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Leonardo
D'Ambrosi
Principal Data Scientist
Bayer
Leonardo is a Principal Data Scientist at Bayer, focused on applying advanced data science and AI techniques to solve complex challenges across enterprise and scientific environments. With expertise spanning machine learning, analytics, and large-scale data systems, he works at the intersection of data, technology, and business transformation. Leonardo specializes in translating technical innovation into practical, production-ready solutions that drive operational efficiency, scalability, and measurable impact across global organizations.
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15 September 2026 12:00 - 12:30
Panel | Why do agent systems break in production? The gap between design and reality
Agent systems are hitting real production limits - unreliable tool calls, broken workflows, context loss, unpredictable decision-making, and systems that become difficult to debug once autonomy increases. As enterprises push agents beyond prototypes and into live environments, many are discovering that orchestration, observability, permissions, and reliability become significantly harder at scale. This panel explores the gap between agent design and production reality, unpacking the operational and architectural challenges emerging as autonomous systems move into enterprise deployment.