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

Most large organizations have bought into AI, yet far fewer have turned it into measurable value. Surveys of thousands of business leaders show the same pattern: spending on technology is up, while investment in data foundations, process redesign, and people lags behind. For data ...  Show more

AI agents are only as useful as the data they can reach, and most company data is scattered across clouds, data centers, and legacy systems. Giving agents access is easy to get wrong, especially when the data includes salaries, customer records, or financial results. That's why g ...  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