Although 72 percent of companies are planning to deploy big data in the cloud, the migration path is not always smooth. These tips will help you avoid some common potholes.
An ISP's ability to sell our browsing history will create an additional big data source while expanding our digital footprints and further invading our privacy.
- By Mike Schiff
- May 26, 2017
Easy-to-use tools for deep learning will soon become available for mainstream consumption via packaged and SaaS applications as well as function-specific libraries.
How Congress could encourage data innovation, the state of the graph database market, and the importance of good mobile coverage at the office.
- By Lindsay Stares
- May 25, 2017
Deep learning is rapidly reshaping the boundary of what we think of as possible.
- By Devavrat Shah
- May 24, 2017
We're still far from anything like general-purpose artificial intelligence, but we're witnessing an explosion in the availability of function-specific AI.
Take a break from solving serious data problems and see how enthusiasts use data to judge the taste of water, evaluate movie ratings, and decide the box office champion.
- By Lindsay Stares
- May 24, 2017
Apple’s recent investment in machine learning, the general opinion of machine learning applications, and an initiative to better understand the inner workings of such algorithms.
- By Lindsay Stares
- May 23, 2017
Data lakes offer organizations many positives, but they also have the potential to grow aimlessly, consuming an ever-larger share of storage, computing horsepower, technology personnel, and budget.
- By David Stodder
- May 23, 2017