Automatisering

Why organisations work with Aaron Frank As one of only two lead facilitators of Singularity University’s flagship five-day Executive Program, he translates emerging technology trajectories into specific decisions a senior team can make this quarter, not abstract futures. He has taught the same material to the United States Marine Corps, the Central Bank of Denmark, Ernst & Young, FC Barcelona, GE, and The Economist Group, which means his frame is tested across regulators, militaries, sports bodies, and Fortune 500 operators. He guest lectures inside Oxford’s Saïd Business School Digital Transformation course, evidence that his content survives peer scrutiny in a serious executive-education environment. He writes a steady stream of analysis for Singularity Hub, Wired, Forbes, Vice, and VentureBeat, and authored Singularity’s 2026 executive briefing on Physical AI, so audiences get a speaker whose arguments are already pressure-tested in print. His current research focus is the convergence of generative AI, spatial computing, 3D simulation, and physical AI, a frame that gives him a concrete read on where the next wave of enterprise infrastructure is heading. Biography highlights Principal Faculty, Singularity University, and one of only two lead facilitators of its flagship five-day Executive Program. MBA, University of Oxford’s Saïd Business School, where he also guest lectures on the Digital Transformation course. Bylines in Vice, Wired, Forbes, VentureBeat, and Singularity Hub. Author of A Business Leader’s Introduction to Physical AI (Singularity, 2026). Has spoken to or advised the United States Marine Corps, the CIA, the Department of Defense, the Central Bank of Denmark, Ernst & Young, GE, The Economist Group, Coca-Cola, Under Armour, FC Barcelona, the NBA, Sony, and Honeywell. Board member, Saint Francis Living Room, a community kitchen in San Francisco’s Tenderloin. Biography Generative AI is now familiar territory for most senior leaders. What comes after is the harder question: which emerging shifts genuinely reshape an industry, and where capital should actually move. That interpretive read is what Aaron Frank does for a living. He is one of only two lead facilitators of Singularity University’s flagship Executive Program. The five-day intensive puts him in a room with around a hundred senior leaders, working through emerging technology trajectories as a structured curriculum. Few speakers test their arguments against a senior audience that often. His range covers rapid technological change, spatial computing and 3D simulation, digital twins as enterprise infrastructure, and the move toward physical AI. He has taught that material to the United States Marine Corps, the Central Bank of Denmark, Ernst & Young, FC Barcelona, and GE. His bylines appear in Wired, Forbes, Vice, VentureBeat, and Singularity Hub. Outside Singularity, he holds an MBA from Oxford’s Saïd Business School and guest lectures on its Digital Transformation course. He also sits on the board of Saint Francis Living Room, a community kitchen in San Francisco’s Tenderloin. His current research focus is the rise of physical AI, set out for Singularity in a 2026 executive briefing on the convergence of robotics, simulation, and spatial intelligence. Key speaking topics Exponential technology trajectories and leadership decisions Innovation strategy under technology acceleration Spatial computing, 3D simulation, and digital twins Physical AI and robotics Ideal for Boards and executive teams setting AI and emerging technology investment direction CTO, CIO and head of digital transformation audiences Industrial, manufacturing, defence and supply chain leadership planning around physical AI and digital twins Strategy and innovation leads in financial services, sport, media and government Audience outcomes A clearer read on which emerging technology shifts actually reshape their industry, and which are noise. A working vocabulary for generative AI, spatial computing, digital twins, and physical AI that a senior team can use in the same conversation. Specific examples of how regulators, militaries, sports bodies, and Fortune 500 operators are deploying these technologies today. A view on the next two to five years of enterprise AI infrastructure beyond the chatbot, drawn from operating deployments.

Why organisations work with Andrés Oppenheimer His sector-by-sector analysis of automation’s job impact – developed through the same investigative methodology that produced a Pulitzer Prize – gives leadership teams a specific, evidence-built picture of workforce risk rather than a generalist technology forecast. “The Oppenheimer Report” column runs twice weekly across 60+ newspapers in the US and Latin America, meaning his read on political and economic shifts is drawn from live, primary reporting – not filtered retrospective analysis. He can address geopolitical risk and AI-driven workforce disruption in a single conversation, from a single credible position – organisations operating across the Americas do not need separate voices to cover both agendas. His television programme “Oppenheimer Presenta” on CNN en Español gives him direct, ongoing access to heads of state, finance ministers, and regional business leaders – a source network that shapes the quality and specificity of his intelligence. Nine books across four decades of reporting on Latin American competitiveness means his arguments carry empirical ballast: when he makes a forecast, he can point to the precedents it rests on. Biography highlights Latin America editor and syndicated foreign affairs columnist, The Miami Herald; “The Oppenheimer Report” appears twice weekly in 60+ US and international newspapers Anchor, “Oppenheimer Presenta,” CNN en Español – broadcast across 19+ countries in the US, Latin America and the Caribbean Co-winner, 1987 Pulitzer Prize, as part of the Miami Herald team that broke the Iran-Contra scandal Author of nine books, including The Robots Are Coming! (Vintage/Random House, 2019) and Innovate or Die! (2014), translated into Spanish, Portuguese, Japanese, Korean, and Chinese Awards include: Ortega y Gasset Award (El País, 1993), Maria Moors Cabot Award (Columbia University, 1998), King of Spain Award (2001), Overseas Press Club Award (2002) Master’s degree in Journalism, Columbia University; freelance contributor to The New York Times, The Washington Post, BBC, and CBS’ 60 Minutes Biography The Americas produce a particular kind of strategic risk – one where political instability, trade volatility, and currency pressure arrive together and faster than most organisations expect. Andrés Oppenheimer has spent four decades reporting from inside that complexity, as Latin America editor and syndicated foreign affairs columnist for The Miami Herald, with “The Oppenheimer Report” appearing twice weekly in more than 60 newspapers across the US and internationally. His investigative credentials are substantive. He was part of the Miami Herald team awarded the 1987 Pulitzer Prize for uncovering the Iran-Contra affair – a grounding in primary-source journalism that has shaped every argument he has made since. His awards from El País (Ortega y Gasset, 1993), Columbia University (Maria Moors Cabot, 1998), and the Spanish news agency EFE (King of Spain Award, 2001) confirm a standing in the Spanish-speaking world that extends well beyond the conference circuit. His book The Robots Are Coming! (Vintage/Random House, 2019) applied that same investigative rigour to the future-of-work debate. Oppenheimer interviewed Oxford economists, Silicon Valley engineers, and