In this episode, Sean and Leslie chatted with Miguel Alvarado, CTO at Lumiata, a company on the cutting edge of enabling ML & AI for healthcare organizations, about how data science is moving the needle in the healthcare industry, as well as what organizations should be looking for when it comes to AI & ML centric data teams.

In this episode, we learn from Harry's data analyst William Knighting and Ascend.io's Sheel Choksi how the Harry's data science team recently undertook an effort to expedite ingesting, transforming, and delivering new retail data feeds into a robust shared data model that connects all brand information across every retail delivery model.

In this episode, we chat with Sheel Choksi about his path to data engineering, and what he's seen as the biggest regrets data engineers have as they're building out their systems—as well as how to avoid those regrets.

In this episode, we chat with Jesse Anderson, managing director of the Big Data Institute and author of the new book Data Teams (available at datateams.io), about the growth and change of data teams. We chat about best (and worst) practices for how data engineers, analysts, and scientists can work together now and in the future.

In this episode, we sat down to chat about Ascend.io's new Flex Code data connectors and how they will help organizations speed—and simplify—data ingest for Spark-based data systems.

In this inaugural episode, we chatted with Ascend.io's founder and CEO, Sean Knapp, about the trends we've been seeing in the data engineering realm, as well as the shift the data engineering function has taken over the last several years.