Pega Intelligent Virtual Assistant comes pre-configured to extend to Facebook Messenger, Alexa, and Google Home
Source: Techseen
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Dashbot announced today that investors have thrown their support behind its mission to be the Google Analytics for bots.
Source: VB3405
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: VCC4029
The topic of artificial intelligence is dominating discussions of data management this year.
Source: IM7923
40% of a typical bots' users only engage in one conversation.
Source: Topbots5241
Innovations in the areas of artificial intelligence (AI), machine learning and deep learning are beginning to dominate the technology landscape.
Source: PRNewswire2361
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: TC6117
This chassis leasing company is deploying technology to proactively monitor its IT environment.
Source: ZDnet4200
Artificial intelligence offers feds the "tantalizing possibility" of increased speed, enhanced quality and lower costs, a Deloitte report says.
Source: FedTech6039
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: HBR4731
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: Digitalnewsasia5070
Microsoft's cloud-based virtual machine for big data analytics is now available in a version running on Windows Server 2016.
Source: Eweek3999
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: Insidebigdata13560
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 Team15918
The Indian IT industry would do well if it upgrades its capabilities and offerings in line with emerging technologies and market imperatives.
Source: Mint4353
There is more data out there than ever before, but organisations should be smart about how they use it.
Source: Gulfnews4680
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: jaxenter3897
What's the one thing that makes a great data leader?
Source: Data-informed2805
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 Informed9426
With SmartAI, Datameer is addressing the last mile in putting machine learning to work in business intelligence.
Source: ZDnet4104
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: NDTV5178
A lot of people reach out to me. They needs jobs. But they are asking about school.
Source: Forbes3882
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: Techtarget7683
Artificial intelligence-driven technology revolution is expected to impact all sectors. Some firms have already deployed AI solutions and are reaping the benefits
Source: Livemint10272
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: Theconversation3675
New Invoca capability promises language pattern recognition based on the entire call vs. keyword spotting.
Source: Martechtoday3603
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: Knowstartup29673
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: Forbes3258
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: CBR5532
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 Before4473
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-age4272
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 Week8865
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 Beat5865
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: FirstPost4209
The software can learn, evolve and associate information like the human brain.
Source: Proactiveinvestors5634
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 Tech7989
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: Mint3675
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: IM8448
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 Team5079
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: Forbes228684
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: Forbes4764
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 Team8352
Indian AI Startups Raised About $87.85 Mn In 2017
Source: Inc4218858
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 Republic4758
Verizon wants to give its enterprise customers more tools to automate threat detections on networks.
Source: Zdnet4461
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 India7083
The core of most modern Machine Learning (ML) systems is automated neural networks (ANNs). The training of ANN's require large data sets.
Source: Forbes3582
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: HOB5475
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: Dzone7866
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: HOB6864
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: HOB4068
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: HOB4050
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: Forbes6894
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: Computerweekly6408
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: HOB4284
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: HOB14817
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 Newswire5373
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: HOB16332
Strong math understanding, computing skills, critical thinking and presentations skills provide a strong foundation for a career in Data Science.
Source: Kdnugget3402
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: HOB4200
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: HOB14586
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: HOB5016
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: HOB16464
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: HOB7107
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: HOB6747
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: HOB9063
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: Kdnugget17022
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: EdTech5160
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: HOB4182
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: HOB4242
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: HOB4515
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: Kdnugget7908
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: HOB4014
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: HOB6414
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: HOB2571
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 Labs7938
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: HOB3141
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: HOB5355
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: HOB5844
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: HOB7365
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: HOB7596
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: HOB5823
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: HOB14904
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: HOB6705
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: HOB3543
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: HOB3417
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: HOB3417
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: HOB4728
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: HOB5805
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: HOB3735
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: HOB3141
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: HOB6219
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: HOB3066
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: HOB3990
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: HOB10095
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: HOB3396
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: HOB3498
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: HOB3384
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: HOB3741
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: HOB5469
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: HOB4053
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: HOB9093
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: HOB4563
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: HOB4371
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: HOB4548
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: HOB5349
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: HOB3273
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: HOB3750
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: HOB3120
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: HOB4638
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: HOB4701
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: HOB6915
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: HOB5424
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: HOB2010
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: HOB2865
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: HOB4881
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: HOB4908
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: HOB5376
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: HOB5034
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: HOB4842
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: HOB1632
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: HOB5742
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: HOB5631
Extensive list of 50+ APIs in Face and Image Recognition ,Text Analysis, NLP, Sentiment Analysis, Language Translation, Machine Learning and prediction.
Source: HOB12096
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: HOB9129
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: HOB2625
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: HOB2574
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: HOB7383
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: HOB2250
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: HOB6006
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: HOB3057
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: HOB4464
Cynthia Saunders-Cheatham is a senior careers director at Johnson at Cornell. She says more employers want MBAs with data analytics skills
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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.
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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.
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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?
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If ever there was a gold rush for data scientist jobs, India would be ground zero - or almost.
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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.
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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.
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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.
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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: Roosboard5898
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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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A guide to making the most out of your data.
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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.
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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.
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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.
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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
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Big Data
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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.
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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.
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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.
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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.
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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.
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Google Cloud announcements bring deep learning and big data analytics beyond data scientists, but enterprises will want more.
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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.
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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.
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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.
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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.
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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.
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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 Research861
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.
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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.
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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.
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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.
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Sometimes you open a big Dataset with Python's Pandas, try to get a few metrics, and the whole thing just freezes horribly.
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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!
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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).
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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What do data science, data analytics, and business intelligence mean at Grab and how are they being used? - Wong Mun
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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
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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.
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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.
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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.
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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.
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A collection of Big Data trends to familiarize yourself with, covering IoT Networks, Artificial Intelligence, Predictive Analytics, Dark Data and more.
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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.
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Understanding data is key to unlocking job opportunities - Harvard Gazette. New course hopes to give students an edge in the job market.
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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.
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There are several ways companies can alleviate the pain and accelerate the data science transition, particularly as it relates to the IT department.
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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.
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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.
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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.
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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.
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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?
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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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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 ?
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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.
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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).
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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.
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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.
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Survey of company leaders shows the vast majority are planning to hire data scientists as economic uncertainty continues.
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Artificial intelligence is really invaluable right across the spectrum of space problems.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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: HOB612
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.
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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.
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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?"
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Data analytics is the primary enabler to derive insights and reach out to meaningful truth, resulting in business growth and increased revenue.
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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:
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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.
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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.
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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.
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Deirdre Dempsey has decades of experience dealing with data analytics, data science stemming from a strong foundation in mathematics.
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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.
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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.
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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.
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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.
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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.
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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
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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.
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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.
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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.
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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: HOB9225
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.
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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.
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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: HOB546
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