Save the dates:
Our 11th CDAO Summit: June 11
2nd Chief AI Officer Summit: June 12
VIDEO: "Data & Analytical Insights from Healthcare and Medical CDAOs at BigID, Bon Secours, Dana-Farber Cancer Institute, HCSC, McKesson"
Due to popular demand, I am thrilled to release videos of all sessions from our 10th CDAO Summit and the world's first-ever Chief AI Officer Summit from December 2023, hosted by the D'Amore-McKim School of Business and the Institute for Experiential AI at Northeastern University in Boston MA.
The penultimate panel of the CDAO Summit was on "Data and Analytical Insights from Healthcare and Medical CDAOs," moderated by Peggy Tsai, Chief Data Officer at BigID. Peggy is a Global Top 100 Innovator in Data & Analytics, serves as Adjunct Faculty at Carnegie Mellon University, is Podcast co-host of Data Transformers, and is the co-author of The AI Book.
To view that video and all videos from our 10th CDAO Summit click the link above or the image below>
Peggy curated an incredible group of experts and fellow CDAOs for this session:
Peggy Tsai: Chief Data Officer, BigID (moderator)
Jason Johnson: Chief Data and Analytics Officer, Dana-Farber Cancer Institute
Phanii Pydimarri: Head of Strategic Planning & Partnerships, Enterprise Data & AI Solutions Group, Health Care Service Corporation (HCSC)
Shahidul Mannan: Chief Data Officer, Bon Secours Mercy Health
Yazhene Krishnaraj: Head of Decision Intelligence, U.S. Pharmaceutical, McKesson
Panelists explored the latest trends and participants gained insights in data and analytics from healthcare and medical technology CDAOs. They discussed the importance of building data cultures and talent pipelines, as well as the challenges that the healthcare field faces in the future.
Participants learned specific best practices in building out data and analytic programs to make their initiatives successful.
After the panel, Peggy posted this re-cap on a LinkedIn post:
✏️ Change management is hard in clinical trials and processes- asking people to go beyond their role or change the steps is part of the culture change
✏️ Definition of a “patient” is standardizing other terminologies is still an ongoing exercise. While data maturity is high in terms of utilization of analytics, governance maturity is low due to lack of processes and capabilities like a catalog
✏️ Innovation and value are two sides that need to be carefully balanced in the healthcare industry. While there are many potential opportunities realized with GenAI and new technologies, it needs to be balanced.
We are embedding the videos from each session on our blog post re-caps below - so stay tuned:
* 10th CDAO Summit re-cap: <-- Check out Peggy's panel and other videos here * 1st Chief AI Officer Summit re-cap <-- videos coming next week!
As Axios reported in DC's Hottest New Job: The Chief AI Officer, "Hundreds of agencies across the federal government are scrambling to find more than 400 chief AI officers by the end of the year. Why it matters: The requirement, one of the edicts of President Biden's recent AI executive order, aims to make sure every arm of government has a top exec who is ready to deal with AI. Driving the news: The Office of Management and Budget has released guidance to federal agencies on how to implement Biden's AI executive order — and how to hire a chief AI officer (CAIO) is on top of that list. The Executive Office of the President is also required to hire a Chief AI Officer."
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"Data & Analytical Insights from Healthcare and Medical CDAOs" panel moderated by Peggy Tsai, Chief Data Officer at BigID at the 10th CDAO Summit.
Hosted by the Institute for Experiential AI at Northeastern Univ (12/13/24)
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