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SCHEDULE TBD
KEYNOTE
Knowledge Flow: Designing Actual Intelligence
AT A GLANCE
Role
Founder, Principal Architect
Organisation
Mentrix / The Athletic
Category
Hero
ABOUT THE SPEAKER
Diana Montalion is a software engineer, systems architect, author, and speaker working at the intersection of technology architecture and organizational intelligence. For over 20 years, she has designed complex systems for organizations including The Economist, Wikimedia Foundation, Stanford, and startups. She is the author of Learning Systems Thinking (O’Reilly) and the creator of Knowledge Flow, a body of work focused on how systems learn — or fail to — through the flow of knowledge across people and technology. She currently leads architectural strategy at The Athletic, shaping a platform designed to turn sports data, content, and fan interaction into real-time intelligence.
TALK
Knowledge Flow: Designing Actual Intelligence
We’ve never had better tools. Faster streams. Decoupled architectures. AI writing our code. And yet , systems still drift towards a big ball of mud. Unsatisfying and difficult to change. Better tools aren’t enough. We can’t layer AI on top of confusion and get intelligent systems. Artificial intelligence doesn’t increase organizational intelligence. The more we optimize for speed — delivery, data, tools, or LLMs — the more we strangle knowledge flow. When knowledge doesn’t flow, organizations don’t think. They react. Knowledge Flow is how people and technology co-create intelligence that moves across tools, situations, and time. We don’t have a data problem. We have a knowledge problem. This is a talk is about designing systems that generate momentum, coherence, and resilience — in the technology and in the teams. Because intelligent systems aren’t something we add. They’re something we design.
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