Recent research into AI’s shortcomings, potential for general AI, and improvements to autonomous vehicles.
- By Upside Staff
- June 15, 2021
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
Liberating mainframe data and enabling newer and more agile analytics activities is becoming increasingly common and is no longer an unusual or experimental practice.
Principles of master data management, data quality improvement, and data privacy protection.
- By Upside Staff
- June 8, 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
The data fabric concept is predicted to evolve from a buzzword to a concrete implementation stage very quickly because it promises and provides great business value, argues Nick Golovin, Ph.D., CEO and the technical founder of Data Virtuality.
- By James E. Powell
- June 4, 2021