AI and Machine Learning in 20 minutes

Provide Centralized Monitoring for All Your Production Models

What is MLOps? Why is it imperative for organizations trying to become AI-driven?

Join Peter Simon, DataRobot’s lead data scientist for financial markets, on part one of the podcast, AI in Financial Markets.

In two-part podcast series Ari Kaplan, AI Evangelist at DataRobot, shares experience from industry leaders about AI with ROI, Transparent AI Storytelling, and other topics.

In two-part podcast series Jett Oristagio, Data Science & Product Lead of Trusted AI at DataRobot, will review how to think about bias as it relates to AI and the human systems that it is used in.

Listen to this podcast to learn how to: - Understand the limitations of your model and when you may need human intervention

In this 15-minute podcast produced by Data Science Central, you will learn the science of cognitive bias in data science, how it leads to substandard AIs and models, and how to avoid this type of data science fail.

In this 15-minute podcast produced by Data Science Central, we look behind the hype to show whether there is substance to these claims, and then show you how to avoid these types of data science fails.

In this episode produced by Data Science Central, we go beyond the opinions and learn what academic research and experiments can tell us about optimal transparency.

In this podcast produced by Data Science Central, you’ll learn four AI governance practices that can help you achieve AI success.

In this 15-minute podcast produced by Data Science Central, we explore best practices in Production Model Deployment.