sector specialists across Japan, South Korea, Israel, and Europe to build a profession-by-profession account of what automation is actually doing to legal work, banking, medicine, and manufacturing – and what the evidence says about whether new industries will replace what is being lost. The earlier Innovate or Die! (2014) set out his argument that innovation capacity is the defining variable in national competitiveness in the knowledge economy. As anchor of “Oppenheimer Presenta” on CNN en Español, he interviews heads of state, policymakers, and business leaders across a region that remains both strategically critical and consistently misread by organisations operating from outside it. That combination – live political intelligence, investigative depth, and a published analytical framework on automation and competitiveness – is what distinguishes his contribution in a board conversation on international risk. Key speaking topics Geopolitics and political risk across the Americas AI, automation, and the future of work Latin American economic trends and competitiveness Innovation strategy in the knowledge economy The impact of automation on professional sectors Global economic forecasting and scenario analysis Ideal for C-suite and board-level leaders in organisations with commercial exposure or operations across Latin America and the Americas Risk, strategy, and policy leads navigating geopolitical uncertainty in international markets Senior leadership teams examining the intersection of AI-driven workforce disruption and macroeconomic risk Global business conferences and economic forums seeking analytical depth on hemispheric political and technological change Audience outcomes A clearer framework for understanding how geopolitical risk and automation interact as compounding – not separate – forces on competitive strategy Sector-specific insight into which professional roles and industries face the earliest automation pressure, grounded in published research rather than prediction A more accurate and current picture of Latin American political and economic dynamics, drawn from active reporting rather than retrospective analysis A working understanding of why innovation capacity determines national and organisational competitiveness in the knowledge economy Confidence to brief boards and senior colleagues on the forces reshaping international markets – with the evidence and context to withstand scrutiny

Why organisations work with Ayanna Howard Her lab produced the first peer-reviewed algorithms quantifying how robot mistakes erode human trust – including in emergency scenarios where people followed automated systems away from clearly marked exits. That finding reframes the AI governance question from “is our system accurate?” to “are our people dangerously deferring to it?” Her book Sex, Race, and Robots (2021) makes a specific, falsifiable argument: AI bias originates with the designer, not the data. That argument changes where leadership teams assign accountability – and what they need to do before deployment, not after. She holds board seats at Autodesk and Motorola Solutions while running one of the largest engineering schools in the US. She understands AI decisions from lab to boardroom, and she speaks to both with equal authority. Zyrobotics, the company she founded from her Georgia Tech research, has commercialised AI for children with motor and cognitive challenges – she has direct product experience of translating research into regulated, real-world applications. As the 2021–2022 ACM Athena Lecturer and a Fellow of IEEE, AAAI, AAAS, and the National Academy of Inventors, her credentials carry weight in technical due diligence conversations as well as executive ones. Biography highlights Dean of the College of Engineering, The Ohio State University – first woman in the role; manages a $360M annual budget, 12 departments, and 11,900+ students Senior Robotics Researcher and Deputy Manager, Office of the Chief Scientist, NASA Jet Propulsion Laboratory – contributed to Mars rover and arctic robotics programmes Named 2021–2022 ACM Athena Lecturer for fundamental contributions to accessible human-robotic systems and AI Author of Sex, Race, and Robots: How to Be Human in the Age of AI (Audible Studios/Brilliance Audio, 2021) Fellow of IEEE, AAAI, AAAS, and National Academy of Inventors; elected member of the American Academy of Arts and Sciences Independent director, Autodesk Inc. and Motorola Solutions Inc. boards Founder, Zyrobotics – Georgia Tech spin-off developing AI-powered educational and therapy products for children with special needs Named to Forbes America’s Top 50 Women in Tech and Business Insider’s 23 Most Powerful Women Engineers; featured in TIME, Vanity Fair, CNN, and NPR Biography When an AI system makes a flawed decision, most organisations blame the data. Ayanna Howard’s research makes a harder argument: bias in AI is a design failure, and it traces directly to who builds the system. Her audiobook Sex, Race, and Robots (2021) put that argument to a public audience. Her more than 250 peer-reviewed publications put it to the scientific record. Her experimental work sharpens the stakes. Howard’s Human-Automation Systems Lab produced the first algorithms to quantify how robot mistakes erode human trust – including in emergency scenarios, where research subjects followed an automated guide away from clearly marked exits. The implication is direct: humans are overtrusting AI systems in ways that matter for consequential decisions in healthcare, hiring, and security. Her authority on these questions reaches across three distinct domains. She spent twelve years at NASA’s Jet Propulsion Laboratory – as Senior Robotics Researcher and Deputy Manager in the Office of the Chief Scientist – developing autonomous systems for Mars and arctic terrain. She then led one of the US’s most productive human-robotics labs at Georgia Tech. She now serves as Dean of Engineering at The Ohio State University – its first female dean – overseeing twelve departments, a $360M budget, and more than 11,900 students. Howard also holds board seats at Autodesk and Motorola Solutions, and founded Zyrobotics, which translates her research into AI-powered educational and therapy products for children with special needs. She is a Fellow of IEEE, AAAI, AAAS, and the National Academy of Inventors, and the 2021–2022 ACM Athena Lecturer. For boards and leadership teams asking serious questions about AI governance, she offers peer-reviewed research, institutional scale, and direct commercial accountability – in the same person. Key speaking topics AI bias and responsible system design Human overtrust in automated systems Human-robot interaction and trust Assistive and healthcare robotics AI governance and ethics AI in business: risk and opportunity Engineering leadership and workforce diversity in STEM Ideal for Corporate boards and C-suite leaders with AI governance responsibility Chief Technology Officers and Chief Digital Officers overseeing AI deployment R&D and innovation leadership in technology, healthcare, and manufacturing organisations Engineering and technology leadership development programmes Audience outcomes A specific reframe of AI accountability: bias is a design responsibility, not a data problem – with implications for who in the organisation owns it Evidence-based understanding of how humans overtrust automated systems, and what that means for governance and deployment decisions Practical criteria for evaluating AI systems before they are placed in consequential roles Clearer understanding of where workforce diversity in technical teams changes AI outcomes – and how to make the case internally A more confident, evidence-grounded position for boards and leadership teams facing AI adoption decisions

