MinIO CEO and cofounder Anand Babu Periasamy explains why thinking about (and managing) data is so critical to enterprise success, the role of AI/ML, the disruptive nature of Kubernetes, and where analytics and data management are headed in 2020 and beyond.
- By James E. Powell
- November 26, 2019
Refined and labeled data is imperative for advances in AI. When your supply of good data does not match your demand, look to synthetic data to fill the gap.
- By Troy Hiltbrand
- November 22, 2019
Garbage training data in, garbage model out. Here are four things to address to solve data quality problems.
- By Brian J. Dooley
- November 21, 2019
Building a great machine learning team, removing data silos, and managing the structure of data governance organizations.
- By Upside Staff
- November 21, 2019
Focusing on business outcomes, aligning teams, and achieving quick wins can help your AI analytics program succeed.
- By Pete Reilly
- November 18, 2019
New AI-enabled advances, how IT should support data scientists, and how CIOs must face new challenges.
- By Upside Staff
- November 12, 2019
Analytics is used to predict staffing needs, track and analyze symptoms, and identify high-risk patients, but organizations must be wary of bias.
- By Upside Staff
- November 7, 2019
Machine learning has applications across departments and industries. Read examples in these three articles.
- By Upside Staff
- November 5, 2019