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.

In this episode of The Only Constant, Lasse Rindom speaks with Emilie Lundblad - triple Microsoft MVP in AI, Head of AI Center of Excellence at Ambu, and a true specialist with deep roots in econometrics, architecture, and data governance. Together, they explore what it actually takes to work meaningfully with AI in enterprise today.

Key themes from the conversation:

• Why critical thinking and clarity of purpose is absolutely essential in AI today
• How misalignment in organizations is amplified - not solved - by faster AI tooling
• The disappearing middle: Why juniors risk being left behind, and how to accelerate their journey to seniority
• Why AI doesn’t reduce complexity - it accelerates it, and what that means for governance and strategy
• Why your lack of investment in digital maturity might just come back to haunt you in an AI transformation

Do you want to know more about Emilie Lundblad?

Emilie Lundblad is a three-time Microsoft MVP in AI, a two-time Microsoft Regional Director, and the head of the AI Center of Excellence at AMBU.

With over 15 years of experience in data and artificial intelligence, she helps organizations implement AI safely and responsibly in production.

Emilie is the vice-chair of the Danish Data Science Community, a national board member of the Pioneer Centre for AI, and a board member of Blue Logistics Group.

In this episode, Lasse Rindom speaks with Nandan Mullakara, automation strategist and author, about the future of automation and how AI, RPA, and APIs are evolving - not competing. Their conversation moves from the practical to the philosophical, exploring what happens when orchestration itself becomes intelligent:

• Why it’s not AI or RPA, but AI and RPA - and how the “AND operator” mindset might be the real key to modern automation and IT
• The difference between legibility and illegibility in business systems, and how AI challenges our instinct to make everything orderly
• Why AI doesn’t eliminate work but actually creates more of it - and what that means for digital maturity
• The coming tension between control and trust as organizations hand over decisions to machine intelligence
• How agentic automation could dissolve the boundaries between processes, people, and systems

It’s a conversation about cycles, complexity, and coexistence - and why, in Nandan’s words, RPA was never born and will never die.

Do you want to know more about Nandan Mullakare?

Nandan Mullakara is a globally recognized leader in AI‑led automation and Agentic AI, ranked among the Top 200 World’s Most Influential Voices in AI by Favikon. He is co‑author of best‑selling books Agentic Artificial Intelligence and Robotic Process Automation Projects, cited widely across academia and industry (Google Scholar). He is featured in Onalytica’s Who’s Who in Automation.

As the founder of Bot Nirvana, Nandan advises enterprises on Agentic AI and Intelligent Automation—from strategy and operating models to measurable outcomes. He also hosts the Bot Nirvana AI & Automation Podcast, ranked among the top shows in its category for pragmatic, practitioner‑first conversations.

Previously, Nandan led Robotic Process Automation (RPA) practice and Application Managed Services (AMS) projects at Fujitsu Americas. He has driven initiatives for global companies such as Honeywell, BCBS, Canon, and Embraer.

His insights and articles have been featured by esteemed outlets including Forbes, Solutions Review, Tech Report, and Packt. Explore interviews on Onalytica, Engatica, Excelcult, Coding over Cocktails, and Kieran Gilmurray.

In this episode of The Only Constant, Lasse Rindom sits down with Serge Belongie, Director of the Pioneer Centre for AI and one of Europe’s leading AI thinkers, for a conversation that cuts through the noise of hype and panic to reach something far more enduring.

Together, they explore:

• Why AI isn’t a revolution but a continuation of the march of automation
• How the “idiot wind” of hype always blows through history and major technological changes
• Why spreadsheets once terrified CEOs the same way large language models now do
• The problem of “data washing” and how a biased baby monitor reveals the limits of clean datasets
• Why AI should be treated as statistics and software - ordinary technology - until proven otherwise
• The dangers of anthropomorphizing chatbots and why friction can be a democratic safeguard

Belongie’s blend of historical analogy, dry humor, and academic precision makes this conversation one of the most illuminating yet and a standout episode of The Only Constant.

About Serge Belongie:

Serge Belongie is a professor of Computer Science at the University of Copenhagen, where he also serves as the head of the Pioneer Centre for Artificial Intelligence (P1).

Previously, he was a professor of Computer Science at Cornell University, an Associate Dean at Cornell Tech, a member of the Visiting Faculty program at Google, and a professor of Computer Science & Engineering at UC San Diego. His research interests include Computer Vision, Machine Learning, Augmented Reality, and Human-in-the-Loop Computing. He is also a co-founder of several companies including Digital Persona and Anchovi Labs.

He is a recipient of the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review “Innovators Under 35” Award, the Stibitz-Wilson Award, the Helmholtz Prize, the Everingham Prize, and the Koenderink Prize for fundamental contributions to the Computer Vision community.

He is a member of the Royal Danish Academy of Sciences and Letters and serves on the board of the European Laboratory for Learning and Intelligent Systems (ELLIS).

