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Christie
Mealo
Chief AI Officer
Medical Knowledge Group
Christie Mealo is SVP of AI Product Development at 90NORTH (an IPG Health company), where she oversees cross-functional teams of software engineers, designers, product managers, and AI specialists building AI-driven solutions at scale. With over a decade of experience spanning analytics, healthcare, and technology consulting, she specializes in bridging product strategy, engineering, design, and data science to deliver AI-native products. Christie is also the founder of Philly Data & AI, one of the largest grassroots data and AI communities on the East Coast with more than 2,000 members, as well as Orbit, an AI-native contact book and networking engine. She is passionate about leveraging cutting-edge AI to solve real-world problems, with an emphasis on building solutions that are practical, impactful, and scalable.
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29 October 2026 11:00 - 11:30
Your model isn't the moat: what actually protects AI products in 2026
Every competitor can now access the same models, so the model alone is rarely what keeps a customer. This talk comes from a Chief AI Officer who builds and scales AI-native products in healthcare and life sciences, and it looks at what actually protects an AI product once the underlying technology is widely available. This talk will cover where defensibility comes from in 2026, how product, engineering and design decisions create advantages that are hard to copy, and what changes when AI agents start comparing options on a customer’s behalf. Key Takeaways: → Why access to a strong model no longer differentiates an AI product, and what does → How product, engineering and design decisions build advantages competitors can’t easily copy → What to prioritize on an AI roadmap when customers and their agents are comparing options
29 October 2026 12:30 - 13:00
Panel | From deployment to value: What enterprise AI adoption actually requires
Board patience for AI experiments is thinning, and a live deployment is no longer enough to count as a win. A Chief Analytics & AI Officer, a chief architect, a product leader and a Chief AI Officer share what it took to get AI adopted, funded and measured in their organizations after launch. This panel will cover who owns adoption once a system is live, how they made build versus buy calls, and how they report ROI upward in a way leadership accepts. Key Takeaways: → What has to be in place beyond the model for adoption to stick, from data readiness to clear ownership → How to set value metrics that hold up in front of a board or CFO → Where deployments stall after launch, and the decisions that got them moving again