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DESCRIPTION:Abstract:\n\nPharmaceutical and life-sciences organizations are
  increasingly exploring generative AI\, yet adoption remains constrained b
 y regulatory requirements\, data complexity\, and the high cost of error. 
 This talk introduces agentic AI as a practical and trustworthy paradigm fo
 r deploying generative AI in regulated\, high-stakes environments. Agentic
  AI leverages orchestrated systems of LLM-powered agents that can plan\, r
 eason\, validate outputs\, and integrate domain-specific knowledge under e
 xplicit governance and human oversight.\n\nThe session will highlight real
 -world use cases in market access analytics\, commercial decision support\
 , and life-sciences data platforms\, demonstrating how agentic workflows e
 nable faster\, explainable\, and auditable insights. Attendees will gain a
  practical understanding of how agentic AI can responsibly transform decis
 ion-making across pharma and life sciences.\n\nSpeaker(s): \, Ms. Akanksha
 \n\nVirtual: https://events.vtools.ieee.org/m/534684
LOCATION:Virtual: https://events.vtools.ieee.org/m/534684
ORGANIZER:anujdonvir@ieee.org
SEQUENCE:19
SUMMARY:Agentic AI in Pharma & Life Sciences: Designing Trustworthy Generat
 ive AI Systems for High-Stakes Decisions
URL;VALUE=URI:https://events.vtools.ieee.org/m/534684
X-ALT-DESC:Description: <br /><div><strong>Abstract:</strong><br><br>Pharma
 ceutical and life-sciences organizations are increasingly exploring genera
 tive AI\, yet adoption remains constrained by regulatory requirements\, da
 ta complexity\, and the high cost of error. This talk introduces agentic A
 I as a practical and trustworthy paradigm for deploying generative AI in r
 egulated\, high-stakes environments. Agentic AI leverages orchestrated sys
 tems of LLM-powered agents that can plan\, reason\, validate outputs\, and
  integrate domain-specific knowledge under explicit governance and human o
 versight.<br><br>The session will highlight real-world use cases in market
  access analytics\, commercial decision support\, and life-sciences data p
 latforms\, demonstrating how agentic workflows enable faster\, explainable
 \, and auditable insights. Attendees will gain a practical understanding o
 f how agentic AI can responsibly transform decision-making across pharma a
 nd life sciences.</div>\n<div>&nbsp\;</div>\n<div>&nbsp\;</div>\n<p><stron
 g>&nbsp\;</strong></p>
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