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Suparno
Datta
Manager, Data Science & AI
AstraZeneca
Suparno Datta is Manager, Data Science & AI at AstraZeneca, where he applies machine learning and artificial intelligence to accelerate scientific research and drug development. His work focuses on building production-ready AI and data science solutions that help translate complex biomedical data into actionable insights across the pharmaceutical R&D lifecycle. With a PhD in Machine Learning, Suparno has experience developing predictive models, leading cross-functional AI initiatives, and applying advanced analytics to solve real-world scientific and business challenges. His interests span applied machine learning, generative AI, MLOps, and deploying AI responsibly within highly regulated environments.
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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.