A new algorithm shows biased training data, why humans can fool machine learning, and AI for social good.
- By Upside Staff
- June 30, 2020
From migration struggles to vendor lock-in, we look at some of the most challenging enterprise problems and changes ahead with Raj Verma of MemSQL.
- By James E. Powell
- June 9, 2020
AI myths to watch out for, a new metric for measuring the efficiency of ML, and how NLP can be used to screen the news.
- By Upside Staff
- May 26, 2020
Results of a new TDWI survey show the impact COVID-19 is having on the work of data and analytics professionals in the U.S.
- By Fern Halper
- May 20, 2020
The dangers of misleading data, how hoaxes are evading technology designed to catch them, and guidance for using 2020 data in predictive models.
- By Upside Staff
- May 5, 2020
Edge computing is on the way. Are you prepared for the dawn of this analytics-driven vision that combines advances in AI and networking to create more powerful localized systems?
- By Brian J. Dooley
- April 27, 2020
From real-time analytics to data-warehouse-as-a-service, there are plenty of challenges ahead for today's data-driven enterprise. Hexaware’s Vaidyanathan J.R. shares his ideas.
- By James E. Powell
- April 20, 2020
Enterprises are increasingly pushed for faster insights from their ever-increasing data volumes. A TDWI senior analyst looks at how some vendors are responding.
- By David Stodder
- April 17, 2020