AI Summit

An artificial intelligence conference about AI solutions for pharma and medical devices.

There are so many reasons to attend, but here are some of the highlights:

Engage with global regulators and industry experts for open, candid conversations on the most critical issues

Be a part of the open discussions to identify and overcome hurdles, implement solutions, and pave a path forward for the betterment of patient care through our use of AI

Participate with our AI working teams and provide input regarding their projects, deliverables, and upcoming research

Collaborate with thought-leaders, industry experts, and officials from the U.S. Food and Drug Administration to build trust in AI systems and between AI stakeholders

Advance the industry by exploring best practices, use-cases, lessons learned, and actionable solutions

Build bridges to different ideas and concepts, and come away with action items, plans and solutions to launch and advance AI capabilities

The AI Summit — the Place to be in Healthcare AI this year.

Past Speaker Highlights

The 2023 speaker line-up will be announced soon. Please explore the 2022 speaker list to get an idea of what to expect in Cincinnati.

Bakul Patel

Bakul Patel

Senior Director, Global Digital Health Strategy & Regulatory, Google

Toni Manzano

Co-founder and CSO, Aizon

Pat Baird

Regulatory Head of Global Software Standards,
Philips

Jesse M. Ehrenfeld

President-Elect, American Medical Association

Jeff Ballyns

Associate Director Regulatory Policy, BD

Sundar Selvatharasu

Chief Compliance Officer – GxP Operations, Sierra Labs

Ling Koh

Regulatory Affairs Manager, BD

Eric Henry, King & Spalding

Eric Henry

Senior Quality & Regulatory Compliance Advisor, FDA & Life Sciences Practice, King & Spalding

explore the speaker list

Hot Topics from last Year

The 2023 program line-up will be announced soon. Explore to get an idea of what to expect in Cincinnati.

1

QMS Case Study – A Real-World Experience Aligning AI/ML Activities with a Compliant QMS

2

Current AI Global Regulatory and Standards Landscape

3

Lessons Learned:
Bringing an
AI-Enabled Device to Market Through a Pandemic

4

Lessons Learned and Pitfalls When Deploying AI in GxP Environments

5

How AI Can Be Used in
3D Printing & Smart Manufacturing

6

Learn What the Industry-Led AI Working Teams Have Been Up To

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