{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Proof of Impact","title":"\"Helpful, not creepy: personalization that earns trust,\" says Kevin McCurdy, Global CPG Partner Lead, AWS","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/9e8f1edb\"></iframe>","width":"100%","height":180,"duration":1495,"description":"Kevin McCurdy, Global Partner Lead, Consumer Goods, AWS, shows how Gen AI, trusted data, and risk-based guardrails turn experiments into repeatable CPG value. He highlights AWS and partner capabilities (Amazon Bedrock, SageMaker, secure integrations) with real wins such as demand forecasting, planogram automation, and Adastra’s Mark Anthony Group solution that scales assortment optimization and auto-generates seller scripts, plus quick-win assistants, cost controls, and an enterprise AI program with clear budgets, ownership, and accountability across product, employee, and customer use cases. \nWhat does it take to move from quick wins with Amazon Q to custom, domain-aware agents on Bedrock that scale across the enterprise? \nWhen is “good enough” data enough to start, and how can AI assistants surface gaps while improving data quality over time? \nWhich operating model and risk-based guardrails help leaders control cost and compliance while accelerating adoption? ","thumbnail_url":"https://img.transistorcdn.com/v6fa3F410okavJlYXTnSCHeua6Z8uO4pDkid7GK2Nfs/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iMWI4/MzAzYjhjYmQ4YjMy/Njc0OGViMzI4YzAz/ODZmNi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}