Mount Sinai's Enterprise Data Blueprint for Success

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Presented by

Kurt Muehmel, Mike Berger

About this talk

In this Everyday AI session with Mike Berger (VP, Chief Data and Analytics Officer, Mt. Sinai Health Partners) and Kurt Muehmel (Chief Customer Officer, Dataiku), hear how Mt. Sinai has been able to move from theory to practice when it comes to scaling AI initiatives — touching on data platforms and quality, data literacy, and analytics-as-a-service. Speaker: Mike Berger, CDAO, Mount Sinai Mike has the dual role as Chief Data and Analytics Officer for Mount Sinai Health Partners as well as system vice president of Enterprise Data Services. Mike leads the development and implementation of Sinai’s modern data strategy including architecture, data and analytics platforms, move-to-cloud, governance and provides Analytics-as-a-Service to our enterprise. He also oversees the actuarial and clinical analytics and data science teams which support our population health enterprise. He is a trained data scientist and serves as an adjunct professor of healthcare analytics for Rutgers MBA program and Icahn School of Medicine’s MHA program. Moderator: Kurt Muehmel, Chief Customer Officer, Dataiku Kurt Muehmel is the Chief Customer Officer at Dataiku, ensuring that new and current customers achieve great outcomes and have an outstanding experience. His responsibilities encompass customer success, global services, business transformation, and customer operations departments. Having partnered with clients of all sizes and across a multitude of sectors, Kurt has a deep understanding of the challenges and opportunities for businesses looking to increase the value they are deriving from their data, with everyday AI. Without you, it's just data. Learn more at https://www.dataiku.com/without-you/ CHECK OUT DATAIKU: https://bit.ly/36XBlpK
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Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.