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
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
How to manage problem areas for data science, compensate for machine learning’s weaknesses, and improve your data culture.
- By Upside Staff
- July 9, 2020