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#535: Unlock AI's Full Potential: The Power of FAIR Data
Tuesday June 16, 2026 1:45pm - 3:00pm EDT
119AB
Component Type: Session
Level: Intermediate
CE: ACPE 1.25 Application UAN: 0286-0000-26-574-L04-P; CME 1.25; RN 1.25

AI underperforms when data isn’t machine-actionable. This talk shows how FAIR + open standards turn fragmented R&D data into fuel for LLMs and analytics—via a mini-rubric, case studies, and a 90-day roadmap to lift AI-readiness.

Learning Objectives

Apply a mini-FAIR rubric to one dataset/document to diagnose AI-readiness and summarize 2–3 priority gaps; Recognize and select the appropriate standards—such as PIDs, metadata, controlled vocabularies, that best enable a target AI use case (e.g., RAG, model reuse); Recognize the key components of a 90-day plan—including roles, metrics, checkpoints—designed to elevate FAIR maturity and improve AI outcomes.

Chair

Anuj Uppal, MS

Speaker

AI Readiness Organizational Barriers
Kathleen Rand, PHARMD

AI Readiness: A Statistical View
Kaveen Hiniduma

The FAIR Principles: 10 Years Later
Ted Slater, MA, MS


Speakers
KH

Kaveen Hiniduma

Graduate Research Associate, Ohio State University, United States
KR

Kathleen Rand

Principal Scientist, Procter & Gamble, United States
avatar for Ted Slater

Ted Slater

Global Head, Knowledge Engineering & Data Advisory, EPAM Systems, United States
My work focuses on FAIR Data and the application of semantic technologies and artificial intelligence to scientific problems in pharmaceutical R&D and related fields. I am a molecular biologist and a computer scientist.
AU

Anuj Uppal

Vice President, Life Sciences Transformation, Campana & Schott, United States
Anuj Uppal is a data scientist and AI product leader at Campana & Schott who builds intelligent platforms that transform how life sciences organizations assess data readiness. His creation, DATA Compass, challenges the industry assumption that "clean data" equals "AI-ready data"—a... Read More →
Tuesday June 16, 2026 1:45pm - 3:00pm EDT
119AB The Pennsylvania Convention Center 1101 Arch Street Philadelphia, PA 19107 USA
  03: Data-Tech-AI, Session

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