Why organisations work with Byron Reese He places today’s AI moment inside a 100,000-year arc of technology shifts, giving senior leaders a framework for long-range decisions that vendor briefings cannot supply. As CEO of Gigaom, he sits at the intersection of independent technology analysis and operating leadership, which lets him speak to both the engineering reality and the boardroom question. His five books, published by Simon & Schuster and BenBella, take positions on machine consciousness, automation, and the future of work that are specific and contestable, not generic optimism. He addresses AI without the doom-or-hype binary that dominates the speaking circuit, which is what most leadership audiences are quietly asking for. Biography highlights CEO and publisher of Gigaom, an independent technology research firm. Author of five books, including The Fourth Age (Simon & Schuster, 2018), described by The New York Times as “entertaining and engaging”. Founder of multiple technology companies, with two NASDAQ IPOs and several US patents to his name. Hosts podcasts on artificial intelligence, including Voices in AI and The Agora Podcast. Featured in The New York Times, The Washington Post, NPR, Bloomberg Businessweek, USA Today and the Financial Times. Bloomberg Businessweek credited him with “quietly pioneer[ing] a new breed of media company”. Biography Most futurists work in five-year horizons because that is what corporate planning cycles demand. The cost is that the most important question, which is what AI actually does to the human story, gets answered by analogy and anecdote rather than by argument. Byron Reese works in a different timeframe. In The Fourth Age, published by Simon & Schuster in 2018, he argues that technology has reshaped humanity three times: fire and language, agriculture and cities, the wheel and writing. Artificial intelligence and robotics, he argues, are now driving the fourth. The book reframes machine consciousness, automation and the future of work as questions of philosophy and history rather than software roadmaps, and The New York Times called it “entertaining and engaging”. His credibility is operational as well as intellectual. As CEO and publisher of Gigaom, he runs one of the better-known independent technology research firms. Before that he founded and sold multiple companies, took two through NASDAQ IPOs, and built consumer internet platforms that Bloomberg Businessweek described as “a new breed of media company”. He holds several US patents in crowdsourcing and content technology. Reese is, by his own description, the “Future of” guy: he has written and spoken on the future of AI, work, banking, education, agriculture, and the planet. His later books, Stories, Dice, and Rocks That Think and We Are Agora, extend the same long-range argument into how humans forecast and how human collectives behave. The thread that connects all of it, and the reason boards keep booking him, is that he is willing to take a position on where this is going. Key speaking topics Artificial intelligence and the future of work The long arc of technology and human civilisation Automation and workforce redesign Machine consciousness and AI ethics Innovation in conditions of rapid technological change Reasoned optimism as a leadership stance on technology The future of education, banking and agriculture Ideal for Boards and executive teams setting long-range AI and automation strategy CHROs and workforce planners redesigning roles around AI capability Innovation and strategy leaders in financial services, education and industrial sectors Conference audiences looking for a substantive counterweight to AI hype and AI doom Audience outcomes A clearer mental model of where AI sits in the longer history of human technology Sharper questions for internal AI strategy conversations, particularly on workforce and capital allocation A credible counter-position to the dominant doom-or-hype framing of AI in the press A specific account of how automation reshapes employment, drawn from Reese’s published argument rather than generic forecasts Renewed confidence that leadership decisions on technology can be made with intellectual rigour, not faith

Why organisations work with Carl Frey The 2013 paper Frey co-authored with Michael Osborne – estimating 47% of US jobs at risk from automation – is one of the most cited works in social science of the past two decades, with its methodology adopted by Obama’s Council of Economic Advisors, the World Bank, and the Bank of England. No comparable speaker in this space brings this level of intellectual provenance to the conversation. His concept of the “technology trap” gives boards a precisely named mechanism for diagnosing their own institutional response to AI: the pattern by which efforts to resist short-term disruption deny organisations the long-term gains that technology makes possible. How Progress Ends (Princeton, 2025) addresses the question now at the top of most board agendas – why do some organisations and nations sustain the capacity to benefit from new technology while others stagnate – and gives senior leaders a durable, historically grounded answer rather than a forecast. His analysis is built on 1,000 years of economic history, not current trend extrapolation. That means the framework he offers survives the next wave of AI announcements rather than becoming obsolete with each new model release. Advisory roles with the G20, OECD, European Commission, and OECD Global Partnership on Artificial Intelligence mean he brings regulatory and policy intelligence that most academic speakers lack – organisations understand not just the technology but the governance environment forming around it. Biography highlights Dieter Schwarz Associate Professor of AI & Work, Oxford Internet Institute; Fellow of Mansfield College; Director, Future of Work Programme, Oxford Martin School, University of Oxford Co-author of “The Future of Employment” (2013, with Michael Osborne) – one of the most cited social science papers of the past two decades; 20,000+ citations on Google Scholar; methodology adopted by Obama’s Council of Economic Advisors, the World Bank, and the Bank of England Author of The Technology Trap (Princeton University Press, 2019) – Financial Times Best Books of the Year; winner of the Richard A. Lester Prize for Outstanding Book in Industrial Relations and Labour Economics (Princeton University) Author of How Progress Ends (Princeton University Press, 2025) – shortlisted for the FT/Schroders Business Book of the Year Award; finalist for the Lionel Gelber Prize Advisor to the G20, OECD, European Commission, and United Nations; former member of the OECD Global Partnership on Artificial Intelligence and the World Economic Forum’s Global Future Council on the New Economic Agenda Ranked in the top 0.5% of economists worldwide by IDEAS/RePEC; contributor to the Financial Times, Wall Street Journal, Foreign Affairs, Scientific American, and The Economist (By Invitation) Biography The paper that put 47% of US jobs at risk of automation – co-authored at Oxford by Carl Benedikt Frey and Michael Osborne in 2013 – reshaped the global policy debate and became one of the most cited works in social science that decade. Obama’s Council of Economic Advisors used its methodology. So did the World Bank and the Bank of England. The Economist later described Frey as an “accidental