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In this episode, Luka Crnkovic-Friis, Head of AI/ML at King (Microsoft), joins us for a sharp, honest look at the real-world challenges of deploying agentic AI systems at scale. Drawing from his experience leading AI innovation at the company behind Candy Crush, Luka unpacks the practical bottlenecks of integrating reasoning models and autonomous agents into business processesfrom accuracy trade-offs and productivity pitfalls to the psychological complexities of human-AI collaboration. We explore the shift from System 1 to System 2 AI, the rising need for contextual understanding, and how Reinforcement Learning could unlock the next phase of enterprise automation. If you’re navigating LLMs, decision-making agents, or the evolving AI workplace, this is your must-listen guide to what’s possible—and what’s still holding us back.
Follow us on youtube: https://www.youtube.com/@aiawpodcast
By HyperightIn this episode, Luka Crnkovic-Friis, Head of AI/ML at King (Microsoft), joins us for a sharp, honest look at the real-world challenges of deploying agentic AI systems at scale. Drawing from his experience leading AI innovation at the company behind Candy Crush, Luka unpacks the practical bottlenecks of integrating reasoning models and autonomous agents into business processesfrom accuracy trade-offs and productivity pitfalls to the psychological complexities of human-AI collaboration. We explore the shift from System 1 to System 2 AI, the rising need for contextual understanding, and how Reinforcement Learning could unlock the next phase of enterprise automation. If you’re navigating LLMs, decision-making agents, or the evolving AI workplace, this is your must-listen guide to what’s possible—and what’s still holding us back.
Follow us on youtube: https://www.youtube.com/@aiawpodcast

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