If your enterprise needs to move to real-time analytics and incorporate the benefits of AI, these three trends are worth your attention.
- By James Mesney
- May 2, 2017
AI algorithms must be well understood if enterprises are to shield their analytics results from bias.
- By Brian J. Dooley
- May 1, 2017
IBM, SAS, RapidMiner, and KNIME lead the pack in Gartner's new "Magic Quadrant for Data Science Platforms."
Jill sings the praises of experts (if only she could sing!). Are you marketing your personal specialty?
- By Jill Dyché
- April 27, 2017
How data science and AI will work together, comparing market analysis for predictive analytics and data science platforms, and how IoT is already changing industries.
- By Lindsay Stares
- April 27, 2017
Combining maps with location-specific data is a common and effective way to understand national systems and population distribution.
- By Lindsay Stares
- April 26, 2017
What might a governance model for data science and exploratory analytics look like? To get an idea, head down to your local Trader Joe's.
How advanced analytics could help airlines, why some health insurers are skeptical about predicting analytics, and how enterprises of any size can become big data leaders.
- By Lindsay Stares
- April 25, 2017
IT-related spending by the line of business will grow faster than spending by enterprise IT departments starting this year. However, IDC projects that by 2020 spending will be more or less equal.