Jay is a computational social scientist and AI entrepreneur helping enterprises unlock smarter decision-making through predictive technology. His work sits at the intersection of behavioral science, AI, and systems thinking, enabling organizations to thrive in an era of complexity. Jay is passionate about reshaping how institutions understand and engage with human behavior.
He believes that when AI is grounded in behavioral insight, it doesn’t just optimize outcomes, it transforms entire industries. To ground his research; he’s an active researcher, educator and practitioner of AI. When he’s not working on predictive algorithms or coding, Jay heads to the treadmill to chase the 5 min mile.
Session Overview
Intelligence That Adapts: Inside the AI Agent Revolution
We’re entering a new era where AI is no longer confined to static models and one-off predictions. This session explores the rise of adaptive AI agents—systems that perceive, learn, and act continuously within complex environments. These agents operate as part of dynamic ecosystems, engaging in real-time feedback loops, evolving alongside the systems they serve. We’ll examine how this paradigm shift transforms decision-making, creates more resilient organizations, and redefines what it means to build truly intelligent systems.
Learning 1: Understand the transformative effect of Adaptive AI agents
Learning 2: Learn how to decide on your AI context to achieve business results reliably
Learning 3: Gain insights into the decision cycle to decide on model types like static, dynamic and generative models.
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Planner’s School
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Jay is a computational social scientist and AI entrepreneur helping enterprises unlock smarter decision-making through predictive technology. His work sits at the intersection of behavioral science, AI, and systems thinking, enabling organizations to thrive in an era of complexity. Jay is passionate about reshaping how institutions understand and engage with human behavior.
He believes that when AI is grounded in behavioral insight, it doesn’t just optimize outcomes, it transforms entire industries. To ground his research; he’s an active researcher, educator and practitioner of AI. When he’s not working on predictive algorithms or coding, Jay heads to the treadmill to chase the 5 min mile.
