#244 Using Data to Optimize Costs in Healthca...

Hypergrowth companies rarely scale on strategy alone — they scale on how fast decisions get made and how much risk employees feel safe taking. A recurring idea in high-growth environments is treating decisions differently depending on whether they're reversible, and rewarding peo ...  Show more

Across the data and AI industry, infrastructure that once served dashboards and human analysts is being rebuilt to serve autonomous agents instead. That shift changes what "AI-ready data" actually means, pushing teams to rethink documentation, governance, and the semantic layer s ...  Show more

What if one of healthcare’s most complex administrative challenges—revenue cycle management—was reframed as a data science problem? In this episode, Malinka Walaliyadde, cofounder and CEO of AKASA, joins Julie Yoo to unpack how large language models have the potential to trans ...

Today's guest is Ylan Kazi, Chief Data and AI Officer at Blue Cross Blue Shield North Dakota. Ylan returns to the program today to surmise the progress in new generative AI tools and LLMs over the past two years. We examine the new challenges they pose in the healthcare indust ...

Summary In this episode of the Data Engineering Podcast Dan Bruckner, co-founder and CTO of Tamr, talks about the application of machine learning (ML) and artificial intelligence (AI) in master data management (MDM). Dan shares his journey from working at CERN to becoming a data ...  Show more

<span data-preserver-spaces="true">Today's guest is Ylan Kazi, Chief Data and AI Officer at Blue Cross Blue Shield of North Dakota. Ylan returns to the show to discuss the latest developments in AI adoption within healthcare. The conversation explores key obstacles, including ...