common books every beginner should buy and increase their learning abilities.

    Source: HOB
    6066
  • What Exactly a Career in Data Science Is?

    Data Science is about using data for creating as much impact as possible for your company.

    Source: HOB
    15903
  • Reasons Why Your Business needs Predictive Analytics to Achieve Tremendous Growth

    Using Predictive Analytics your business could reach to those important points which are important in attaining the maximum revenue out of a limited number of inputs.

    Source: HOB
    4239
  • Data Scientist should be aware of the difference between the subheads of Data Science and Machine Learning

    See the major difference between the sub-categories of data science, machine learning, and big data.

    Source: HOB
    6309
  • Here are some top Predictions on Data and Analytics for 2019

    These are some of the top predictions by Gartner on Data and Analytics for 2019 which were published on its recent report.

    Source: HOB
    5973
  • Online courses are offered in Blockchain, AI, ML by some leading Tech Companies

    How do you study for a field that's changing all the time? Software engineering graduates from three years ago have to start from scratch when it comes to aspects of artificial intelligence, blockchain, machine learning, and robotics.

    Source: HOB
    9720
  • Google is making Upgradation in Mobile Apps through Machine Learning by amplifying the ML Kit

    There are several updates by Google on firebase, its mobile development platform. Notably, Google is launching new capabilities for ML Kit.

    Source: HOB
    7131
  • Data science books to buy for a minimum price on Amazon for every beginner, professional and For Business

    Data Science books which will benefit beginners, professionals and business people also. You can easily avail these books on Amazon at a Discounted price.

    Source: HOB
    7272
  • How machine learning will boost multiple industries in the Future?

    Through Machine Learning, computers are capable of learning without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across.

    Source: HOB
    6468
  • Top 12 Data Science Podcasts You Must listen to in 2019

    Either you are traveling to work or are not engaged in any mental activity or have any constraint in your eyes to read a book or watch an informative video you can easily refer to a podcast to get yourself updated in your specialization.

    Source: HOB
    8403
  • Momentum Skill approach to all the Job Viewers of the Technical Sector

    Many technical skills require training and experience to master. They are also typically a type of hard skill. Hard skills are those that can be taught in a classroom and can be defined, evaluated, and measured.

    Source: HOB
    6669
  • A mentor for learning some famous Programming Languages like Java, C++, PHP, Java

    Here are some books for learning some famous programming languages like Java, C++, C and many more.

    Source: HOB
    25365
  • 5 ways of how Predictive Analytics can enhance Business Growth

    With the help of Predictive Analytics businesses now predict what ups and down they are going to face in the nearer future. These predictions help a business in taking controlled decisions and thus improves the major business decisions.

    Source: HOB
    6858
  • A Training Program for beginners which covers the major difference between AI, ML and Deep Learning

    This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python talks about the differences and relationship between AI, Machine Learning and Deep Learning.

    Source: HOB
    9672
  • Sisense becomes a partner with Periscope Data and turns out as data-driven Companies

    Sisense has acquired Periscope Data for creating a complete data science and analytics platform for customers.

    Source: HOB
    8787
  • Start a Career in Machine Learning with these Books

    Here are some machine learning books which will give teach you an in-depth analysis of machine learning algorithms.

    Source: HOB
    12771
  • Demand for Data Scientist has increased in 2019. Why?

    If you think that data science is not a job which needs proper skills, here are some reasons where you will see the fact.

    Source: HOB
    6633
  • Legitimate Transactions will be bygone through Data Analysis used by RBI

    The Reserve bank of India will promote the use of data analysis to identify cases of fraud and help instant response and recovery actions, such as blocking irregular transactions before payment authorization.

    Source: HOB
    7572
  • Which Global Cities are entertaining Data Scientist with a Good Salary Pay?

    Here this article will take you with the view of some cities which will entertain you with the highest pay packages as a role of a data scientist.

    Source: HOB
    6903
  • What is Business intelligence? Why do we need Business intelligence? What are Some Business intelligence Tools

    Business intelligence includes the strategies or the technologies that any business uses to find relevant insights out of the business data. With the help of Business intelligence businesses takes those important decisions that are required by it to grow.

    Source: HOB
    20226
  • How can you easily identify the Big Data tactics through some useful Resources?

    Technologies such as Hadoop, MapReduce, Apache Spark have brought a revolution in the ways of analyzing big data. This is probably the best time to make your career in Big Data. I believe, nothing beat books when it comes to learning a concept to its core.

    Source: HOB
    5895
  • Cloud Computing Books Every Learner should Begin with

    Learning Cloud Computing is easy when taken the help from the best resources. Books are always the best resources to consider for that. The present article discusses the top level books that every aspirant in cloud computing should refer to.

    Source: HOB
    13095
  • Big Data Analytics is the Best Career to Move on. Know How?

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