doom-monger”: his own reading of the evidence was considerably more nuanced than the headlines. That nuance became the subject of his first book. The Technology Trap (Princeton, 2019) – Financial Times Best Book of the Year and winner of Princeton’s Richard A. Lester Prize – argued that the real risk of automation is not that work disappears, but that organisations and governments mismanage the transition. Drawing on the Industrial Revolution and the Computer Revolution, Frey named the failure mode precisely: resistance to short-term disruption, he showed, tends to deny access to the long-term gains. His 2025 book How Progress Ends – shortlisted for the FT/Schroders Business Book of the Year Award – extends the framework to the question now central to board strategy: why do some organisations and nations sustain the capacity to benefit from new technology while others stagnate? Frey’s answer, built from 1,000 years of economic history spanning Song China to the present, identifies the balance between decentralised innovation and the institutional capacity to scale as the deciding factor. As Dieter Schwarz Associate Professor of AI & Work at Oxford’s Internet Institute and Director of the Future of Work Programme at the Oxford Martin School, Frey advises the G20, OECD, European Commission, and United Nations. His analysis appears in the Financial Times, Wall Street Journal, Foreign Affairs, and Scientific American. IDEAS/RePEC ranks him in the top 0.5% of economists worldwide. Key speaking topics Automation, AI, and labour market transformation The technology trap: historical lessons for the age of AI Why progress stalls – and what organisations and nations can do about it Workforce strategy in an era of technological disruption AI, inequality, and the distribution of economic gains Industrial policy and the geopolitics of technological leadership The economics of innovation: decentralisation, scaling, and competitive advantage Ideal for Boards and C-suite leadership teams navigating AI investment decisions and long-term workforce strategy CHROs and transformation leads developing evidence-based frameworks for workforce planning under conditions of technological disruption Policy and public affairs functions in sectors facing direct automation exposure – financial services, professional services, manufacturing Strategy and scenario planning teams in organisations with significant AI or digital transformation programmes Audience outcomes A historically grounded framework for distinguishing automation that displaces workers from technology that expands what workers can do – and why the difference matters for investment decisions A working understanding of the “technology trap” mechanism: how to identify institutional resistance before it becomes strategically costly Concrete criteria for evaluating workforce and AI investment decisions against historical patterns of disruption, transition, and recovery Insight into the macro-economic and geopolitical conditions shaping AI adoption – including what the US-China competition for technological leadership means for business strategy Sharper language and stronger evidence for board-level conversations about AI, workforce, and long-term competitive positioning

Why organisations work with Sir Christopher Pissarides The Diamond-Mortensen-Pissarides model – the standard tool used by central banks and governments to analyse unemployment and wage formation – means his analysis carries a precision and institutional grounding that macroeconomic commentary cannot match. His Pissarides Review into the Future of Work and Wellbeing, a Nuffield Foundation-funded programme conducted with Imperial College London and Warwick Business School, converts macroeconomic research into concrete, evidence-based frameworks for managing workforce disruption from automation. Forty years of advisory work for the World Bank, European Commission, OECD, and Bank of England means audiences receive analysis that has already shaped the policy environment they operate in – not analysis that describes it from the outside. His position as co-developer of the most cited model in labour economics, and former chair of a national economy council during a financial crisis, enables board-level conversations that translate structural theory directly into strategic workforce decisions. His analysis of AI and automation extends the search-frictions framework behind his Nobel Prize – it is not speculative commentary, but a rigorous continuation of four decades of original research applied to a new generation of technological disruption. Biography highlights Nobel Prize in Economic Sciences 2010, jointly with Peter Diamond and Dale Mortensen, for “analysis of markets with search frictions” Regius Professor of Economics, London School of Economics – faculty member since 1976; former Head of the Economics Department Co-developer of the Diamond-Mortensen-Pissarides (DMP) model – the standard global tool for analysing unemployment, wage formation, and labour market policy Author of Equilibrium Unemployment Theory (MIT Press) – the standard reference in labour economics Co-Founder and Co-Chair, Institute for the Future of Work (2018); led the Pissarides Review into the Future of Work and Wellbeing, a £1.8m Nuffield Foundation-funded programme with Imperial College London and Warwick Business School Knighted 2013 for services to economics; IZA Prize in Labor Economics 2005; Fellow of the British Academy, Econometric Society, and American Economic Association; adviser to the World Bank, European Commission, OECD, and Bank of England Biography The Diamond-Mortensen-Pissarides model is the standard analytical framework for understanding unemployment. Sir Christopher Pissarides co-built it at the London School of Economics, where he has been on the faculty since 1976. He received the 2010 Nobel Prize in Economic Sciences for the work, jointly with Peter Diamond and Dale Mortensen. The model’s core claim is that labour markets are governed by frictions. Workers and vacancies do not find each other efficiently. Search costs, information gaps, and institutional design create persistent mismatches that no increase in job openings can resolve on its own. This structural view of unemployment is the one that central banks, the World Bank, and the European Commission reach for when they need precision rather than commentary. Pissarides co-founded the Institute for the Future of Work in 2018 and led the Pissarides Review into the Future of Work and Wellbeing, a Nuffield Foundation-funded programme conducted with Imperial College London and Warwick Business School. The Review applies his frictions framework to automation and AI, producing evidence on how technological disruption creates new mismatches and what organisations and governments must do to manage them. His advisory record spans the World Bank, the European Commission, the OECD, and the Bank of England. He chaired the National Economy Council of the Republic of Cyprus during its financial crisis. He is a Fellow of the British Academy, the Econometric Society, and the American Economic Association. For boards and leadership teams working through structural workforce questions, his analysis carries a weight that secondary interpretation of the same data cannot replicate. Key speaking topics Labour market economics and unemployment theory Search frictions and job matching Automation, AI, and the future of work Workforce disruption and structural economic change Employment policy and institutional design Economic growth and structural transformation Worker wellbeing and productivity Ideal for Boards and C-suite leadership navigating long-term workforce and employment strategy Policymakers, finance ministries, and government economic advisers Chief Human Resources Officers and HR leadership teams grappling with automation and structural workforce change Economic and business conferences addressing labour markets, growth, or the workforce consequences of technology Audience outcomes A structural model for why labour markets underperform that goes beyond cyclical explanations Analytical tools for assessing how automation and AI will affect workforce composition in specific sectors or regions A framework for distinguishing cyclical workforce disruption from structural change that requires institutional response Policy context for decisions on hiring, reskilling, and workforce investment Clarity on how technological change distributes economic gains and losses – and what factors determine which outcome prevails

