IT leaders need to actively shine a light on all parts of your tech/business gap -- from project backlogs to business expectations -- to secure additional resources.
- By Stan Pugsley
- January 29, 2020
How can modern enterprises scale to handle all of their data? Tomer Shiran, cofounder and CEO of Dremio, told Upside why he thinks it's all about the data lake.
- By James E. Powell
- January 28, 2020
To get the best out of data, follow these five DataOps implementation tips.
- By Rahul Varshneya
- January 24, 2020
Predictions for upcoming developments in data science and AI, infrastructure and operations, and the adoption of DataOps.
- By Upside Staff
- December 19, 2019
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
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