Sep 25

1030: Garbage In, Gospel Out: Why Agents Need Better Data, with Salesforce's Gaurav Pathak

During their #sponsored discussion, Senior Vice President Product Management AI and Metadata at Salesforce, Gaurav Pathak talks to Jon Krohn about why AI agents need well-labeled, high-quality data to deliver reliable answers in the enterprise. Listen to the episode to hear Gaura ... Show More

22m 53s

Sep 22

1029: How AI Brought a Podcast Back From the Dead, with Linear Digressions’ Katie Malone

In Episode #1029, Dr. Katie Malone (Host of Linear Digressions) joins Jon Krohn to explain how AI brought her podcast back from the dead. After nearly 300 episodes, Katie shut down Linear Digressions due to burnout, but better tools helped her relaunch it six years later. Along t ... Show More

1h 10m

Sep 18

1028: The Chip Built for Agentic AI Inference, with SambaNova's Anton McGonnell

In Episode #1028, Anton McGonnell (VP of Product at SambaNova) joins Jon Krohn to explain why the chips running most AI inference today were never designed for the job. Agentic AI has changed the computational profile of inference, with much larger inputs and far heavier caches f ... Show More

29m 39s

Jul 2024

Achieving Data Reliability: The Role of Data Contracts in Modern Data Management

Summary Data contracts are both an enforcement mechanism for data quality, and a promise to downstream consumers. In this episode Tom Baeyens returns to discuss the purpose and scope of data contracts, emphasizing their importance in achieving reliable analytical data and prevent ... Show More

49m 26s

Mar 2021

Data Quality Management For The Whole Team With Soda Data

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Data quality is on the top of everyone’s mind recently, but getting it right is as challenging as ever. One of the contributing factors is the number of people who are involved in the process and the potential impa ... Show More

58 m

Jul 2021

Strategies For Proactive Data Quality Management

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Data quality is a concern that has been gaining attention alongside the rising importance of analytics for business success. Many solutions rely on hand-coded rules for catching known bugs, or statistical analysis of rec ... Show More

1h 1m

Jan 2025

Breaking Down Data Silos: AI and ML in Master Data Management

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

57m 30s

Aug 2024

The Evolution of DataOps: Insights from DataKitchen's CEO

Summary In this episode of the Data Engineering Podcast, host Tobias Macey welcomes back Chris Berg, CEO of DataKitchen, to discuss his ongoing mission to simplify the lives of data engineers. Chris explains the challenges faced by data engineers, such as constant system failures ... Show More

53m 30s

Mar 2020

What exactly is "data science" these days? (Practical AI #80)

Matt Brems from General Assembly joins us to explain what "data science" actually means these days and how that has changed over time. He also gives us some insight into how people are going about data science education, how AI fits into the data science workflow, and how to diff ... Show More

48m 40s

Oct 2025

Context Engineering as a Discipline: Building Governed AI Analytics

SummaryIn this episode of the Data Engineering Podcast, host Tobias Macey welcomes back Nick Schrock, CTO and founder of Dagster Labs, to discuss Compass - a Slack-native, agentic analytics system designed to keep data teams connected with business stakeholders. Nick shares his j ... Show More

51m 58s

Nov 2021

Data Quality Starts At The Source

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>The most important gauge of success for a data platform is the level of trust in the accuracy of the information that it provides. In order to build and maintain that trust it is necessary to invest in defining, monitori ... Show More

58m 55s

Feb 2023

#125 Building Trust in Data with Data Governance

Perhaps the biggest obstacle to establishing a data culture is building trust in the data itself, making it vital for organizations to have a robust approach to data governance to ensure data quality is as high as possible.Enter Laurent Dresse, Data Governance Evangelist and Dire ... Show More

41m 20s

Mar 2023

#131 How the Aviation Industry Leverages Data Science

Data leaders play a critical role in driving innovation and growth in various industries, and this is particularly true in highly regulated industries such as aviation. In such industries, data leaders face unique challenges and opportunities, working to balance the need for inno ... Show More

35m 53s

825: Data Contracts: The Key to Data Qua...