Machine learning use cases, technology trends, and new strategies.
- By Lindsay Stares
- December 19, 2017
Why GPUs are good for machine learning, how graph databases are growing, and why AI won’t replace human analysts.
- By Lindsay Stares
- December 12, 2017
What leaders need to understand about building a data science program, embracing a shift in IT’s role, and preparing for next year.
- By Lindsay Stares
- November 30, 2017
At this year's Teradata Partners conference, two central themes point to significant trends.
- By William McKnight
- November 28, 2017
Can artificial intelligence keep enterprise data safe and stay ahead of hackers' latest techniques?
- By Brian J. Dooley
- November 21, 2017
Why there are few entry-level jobs in data science, how vendors say machine learning will cleanse data, and which statistical techniques are most important in data science.
- By Lindsay Stares
- November 21, 2017
Creating a compelling business case is a greater challenge than building the edgiest of algorithms.
- By Jill Dyché
- November 20, 2017
Artificial intelligence, blockchain, and the Internet of Things have brought major, sometimes unwelcome shifts within the finance industry.
- By Michael Volkmann
- November 17, 2017