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 exp...
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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 exp...
E163 - Reliable AI systems at scale - Göran Sandahl
AIAW Podcast
2 hours 9 minutes
1 month ago
E163 - Reliable AI systems at scale - Göran Sandahl
In Episode 162 of the AIAW Podcast, we’re joined by Göran Sandahl, Co-Founder of Opper AI, to explore the future of building reliable AI systems at scale. Göran shares his journey from observability engineering to co-founding Opper AI, a company tackling one of the most urgent challenges in enterprise AI: making LLM-based features predictable, testable, and production-ready. We dive into Opper’s structured API approach, the strategic vision behind their recent acquisition of FinetuneDB, and h...
AIAW Podcast
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 exp...
