The growing enthusiasm for a new hybrid role raises significant questions. We answer them here.
- By Brett Chouinard
- March 3, 2022
Teaching ethics to data scientists, researching solutions to biased algorithms, and debate about the future of AI and privacy regulations.
- By Upside Staff
- March 1, 2022
Why the analytics engineer will displace the data scientist as the world’s sexiest job, and how the modern data stack plays a part in this trend.
- By Cindi Howson, Michael Ritchie
- February 28, 2022
In this Q&A, we look at two key machine learning approaches -- what they are, how they’re used, and the challenges of implementing them -- with Naveed Ahmed Janvekar, a senior data scientist at Amazon.
- By Upside Staff
- February 22, 2022
Tips for new data scientists, the roadblocks facing data science programs, and perspectives on ethical data science applications.
- By Upside Staff
- February 22, 2022
Building a unified platform for AI, understanding ethical guidelines for AI, and recognizing benefits and obstacles.
- By Upside Staff
- February 15, 2022
Operationalizing machine learning models requires a different process than creating those models. To be successful at this transition, you need to consider five critical areas.
- By Troy Hiltbrand
- February 14, 2022
The failures and risks of AI in healthcare and recommendations for ensuring healthcare innovation benefits everyone.
- By Upside Staff
- February 10, 2022