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
No matter what impact automation will have on jobs in the future, it's instructive to look at the effect it is having now during the COVID-19 pandemic.
- By Itamar Ben Hamo
- August 14, 2020
Did Parisians change their behavior when social distancing regulations were implemented? Here's how one organization conducted detailed research using data on human mobility to check the accuracy of anecdotal news media reports.
- By Artem Berehovyi
- August 12, 2020
Looking for a job in artificial intelligence? AI job titles vary wildly, which complicates job searches. Dr. Feiyu Xu, global head of artificial intelligence for SAP Cloud Platform, helps decode AI job titles and explains what skills each position needs.
- By James E. Powell
- August 11, 2020
Learn about the state of AutoML, the basics of MLOps, and finding the right data science algorithm.
- By Upside Staff
- August 11, 2020
From digital twins and contextual AI to graph databases and analytics democratization, many analytics changes are ahead. Todd Blaschka, chief operating officer at TigerGraph, sorts out which trends are worth watching.
- By James E. Powell
- August 10, 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
Avoiding machine learning problems, using ML to help sales, and using IoT for machine monitoring.
- By Upside Staff
- August 4, 2020