Data for Dummies: A Crash Course for Non-Tech...

What happens when a single-product company decides to build a second—or a third—without unraveling the success of the first? The leap from one product to many rarely doubles the complexity; it multiplies it. Product leaders suddenly face sharper trade-offs: when to place bold bet ...  Show more

Finding product–market fit isn’t the finish line—it’s base camp. In this episode, Hannah Clark sits down with Amit Shah, COO of Virta Health, to unpack what really happens after you’ve “made it” and the mountain suddenly gets steeper. Virta is scaling a fully virtual metabolic he ...  Show more

We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.We’re often caught chasing the dream of “self-serve” data—a place where data empowers stakeholders to answer th ...  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 ...

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

Data is pouring into your business every second, but where are the insights you need to act on it? Just 27% of business executives in a recent Forrester study said their data and analytics projects produce actionable insights. 

In this ep ...