In this episode, Lasse Rindom speaks with Ewa Zborowska, Research Director at IDC and one of Europe’s leading AI analysts, known and renowned for her clarity in the face of hype. With decades of experience turning early signals into strategic foresight, she joins the podcast to discuss what’s actually, truly, really happening in enterprise AI adoption.

Together, they unpack:

• Why everyone claims success in AI while most projects still quietly fail, and what it means to fail in AI
• How analyst work sits between vendor buzz and the messy truth of enterprise IT
• Why integration - not pilots - remains the real bottleneck to value
• How regulations can unlock innovation by reducing risk and enabling trust

If you’re exhausted by AI theatrics and want to hear from someone who reads the footnotes and drives genuine influence on vendors and buyers - this is your episode. Do you want to know more about Ewa Zborowska?: Ewa Zborowska is a Research Director at IDC, leading the European AI research program. She has over 20 years of experience in market analysis and consulting, focusing on how emerging technologies influence business and society.

Ewa is recognized for identifying meaningful patterns in technology trends and explaining complex topics in a clear, accessible way. Her work spans cloud computing, AI, and managed services, where she brings a balanced mix of independent analysis and collaborative engagement. Her steady curiosity and thoughtful approach have helped her build strong relationships with clients and colleagues.

She remains focused on future trends and the long-term impact of technology, aiming to better understand what today’s innovation will mean for the next generation.

In this episode, Lasse Rindom speaks with Laura Jeffords Greenberg, lawyer, legal tech leader and top voice, educator, and Head of the AI Legal Academy at Wordsmith. Born in Silicon Valley and now based in Europe, Laura brings a unique perspective on how legal work is adapting - and sometimes resisting - the AI wave.

Their conversation dives into both the structural and cultural forces shaping the legal profession:

• How in-house lawyers are embracing AI to stop reviewing NDAs and start preventing risk

• What happens when you train a junior lawyer on AI - but they’ve never learned what “good” looks like

• Legal language vs. code: ambiguity, jurisdictional nuance, and why “best efforts” might not mean what you think

• Why Silicon Valley has always hated lawyers - and what it says about the future of regulation and power

This is an episode that goes deep on AI, and on legal, to ask what governs both worlds and what will it mean when they collide.

Do you want to know more about Laura Jeffords Greeberg?:

Laura Jeffords Greenberg is the Head of Wordsmith Academy, where she teaches legal teams how to use AI with clarity, confidence, and curiosity. A former in-house lawyer turned legal-tech educator, she’s trained thousands of lawyers across Europe and North America on practical, safe, everyday AI use.

She’s also recognized as a LinkedIn Top Voice, keynote speaker, and thought leader on legal tech and GenAI.

Laura focuses on bridging the gap between legal expertise and emerging technology, helping legal teams rethink workflows, develop AI literacy, and work with AI as a true colleague.

In this episode, Lasse Rindom speaks with Sune Selsbæk-Reitz, Head of AI & Data Strategy at Demant. Sune has emerged as one of Denmark’s clearest and most skeptical voices in the AI field - not in opposition to generative AI, but in opposition to how uncritically it’s often applied.

The conversation covers a wide arc, but always circles back to human agency, historical perspective, and the need to reinstate critical thinking in digital transformation.

Topics include:

• The fluency trap: why we mistake well-written answers for truth
• How LLMs amplify what we bring to them - curiosity, clarity, or laziness
• The forgotten value of source criticism and scientific theory in AI deployments
• Data strategy, governance, and what Sune calls “forever beta”
• De-ontological design and building systems that know what they should never do

An episode for anyone who wants to understand not just what AI does, but what it does to us.

Do you want to know more about Sune Selsbæk-Reitz?

Sune Selsbæk-Reitz is a Danish tech philosopher and Data & AI Strategist at Demant, a global hearing healthcare company. His work focuses on bridging data strategy, artificial intelligence, and ethics, ensuring that technology serves human dignity rather than efficiency alone. He is the creator of the Deontological Design framework, which applies Kantian moral philosophy to AI ethics, and the author of the forthcoming book "Promptism: Fluent Machines, Forgotten Questions, and the Fight for Meaning in the Age of AI." Through his writing, public speaking, and research, he explores how fluency, automation, and convenience shape human thinking and moral responsibility in the age of intelligent systems. Before joining Demant, Sune worked in the financial sector, leading strategic data initiatives and business transformation projects. He holds a master’s degree in philosophy and history, has written extensively on AI ethics and critical thinking, and is a regular speaker at conferences on responsible AI and the future of human-machine interaction.