Introduction

The first industrial deployments of machine learning and artificial intelligence solutions were bespoke by definition and often had brittle operating characteristics.  Almost no one builds custom databases, web servers, or email clients.  Yet technology groups today often consider developing homegrown ML and data solutions in order to solve their unique use cases.  Today’s modern data stack is a patchwork of interconnecting tools built to suit a variety of personas that need to interact with the data in notably different ways.

In this episode, I speak with Leigh Marie Braswell, an Investor with Founders Fund.  We have a wide-ranging discussion about the technology landscape of data and machine learning solutions and the modern enterprise data stack.

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