Why organisations work with Cornel Amariei Operator credibility on both sides of the innovation question: ran innovation as Head of Innovation at Continental Automotive with patents adopted across European electric vehicles, then built .lumen from research project to a venture-backed company. Built the first Romanian company to receive EIC Accelerator funding, with a €9.7M blended finance package and a €5M January 2025 round led by Catalyst Romania alongside the EIC Fund. The story is a working playbook on European deep-tech capital formation. Working at the intersection of autonomous driving, robotics and assistive technology, with a defensible patent portfolio. Useful to leadership teams thinking about how to convert AI and sensor capability into a product proposition with a real customer. Recognition from credible institutions, not bureau awards: Forbes 30 Under 30 Europe, JCI Ten Outstanding Young Persons of the World, Global Business Hall of Fame. A personal stake that travels well into corporate audiences. Grew up in a family where every member had a disability, and built a company that addresses an underserved global market of 40 million blind people. Authority on social impact ventures without the activist framing. Biography highlights Founder and CEO, .lumen. Pedestrian Autonomous Driving technology, first deployed in glasses for blind users. Former Head of Innovation, Continental Automotive. Patents applied in European electric vehicles. First Romanian inductee, Global Business Hall of Fame, 2021. Innovators category, alongside Canva’s Melanie Perkins. Forbes 30 Under 30 Europe; JCI Ten Outstanding Young Persons of the World. Author, “Arduino Development Cookbook” (Packt Publishing, 2015). Alumnus, Constructor University (formerly Jacobs University Bremen). Biography A research project inside a Romanian engineering team in 2018 became, by early 2020, a venture called .lumen. By 2025 the company had closed a €5M round led by Catalyst Romania with the European Innovation Council Fund and Tigrim Capital alongside it, the latest tranche in a €9.7M blended finance package that made it the first Romanian startup to take EIC Accelerator capital. The product, Pedestrian Autonomous Driving, was first demonstrated in glasses that replicate and extend the function of a guide dog. The global addressable problem is concrete: roughly 40 million blind people, fewer than 20,000 guide dogs. The biography behind the company matters because it explains the design choice. Cornel Amariei grew up in a family where every member had a disability: parents with locomotor conditions, a sister with cerebral palsy. The motivation is not a brand layer on top of a venture. It is the reason the venture exists. Before .lumen, Amariei was Head of Innovation at Continental Automotive, where his patent work was integrated into European electric vehicles. That experience matters for boards thinking about innovation governance. He has run the discipline inside a multinational tier-one and built it from scratch as a founder, which is rare in a market where most speakers have done only one. The recognition is from named institutions: Forbes 30 Under 30 Europe, JCI’s Ten Outstanding Young Persons of the World, and induction into the Global Business Hall of Fame in 2021 as the first Romanian laureate, in the innovators category alongside Canva founder Melanie Perkins. He is also a published technical author with Packt and an alumnus of Constructor University in Bremen. Key speaking topics Deep-tech entrepreneurship and scale-up leadership Innovation management inside multinationals Assistive technology and accessibility ventures Autonomous driving and robotics applied to consumer products Patent strategy and IP-led product development European deep-tech capital and the EIC Accelerator route Social impact through technology commercialisation Ideal for Innovation, R&D and CTO leadership inside industrials, automotive and consumer technology Boards and executive committees reviewing how invention is governed and converted to product ESG, accessibility and inclusion programmes seeking a credible technology voice rather than an activist one Entrepreneurship summits, deep-tech investor events and scale-up programmes across Europe Audience outcomes A working view of how a research prototype becomes a regulated, funded, commercial product A founder’s account of building patent value inside both a multinational and a startup A grounded reference point for what European deep-tech capital, including EIC blended finance, actually requires of a company A clearer sense of where assistive and accessibility technology is going as autonomous driving capabilities scale down to wearables A reset on what social impact looks like when it is a product proposition rather than a corporate programme

Why organisations work with Dalia Marin Her peer-reviewed research links automation, trade-policy uncertainty, and reshoring in a single empirical model, giving leadership teams a defensible basis for supply-chain decisions rather than a narrative. She translates between the Brussels and Berlin policy worlds and the corporate boardroom, drawing on advisory work with the European Commission, the EBRD, and the IMF. Her Project Syndicate column is a running public reference point on deglobalisation, German deindustrialisation, and the labour-market consequences of AI, read by policy and business readers across Europe. She is one of the few senior economists who has tracked the German industrial model, and the Eastern European production network around it, continuously since the 1990s. That long view matters when companies are re-assessing the same geographies. Biography highlights Chair in International Economics, TUM School of Management, Technical University of Munich. Non-resident Fellow at Bruegel and Research Fellow at the Centre for Economic Policy Research. Former Professor of International Economics at Ludwig-Maximilians University Munich (1998 to 2017). Co-editor of “The Organization of Firms in a Global Economy” (Harvard University Press, 2008) with Elhanan Helpman and Thierry Verdier. Co-author of “Global Value Chains in a World of Uncertainty and Automation”, Journal of International Economics, 2025. Visiting appointments at Harvard, Stanford, NYU Stern, the IMF, the NBER, and the European University Institute. Project Syndicate columnist on deglobalisation, industrial policy, and the future of the German economic model. Biography The reshoring debate has moved past the slogan stage. Firms are actually pulling production back to high-income economies, and the economic literature is starting to explain why. Trade-policy