AIAW Podcast

In Episode 173 of the AIAW Podcast, we close out Season 11 with a festive and future-focused Christmas & Year-End Special—and you're invited. Together with surprise guests Patrick Couch, Jesper Fredriksson, and Fredrik Olsson, we look back at the AI rollercoaster that was 2025: from breakthroughs in model development and enterprise AI maturity to the biggest twists in tech and regulation. We also look ahead to 2026, sharing bold predictions, strategic challenges, and the trends that could define the next wave of AI transformation. Equal parts serious and celebratory, this episode is the perfect way to reflect, recharge, and reset for what’s next. Grab something festive and tune in to the grand finale of Season 11. Follow us on youtube: https://www.youtube.com/@aiawpodcast

We explore how to scale in the age of AI without drowning in complexity, moving from one-off pilots to reusable platforms, and from efficiency-only thinking to adaptability, trust, and aligned autonomy. Helena Hörnerbrandt shares enterprise-tested principles that travel across 65+ markets, plus a real ABS rollout that shows product over project in action.• deepfake demo as a visceral risk signal• value-led scaling and decoupling growth from OPEX• escaping point-solution spaghetti with use case families• bimodal model for value creation and capitalization• governance that speeds decisions, not stalls them• continuous design over static process change• trust, discipline, aligned autonomy, and mastery• product vs project and market enablement roles• ERP standardization vs data pattern standardization• the intelligence plane and shared, synthetic, real-time data• buy to build, ecosystem scaling, and partnerships• Europe’s need for sandboxes and co-created guidance• AGI outlook across both risk and opportunityFollow us on youtube: https://www.youtube.com/@aiawpodcast

Follow us on youtube: https://www.youtube.com/@aiawpodcast

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

 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