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
Getting started with machine learning, the challenge of training multiple ML models, and how machine learning may improve pooled testing programs.
- By Upside Staff
- July 30, 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
How data science is changing because of COVID-19, data science trends to watch, and how to apply machine learning today.
- By Upside Staff
- July 21, 2020
Natural language processing is helping enterprises analyze their data, but its complexities extend beyond understanding inputs and outputs. Behavioral Signals’ CEO, Rana Gujral, explains NLP’s strengths and weaknesses and compares text, voice, and facial recognition technologies.
- By James E. Powell
- July 17, 2020