uncertainty and cheaper industrial robots, working together, are restructuring global supply chains in ways that a decade of offshoring logic did not anticipate. That is the core argument of Marin’s recent work, co-authored in the Journal of International Economics in 2025. Her research shows that exposure to uncertainty in developing-country suppliers pushes production back to high-income countries, but only where robots have made it economically feasible. For a senior operations or strategy audience, this is a usable frame: reshoring is not a political mood, it is a measurable response to two forces that can be modelled. The wider body of work runs through Bruegel, CEPR, and a sustained Project Syndicate column. She has written continuously on the German economic model, the Eastern European production network built around it, and the inflationary and labour-market consequences of a partial retreat from globalisation. Her advisory work with the European Commission, the EBRD, and the IMF sits alongside the academic record rather than replacing it. She was Chair in International Economics at Ludwig-Maximilians University Munich for almost two decades before moving to TUM. Visiting appointments at Harvard, Stanford, NYU Stern, the IMF, and the NBER place her inside the network of economists who set the terms of the trade-policy debate. The value for a corporate audience is that she can connect that technical conversation to the question actually on the table: what does the next decade of supply-chain strategy look like when the old globalisation assumptions no longer hold. Key speaking topics Deglobalisation and the restructuring of global supply chains Automation, robots, and reshoring The German economic model and European competitiveness International trade policy and geopolitical risk Multinational firms and the organisation of global production Industrial policy in Europe and the United States Inflation, labour markets, and the economics of deglobalisation Ideal for Boards and executive committees reassessing supply-chain footprint in light of tariffs, geopolitical risk, and automation CSOs, Heads of Strategy, and COOs responsible for manufacturing and sourcing decisions in industrial and export-led businesses Policy forums, investor conferences, and economic summits focused on Europe, Germany, and the future of global trade Senior leadership in financial institutions and multinational corporates with significant exposure to Eastern Europe and the German industrial base Audience outcomes A clear read of the empirical evidence on reshoring, automation, and trade-policy uncertainty, rather than the headline narrative A sharper view of where the German economic model is strong and where it is exposed, with implications for anyone doing business across the European industrial network A working framework for assessing which parts of a supply chain are candidates for reshoring and which are not A grounded perspective on the macro-economic consequences of deglobalisation, including effects on inflation and labour markets Language and evidence that senior leaders can use in their own board conversations on geopolitical and trade exposure

Why organisations work with Danilo McGarry He has run AI inside two of the largest regulated enterprises on the planet. Buyers get an operator who has defended budgets, cleared risk committees and shipped at scale, not a consultant describing other people’s work. His track record is tied to outcomes in the numbers. His work at Alter Domus is associated with a period of significant valuation growth, and his engagements are framed around measurable cost, revenue and risk impact rather than adoption metrics. He sits at the board-level interface of AI. He teaches on the Financial Times Board Directors Programme and advises the CIPD on AI, which means the language he uses lands with directors, not just technologists. He explains complex AI choices in terms non-technical leaders can act on. That is what earns him repeat invitations from banks, insurers, health systems and consultancies where the decision rests with a chief executive or a chair. Biography highlights Former Head of AI at Citigroup, leading enterprise AI and automation inside one of the world’s largest banks. Former Head of AI at UnitedHealth Group, operator of one of the largest software-robot estates in any healthcare business. Former Global Head of AI and Automation at Alter Domus, the fund services group, from December 2019. Strategic adviser on artificial intelligence to the Chartered Institute of Personnel and Development (CIPD). Faculty contributor to the Financial Times Board Directors Programme. Host of the “It’s All About AI” podcast; TEDx speaker; ranked on Thinkers360 and Onalytica lists of leading AI voices. Biography The hard part of enterprise AI is not the model. It is the decision to commit, the governance to contain the risk, and the operational grip to turn a working pilot into a line on the P&L. Danilo McGarry has spent his career on the inside of that problem. At Citigroup he led artificial intelligence and machine learning, launching automation and AI initiatives across capital markets operations. He then became a senior AI leader at UnitedHealth Group, where his remit included a programme of roughly 3,500 software “digital workers” embedded in one of the largest healthcare businesses in the United States. As Global Head of AI and Automation at Alter Domus from 2019, he built an AI and automation function inside a fund services firm through a period of significant growth. Earlier roles at JPMorgan and Royal Bank of Canada gave him the grounding in regulated operations that now sits under everything he says on stage. That operator track record is why boards listen. He is a faculty contributor to the Financial Times Board Directors Programme and strategic adviser on AI to the CIPD, which puts him in front of chairs, chief executives and people leaders making the governance calls. He is cited and quoted in outlets including the Financial Times, The Times, Bloomberg, Forbes and WIRED, and ranks on Thinkers360 and Onalytica lists of leading voices in AI and intelligent automation. His argument on stage is practical. Treat AI as an operating-model question, not a tooling question. Pick the handful of processes where the economics are real, industrialise them, and build the governance that lets the next wave scale without fresh permission every time. It is a message that lands with leadership teams who are tired of pilot decks and want to know what to do on Monday. Key speaking topics Enterprise AI strategy AI operating models and governance Intelligent automation at scale AI in financial services and healthcare Board-level AI literacy Digital workers and the future of operations Responsible AI adoption Ideal for Boards and chief executives setting enterprise AI policy and investment envelopes. CIOs, CDOs and heads of transformation running AI and automation portfolios. CHROs and people leaders rethinking workforce design around AI and digital workers. Regulated-sector leadership teams in banking, insurance, asset servicing and healthcare. Audience outcomes A clearer view of where AI actually moves the numbers inside their own operating model. A working vocabulary for the governance, risk and workforce questions AI creates at board level. Concrete reference points from AI deployments inside Citigroup, UnitedHealth Group and Alter Domus. A sharper read on which AI investments industrialise and which stay trapped as pilots. Confidence to set the next twelve months of AI priorities with fewer, better bets.

