The prospect of chief machine learning officers, the future trends affecting data integration and cloud computing, and the problems with storing all data indiscriminately.
- By Lindsay Stares
- June 15, 2017
MBA programs adding data science classes, Google fights spam with machine learning, and the pros and cons of using machine learning in hiring decisions.
- By Lindsay Stares
- June 6, 2017
When you should start using machine learning technology, a model for internal data science training, and what soft skills data scientists need.
- By Lindsay Stares
- June 1, 2017
Preparing for obsolete data formats, new data unification technologies, and a survey on children’s use of electronics.
- By Lindsay Stares
- May 30, 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.
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.
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