On average, 80% of AI projects fail to make it to production. But it IS possible to successfully launch AI, at scale, that is built responsibly and works for everyone. How you scale from pilot to production is critical to ensuring AI success, while continuing to be a good corporate citizen through responsible productization. In this latest Data Science Central webinar, we’ll talk about the framework for scaling AI pilots to production with a focus on ethical responsibilities and bias mitigation at each step.
We’ll look at:
The five-step AI development cycle
Ways to control for unwanted bias across data, models, and run time at the production layer
Explainability and why it is key for moving AI pilots to production that delivers core business value
Lukas Biewald, Founder & CEO – Weights & Biases
Alyssa Simpson-Rochwerger, VP of AI & Data – Appen
Sean Welch, Host and Producer – Data Science Central