Why organisations work with David Hanson He built Sophia. Few speakers on AI can point to a single, globally recognised artefact of their work that has been granted citizenship by a nation state and appointed the UN Development Programme’s first Innovation Champion. His perspective combines sculpture, materials science and AI in a way almost no other robotics founder can credibly claim. RISD-trained, Disney Imagineering-trained, PhD from UT Dallas, peer-reviewed in IEEE and SPIE. He has built and run a robotics company through the commercial reality of hardware, not just the AI software conversation. That grounds his view of where human-facing AI actually works and where it does not. The 2005 AAAI first-place prize for open AI system interaction, Tech Titans Innovator of the Year, and Sophia’s 2018 Edison Award give the innovation claim a named, credible track record rather than a marketing line. He is one of the small group of AI voices who can hold a serious conversation about ethics, emotional design and commercial deployment in the same session. That is what executive audiences increasingly want from the topic. Biography highlights Founder and CEO of Hanson Robotics, Hong Kong Creator of Sophia, the first robot granted honorary citizenship (Saudi Arabia, 2017) and UN Development Programme’s first Innovation Champion Sophia awarded a 2018 Edison Award in robotics Co-recipient of the 2005 AAAI first-place prize for open interaction of an AI system PhD, Interactive Arts and Technology, University of Texas at Dallas; BFA, Rhode Island School of Design Co-author, “The Coming Robot Revolution” (Springer, 2009); author, “Humanizing Robots” Former Walt Disney Imagineer; earlier design and robotics roles at Universal Studios and MTV Featured in the New York Times, WIRED, Scientific American, Popular Science, BBC and CNN Biography Sophia was activated in February 2016 and made her first public appearance weeks later at SXSW. Within eighteen months she had honorary Saudi Arabian citizenship and a UN title, and David Hanson’s company, Hanson Robotics, had become the reference point for what a human-facing robot could look like. The artefact was the argument. The background behind that artefact is unusual. Hanson trained at the Rhode Island School of Design in film, animation and video, then spent years as a sculptor and material researcher inside Disney Imagineering before taking a PhD in Interactive Arts and Technology at the University of Texas at Dallas. The skin materials, the expression mechanisms and the facial architecture on his robots come from that rare combination of arts practice and engineering. The research record sits alongside it. Papers in IEEE, SPIE, IROS, AAAI and AI Magazine. A Springer-published co-authored book, “The Coming Robot Revolution”. A 2005 AAAI first-place prize for open AI system interaction. NASA and NSF awards. Tech Titans Innovator of the Year. His own company, founded in 2013 and scaled out of Hong Kong, building robots now deployed in research, therapy and education. For executive audiences, the value is a founder who can speak with authority about where human-facing AI is heading, how ethical and emotional design choices get made inside a real robotics programme, and what changes for industries from healthcare to customer experience when the machine has a face. Sophia is the headline. The argument behind her is why leadership teams book him. Key speaking topics Humanoid robotics and social AI Human-robot coexistence in work and everyday life AI ethics and responsible development The design and engineering behind Sophia Science fiction, storytelling and the shaping of real-world robotics The future of AI in healthcare, education and customer-facing industries Ideal for Executive teams and boards setting strategy for AI-mediated customer, patient or citizen interaction Innovation, R&D and technology leadership in healthcare, education, hospitality and customer experience Corporate conferences, industry summits and innovation festivals seeking a founder-level voice on human-facing AI Audiences exploring AI ethics, emotional design and the societal consequences of humanoid machines Audience outcomes A grounded view of where humanoid AI is today, told by the person who built the most visible example of it A clear read on the commercial sectors most likely to be reshaped by social robotics over the next decade The ethical questions serious robotics programmes are actually wrestling with, not the media version of them A sense of how arts, materials science and engineering combine to produce AI that people trust and engage with Direct exposure to Sophia when the format permits, and an informed discussion of what that interaction implies for their own organisation

Why organisations work with Dominik Boesl Operating credibility from two of the most consequential robotics manufacturers in Europe: KUKA, where he co-managed the market launch of the LBR iiwa, the first industrially certified collaborative robot, and Festo, where he ran a robotics division spanning five international R&D centres. A governance perspective rooted in formal institutional work, not commentary: VP roles in the IEEE Robotics and Automation Society, Global Chair of the IEEE TechEthics Initiative, and founder of the Robotics & AI Governance Foundation. A named intellectual contribution. The “4 Robotic Revolutions” model, co-developed with Bernd Liepert and presented at IEEE IROS, gives audiences a working frame for where robotics sits today and what comes next. Policy-level reach into the UN system through the UN DESA expert group on AI and robotics for the Sustainable Development Goals, useful for boards weighing the regulatory direction of travel. Research that informs strategy rather than describing it: he leads the Robotics 2050+ Global Delphi Study, a long-range scenario programme supported by IEEE. Biography highlights Professor of Digital Sciences, Automation & Leadership, HDBW Munich; Adjunct Professor, TUM Institute for LifeLong Learning Founder, Robotics & AI Governance Foundation; founder and CEO, Innomancer Thinktank Former VP and Head of Robotics, Festo AG; former Principal Corporate Innovation Manager and VP Consumer Driven Robotics, KUKA AG Past VP for Industrial Activities, IEEE Robotics and Automation Society; past Global Chair, IEEE TechEthics Initiative Member of the UN DESA expert group on AI and robotics for the Sustainable Development Goals Co-author of the “4 Robotic Revolutions” framework (IEEE IROS 2016) and lead of the Robotics 2050+ Delphi Study Biography The collaborative robotics market did not exist as a commercial category until a small group of teams, including the one Boesl worked in at KUKA, navigated the LBR iiwa through the safety standards that made human-machine co-working legally and operationally viable. That kind of work, sitting at the join between engineering, regulation, and commercial deployment, is what informs the