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Machine Learning: Why it Matters?

In this contributed article, Smita Adhikary, Managing Consultant at Big Data Analytics Hires, provides a whirlwind overview of machine learning technology and why it’s important to increasing the value of enterprise data assets.

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.

Tech Employers Say Soft Skills are Top Hiring Factors for Data Analytics Jobs

In this contributed article, Bobbie Kilberg, President and CEO of the Northern Virginia Technology Council (NVTC), discusses the misconception that tech is all about tech, and which areas employment prospects should be focusing on. More and more businesses and governments are capturing, analyzing and interpreting huge amounts of data to boost organizational performance, promote new discovery and understanding, enhance decision making, and tackle public policy and societal challenges.

Will Big Data Influence Artificial Intelligence as a Major Disruption?

In this contributed article, Arun Goyal, Founder at Octal Info Solution, discusses how big data is positioned to influence AI as a major disruption in the industry.

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.

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.

Data from Uber Movement Means a Bright Future for Cities

In this contributed article, Harry Glaser, CEO of Periscope Data, discusses the newly announced knock-out platform from Uber called “Movement,” which will offer access to its data around traffic flow in scores where it operates, intended for use by city planners and researchers looking to improve mobility.

4 Ways to Encourage Big Data Adoption in Your Business

In this contributed article, technology writer and blogger Kayla Matthews offers four ways to encourage big data adoption in your business. If you’re trying to stimulate interest in big data throughout your organization and get employees on board, keep reading, encouraging adoption may not always be straightforward, but it’s a worthwhile endeavor.