Data ingestion is a process that needs to benefit from emerging analytics and AI techniques.
- By Brian J. Dooley
- May 12, 2017
Inspirational quotes for aspiring data scientists, how neural networks power extraterrestrial exploration, and why cybersecurity is now important in major sports.
- By Lindsay Stares
- May 9, 2017
Algorithms may not be as impartial as we think. Avoiding problems with algorithms will demand collaboration and novel thinking across your entire organization.
- By Barry Devlin
- May 9, 2017
Evaluating text with AI and machine learning may not be sufficient to identify "fake news."
- By Brian J. Dooley
- May 8, 2017
If your enterprise needs to move to real-time analytics and incorporate the benefits of AI, these three trends are worth your attention.
- By James Mesney
- May 2, 2017
AI algorithms must be well understood if enterprises are to shield their analytics results from bias.
- By Brian J. Dooley
- May 1, 2017
How data science and AI will work together, comparing market analysis for predictive analytics and data science platforms, and how IoT is already changing industries.
- By Lindsay Stares
- April 27, 2017
An in-depth use case about how machine learning drives sophisticated recommendation engines and recent research on avoiding discrimination in learning algorithms.
- By Lindsay Stares
- April 19, 2017