The Man Behind the Mic.
AI-podden
In this special summer episode, we do something a bit different. Our usal host Ather Gattami steps into the guest seat and is interviewed by close friend; Joseph Michael, Venture Partnerships at Google. Ather shares his journey from PhD researcher to leading Sweden’s top AI podcast. He reflects on AI’s evolution, the shift from theory to compute-driven progress, and why reasoning and real-world learning are the next big steps. Ather urges everyone to embrace AI tools or risk falling behind and shares his excitement about trends like agentic AI - while reaffirming that his true...
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AI-Podden News - June (with Anders Arpteg)
AI-podden
In this episode, Ather Gattami and one of our favourite guests; Anders Arpteg, Head of AI and Data at GlobalConnect, explore Meta’s shifting AI strategy, including its investment in Scale AI amid doubts about LeCun’s JEPA model and LLaMA 4 performance. They compare Tesla’s vision-based Robotaxi rollout to Waymo’s sensor-heavy approach, highlighting Tesla’s edge in scalability and real-world data. They also dive into Apple’s “Illusion of Thinking” paper, questioning whether today’s LLMs genuinely reason or simply excel at recall, and discuss the need for...
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How Nordic Companies Are (and Aren’t) Using AI
AI-podden
In this week's episode, special guest; Eva Fors, Managing Director at Google Cloud Nordics returns to the podcast. Eva and our host, Ather Gattami look at how companies in the region are shifting from AI pilots to real deployments, with leaders like Klarna, EasyPark, and Bonnier News using generative AI in areas like customer engagement, M&A, and personalization. While adoption is growing, Eva notes traditional industries are slowed by governance and execution gaps rather than tech limitations. She emphasizes the importance of treating data as a key asset and sees major potential for AI in...
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Driving Intelligence: AI on the Road
AI-podden
In this episode, Stephen Jenkins, VP of Technology Strategy at Magna Electronics, shares practical insights into how AI is reshaping the automotive industry - from cutting development timelines with synthetic data to building smarter, more efficient autonomous parking systems. He explores the challenges of trust, safety, and explainability in AI, the current state of self-driving technology, and why full autonomy may be closer than we think.
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AI-Podden News - May (with Anders Arpteg)
AI-podden
In this week's episode, we host one of our favourite guests; Anders Arpteg, Head of AI and Data at GlobalConnect, to discuss how AI could enable “single person unicorns” by handling core business functions, based on his keynote at the Data Innovation Summit. The episode also explores leadership shifts at Meta and OpenAI, the growing divide between research and product focus, and a promising new approach to training AI without human data, inspired by AlphaZero.
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Building AI That Actually Works
AI-podden
In this week's episode, Ather chats with Magnus Hambleton, investor at byFounders and former data lead at Natural Cycles. Magnus has successfully applied transformers to improve fertility predictions in a medical setting. As an investor, he focuses on agentic AI and backs startups slightly ahead of what’s currently possible, betting on near-future model capabilities. He remains cautious about LLMs’ reliability and generalization, believing new architectures may be needed for AGI. While big tech is dominant, he sees room for startups in complex, workflow-driven applications.
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Where Science Meets AI
AI-podden
In this episode, Salla Franzén, Investment Manager at Navigare Ventures, returns to AI-Podden to explore how AI accelerates discovery in fields like life sciences and neuroscience. She unpacks the risks of tech hype, the need for explainable, trustworthy AI, and the importance of tools that bridge disciplinary gaps. Salla also shares insights on scientific investing, technical depth, and improving EU funding processes.
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What AI Can’t Do (Yet)...
AI-podden
In this week's episode we host John Lamb, Solutions Lead AI & Analytics at TietoEvry. John emphasises that while tools like LLMs are useful for automating repetitive tasks such as code generation or data prep, they fall short when it comes to reasoning and interpreting structured data. He explains that data cleaning still dominates much of a data scientist’s time and that current AI tools, though helpful, cannot yet be trusted for end-to-end analysis. John also discusses why he believes AGI is still years away, requiring a fundamental shift in technology, and shares practical advice for...
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AI, War, and the Human Touch
AI-podden
In this episode, we host special guest; Senior Business and Tech Correspondent at SVT and author, Alexander Norén. We discuss how AI is transforming warfare, especially through autonomous drones and decision-making systems, as explored in his documentary AI War. Alexander also reflects on AI’s impact on jobs, arguing that human-made work will gain value in the future. The conversation ends with concerns about AI-driven misinformation and the importance of trustworthy, human-centered journalism.
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The AI Revolution: Industry Disruption, Investment Shifts, and Future Challenges
AI-podden
In this episode we speak to Anders Indset, a philosopher, deep tech investor, and best-selling author. We discuss AI’s real-world impact, emphasizing Large Quantitative Models (LQMs) that optimize industry-specific data in fields like healthcare, finance, and logistics. Anders critiques Europe’s cautious investment culture, advocating for a bolder approach in AI-driven sectors. Inset stresses the need for balanced AI regulation to foster innovation while addressing global challenges like climate change.
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