The Only Constant
Tune in to The Only Constant for insights you haven’t heard before - and for deep conversations at the intersection of business, technology, and AI, where the only thing that stays the same is change.This podcast is for those who prioritize exploration over explanation.For those who enjoy difficult questions more than easy answers.For anyone looking to stay ahead and relevant in an age of accelerating change.Join host Lasse Rindom as he speaks with global thought leaders about how AI and emerging technologies are actually being adopted in enterprise settings. Episodes explore the challenges of scaling generative AI, governing stochastic systems, embedding human-in-the-loop approaches, and confronting ethical trade-offs.With a focus on pragmatic strategy, past automation lessons, and a touch of business philosophy, this podcast dives deep into how organizations deal with unstructured data, real implementation hurdles, and the messy reality of transformation.Sponsored by Basico.Driven by...
Episodes
In this episode, Lasse Rindom is joined by Hans Petter Dalen - “HP” to most - who heads up AI Governance for IBM across Europe, the Middle East, and Africa. With more than two decades inside IBM and a rare mix of realism, wit, and deep enterprise insight, HP brings clarity to a conversation often lost in hype words and messages.
Together, they unpack:
- How IBM actually saved $3.5 billion with AI - and why it's more than just a ...
- Why “agent-washing” is the new “AI-washing” - and what truly separates intelligent agents from chatbots and...
- Why AI is just another tool - until it’s paired with real problems and real accountability
- How IT needs to be both flexible and firm: ag...
- Why orchestration beats buzzwords in the race to value
- How agentic AI won’t fix anything if your architecture’s still a mess
- The repeated failure to turn tech promise into operational chan...
- Why “ethics” in business isn’t what most people think
- How philosophical reflection, not just compliance, shapes ...
- Why the right question is never “can we do a GenAI solution?” but “what real problem are we solving?”
- How Novo rolled out an internal AI marketplace and chatbot...
- Why friction and striving are central to personal growth - and how AI’s instant gratification risks leaving us empty
- The cost of outsourcing...
- Why real transformation won’t come from flashy demos, but from deep integration into workflows and systems
- The risks of treating ...
- Whether AI in ERP is truly transformation - or just lipstick o...
- Why increasing automation often requires more human skill, not less
- H...
- What companies get wrong about internal data
- The risks of “vibe coding” in a world of AI-generated software
- Why composable architec...
- Why action, experimentation, and curiosity are the foundation for making...
- Where AI optimists are actually right and where their enthusiasm turns into hubris
- How AI challenges traditional work structures and forces a rethink of hierarchies and control
- Why businesses need to embrace discomfort to foster ...
- Why Russ believes the "end state" of AI is easier to see than most think - but still comes with four possible futures.
- The evolving relationship between humans and technology, from the early days ...
- Why AI adoption isn’t just about tools but about people’s willingness to change
- The p...
- Why the biggest challenge with AI isn’t the technology itself, but the decisions leaders must make about it
- The tension between innovation and digital trans...
- The nine uniquely human traits that AI can't replicate - and why they matter more than ever
- The risks of AI imitating human ...
- Will specialization disappear as AI takes over more tasks, or will it become even more critical?
- Are humans...
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