Agentic AI in Pharma & Life Sciences: Designing Trustworthy Generative AI Systems for High-Stakes Decisions
Pharmaceutical and life-sciences organizations are increasingly exploring generative AI, yet adoption remains constrained by regulatory requirements, data complexity, and the high cost of error. This talk introduces agentic AI as a practical and trustworthy paradigm for deploying generative AI in regulated, high-stakes environments. Agentic AI leverages orchestrated systems of LLM-powered agents that can plan, reason, validate outputs, and integrate domain-specific knowledge under explicit governance and human oversight.
The session will highlight real-world use cases in market access analytics, commercial decision support, and life-sciences data platforms, demonstrating how agentic workflows enable faster, explainable, and auditable insights. Attendees will gain a practical understanding of how agentic AI can responsibly transform decision-making across pharma and life sciences.
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- Starts 27 January 2026 05:00 AM UTC
- Ends 27 February 2026 07:00 PM UTC
- No Admission Charge
Speakers
Ms. Akanksha
Akanksha Anand is an IEEE Senior Member and an accomplished leader in AI and data science, specializing in the application of artificial intelligence to healthcare, pharmaceuticals, and the life sciences. She currently serves as the Project Lead & has served in the Partnership Operations lead role at CustomerInsights.AI, a distinguished company in AI-driven life sciences analytics, where she leads transformational initiatives across market access analytics, causal modeling, and enterprise AI platforms. Her work has directly contributed to scalable, production-grade solutions used by pharmaceutical and biotech organizations to drive high-impact commercial and strategic decisions.
Ms. Anand is the creator of award-winning AI innovations, including iLenz, an AI-based retinal screening system recognized at national AI competitions, and has authored multiple widely read publications on AI, causal inference, and advanced analytics. She has been invited to serve as a judge for prestigious technology competitions such as HackPrinceton and other national forums, reflecting peer recognition of her expertise. Through her technical leadership, scholarly contributions, and professional service, Ms. Anand continues to advance the responsible and practical adoption of AI in regulated, high-stakes environments.