In Episode 170 of the AIAW Podcast, we’re joined by Jim Dowling, CEO of Hopsworks, co-creator of featurestore.org, and author of the upcoming O’Reilly book Building Machine Learning Systems with a Feature Store. Known as "Mr. Feature Store," Jim walks us through the evolution of AI infrastructure. From traditional batch learning to real-time, agentic workflows powered by vector databases, RAG, and LLMs. We discuss how feature stores serve as the memory layer of AI agents, enabling contextual awareness and low-latency decision-making, and why they’re central to the future of scalable, ethical, and sovereign AI systems. Tune in for a deep dive into the systems powering tomorrow’s most advanced AI applications. 

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 In Episode 169 of the AIAW Podcast, we’re joined by Alexander Norén, journalist and economics correspondent at SVT, for a behind-the-scenes conversation on Homo Roboticus—the newly released second season of SVT’s acclaimed documentary series that began with Generation AI. While the series dives into how artificial intelligence is transforming work and society, this episode goes further, tackling the political and economic implications of automation that are often left out of mainstream narratives. From Nobel laureates to tech CEOs, Alexander reflects on the conflicting visions for AI’s role in our future: will it liberate us from drudgery, or quietly reshape power and inequality? A candid and provocative discussion about jobs, basic income, AI anxiety—and the uncertain future we’re all stepping into. 

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 In this episode of the AIAW Podcast, we’re joined by Hugi Aegisberg, AI & Innovation Lead at the Central Bank of Sweden (Sveriges Riksbank), for a forward-looking conversation on how artificial intelligence is reshaping the future of central banking. From rethinking monetary policy and financial stability to building public trust through open-source AI and digital assistants, Hugi shares practical insights from inside one of the world’s oldest financial institutions. We dive into Sweden’s approach to hybrid cloud, data sovereignty, ethical AI deployment, and what it means to empower every citizen with their own AI agents. A must-listen episode at the intersection of technology, public governance, and economic transformation. 

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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. 

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In Episode 166 of the AIAW Podcast, we sit down with Magnus Enzell and Peter Nordström from the Government Offices of Sweden to explore one of the most forward-thinking public sector AI initiatives in Europe. Together, they’ve helped launch over 30 AI agents inside Sweden’s central government—digital assistants designed to support civil servants with document handling, data processing, and smarter decision-making.

We discuss the real-world impact of these agents, the lessons learned from deploying AI in a policy-heavy environment, and the balance between innovation, ethics, and trust in the public sector. From boosting daily efficiency to reshaping the future of public service work, this episode offers a rare look behind the scenes of Sweden’s digital transformation strategy.

What happens when governments start building their own AI agents? Tune in to find out.

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In this  Episode 165 of the AIAW Podcast, we are joined by Henrik Kniberg, an AI whisperer, Chief Scientist and Co-Founder of Abundly.ai, and author of Generative AI in a Nutshell, for a wide-ranging conversation about the transformative power of AI agents. With a background spanning Spotify, LEGO, and Mojang’s Minecraft, Henrik brings a rare blend of technical insight and human-centered thinking. We’ll explore his vision for Abundly.ai, how autonomous agents can boost productivity, creativity, and decision-making, and why he champions augmentation over automation. From agile AI development to the ethics of personal agency in an AI-driven world, this episode promises to be as thoughtful as it is inspiring. Don’t miss it.

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In Episode 164 of the AIAW Podcast, we’re joined by Mathias Sundin. He is a former Member of Parliament and Co-Founder of Warp News. He is joining us for a wide-ranging conversation on his upcoming book, The Fifth Acceleration and the societal transformations AI may unleash. We explore why Sweden is falling behind in AI adoption and literacy, the bold idea of free AI access for all citizens, and how public discourse around AI, including political controversies, shapes national momentum. Mathias unpacks how AI could accelerate human potential through what he calls “Practice Levels,” and shares his vision for a future where AGI, if guided ethically, empowers people rather than replacing them. Join us for an honest, forward-looking episode at the intersection of policy, optimism, and technological disruption.

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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 how combining dynamic prompt engineering with fine-tuning workflows strengthens reliability in AI agents. Along the way, we unpack the nuances of context engineering vs. prompt engineering, debate whether open-source AI models will gain or lose momentum, and examine how enterprise AI and data sovereignty shape the path to trustworthy integrations.

From “specification-first” design to real-time tracing, Göran offers a sharp look at the skills developers will need in the AI era—and how to build systems that don’t just work, but can be trusted. A forward-looking conversation on what it takes to create harmony between humans and machines, one integration at a time.

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In Episode 162 of the AIAW Podcast, we sit down with Minna Sandberg, Founder & CEO of Swenode.ai, for a deep-dive into how Sweden can strengthen its position in applied AI by building meaningful bridges with Silicon Valley. We explore the mission behind Swenode.ai and its role in enabling collaboration between Swedish startups, industry leaders, and the global tech ecosystem. Minna shares reflections on the cultural and structural contrasts between Sweden and the U.S. when it comes to AI innovation, the growing importance of “Physical & Industrial AI,” and what it takes to unlock real-world value from cutting-edge technologies. We also touch on Swenode.ai’s strategic collaboration with NVIDIA and Dell Technologies, how to spot high-potential AI startups, and why diversity, ethics, and public trust will define the future of AI adoption. A thoughtful and timely conversation on building not just AI systems, but the ecosystems and values around them.

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 In this episode, we’re joined by Luis Martínez, AI Compliance Expert at Assa Abloy, for a thought-provoking conversation on one of the most urgent topics in the field: the responsible use of AI. With a background in telecommunications and regulatory affairs, Luis brings a unique perspective to the challenges of building trustworthy AI systems inside complex, global organizations. We explore what it actually means to be AI compliant in practice, how harmonized standards and certifications can accelerate adoption, and why AI governance needs to evolve beyond checkboxes into something more agile and integrated. Luis also shares his views on regulatory sandboxes, the contrasting approaches of the US and the EU, and the ethical dilemmas that loom as AI systems grow more capable. Finally, we look ahead to the possible future of Artificial General Intelligence—will it usher in a dystopian surveillance state or a utopia of human creativity and abundance? A must-listen for anyone navigating the intersection of AI, policy, ethics, and enterprise transformation. 

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