These articles explore the basic definitions of data science and ML, the details of ML engineering, and the potential of quantum ML.
- By Upside Staff
- July 26, 2022
Industrial DataOps may be the key to securing your ultimate industrial transformation success.
- By Geir Engdahl
- July 25, 2022
Data quality is still a struggle for many enterprises, and new types of data and input techniques are adding to the burden. Jonathan Grandperrin, CEO of Mindee, explains the impact of bad data and how enterprises can use deep learning and APIs as part of their “good data” strategy.
- By Upside Staff
- July 21, 2022
These articles explore modern approaches to data governance and the goals of data governance programs.
- By Upside Staff
- July 21, 2022
Data visualizations about labeling food for carbon impact, the amount of land used for food production, and the calories in caffeinated drinks.
- By Upside Staff
- July 20, 2022
By automating model deployment, Pecan takes brings data science to BI analysts, marketers, and other business users.
New features eliminate architectural complexity challenges associated with existing cloud data platforms to deliver operational intelligence for cloud services monitoring, threat hunting, and troubleshooting.
Using data science in retail, improving customer experience, and solving problems with design thinking.
- By Upside Staff
- July 19, 2022