What It Takes to Make Agentic AI Work in Retail | MIT Technology Review

SponsoredThank you for joining us on the "Enterprise AI hub." In this episode of the Infosys Knowledge Institute Podcast, Dylan Cosper speaks with Prasad Banala, Director of Software Engineering at a large US-based retail organization, about operationalizing agentic AI across the software development lifecycle. Prasad explains how his team applies AI to validate requirements, generate and analyze test cases, and accelerate issue resolution, while maintaining strict governance, human-in-the-loop review, and measurable quality outcomes. Click here to continue. Keep ReadingMost Popular10 Breakthrough Technologies 2026Here are our picks for the advances to watch in the years ahead—and why we think they matter right now. By Amy Nordrumarchive pageA “QuitGPT” campaign is urging people to cancel their ChatGPT subscriptionsBacklash against ICE is fueling a broader movement against AI companies’ ties to President Trump. By Michelle Kimarchive pageMoltbook was peak AI theaterThe viral social network for bots reveals more about our own current mania for AI as it does about the future of agents. By Will Douglas Heavenarchive pageMeet the new biologists treating LLMs like aliensBy studying large language models as if they were living things instead of computer programs, scientists are discovering some of their secrets for the first time. By Will Douglas Heavenarchive pageStay connectedIllustration by Rose WongGet the latest updates fromMIT Technology ReviewDiscover special offers, top ...