Identifying hidden machine-learning debt is just the first step in becoming debt free.
- By Paul Pallath
- January 9, 2017
How to reduce bias in data analytics, avoid issues with security-focused data lake projects, and learn from recent failures in predictive analytics.
- By Quint Turner
- January 9, 2017
Google forges ahead with powerful techniques and discoveries in artificial intelligence. Where are examples of their application to BI to be seen?
- By Barry Devlin
- January 4, 2017
Is your enterprise making the most of incident and anomaly detection?
- By David Drai
- January 3, 2017
Help your enterprise respond to data breaches and defend against ransomware -- and help your nontechnical staff communicate with machine learning experts.
- By Quint Turner
- December 19, 2016
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
Greater interest (and deployment of) AI, advanced analytics, and open source are among the trends you'll be seeing in 2017.
- By Fern Halper
- 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