The Stacked Data Podcast · 2026-04-07 · 48 min
In this episode of the Stacked Data Podcast , Harry sits down with Adam Sorka from Hyper Cubed to tackle one of the biggest gaps in the industry right now: Why so many AI projects never make it past experimentation - and what it actually takes to deliver real value. Adam has built a reputation as a pragmatic (and often sceptical) voice in the AI space. In this conversation, he breaks down what’s really driving the current wave of AI adoption - and why much of it is still fuelled by hype, not outcomes. They explore how to properly identify and validate high-value AI use cases before writing a single line of code, what “AI readiness” actually means beyond buzzwords, and how to think about testing, governance, and risk in production systems. A big theme throughout is the role of humans in the loop - why removing them too early creates more problems than it solves, and how the best teams design AI systems that augment, rather than replace, decision-making. Finally, Adam shares how to measure real impact and what it takes to scale beyond a single successful use case - turning AI from a side experiment into a meaningful business capability.
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