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: VB1395
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: VCC2184
The topic of artificial intelligence is dominating discussions of data management this year.
Source: IM1767
40% of a typical bots' users only engage in one conversation.
Source: Topbots2343
Innovations in the areas of artificial intelligence (AI), machine learning and deep learning are beginning to dominate the technology landscape.
Source: PRNewswire1023
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: TC2892
This chassis leasing company is deploying technology to proactively monitor its IT environment.
Source: ZDnet2250
Artificial intelligence offers feds the "tantalizing possibility" of increased speed, enhanced quality and lower costs, a Deloitte report says.
Source: FedTech1977
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: HBR2100
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: Digitalnewsasia2013
Microsoft's cloud-based virtual machine for big data analytics is now available in a version running on Windows Server 2016.
Source: Eweek1989
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: Insidebigdata7278
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 Team8244
The Indian IT industry would do well if it upgrades its capabilities and offerings in line with emerging technologies and market imperatives.
Source: Mint2049
There is more data out there than ever before, but organisations should be smart about how they use it.
Source: Gulfnews2430
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: jaxenter1893
What's the one thing that makes a great data leader?
Source: Data-informed1176
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 Informed4272
With SmartAI, Datameer is addressing the last mile in putting machine learning to work in business intelligence.
Source: ZDnet2091
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: NDTV2046
A lot of people reach out to me. They needs jobs. But they are asking about school.
Source: Forbes1758
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: Techtarget4071
Artificial intelligence-driven technology revolution is expected to impact all sectors. Some firms have already deployed AI solutions and are reaping the benefits
Source: Livemint5307
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: Theconversation1644
New Invoca capability promises language pattern recognition based on the entire call vs. keyword spotting.
Source: Martechtoday1704
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: Knowstartup22299
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: Forbes1431
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: CBR2580
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 Before1794
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-age1848
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 Week3759
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 Beat3156
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: FirstPost1500
The software can learn, evolve and associate information like the human brain.
Source: Proactiveinvestors2319
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 Tech4788
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: Mint1386
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: IM5667
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 Team1527
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: Forbes151020
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: Forbes1992
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 Team4128
Indian AI Startups Raised About $87.85 Mn In 2017
Source: Inc4212576
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 Republic2013
Verizon wants to give its enterprise customers more tools to automate threat detections on networks.
Source: Zdnet1761
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 India3858
The core of most modern Machine Learning (ML) systems is automated neural networks (ANNs). The training of ANN's require large data sets.
Source: Forbes1110
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: HOB2094
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: Dzone2565
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: HOB1959
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: HOB1404
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: HOB1473
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: Forbes2574
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: Computerweekly1953
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: HOB1368
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: HOB10329
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 Newswire1803
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: HOB9282
Strong math understanding, computing skills, critical thinking and presentations skills provide a strong foundation for a career in Data Science.
Source: Kdnugget750
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: HOB1128
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: HOB8547
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: HOB1569
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: HOB11460
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: HOB1425
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: HOB2466
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: HOB5145
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: Kdnugget8865
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: EdTech2160
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: HOB849
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: HOB1410
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: HOB954
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: Kdnugget3957
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: HOB567
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: HOB795
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: HOB633
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 Labs1122
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: HOB402
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: HOB399
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: HOB1359
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: HOB3702
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: HOB3414
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: HOB342
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: HOB8109
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: HOB1239
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: HOB648
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: HOB366
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: HOB258
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: HOB99
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