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Norrin Pod

The Norrin Pod explores how Enterprise AI is changing the way people and businesses work—and how to build it with purpose.

Norrin Pod

Podcast about AI, business and data

Norrin Pod dives into the ways AI and technology are reshaping everyday decision-making, operations, and productivity. Data, applications, and information flow all have their role, but we also surface perspectives often lost in tech talk: How does AI impact people? What needs to happen for productivity gains to materialize in daily leadership? Why do projects succeed or fail?

The conversations are grounded in real-world experience and a deep understanding of everyday business and technology. You’ll hear from domain experts who speak plainly about both the challenges and the solutions. The podcast is hosted by Jouni Heikniemi, Norrin’s Head of Offering and a long-time IT thought leader.

If you want to go beyond the surface and truly understand how AI can transform work life and drive productivity, this podcast is for you.

Please note that the episodes are in Finnish.

Listen the episodes

  • #3 How to Lead the AI Transformation?

    What kinds of goals should you set for your AI strategy? Why do change management and an AI CoE play decisive roles in achieving a successful AI transformation? In this episode, Norrin’s CEO, Seppo Kuula, joins as a guest to share his tips for succeeding in an AI transformation.

     

  • #2: Why Should Business Care About Data Products?

    Title, purpose, and owner. Why are these the key things to define in any data product? In this episode, Norrin’s Design and Governance Lead Sanna Uusimäki explains what a good data product really requires, and how the entire business can benefit from it.
  • #1: What is the Agentic Workforce?

    What kind of tasks should we assign to agents? And why is their time right now? 

    This episode features Emil Sievinen, Norrin’s Technology Director of Applied AI, who breaks down what AI agents can realistically do, where they fit in everyday operations, and what are their limitations.

     

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