The Only Constant

In this episode, Lasse Rindom speaks with Walter Quattrociocchi, complexity scientist and professor of computer science, about what really happens when language becomes automated and answers arrive without the effort of thinking. Their conversation circles around: Why large language models simulate judgment rather than possess it, and why benchmarks miss the point The concept of "Epistemia" - when fluent wording replaces verification and we feel we know without having evaluated How AI increases content production while quietly eroding trust in content itself Reliability, error, and the danger of delegating decisions to systems that cannot recognise their own mistakes Whether expertise becomes rarer - and more valuable - in a world full of convincing but ungrounded answers It is less a debate about machines becoming intelligent, and more a question of what happens to human judgment when fluency becomes cheap and cognitive labour optional. Do you want to know more about Walter Quattrociocchi? Walter Quattrociocchi is Full Professor at Sapienza University of Rome, leading the Center of Data Science and Complexity for Society (CDCS). His research interests encompass data science, network science, cognitive science, and data-driven modeling of dynamic processes in complex networks. Professor Quattrociocchi has an extensive publication record in peer-reviewed conferences and journals, including Nature and PNAS. His research on misinformation spreading has informed the Global Risk Report 2016 and 2017 of the World Economic Forum. International media have extensively covered his work, including Scientific American, New Scientist, The Economist, The Guardian, New York Times, Washington Post, Bloomberg, Fortune, Poynter, and The Atlantic.   In 2017, Professor Quattrociocchi coordinated the round table on Fake News and the role of Universities and Research in countering fake news, chaired by the President of Italy's Chamber of Deputies, Mrs. Laura Boldrini. In 2018, he served as the scientific advisor to the Italian Communication Authority (AGCOM), and in 2020, he was a member of the Task Force to Counter Hate Speech, appointed by the Minister of Innovation. He has recently been one of the Principal Investigators of the IRIS research coalition (UK/G7) focused on combating misinformation about vaccine hesitancy and climate change.   In 2023, the US State Department appointed him to the International Visitor Leadership Program (IVLP) on the topic of Data-Driven Policies. Professor Quattrociocchi is regularly invited to deliver keynote speeches and guest lectures at major academic institutions and other organizations.

In this episode, Lasse Rindom speaks with Kathy Pham, global AI leader at Workday and long-time voice in responsible technology. The conversation moves straight past surface-level “AI is cool” talk and into agency, purpose, governance, and what actually happens when autonomous systems meet real work and real people.  4 sharp conversation topics from the episode Agency vs purpose - how giving tools more autonomy can quietly remove meaning from the very tasks we thought we were optimizing The balance between technology fading into the background and moments where its presence must be explicit. How governance can be an accelerator, and why good rules and architecture do not slow innovation but actually make teams move faster without creating tech and social debt The tension between flexible, composable systems and the need for clear structures so AI can navigate finance, HR, and planning without going off the rails This episode is less about “what AI can do” and more about what we should let it do, and what happens to human purpose when efficiency becomes the default answer.   Do you want to know more about Kathy Pham? Kathy Pham is vice president of artificial intelligence at Workday. She also serves as the first Workday AI ambassador, and hosts the AI Horizons video series. A computer scientist and product leader, Kathy has experience across industry, academia, non-profits, venture capital, and government. In addition to her role at Workday, Kathy’s a senior advisor at Mozilla, where she co-founded the Mozilla Builders Incubator and Mozilla Responsible Computing, funding and enabling start-up founders and academics. And she’s on the faculty at Harvard University, where she created and teaches the Product Management and Society course and co-founded the Ethical Tech Working Group. She also serves on various technology and non-profit boards. Previously, Kathy served as the inaugural executive director of the National AI Advisory Committee, was deputy chief technologist at the Federal Trade Commission, and was a founding engineering and product member of the U.S. Digital Service at the White House, where she helped build critical digital services in government across three presidential administrations. In addition, Kathy spent over a decade building large scale systems in industry and healthcare at Google (search, health, people operations), IBM, and Harris Healthcare. She also previously served as a fellow at the MIT Media Lab and at the Harvard Ethics and Governance of Artificial Intelligence Initiative, where she co-founded ai-in-the-loop, exploring how AI fits into the human world. Kathy completed her undergraduate and graduate studies in computer science at the Georgia Institute of Technology in Atlanta and Supelec in Metz, France.

