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Suparno
Datta
Manager, Data Science & AI
AstraZeneca
Dr. Suparno Datta is Manager, Data Science & AI at AstraZeneca, where he leads the design and deployment of AI products including Recommender models and LLM-powered assistants for commercial and medical use cases. He has over a decade of experience spanning agentic AI, large language models, machine learning, and healthcare AI, with previous leadership and applied science roles at Microsoft, Fresenius Medical Care, and other technology-driven organizations. Suparno holds a Dr. rer. nat. in Computer Science from the Hasso Plattner Institute, University of Potsdam, where his research focused on machine learning for early detection and management of hypertension. His work sits at the intersection of cutting-edge AI, real-world deployment, and regulated healthcare innovation.
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15 September 2026 16:30 - 17:00
Panel | Designing for failure: How engineers build trust into agentic systems
Agent systems do not fail gracefully by default. When memory breaks, tools fail, context disappears, or models behave unpredictably, trust in the entire system quickly collapses. As autonomous workflows become more deeply embedded into enterprise operations, engineering teams are being forced to design for failure from the start, building systems that can recover, escalate, explain decisions, and operate safely under uncertainty. This panel explores how teams are approaching reliability, guardrails, fallback mechanisms, human oversight, and evaluation strategies to build agentic systems that users can realistically trust in production.