Modern tech has made incredible progress — but outcomes still lag. Whether you're leading a large system or a lean regional health organization, the challenge is the same: how do you move from data to decisions to measurable results… without burning years and millions

Join us for this insightful discussion. You’ll leave with a clearer view of how to make smarter bets on your future — and what real organizations are doing to get faster ROI from AI and analytics.

  • Learn how leading systems are driving results — not just implementing tech
  • Understand what makes healthcare transformation hard — and how to break through
  • Get clarity on whether to build, buy, or partner to move forward faster
  • Hear from two trusted names: Databricks (tech powerhouse) + Health Catalyst (healthcare experts)

*Continuing Education Credits (CEUs) are not provided for this webinar.


Featured Speaker

Mark Lee

Sr. Industry Solutions Director, Databricks

Mark is the Databricks Industry ecosystem GTM leader for Healthcare and Life Sciences. He has been a Brickster for four and a half years and is a recognized leader in Healthcare and Life Sciences. In his previous life, he was a researcher who worked in malaria and proteomics at Baylor College of Medicine. He has over two decades of experience in health and life sciences information systems as well as drug discovery.

Featured Speaker

Daniel Samarov

Chief AI Officer

Daniel Samarov is a seasoned leader in data science and artificial intelligence, currently serving as the Chief AI Officer at Health Catalyst, a prominent provider of data and analytics technology for healthcare organizations. In this role, he spearheads AI strategy and innovation, aiming to accelerate data-informed outcomes in healthcare. ‍ Before his tenure at Health Catalyst, Daniel held the position of Vice President of Data Science and Analytics at Twistle, a patient engagement platform that became part of Health Catalyst. During his time there, he focused on enhancing patient engagement through AI-driven solutions. With over 15 years of experience in the field, Daniel has consistently combined deep domain expertise with cutting-edge AI to drive meaningful impact in healthcare.

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