Patricio, Bayer: Why the Job Isn't Done Until Users Actually Use Your AI

Patricio Salvatore La Rosa, a decision science leader at Bayer, joins Binny Mathews, CEO of HAI, to explain how AI changes decision-making in precision agriculture, supply chain planning and healthcare. He covers the difference between augmented and autonomous AI, why users must be told the end game up front, and why best practices like peer review in data science are an act of humility. You will learn: (1) why a model is not finished until users actually use it, which he calls the last mile of analytics; (2) how to build user trust by addressing pain points, job security and understanding of recommendations; (3) why AI means doing more, not having free time. ---------------------------------------------------------------------------------------------------------------- ⏱ TIMESTAMPS 00:00 Meet Patricio: Decision Science at Bayer 01:43 20 Years of Change in AI Decisions 06:53 Precision Agriculture: More With Less 12:21 Real Use Cases: Seeds, Inventory, Risk 16:13 Can AI Really Predict the Weather? 18:26 Augmented vs Autonomous AI 25:34 Free Time? Why AI Means Doing More 27:51 Fusing Sensors, Satellites and Graphs 34:08 Data Science Best Practices 41:58 The Last Mile of Analytics 44:47 Does AI Speed Up Data Science? 50:17 AI in Medicine: Microbiome and Diagnosis 56:58 Closing: Gratitude and Learning ---------------------------------------------------------------------------------------------------------------- 🎧 Listen on Spotify: https://bit.ly/4y6JOA9 🌐 More episodes: https://hai.work/podcast 📩 Enjoyed this episode? Please subscribe and leave a review — it helps more enterprise leaders find the show. #AI #DecisionScience #PrecisionAgriculture #AIAdoption #EnterpriseAI #HAI #HAIPodcast #HumanFirstAI #HumansofAI #TechPodcast #AIPodcast ----------------------------------------------------------------------------------------------------------------- Music from #InAudio: https://inaudio.org/ Upbeat Energetic Rock by Infraction / Dynamic Groove 📌 This episode was originally recorded as part of ProjectPro's AI Monetisation Podcast. The podcast has since evolved into HAI (Human-First AI), and this episode is now part of the HAI podcast archive. References to ProjectPro in the original recording have been retained.