These articles project what tech skills, customer experience technologies, and data storage technologies will be most important in 2020.
- By Upside Staff
- December 3, 2019
The popularity of AI and ML have wide-reaching effects on your enterprise. Here are three important trends driven by AI to look out for next year.
- By Ryohei Fujimaki
- December 2, 2019
Thanksgiving dinner as an infographic, visualizing seasonal change, and analyzing holiday radio.
- By Upside Staff
- November 27, 2019
The purpose of documenting data science and tips for judging the value of machine learning.
- By Upside Staff
- November 26, 2019
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
Three trends that were at the forefront of both the Cloudera Analysts conference and Strata Data.
- By David Stodder
- November 25, 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