Today's guest is Prukalpa Sankar, Co-Founder & CEO at Atlan. Atlan is a metadata platform delivering data and AI governance. Combining enterprise data with AI infrastructure with business context and security, Atlan allows humans and AI agents to find, trust, and govern data across the entire enterprise. Prukalpa joins Emerj Editorial Director Matthew DeMello to unpack why so many enterprise AI pilots still fail in production — and why solving for context rather than just data volume or model complexity is becoming the decisive factor. The conversation also highlights how leading enterprises are closing this context gap and what "context readiness" means for any organisation aiming to operationalise AI in 2026. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by Atlan.

Today's guest is Vaithi Bharath, Associate Director of Data Science & AI Solutions at Bayer. Bharath joins Emerj Editorial Director Matthew DeMello to break down why clinical R&D timelines often slip for reasons that have little to do with model performance. Rather, delays compound when data moves across fragmented systems, teams rely on slow handoffs, and validation requirements turn minor adjustments into major cycle-time hits. He walks through where decision-making slows from data capture through database lock, and what it takes to accelerate workflows without replacing a validated environment. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by AnswerRocket.

Today's guest is Tami Craig Schilling, Vice President of Agronomic Digital Innovation at Bayer Crop Science. Tami brings decades of expertise in agricultural sales, R&D, and digital tools for farmer support. Tami joins Emerj Editorial Director Matthew DeMello to explore how generative AI delivers localized recommendations across the plan-plant-grow-harvest cycle amid variable soil, practices, and weather conditions. Tami also shares practical takeaways like using zip code-based tools such as ELI for prompting that triangulates genetics, environment, and pests—augmenting human expertise with precise agronomy advice, prompt guides for optimal outputs, and scale-neutral support from commercial to smallholder farmers. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!