A new program to help AI start-ups, how predictive analytics manages industrial risk, and how predictive analytics might cut costs for healthcare organizations.
- By Lindsay Stares
- August 1, 2017
When it comes to AI, data can't be an afterthought. There's still more demand than supply when it comes to data knowledge.
- By Jill Dyché
- July 24, 2017
To take advantage of machine learning, you'll need a new set of skills. Here are a few recommendations.
- By William McKnight
- July 20, 2017
Use these visual introductions to learn basic concepts and algorithms for machine learning.
- By Lindsay Stares
- July 19, 2017
The latest on AI-driven sentiment analytics, how big data is optimizing energy use, and how IoT devices are affecting food regulations.
- By Lindsay Stares
- July 13, 2017
Facial recognition technology allows us to recognize prospects and link them to our customer data warehouses while potentially providing an additional data source.
- By Mike Schiff
- July 13, 2017
Bias is everywhere -- even in analytics. The best way to control for bias is to incorporate a diversity of experiences and perspectives in the teams we use to design and maintain predictive, machine learning, and AI systems.
Predictive analytics, machine learning, automated decision rules, AI, and other security analytics technologies have transformed how we handle malicious hacking activity. Are they adequate?