In this episode, Lasse Rindom speaks with Phil Lee, the Managing Director of Digiphile and a leading legal expert on data privacy, GDPR, and the evolving EU digital rulebook. It is a conversation that moves beyond the hype of the AI Act to explore the practical, often messy reality of compliance, investigating how organizations can navigate the "regulatory vicious circle" without stifling innovation. 4 sharp conversation topics from the episode: - How excessive complexity in legislation causes companies to accidentally fall out of compliance, prompting regulators to create more rules, which only deepens the problem. - Why the biggest governance headache isn't always new tools, but existing vendors quietly rolling out AI features - like a PDF reader suddenly sending data to servers in China via a software update. - The legal reality that systems cannot be held accountable, meaning that regardless of how autonomous an AI agent becomes, a human must always remain in the loop to absorb the liability. - Looking beyond personal data (GDPR) to the new Data Act, which essentially serves as competition law designed to break vendor lock-in and force cloud providers to make proprietary data portable. This conversation sets the tone and the reality for the interplay of regulation and innovation and is not to be missed by practitioners in the field of AI and data.   Do you want to know more about Phil Lee? Phil is a lawyer with over 20 years' experience, specialising in data protection and artificial intelligence. His practice focuses mainly on technology, cloud and digital media companies, and he has worked in both London and California. Phil Lee runs UK challenger law firm, Digiphile, which specialises in data protection, AI, and digital regulation. Digiphile's mission is to provide its global clients across all sectors with simple, strategic and actionable legal advice. He holds CIPP/E, CIPM, AIGP and FIP status with the IAPP, and a degree in Computer Science from Cambridge University.

In this episode, Lasse Rindom speaks with Katrine Bach - co-founder of Connected Women in AI - about why the real challenge in AI isn’t the tech itself, but how fast our systems entrench around whoever shows up first. Their conversation cuts through talk of values and hype, and asks what it really takes to build representative, inclusive, and effective AI adoption at scale. Why AI isn’t a specialist tool anymore - and why that changes who should be in the room The early adoption trap: how default practices quietly harden into systems, often without reflection Representation as strategy - and how a more diverse talent pool improves both innovation and adoption Why the gender gap in AI use and education is not about competence, but confidence - and how community changes that How learning profiles, systemic structures, and invisible assumptions still shape who feels entitled to work with AI This episode challenges the idea that “progress” is neutral - and insists we act now, before habit becomes excluding infrastructure. Do you want to know more about Katrine Bach? Katrine Bach is the CEO and founder of Expansion Partners, a consulting firm that helps leaders and entrepreneurs turn AI’s potential into tangible business growth and responsible innovation. She is also the co-founder and CEO of Connected Women in AI, an organisation that in just one year has brought together more than 5,500 women with the aim of creating equal access to AI skills, career development, and professional networks. For Katrine, diversity is not only about innovation, but about unlocking the full talent pool and thereby strengthening Denmark’s competitiveness at a time when AI is reshaping both the labour market and value creation. Under her leadership, the network is now launching a new digital platform designed to make AI learning and community accessible to even more people, helping ensure that Denmark maintains a strong position in the global AI landscape. With more than 25 years of international experience in the global pharma and technology industries, Katrine combines strategic insight, business acumen, and a passion for responsible technology. She is a prominent voice in the debate on how Denmark can maintain its competitive edge in the AI era through diversity, innovation, and bold leadership.

