Who Is Excited About AI Adoption and Why?

This week on The Data Stack Show, Barry McCardel, CEO and Co-Founder of Hex, joins Eric Dodds and John Wessel to discuss the transformative impact of AI on data teams and the broader data industry. The conversation explores how AI is reshaping workflows, team structures, and the very definition of data roles, while also addressing the anxieties and opportunities that come with rapid change. Barry shares Hex’s journey from having a dedicated AI team to fully integrating AI across the product, and offers insights on industry consolidation, the infinite demand for data insights, and the importance of embracing change. Key takeaways include the need for data professionals to adapt and focus on problem-solving, the growing value of context and curation, the competitive advantage for organizations that leverage AI-driven tools and foster a culture of innovation, and so much more. 

Highlights from this week’s conversation include:

• Welcoming Back Barry to The Show (1:07)
• Discussing Change, Uncertainty, And Anxiety In Data Roles (3:13)
• Exploring Excitement And Opportunity In AI Adoption (6:20)
• Redefining Data Roles And The Infinite Demand For Insight (9:37)
• The Impact Of AI On Data Workflows And Team Mindset (12:52)
• Evolving Team Structures And The End Of The Magic Team (16:49)
• Integrating AI Into Product Development At Hex (20:44)
• Comparing Industry Approaches To AI Features (24:56)
• How AI Changes Daily Workflows For Data Teams (28:52)
• The Virtuous Cycle Of Context, Curation, And Self-Serve (32:39)
• Managing Context And Evaluating AI Agent Performance (36:52)
• The Expanding Role Of Data Professionals In The AI Era (40:45)
• Industry Consolidation And The Modern Data Stack (44:32)
• Lessons From Acquisitions And Platform Shifts (48:18)
• Key Takeaways And Looking Ahead To Future Episodes (52:16)

The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. 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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