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The Data Stack Show
Rudderstack
493 episodes
1 week ago
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.
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Technology
Education,
Business,
Management,
How To
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All content for The Data Stack Show is the property of Rudderstack and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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.
Show more...
Technology
Education,
Business,
Management,
How To
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Re-Air: Ringing Out the Old: AI's Role in Redefining Data Teams, Tools, and Business Models
The Data Stack Show
53 minutes 10 seconds
3 weeks ago
Re-Air: Ringing Out the Old: AI's Role in Redefining Data Teams, Tools, and Business Models
This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. 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.
The Data Stack Show
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.