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Daniel
Cho
Senior Machine Learning Scientist
Expedia Group
Daniel Cho is a Machine Learning Engineer with over 7 years of experience building intelligent decision systems at the intersection of data, optimization, and AI. At Expedia Group, he led the development of large-scale churn-prevention and incentive-optimization platforms, automating business decisions across multiple global brands. Before joining Expedia, Daniel advanced AI-driven simulation and optimization at Corning Incorporated, accelerating complex 3D manufacturing processes with deep learning surrogate models, and previously contributed to analytics and data engineering initiatives at Enbridge, Health Canada, and Xerox. Daniel holds a Master of Applied Science from the University of Toronto, where he specialized in applying machine learning to simulation and optimization, and is completing his MS in Computer Science (Machine Learning) at Georgia Tech.
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12 November 2026 16:30 - 17:00
Panel | Giving agents more autonomy without losing control
As AI agents become capable of planning, reasoning, and taking action with minimal human intervention, the challenge is no longer enabling autonomy, it's governing it. How do you give agents the freedom to make decisions while ensuring they remain secure, reliable, and aligned with business objectives? Join engineering leaders as they discuss the frameworks, guardrails, and architectural patterns that enable autonomous AI systems to operate safely in production. Learn how leading teams balance autonomy with human oversight, implement effective governance, and build trust in increasingly capable agentic systems. Key takeaways → Determine where agents should operate independently and where human intervention remains essential. → Design guardrails, permissions, and governance frameworks that enable safe autonomy. → Build monitoring and oversight mechanisms that maintain visibility into agent behaviour and decision-making. → Balance innovation with security, compliance, and operational control as agent capabilities continue to evolve.