Today's episode is hosted by Sam Russell and they are joined on the podcast by Celine Xu, Data and AI Engagement Strategy Manager at H&M, Albert Ziegler, Head of AI at XBOW and Svetoslav Marinov, Head of AI at Digital Mirror. The conversation explores why so many initiatives struggle to move beyond experimentation and what organisations can do to ensure AI projects reach production. The guests reflect on structural challenges that limit adoption, from data quality and tooling to the cultural and operational barriers that impede scalable execution. The exchange highlights how teams can create stronger pathways from proof of concept to real-world deployment by aligning stakeholders, refining processes and prioritising value-led delivery. Themes such as governance, capability building and iterative development feature throughout, offering listeners a grounded view of what sustainable progress looks like in practice. As the discussion broadens to long-term maturity, it revisits how production-level AI becomes a catalyst for innovation when supported by clear ownership and resilient foundations.
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