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McKinsey’s 2025 research warns that enterprises who fail to redesign workflows and elevate governance roles risk falling behind peers already building AI on trusted foundations. For regulated industries like banking, financial services, healthcare, and life sciences, this shift underscores a critical truth: AI investments will only scale if they are built on auditable and compliant data foundations.
Across industries, the pattern is clear: as AI adoption accelerates, so does scrutiny. Regulations are multiplying, boards are demanding stronger oversight, and competitive advantage increasingly hinges on whether enterprises can embed trust, lineage, and accountability into their AI systems from the start. For leaders in highly regulated sectors, the imperative isn’t just to innovate - it’s to innovate in a way that keeps compliance and data privacy at the forefront.
This roundtable, hosted by Informatica and AWS, will explore how executives can turn these imperatives into action. Together, we’ll examine proven approaches for embedding trust and governance into agentic workflows, share best practices for scaling AI agents on AWS, and discuss how industry peers are successfully deploying agentic AI for a competitive edge.
What you'll gain:
Clear strategies to embed trust and compliance into AI from day one
A blueprint for scaling GenAI and agentic AI on AWS with confidence
Agenda
6:00pm - Arrival & Networking
6:30pm - Welcome & introduction from RapidScale
6:45pm - Customer fireside chat
7:15pm - Dinner & Discussion
8:45pm - Feedback session
9:00 pm - Close
Peer insights from leaders tackling the same regulatory and data challenges
Practical lessons on turning governance into a driver of growth and resilience
Meet the Speakers:
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Jason Beard
VP North America Profesional Services
Informatica
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Andy Curtis
Principal, WW GenAI GTM Strategist
AWS
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Vishal Gaurav
Garg/Associate Director – IT Data Management
Regeneron Pharmaceuticals, Inc.