Future of Technology

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 Zahaan Bharmal He sits inside Google at senior level, shaping how the company communicates AI to enterprise and policy audiences across EMEA. Boards get an insider’s read on where AI is actually heading, not a consultant’s deck. His book The Art of Physics gives him a developed framework for using ideas like uncertainty, entropy and chaos to interrogate strategic decisions. Audiences leave with a vocabulary for thinking, not a slide of takeaways. He founded YouTube Space Lab, the international science competition run with NASA, ESA and JAXA, and holds NASA’s Exceptional Public Achievement Medal. That is a credential almost no other corporate keynote speaker carries. He moves between physics, AI, government and frontier industry, advising the commercial space station company Vast. The result is a speaker who can talk to a board about AI strategy and to a STEM audience about scientific curiosity without changing register. Biography highlights Senior Director at Google, London, with seventeen years at the company across strategy, marketing and communications, including work with Google DeepMind. Author of The Art of Physics: Eight Elegant Ideas to Make Sense of Almost Everything (2024), published in the UK by Hodder and in North America by Greystone Books. Founder of YouTube Space Lab, run with NASA, ESA, JAXA and Lenovo, reaching students in over eighty countries. Recipient of NASA’s Exceptional Public Achievement Medal. Physics graduate of the University of Oxford and Fulbright Scholar with an MBA from Stanford University. Regular contributor on physics and space to The Guardian; advisor to commercial space station company Vast. Biography Frontier AI is being deployed inside organisations faster than most boards can build the judgement to govern it. The hard question is not what the technology can do. It is how to make defensible decisions when the underlying system is changing every quarter and the available evidence keeps shifting. That is the territory Zahaan Bharmal works in. As a Senior Director at Google with seventeen years at the company, he has led strategy and communications across marketing, operations and Google DeepMind, focused on how AI is understood and adopted by enterprise and policy audiences in Europe, the Middle East and Africa. He brings boards an insider’s view of how a frontier AI organisation actually thinks about deployment, risk and credibility. His book The Art of Physics, published in 2024 by Hodder in the UK and Greystone in North America, sets out eight ideas from physics, including uncertainty, entropy and chaos theory, and uses them to interrogate everyday decision-making. The argument carries weight because of where he sits: a physicist by training who has spent a career inside one of the companies building the systems that now sit on every executive agenda. Before Google, Zahaan studied Physics at Oxford, worked as a management consultant and then as a UK Government policy adviser, before winning a Fulbright Scholarship to Stanford for an MBA. He founded YouTube Space Lab with NASA, ESA and JAXA, the largest international school space science competition, for which he received NASA’s Exceptional Public Achievement Medal. He writes on science for The Guardian and advises Vast, the private company building commercial space stations. Key speaking topics Artificial intelligence and the practical limits of corporate decision-making Ideas from physics applied to leadership under uncertainty Science communication and public trust in AI Curiosity, complexity and innovation Resilience and composure in fast-moving systems The future of space and frontier industries Ideal for Board and executive committee sessions on AI strategy and responsible adoption Senior leadership audiences in regulated industries grappling with frontier technology decisions CHRO, CSO and transformation leads working on decision quality under uncertainty Innovation, R&D and STEM audiences inside scientific and engineering organisations Audience outcomes A clearer mental model for making decisions when the evidence base is moving Specific physics-derived heuristics for thinking about uncertainty, entropy and chaos in commercial contexts An insider’s view of how AI is being built, deployed and communicated inside a frontier technology company Renewed appetite for scientific curiosity as a leadership trait, not a soft skill

