E170 - Building ML Systems with Feature Store - Jim Dowling
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. Follow us on youtube: https://www.youtube.com/@aiawpodcast
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2:18:28
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2:18:28
E169– Homo Roboticus: Behind the Scenes with Alexander Norén
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. Follow us on youtube: https://www.youtube.com/@aiawpodcast
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2:14:47
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E168 - AI Innovation at Central Bank of Sweden - Hugi Aegisberg
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. Follow us on youtube: https://www.youtube.com/@aiawpodcast
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2:17:33
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2:17:33
E167 - Practical Limitations for Agentic Business Processes - Luka Crnkovic-Friis
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
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2:37:15
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E166 - AI Agents at the Government Offices of Sweden - Magnus Enzell & Peter Nordström
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.Follow us on youtube: https://www.youtube.com/@aiawpodcast
The Artificial Intelligence After Work (AIAW) podcast is a weekly live streamed long format conversation aiming to demystify data innovation and AI, as well as their impact to future business and society by bringing the listeners close to the challenges that AI practitioners aim to solve today. The case-study, industry-by-industry, human-focused, and guest personal angle on the topic approach makes the podcast educational, emotional, engaging, and entertaining to all who are interested in learning more about AI, the future developments in the area, or simply getting exposed to variety of topics from practitioners and experts with first-hand industry experience and knowledge in the topic of the day. Hosts: Anders Arpteg & Henrik Göthberg. Program Manager: Goran Cvetanovski