Current attempts to weed out fake news focus on analytics and algorithmic approaches. They miss more intractable social and psychological issues that must be addressed.
- By Barry Devlin
- December 19, 2016
From disruptions to new technologies, 2017 is shaping up to be an important year for data and the people who use or manage it.
- By Stan Christiaens
- December 16, 2016
The use and abuse of AI-based chatbots and avatars powered by your own big data may threaten democracy by the 2020 U.S. election far more than this year's fake news.
- By Barry Devlin
- December 15, 2016
Microsoft argues that in-memory processing can accelerate OLTP and OLAP workloads. This is true on premises. It's also true -- with a few caveats -- in the cloud.
This year will go down as a strange, even uncanny, kind of year.
- By Steve Swoyer
- December 15, 2016
Read predictions for analytics in 2017, how human knowledge may prevent automation errors, and how knowing the right context provides value in big data.
- By Quint Turner
- December 14, 2016
Industry analyst Michael Schiff shares the results of last year's predictions and what he foresees in the coming year.
- By Mike Schiff
- December 14, 2016
Driven by business demands, easy-to-use tools are pushing analytics deeper into the enterprise. By stressing ease of use, vendors strive to deliver more insights and reach more users.
- By Linda L. Briggs
- December 8, 2016