Data scientist Claudia Perlich explains why we must use machine learning and predictive technologies ethically, responsibly, and mindfully.
- By Steve Swoyer
- March 8, 2017
In order to use advanced analytics insights, we must identify and control for our biases. In all likelihood, we're going to be surprised by what we find.
Worst data scientist hiring practices, future-proof a data science career, and launch a great BI program.
- By Lindsay Stares
- March 7, 2017
Visualizations help us understand where people choose to run, how foods compare, and where exercise becomes unhealthy.
- By Lindsay Stares
- March 1, 2017
Find out if you need DevOps for big data, how to clean up a data swamp, and how big data helps protect actual wetlands.
- By Lindsay Stares
- February 28, 2017
FreeSight isn't like other spreadsheet-esque offerings. A so-called "governance spreadsheet," it supports repeatability and reuse in a class unto itself.
The increasing importance of deep learning could bring about another skills shortage as the desire for practitioners outpaces supply.
- By Brian J. Dooley
- February 24, 2017
Deep learning is an increasingly important part of the AI toolkit, yet it is often misunderstood.
- By Brian J. Dooley
- February 23, 2017