In this episode, Lasse Rindom speaks with Jeanette Bronée - global keynote speaker, author of The Self-Care Mindset, and creator of Power-Pausing™ - about how the real lever in today’s fast-moving, AI-shaped workplace isn’t faster output, but human clarity, connection and trust. AI can supercharge the hamster wheel, unless leaders redesign what the wheel is even for The difference between output and outcome, and why speed without discernment just multiplies dysfunction Agency as the real battleground, and the risk of outsourcing sovereignty to tools that feel like they “understand” you Why global connectivity creates both opportunity and mass comparison, and how that pressure shapes work, identity, and attention The uncomfortable question behind “future of work" - Who actually gets to choose what it becomes? Are we designing for and with care? Or just accelerating mindlessly? That's the question this episode explores. Do you want to know more about Jeanette Bronée? Jeanette Bronée is a Danish-born, New York–based global keynote speaker, TEDx speaker, and culture strategist who helps organizations unlock the Human Advantage in a world shaped by AI and constant change. With a background in customer experience, brand strategy, and more than two decades as a coach and consultant, she works at the intersection of human performance and organizational culture. Her career began in design and leadership, where she learned firsthand that customer experience is inseparable from employee experience. After burning out and rebuilding her life from the inside out, she dedicated her work to understanding how people function under pressure and how trust becomes the invisible infrastructure of every high-performing team. Jeanette is the creator of Power-Pausing™ and CARE OS®, practical frameworks that help leaders build self-trust, strengthen team trust, and design human-driven cultures where clarity, care, and collaboration fuel innovation. She has spoken at the United Nations and guided leaders across global companies, and she is the author of The Self-Care Mindset® published by Wiley. Her work challenges the outdated idea that productivity is the goal. Instead, she highlights that high-functioning organizations grow from the inside out when people have the tools to navigate uncertainty, recalibrate their energy, and lead with wisdom instead of speed. In a future where technology accelerates everything, Jeanette believes our competitive edge is profoundly human. She helps leaders turn trust into strategy, care into culture, and change into momentum so people and organizations can thrive, adapt, and innovate, no matter the pace of the world around them.  

In this episode, Lasse Rindom speaks with Melanie Kleemann, an experienced executive leader and transformation advisor, about why AI doesn’t fail because of technology - but because of leadership. Their conversation cuts through AI theatre and lands on the uncomfortable, practical work of leading change: Why technology never transforms the world on its own - and how AI exposes weak ownership and unclear leadership faster than any previous wave The real mistake leaders make with AI: delegating responsibility instead of providing clarity, context, and orientation Why “digital transformations fail” is the wrong question - and how time, culture, and over-promising distort the story The difference between exploring the future and leading people through uncertainty without creating anxiety Why AI adoption demands more human leadership, not less - and why clarity matters more than speed If you’re tired of AI slogans, frightened organisations, and leaders pretending to have answers they don’t - this episode is about what leadership actually looks like when the future is unclear.   Do you want to know more about Melanie Kleemann? “The job market isn’t broken,  the rules are just outdated. Melanie Kleemann rewrites them.” Melanie doesn’t help leaders find their next job: she helps them take the lead in writing their next chapter. As a former global C-level executive turned Executive Advisor, she flips the script on outdated career playbooks. Her clients don’t wait for headhunters or job ads. They build visibility, clarity, and authority to attract the opportunities they want. With 25+ years of leadership experience at brands like IKEA, Vorwerk, and P&C Group, Melanie is now one of the most trusted voices on leadership in times of transformation. She supports top-level executives during reinvention, after exits, or at key turning points, with a clear strategy that puts them back in the driver’s seat. Her approach? Strategy meets story. Business meets brand. No fluff. No wishful thinking, just bold clarity and results.

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, Data and AI Strategist 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.

In this episode of The Only Constant, Lasse Rindom speaks with Jason Stanley from ServiceNow - AI expert, sociologist, and someone who actually reads the footnotes. Together, they unravel the real frontiers of AI in enterprise - not in the labs, but in the messy middle where governance, workflows, and risk collide.   Topics covered include: Why large-scale organisations need more than just great models - they need infrastructure How agents force a rethink of steerability, auditability, and control in AI systems The exploding attack surface of GenAI and why prompt injection should be on everyone's mind What “neuro-symbolic” means and why it matters Whether augmentation is just displacement in disguise - and what history tells us about it A discussion into the deep. Into workflows. Into sociology. Into the uncomfortable. Exploring, as usual.   Do you want to know more about Jason Stanley? Jason Stanley is Head of AI Research Deployment at ServiceNow, leading a team de-risking and finding product value in AI research. Previously he led the company's applied research team working on AI trust and governance.    In the past, he has led research and product teams in technology companies, was an invited expert on AI issues for OECD, served on the Partnership on AI's Expert Group on Human-AI Collaboration and worked on labor market policy for the Government of Canada.    He holds a Ph.D. in Sociology from New York University and social science degrees from Oxford University and Williams College. 

