Recent innovations produce synthetic data that is richer, more varied, and similar to real data, making it more useful than ever in providing the missing data machine-learning models need.
- By Sigal Shaked
- June 14, 2021
How can your IT organization enjoy the benefits of virtual machines and containers? MetalSoft's Bernie Wu offers his perspective.
- By James E. Powell
- June 11, 2021
Creating broader applications for data science, proper measurement for model outcomes, and avoiding ML attacks.
- By Upside Staff
- June 10, 2021
These data visualizations show how special interests write legislation and which industries and companies spend the most to lobby the U.S. government.
- By Upside Staff
- June 9, 2021
Speed is not a vanity metric when it comes to business intelligence because data is only as valuable as it is fresh, accurate, and actionable.
- By David P. Mariani
- June 7, 2021
Data science for power companies, how the U.S. government approaches AI, and using predictive analytics to slow health care worker turnover.
- By Upside Staff
- June 3, 2021
These data visualizations explore trends in data breaches, a recent survey about data governance and privacy, and what information big tech companies collect.
- By Upside Staff
- June 2, 2021
Read these articles for machine learning fundamentals, challenges ML programs face, and one way more data can be made accessible for AI/ML training.
- By Upside Staff
- June 1, 2021