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Wednesday September 16, 2026 4:30pm - 5:15pm EDT
  • Identify where AI can—and cannot—add value across the R&D CI workflow, from monitoring emerging science, competitors, new targets and technologies to synthesizing signals and supporting strategic initiatives and partnering decisions.
  • Examine what it takes to trust AI-generated intelligence in high-stakes R&D decisions, including source validation, transparency, data quality, hallucination risk and the role of human scientific expertise in interpreting and challenging AI outputs.
  • Explore how R&D CI teams can combine AI with human judgment to move from information gathering to strategic foresight, connecting fragmented scientific and competitive signals to identify emerging opportunities, anticipate threats and help R&D leaders make better decisions.
Moderators
avatar for Rajesh Shinde

Rajesh Shinde

Partner, Life Sciences Analytics & AI, Capgemini-IBO Next

Speakers
avatar for Timothy Flood

Timothy Flood

Director Global Competitive Intelligence, Genmab

avatar for Iffat Ali, Ph.D.

Iffat Ali, Ph.D.

Senior Director, Competitive Intelligence, Gilead

avatar for Harry Yuan, Ph.D.

Harry Yuan, Ph.D.

Associate Director, Scientific & Competitive Analysis, Takeda Oncology
Harry Yuna, PhD, MBA, is the Global CI Lead of the Hematologic Oncology franchise at Takeda Oncology. His expertise covers broad disease areas including myeloproliferative neoplasms, lymphomas, leukemia, and multiple myeloma etc. As the CI Lead, he is responsible for intelligence... Read More →
Wednesday September 16, 2026 4:30pm - 5:15pm EDT
Junior Ballroom F

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