In this episode of The Only Constant, Lasse Rindom speaks with retired tech executive and deep thinker Michael Carroll about the coming shift from automation to true agency. They explore what it means when AI no longer just supports decisions, but begins to reason with us - and sometimes, for us.   Highlights include: What agency really means - and why some AI projects miss the point The illusion of better decisions through more dashboards Why discomfort is essential for growth - and what’s lost when AI does the hard things for us How causal AI could change enterprise architecture from gatekeeping to guidance Whether AI isolates us from peer groups - or makes us more deeply understood It’s a conversation that asks more than it answers - which is exactly the point.   Do you want to know more about Mike Carroll? Mike Carroll grew up on a farm in Ohio, where work began at breakfast and was measured in sunrises, where results were earned with sore muscles and finished with calloused hands. That foundation instilled the discipline of process, respect for time-tested practices, and the belief that lasting value is built, not borrowed. Those lessons carried him from the fields into engineering and later into leadership, shaping a career grounded in both tradition and innovation.   From the mills of Mead’s pulp and paper operations to executive leadership at Georgia-Pacific, he drove transformation at scale by embedding innovation into the core of operations. As Deputy Chairman and CEO at Shepard LTD in the UK, he navigated global markets. At McTech Group, he forged growth with Walmart, Lowe’s, Home Depot, and Kroger. Today he serves as Chief Strategy and Operations Officer at Trek.AI, Research Fellow at LNS Research, and Board Advisor to the Industrial AI Nexus, working with the Chief Architects Network. Alongside these roles, he advises multiple AI startups, mentoring the next generation of leaders shaping the future of intelligence.   Across this journey, Carroll has been recognized as Visionary of the Year by Smart Industry and Innovator of the Year by the Association of Suppliers to the Paper Industry. A sought-after keynote speaker and columnist, he weaves real-world case studies with lyrical storytelling that challenge leaders with a simple question: “What must be true in one year, three years, a decade?” Whether advising boards, guiding innovation councils, or speaking to global audiences, he holds to one conviction,  the next industrial revolution will not be won by those who claim to have every answer, but by those willing to seek and bold enough to ask better questions.

In this episode, Lasse Rindom speaks with Jakob Freund, CEO of Camunda, on what it really means to build AI-driven automation that’s enterprise-ready - without losing grip on governance, process integrity, or human responsibility. Their lively, deep-cutting discussion covers: The realistic path to AI value - why it’s still about measurable automation, not magic Jakob’s framework of blending deterministic workflows with dynamic agentic AI The rise of “enterprise-grade agents” that own processes (not just perform tasks) How Camunda's orchestration layer became the missing link between structure and AI flexibility Governance, crumple zones, hallucinations, and who really ends up in jail when the agent fails Do you want to know more about Jacob Freund? Jakob is the co-founder and chief executive officer, and is responsible for setting a bold vision and strategy for Camunda. He is also the driving force behind Camunda’s global growth and cohesive company culture. Jakob co-authored the best-selling book, “Real-Life BPMN,” and is a sought-after speaker at technology and industry events. He holds an MSc in computer science from Hochschule für Technik und Wirtschaft Berlin.

In this episode of The Only Constant, Lasse Rindom is joined by Danilo McGarry, global AI leader, board advisor, and host of one of the fastest-growing AI podcasts. Together, they explore the real-world implications of AI transformation - far beyond the hype and fear-driven headlines. Key discussion points include: Common misconceptions that derail enterprise AI initiatives Why AI isn’t “plug and play” - and how purpose, process, and orchestration determine success Danilo’s three-phase outlook for the future of work, automation, and post-scarcity economics How generative AI and robotics will shift business models, employment, and even national economies What boards and executives must do to govern AI responsibly and drive long-term transformation From rethinking workforce structures to building workflow-driven organizations, this episode offers a grounded and forward-looking perspective on the next decade of AI in business and society. Do you want to know more about Danilo McGarry? Danilo McGarry is a leading AI & Digital Transformation expert, advisor, and keynote speaker. His work focuses on transforming organizations through practical AI applications and strategic digital initiatives. With a proven track record at Fortune 500 companies, Danilo has helped businesses increase valuations by up to 5x. He specializes in transforming companies with tech, especially through the use of Ai and Digital Transformation methodologies. Danilo has trained over 90,000 consultants, C-suite executives, and board members in the world's largest 10,000 companies across 90+ countries. His insights reach millions of professionals annually through his speaking engagements, socials and publications. His work is studied by over 100 universities around the world and is approved by the PMI institute. Today he runs his own Ai company & advises Fortune 500, FTSE 250 companies and governments around the world. What makes Danilo truly unique is his rare ability to excel at both the technical and business aspects of AI. While many experts specialize in either technology implementation or business strategy, Danilo bridges this gap. Danilo is one of the few leaders on earth to have successfully designed, built, and scaled AI & Digital Transformation programs for global organizations while simultaneously driving over $2 billion in tangible business value through new products, services, and operational efficiencies - a combination of skills rarely found in a single professional.

