AI algorithms must be well understood if enterprises are to shield their analytics results from bias.
- By Brian J. Dooley
- May 1, 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 not to do as a data scientist, the effectiveness of infographics, and the growth of BI in the cloud.
- By Lindsay Stares
- April 20, 2017
An in-depth use case about how machine learning drives sophisticated recommendation engines and recent research on avoiding discrimination in learning algorithms.
- By Lindsay Stares
- April 19, 2017
Visualizations show us the numbers behind acting’s gender gap, connections in the television world, and trends in the editing profession.
- By Lindsay Stares
- April 12, 2017
Are dimensional models still relevant given the expansion of BI and analytics solutions?
- By Chris Adamson, CBIP
- April 12, 2017
Integrating voter data from dozens of sources in dozens of formats presented a data quality problem for NationBuilder.
- By Brian J. Dooley
- April 10, 2017