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Episode 236:

Ringing Out the Old: AI’s Role in Redefining Data Teams, Tools, and Business Models

April 9, 2025

This week on The Data Stack Show, Eric and John explore the transformative impact of artificial intelligence (AI) on technology and business. They discuss AI’s rapid advancements, drawing parallels to historical shifts like e-commerce. The conversation explores the future of roles within companies, particularly in data management and SaaS products, and considers the broader implications for business operations. They also touch on the changing landscape of data roles, the accessibility of AI-driven services, the potential for AI to democratize high-value services and reshape industries, and more.

Notes:

Highlights from this week’s conversation include:

  • The Impact of AI (1:25)
  • Historical Context of Technology (2:31)
  • Pre-existing Infrastructure for Change (4:42)
  • AI as a Personal Assistant (7:10)
  • Future of Company Roles (9:13)
  • Managing Teams in a Dystopian AI Future (12:31)
  • Business Architecture Choices (15:52)
  • Integration Tool Usage (18:07)
  • AI’s Impact on Data Roles (21:53)
  • AI as an Interface (24:04)
  • Trust in AI vs. SQL (27:12)
  • Snowflake’s Acquisition of Dataflow (29:54)
  • Regression to the Mean Concept (33:49)
  • AI’s Role in Data Platforms (37:04)
  • User Experience in Data Tools (44:41)
  • Future of Data Tools (46:57)
  • Environment Variable Setup (51:10)
  • Future of Software Implementation and Parting Thoughts (52:10)

 

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

About the Podcast

Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

To keep up to date with our future episodes, subscribe to our podcast on Apple, Spotify, Google, or the player of your choice.

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