
Sign up to save your podcasts
Or


The source material, primarily excerpts from the "Weekly Dose of GenAI Adoption" newsletter, edition #80, focuses on a strategic approach for implementing Generative AI (GenAI) in enterprise settings. Written by Indy Sawhney, a Generative AI Strategy & Adoption Leader at AWS, the newsletter advocates for adopting the Kaizen philosophy of continuous, small improvements—a concept borrowed from Toyota—instead of attempting large-scale, "big bang" deployments. The core advice urges organizations to reimagine workflows and processes before inserting AI agents, aiming to ship the "Smallest Useful Version" (SUV) that targets a single key performance indicator (KPI). Ultimately, the author emphasizes the importance of iteration over perfection, strict observability, and retaining human involvement in the loop to ensure safe, sustainable, and evidence-based expansion of AI autonomy, especially within the healthcare and life sciences industries.
 By Indy Sawhney
By Indy Sawhney2.7
33 ratings
The source material, primarily excerpts from the "Weekly Dose of GenAI Adoption" newsletter, edition #80, focuses on a strategic approach for implementing Generative AI (GenAI) in enterprise settings. Written by Indy Sawhney, a Generative AI Strategy & Adoption Leader at AWS, the newsletter advocates for adopting the Kaizen philosophy of continuous, small improvements—a concept borrowed from Toyota—instead of attempting large-scale, "big bang" deployments. The core advice urges organizations to reimagine workflows and processes before inserting AI agents, aiming to ship the "Smallest Useful Version" (SUV) that targets a single key performance indicator (KPI). Ultimately, the author emphasizes the importance of iteration over perfection, strict observability, and retaining human involvement in the loop to ensure safe, sustainable, and evidence-based expansion of AI autonomy, especially within the healthcare and life sciences industries.

227,737 Listeners

213 Listeners