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
These articles explain current data regulations, trends in online fraud, and the challenging state of privacy policies.
- By Upside Staff
- November 20, 2019
Andrew Yang's policy of "Data as a Property Right" and increased privacy protections is a worthy effort for a politician but misses the mark on many fronts.
- By Barry Devlin
- November 19, 2019
IT leaders who put strategy into practice make an IT organization indispensable.
- By Jill Dyché
- November 19, 2019
Recent data trends to understand, how to manage digital transformation, and upcoming analytics trends to watch for.
- By Upside Staff
- November 19, 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 data sources and the spread of real-time data analysis are leading to increased interest in optimizing human and electronic processes.
- By Brian J. Dooley
- November 15, 2019