way he now advises boards. After KUKA he ran the robotics division at Festo, overseeing five international R&D centres and the development of the Festo BionicCobot, the first pneumatic collaborative robot. The combination of two senior operating roles at two of the most credible robotics businesses in Europe is unusual on its own. It becomes more so when paired with chair-level institutional work: VP for Industrial Activities at the IEEE Robotics and Automation Society, and Global Chair of the IEEE TechEthics Initiative for five years. His academic and policy work extends the same agenda. As Professor of Digital Sciences at HDBW Munich and an adjunct at the TUM Institute for LifeLong Learning, he leads the Robotics 2050+ Global Delphi Study, a long-range scenario programme on the future of robotics and AI. Through the Robotics & AI Governance Foundation and a seat on the UN DESA expert group, he contributes to how governments and standards bodies think about autonomous systems and the Sustainable Development Goals. What this means for buyers is straightforward. When a board asks where the line should sit between human and machine decision-making, or how to make AI deployment defensible to a regulator, Boesl is one of the few voices in Europe who can answer from the engineering side, the standards side, and the policy side at once. Key speaking topics Robotics and human-machine collaboration AI governance and technology ethics Industry 4.0 and operational deployment of automation Strategic foresight and long-range scenario planning Responsible innovation in regulated industries The future of work in robotic and AI-enabled organisations Ideal for Boards and executive committees setting AI and automation strategy in industrial, manufacturing, and engineering-led organisations Chief technology, chief digital, and chief AI officers responsible for moving from pilots to deployment Heads of innovation, R&D leadership, and corporate strategy teams in industrial groups and Mittelstand manufacturers Policy, public affairs, and ESG leaders tracking the regulatory direction of AI and robotics Audience outcomes A clearer map of where robotics and AI sit today against the “4 Robotic Revolutions” frame, and what the next phase actually demands of an operating business A working vocabulary for AI governance that a board can use with regulators, auditors, and internal risk functions Specific reference points from KUKA and Festo on what it takes to deploy collaborative robotics inside an industrial operation A perspective on long-range scenarios drawn from the Robotics 2050+ Delphi research, rather than commentary A sharper sense of where the human-machine boundary should sit for the organisation’s own workforce design

Why organisations work with Elena García Armada She has done what most deep-tech founders only describe: taken a robotics breakthrough from CSIC laboratory bench into certified clinical use, through a company she still runs. Her European Inventor Award Popular Prize from the European Patent Office gives her a credential most innovation speakers cannot match, anchored in a specific patented invention, not a body of opinion. She speaks fluently across two worlds that rarely meet on the same stage: tenured senior scientist at CSIC and CEO of a regulated medical device company, with operational responsibility for staff, capital, and clinical outcomes. Her work sits at the intersection of robotics, AI-driven control, and biomedical engineering, which makes her credible on the practical question of how emerging technologies translate into products under real regulatory and commercial constraints. Biography highlights CEO and co-founder of Marsi Bionics, the CSIC-UPM spin-off that brought paediatric exoskeletons to clinical use. Senior tenured scientist at the Centre for Automation and Robotics (CAR), CSIC-UPM, leading research on legged robots and exoskeletons. PhD in robotic engineering, Polytechnic University of Madrid; postdoctoral training at MIT’s Leg Laboratory. European Inventor Award Popular Prize 2022, European Patent Office; finalist EU Women Innovators Award 2021; Gold Medal of the Spanish Red Cross 2022. Author of “Los robots y sus capacidades” and “Robots” (Catarata / Editorial CSIC). Doctor honoris causa, Miguel de Cervantes European University, 2023; Premio Nacional Reina Letizia for Research and Innovation, 2023. Biography Most exoskeletons in research labs do not fit children. The mechanics, the weight, the control systems, and the regulatory pathway for a paediatric medical device are harder than the adult equivalents, and the commercial incentives to solve them are weaker. ATLAS 2030, the world’s first adaptable paediatric exoskeleton, exists because Elena García Armada chose to work on the harder version of the problem. The technical work began at the Centre for Automation and Robotics, the joint CSIC and Polytechnic University of Madrid centre where she is a senior tenured scientist. The commercial work began in 2013, when she co-founded Marsi Bionics as a CSIC spin-off to take the technology out of the lab and into rehabilitation centres and hospitals. Her credentials sit on both sides of that journey. Postdoctoral training at MIT’s Leg Laboratory on the research side; CEO of a regulated medical device company on the commercial side. The European Patent Office awarded her the Popular Prize of the 2022 European Inventor Award for the underlying invention, and the Spanish state has recognised the social impact with the Premio Nacional Reina Letizia and the Red Cross Gold Medal. What is unusual is not the recognition. It is that the same person holds the patent, runs the company, and answers for the clinical outcomes. That combination is rare in deep-tech innovation, and it is what makes her useful to boards thinking about how science-led ventures actually become businesses. Key speaking topics Deep-tech commercialisation Robotics and exoskeleton technology Biomedical engineering and assistive devices Innovation in regulated industries Science-led entrepreneurship AI-driven control systems in robotics Women in STEM and inclusive innovation Ideal for Boards and executive teams investing in or running deep-tech and medtech ventures Innovation, R&D and CTO functions seeking credible perspective on lab-to-market translation Healthcare and life-sciences leaders working on assistive and rehabilitation technology Audiences focused on STEM talent strategy and women in engineering Audience outcomes A concrete view of what it takes to move a robotics breakthrough from research into a regulated, commercial product A sharper sense of how academic science, patents, and venture-building reinforce one another when handled by the same hand Direct exposure to a working case of paediatric exoskeleton design, with the engineering, clinical, and commercial choices made visible A grounded perspective on the role of women in technical leadership of European deep-tech