In this episode, Lasse Rindom speaks with Elin Hauge - board member, strategist, AI advisor, kickboxer, and part-time law student - about the messy truth behind AI adoption. Their conversation navigates the sharp edges between math, language, risk, and responsibility:

• Why understanding the cost of being wrong is central to responsible AI adoption - especially when decisions affect real people
• How the confusion matrix reveals the hidden risks leaders rarely factor in
• What generative AI really does (and doesn’t do) when it comes to language, meaning, and truth
• Why pragmatism - not hype - should guide how companies deploy AI, and why most boards are still unprepared
• And yes, how full-contact kickboxing might be the perfect metaphor for tech strategy

A conversation packed with edge, insight, and just the right amount of bruising honesty.

Do you want to know more about Elin Hauge?

Elin has built bridges between data-fuelled technologies and business value for more than 20 years. Through her collaborations with business leaders and tech entrepreneurs, she has developed an exceptional ability to connect business strategy with the application of data-driven technologies, including artificial intelligence. She brings novel perspectives to familiar challenges, persistently demystifying jargon and buzzwords, and consistently remains ahead of the curve with her insights into societal implications, sustainability, regulation, security, and geopolitics.

She approaches her perspectives with a humorous, down-to-earth, and pragmatic mindset, focusing on what is feasible now, what is responsible in both corporate and societal contexts, and what leaders need to understand about data and algorithms to make informed decisions. She then adopts a futurist perspective, looking ahead to potential scenarios and future outcomes, challenging established beliefs and viewpoints.

Her strong and engaging stage presence and her unique ability to tailor her communication style and narrative to specific audiences is highly regarded by her clients and audiences. As a moderator, she adopts a dependable, grounded, and professional approach to clients' needs. Her extensive speaking experience enables her to provide valuable support to clients and speaker line-ups in their preparations, content development, and delivery. She is particularly adept at crafting engaging narratives, infusing scripts with her personal expertise to create a natural and captivating experience. Elin excels at fostering a relaxed yet professional atmosphere, ensuring all participants feel at ease while maintaining high standards. Her collaborative approach, combined with her creative energy and ideas, enhances the flow and impact of events, making her a highly recommended choice for professional events.

Through systematic incorporation of the human perspective, she emphasizes that "it is up to us – the humans – to design the future of technology to be human-more, not human-less." In her talks, she provides tangible and well-grounded recommendations on how to derive real benefits from data-driven technologies, mitigate risks, comply with regulations, and consolidate and leverage data as a valuable business asset.

Acadmically, she holds an MEng in Biophysics and Medical Technology from the Norwegian University of Science and Technology and an MSc in Management Science and Operational Research from Warwick Business School. Recently, she has also commenced law studies to further enhance her ability to connect responsible and accountable business practices with regulatory frameworks. Her strong academic foundation in mathematics and physics, combined with extensive business experience, provides a solid basis for her perspectives on the revolutionary opportunities and complex challenges associated with artificial intelligence and other data-driven technologies.

She also holds several non-executive board positions, serving as chair for the majority of these companies.

In this episode of The Only Constant, Lasse Rindom speaks with Sue Turner, founder of AI Governance and Professor in Practice at the University of Bristol Business School. Their conversation spans both the pragmatic and philosophical dimensions of AI adoption, with key discussions points being:

• Why most organisations are stuck in their AI maturity – experimenting without moving to real transformation
• The tension between legacy data as both “gold dust” and “an anchor” holding companies back
• How humility and a beginner’s mindset are essential for leaders to make sense of AI’s possibilities
• The dangers of shadow AI in enterprise software and why transparency from vendors should be mandatory
• The risk of letting AI development be driven by a handful of tech giants, and Sue’s call for more democratic, purposeful leadership around AI

It’s a wide-ranging discussion that touches on power, governance, and the sheer speed of technological change.

Do you want to know more about Sue Turner?

Sue Turner is dedicated to using her expertise in AI governance and ethics to inspire people and organisations to use AI with wisdom and integrity.

With both a Law degree and an MSc in Artificial Intelligence and Data Science, she established AI Governance Limited in 2020 to advise businesses and policy makers on pragmatic AI, data ethics and governance issues, and making a positive societal impact. Her Board development clients range from Fortune 100 and FTSE 350 businesses to small charities, and her reach is global through accredited training programmes and being a founder member of the United Nations AI Skills Coalition. She has been rated in the World's Top 100 Women in AI Ethics and was one of the first 14 people globally to be accredited in the Foundations of Independent Audit of AI systems.

She is Professor in Practice for AI and Technologies at the University of Bristol Business School, Board Chair and Non-Executive Director for purpose-driven businesses in regulated industries and has been a Mentor on the Turing Institute’s Skills Policy Awards. Her career spans entrepreneurial private businesses and not-for-profit organisations where she has led significant organisational growth, raised £27 million for charity and collaborated to shift power to help people improve their prospects. She was awarded the OBE in 2021 for Services to Social Justice.