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Bigger is Better: Why Enterprise Analytics Needs Scale

In this special guest feature, Andrew Pease, Principal Business Solutions Manager at SAS, discusses why enterprise analytics must incorporate scale and its relation to speed and innovation within an organization.

Uncovering Opportunities at the Intersection of Public and Private Data

In this special guest feature, Hicham Oudghiri, CEO and Co-Founder at Enigma, discusses how data analysis as a tool for solving problems requires an understanding that the answer lies within the data set, either in the form of an insight or actionable anomaly. As businesses turn to analytics more to solve their everyday issues, it is important to understand what data can and can’t do, and to understand how to identify which data sets in a sea of data can help solve the problem at hand.

In Healthcare, Automation Is Not Just About Efficiency

In this special guest feature, Carla Leibowitz, Head of Strategy and Marketing at Arterys, discusses how deep learning tools can aid physicians in determining a patient’s condition more quickly and accurately and what promise this holds for personalized care.

Key Challenges for Commercial Text Miners

Researchers use text mining tools to extract and interpret facts, assertions, and relationships from vast amounts of published information. Mining accelerates the research process. However, despite the many benefits of text mining, researchers face a number of obstacles before they even get a chance to run queries against the bigger body of literature. Read on as Michael Iarrobino, Product Manager at Copyright Clearance Center, explains the key challenges for commercial text miners.

Who Will Untap The Next Big Thing in Machine Learning? Hint: It’s Not Our Data Scientists

In this special guest feature, Michael Liberty, COO and co-founder of Signifyd, argues that an overabundance of data scientists is slowing the growth of machine learning. What’s needed is a better balance of data scientists and engineers who can produce machine learning insights at industrial scale.

The Customer Experience Has Evolved Thanks to IoT – The Time is Now for Contact Centers to Take Charge

In this special guest feature Jack Nichols, Director of Product Management at Genesys, discusses IoT and how with all this data available in near real-time, businesses must determine how to leverage it in a way that equally serves themselves and their customers.

Making the Most of Big Data Requires Effective Training in Data Science

In this special guest feature, Devavrat Shah, professor in MIT’s Department of Electrical Engineering and Computer Science, discusses the type of training data scientists need in order to glean the most value from big data.

Capitalizing on Connectivity: IoT Data Considerations

In this special guest feature, Jake Freivald, Vice President of Corporate Marketing for Information Builders, discusses what to consider when looking for the right information management strategy, so that organizations can begin incorporating IoT data into their existing framework and begin reaping the benefits.

The Business Value of Deep Text Analytics at Massive Document Scale

In this special guest feature, Dr. Brian Sager, CEO and co-founder of Omnity.io, provides 5 examples in support of the business value of deep text analytics at massive document scale. The examples are drawn from use cases within R&D, competitive strategy, patent law, and knowledge management, as well as M&A and post merger integration.

In Fantasy Football, as in Business, Speed-to-Action is a Competitive Advantage

In this special guest feature, Dan Wilmot, Sr. Architect at Pyramid Analytics, explores how to unlock opportunities previously hidden within the depths Fantasy Football data.