Learn about data and analytics strategies from sports, plan for AI-driven, highly personalized content, and find out how predictive analytics is working for universities.
- By Upside Staff
- April 23, 2019
What’s coming in the U.S. for consumer data protection, what enterprises can do to protect their data, and how new regulation might affect medical devices that depend on machine learning.
- By Upside Staff
- April 18, 2019
These data visualizations show patterns for childbirth, daycare costs, and high school education in the U.S.
- By Upside Staff
- April 17, 2019
How quickly self-driving are cars coming, how they can be created more efficiently, and what went wrong for an airplane’s automated systems.
- By Upside Staff
- April 16, 2019
Data quality issues become even more important as machine learning use grows. DataOps and data wrangling help enterprises address this vital problem.
- By James E. Powell
- April 16, 2019
Machine learning applications are dependent on, and sensitive to, the data they train on. These best practices will help you ensure that training data is of high quality.
- By Greg Council
- April 15, 2019
With the advent of automated machine learning, data scientists will need to adapt their role in the data science life cycle.
- By Troy Hiltbrand
- April 12, 2019
How to be successful with machine learning, choose the right tools, and head off model decay.
- By Upside Staff
- April 11, 2019