In this episode of The Only Constant, host Lasse Rindom speaks with Eric Siegel - author of The AI Playbook and a straight-talking voice in a noisy AI market. Siegel cuts through overpromises, resists crystal-ball fantasies, and reminds listeners that most of AI’s real business value still comes from predictive models, not the latest generative toys. They discuss: Why predictive AI remains an untapped differentiator while generative AI is fast becoming a commodity The “accuracy fallacy” and the danger of chasing perfect certainty How narrowing scope and adding predictive layers over generative systems can make them viable in high-stakes use cases Why AGI is, in Siegel’s view, at least 1,000 years away - and why that’s a useful mindset for today’s business leaders Do you want to know more about Eric Siegel? Eric Siegel, Ph.D., is a former Columbia University professor who helps companies deploy machine learning. He is the cofounder and CEO of Gooder AI, the founder of the long-running Machine Learning Week conference series, the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery,” executive editor of The Machine Learning Times, and a frequent keynote speaker. He wrote the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, which has been used in courses at hundreds of universities, as well as The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. Eric’s interdisciplinary work bridges the stubborn technology/business gap. At Columbia, he won the Distinguished Faculty award when teaching the graduate computer science courses in ML and AI. Later, he served as a business school professor at UVA Darden. A Forbes contributor, Eric publishes op-eds on analytics and social justice.   Eric has appeared on Bloomberg TV and Radio, BNN (Canada), Israel National Radio, National Geographic Breakthrough, NPR Marketplace, Radio National (Australia), and TheStreet. A Forbes contributor, Eric and his books have been featured in BBC, Big Think, Businessweek, CBS MoneyWatch, Contagious Magazine, The European Business Review, Fast Company, The Financial Times, Fortune, GQ, Harvard Business Review, The Huffington Post, The Los Angeles Times, Luckbox Magazine, MIT Sloan Management Review, The New York Review of Books, The New York Times, Newsweek, Quartz, Salon, The San Francisco Chronicle, Scientific American, The Seattle Post-Intelligencer, Trailblazers with Walter Isaacson, The Wall Street Journal, The Washington Post, and WSJ MarketWatch.

In this episode, Lasse Rindom speaks with Frank Casale - entrepreneur, advisor, and long-time voice in automation and enterprise change. Frank calls himself a “conflicted futurist,” and it shows - in the best way possible. Together, they discuss: Why most companies say “agentic” but act quarter-to-quarter How AI isn’t just smart- it’s becoming empathic, and what that unlocks The real revolution: not tech, but how work gets done Why the next big wave isn’t just automation, but it’s services powered by digital labor Frank is sharp, provocative, and uncomfortably honest. If your roadmap still starts with tools, this might rattle your framing Do you want to know more Frank Casale? Frank Casale is a veteran in enterprise growth, go-to-market strategy, and emerging tech, best known as the founder of the Institute for Robotic Process Automation & AI, The Outsourcing Institute, and most recently Tranquilla AI - an empathic-AI startup delivering comfort, concierge, and coaching services. With over two decades of experience selling into complex, regulated, and global markets, Frank has helped early-stage and scaling companies break through noise, build trust-based sales pipelines, and close strategic deals with enterprise giants like GM, Citibank, PwC, and IBM. He’s a recognized voice in the automation and AI ecosystem, known for his straight talk, strategic clarity, and ability to spot momentum before it peaks. As an operator, advisor, and super-connector, Frank opens doors most teams can’t. His global network - spanning over 150,000 professionals and 30,000+ direct LinkedIn connections - includes buyers, investors, alliance partners, and influencers across the U.S., EMEA, and APAC. Whether he’s shaping go-to-market strategies, launching empathic-AI platforms, or speaking on the future of digital labor, Frank’s focus remains consistent: helping tech companies grow faster by building relationships that convert - and by staying two steps ahead of where the market is going.