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Running an AI Transformation Initiative

Thursday, September 11, 11 AM ET

Key Takeaways

  • Learn how to prioritize AI use cases and build transformation teams.
  • Understand the infrastructure, processes, and talent needed to scale AI.
  • Discover how to track progress and measure the ROI of AI transformation.

Your Presenter(s)

Keri McCrensky headshot

Keri McCrensky

VP for Digital Transformation in Healthcare at EXL

Keri has two decades of experience as a healthcare, analytics, and digital transformation leader. Her role involves a mix of business development, go-to-market, and thought leadership as she assists clients to adopt AI solutions for healthcare. Previously, Keri was Senior Manager for Clinical Transformation at PwC.

Grace Anderson headshot

Grace Anderson

Global VP of Generative AI & Digital Adoption at Sodexo

Grace helps global organizations harness the power of Generative AI responsibly and effectively. She has over 20 years of experience in AI, data, and enterprise technology, with a focus on turning emerging technology into business value. Previously, Grace was a transformation executive at Nissan, BAE Systems, and Unilever.

Why this matters

Successfully adopting AI at scale requires more than a few promising pilots—it takes a coordinated, cross-functional effort. From prioritizing use cases to aligning infrastructure and talent, organizations must lay a strong foundation to make AI transformation a repeatable, measurable success.

In this panel interview, Keri McCrensky, VP for Digital Transformation in Healthcare at EXL, and Grace Anderson, Global VP of Generative AI & Digital Adoption at Sodexo, will share how they’ve led enterprise-wide AI initiatives. You’ll learn how to set up the right teams and processes, measure progress, and avoid common pitfalls on the path to AI maturity. This session is ideal for leaders looking to drive lasting organizational change through AI.

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