Automated machine learning is likely to introduce two critical problems. Fortunately, vendors are introducing tools to tackle both of them.
- By Fern Halper
- August 17, 2020
Chris Bergh describes himself as "CEO and Head Chef" of DataKitchen, a company that enables analytics teams to iterate and innovate with their DataOps platform. He shares his enthusiasm for DataOps in this interview, explaining what makes it so popular and what's driving its adoption, as well as how to get the most from AI.
- By James E. Powell
- August 7, 2020
Extracting insight from the masses of data inundating organizations is easier with a common data model. Here's an overview of its benefits.
- By Digvijay Lamba
- August 3, 2020
What are the big trends enterprises face in BI and analytics? Satyen Sangani, CEO and cofounder of enterprise data catalog vendor Alation, explains why he thinks machine learning, data literacy, data governance, and data catalogs are so important right now.
- By James E. Powell
- July 27, 2020
Today’s data architecture considerations, data management trends, and data ethics requirements.
- By Upside Staff
- July 23, 2020
If organizations use enterprise systems to solve common challenges, users can focus on resolving business questions and improving performance rather than on how to query and access data.
- By David Stodder
- July 21, 2020
How to communicate the importance of data governance, use machine learning for cybersecurity, and protect data privacy with AI.
- By Upside Staff
- July 16, 2020
Ralph Aloe, director of enterprise information management at Prudential Financial, Inc., explains how his enterprise put data virtualization to use, including how the technology fits in with their data fabric, benefits they enjoyed, and lessons they learned.
- By James E. Powell
- July 10, 2020