These articles give you basic guidance in creating a new data governance program, becoming a data-driven enterprise, and starting out with machine learning.
- By Upside Staff
- June 26, 2018
An oath for data scientists, a plan for data governance, and concerns about data quality for AI.
- By Upside Staff
- June 21, 2018
Researchers use machine learning to project World Cup results, design AI tools to measure kids’ engagement, and use data science to decide the best video game racer.
- By Upside Staff
- June 19, 2018
Programs that perform repetitive tasks could be useful for enterprises looking to automate data management tasks, from data cleansing and normalization to data wrangling and metadata management.
- By Brian J. Dooley
- June 18, 2018
Improve machine learning models by avoiding bias, refining training data, and seeing what’s missing.
- By Upside Staff
- June 5, 2018
Three articles about the ways machine learning and AI are improving and endangering your cybersecurity.
- By Upside Staff
- May 22, 2018
Dangers when starting machine learning, applications for AI, and why some practitioners say they need a better way to evaluate AI results.
- By Upside Staff
- May 8, 2018
When big data is combined with machine learning, enterprises must be alert to new data quality issues.
- By Brian J. Dooley
- May 4, 2018