Why organisations work with Michelle K. Lee A rare three-sided view of AI: senior executive inside Google, Vice President of Amazon Web Services’ Machine Learning Solutions Lab, and a presidentially appointed agency head responsible for national IP and technology policy. Board-room credibility built on board service. Current director at MassMutual, Unity Technologies and The MIT Corporation, so audiences hear a peer, not a presenter. AI governance grounded in the law and the operating reality. Founder and CEO of Obsidian Strategies, advising on AI opportunity selection and the governance that goes with it. A track record of running AI at scale. Led a global AWS team that built machine learning into operations, customer experience and new revenue lines for clients across industries. Federal-scale execution. Ran the 10,000-person USPTO as the first woman to direct the agency, including its own AI strategy and digital modernisation. Biography highlights Founder and CEO, Obsidian Strategies, advising Fortune-class companies and boards on AI opportunities and AI governance. Former Vice President, Machine Learning Solutions Lab and Computer Vision, Amazon Web Services. Former Under Secretary of Commerce for Intellectual Property and Director of the U.S. Patent and Trademark Office, the first woman in the role. Former Deputy General Counsel and Head of Patents and Patent Strategy at Google. Board director: The MIT Corporation, MassMutual, Unity Technologies. Co-founder of ChIPs. MIT-trained computer scientist (B.S., M.S., EECS) and Stanford Law graduate (J.D.). Featured by the Wall Street Journal, Bloomberg, NPR, MIT Sloan Management Review, CES, SXSW, the World Knowledge Forum and the National Association of Corporate Directors. Biography Most boards have moved past the question of whether AI matters. The harder problem is which AI decisions belong with the board, which belong with the operators, and how to govern a technology whose capabilities and regulatory picture keep moving. Michelle K. Lee has worked that problem from every side of the table. At Google she spent eight years inside one of the most consequential technology companies of the era, ending as Deputy General Counsel and Head of Patents and Patent Strategy. At Amazon Web Services she ran the Machine Learning Solutions Lab and Computer Vision businesses as a Vice President, leading a global team that helped clients across industries build machine learning into operations, customer experience and new revenue lines. Few AI advisors have actually shipped AI at that scale. Between those roles she was appointed by the President to serve as Under Secretary of Commerce for Intellectual Property and Director of the U.S. Patent and Trademark Office, the first woman to hold the position. She ran a 10,000-person agency, set its own AI strategy, and was the principal advisor to the President on intellectual property policy. That public-sector vantage point is what makes her boardroom counsel on AI regulation and governance unusually grounded. Today she runs Obsidian Strategies, advising Fortune-class companies and their boards on where to deploy AI for material return and how to govern it credibly. She sits on the boards of MassMutual, Unity Technologies and The MIT Corporation, so the people she advises know she is making the same decisions in her day job. Key speaking topics AI strategy for the board and the executive team AI governance, ethics and regulation Generative AI: opportunities and operational risks Machine learning in customer experience and operations Digital transformation and innovation Intellectual property in the age of AI Director-level technology oversight Ideal for Boards and audit, risk or technology committees framing AI oversight and governance. CEO, CIO, CTO, Chief AI Officer and General Counsel audiences moving AI from pilot to production. Senior leadership offsites on AI strategy, regulation and competitive positioning. Industry events convening regulated sectors (financial services, insurance, healthcare, public sector) navigating AI policy. Audience outcomes A clearer view of where AI investment produces measurable return and where it does not. A practical board-level framework for AI governance, risk and accountability. A read on where AI regulation is heading and what it means for current strategy. A more honest conversation about generative AI: what to deploy, what to defer, and what to refuse. Confidence that the speaker has personally built, operated and regulated the technology under discussion.

Why organisations work with Zack Kass He built the commercial engine inside OpenAI that translated frontier research into deployed products, which is a different vantage point from any external futurist or consultant. His “Unmetered Intelligence” framework gives boards a concrete way to plan for AI as infrastructure, not as a vendor decision, and it travels into capital allocation conversations rather than staying inside the IT function. He works directly with the leadership teams of named global organisations, including Coca-Cola, Morgan Stanley, Microsoft, Deloitte, and Amgen, so the room recognises that the playbook has been pressure-tested against companies they compete with. His Wiley book, The Next Renaissance, is a USA Today, Publishers Weekly, and LA Times bestseller, which gives a CHRO or CIO a coherent reference for their executive team and not only a keynote. He is a recurring voice on Bloomberg and CNBC on AI risk, capital, and workforce impact, so the credibility check a buyer does after the call confirms the brief. Biography highlights Former Head of Go-To-Market at OpenAI; built the sales, partnerships, and customer success teams. Author of The Next Renaissance: AI and the Expansion of Human Potential (Wiley, 2026); USA Today, Publishers Weekly, and LA Times bestseller. Executive-in-Residence, University of Virginia McIntire School of Commerce. Founder of ZKAI LLC; author of the “Unmetered Intelligence” white paper. Advisor to Fortune 1,000 leadership teams including Coca-Cola, Morgan Stanley, Microsoft, Deloitte, PayPal, MetLife, TikTok, Amgen, and The Hartford. Recurring AI commentator for Bloomberg and CNBC; bylined contributor to Fortune. B.A., University of California, Berkeley. Biography OpenAI’s research only became a market because someone had to translate model weights into contracts, support, and adoption inside the world’s largest companies. That commercial scaffolding was built by the team Kass led as Head of Go-To-Market, and it is the unusual seat that shapes what he now offers to boards. The proposition is operational. Most leadership teams have approved AI pilots. Few have made the harder decisions about where intelligence sits in the workflow, who is accountable for outcomes, and what gets reorganised when cognitive capacity stops being scarce. Kass writes about that shift in his Wiley book, The Next Renaissance, and codifies it in his “Unmetered Intelligence” framework, which treats AI as infrastructure on the order of electricity rather than as a product category. The advisory base is concrete. Coca-Cola, Morgan Stanley, Microsoft, Deloitte, PayPal, MetLife, TikTok, Amgen, and The Hartford have all worked with him directly, and the case studies that surface in his keynotes are drawn from those rooms. Bloomberg and CNBC use him as a recurring voice on AI risk and capital allocation, and his Fortune writing pushes the same argument into wider business debate. He is also Executive-in-Residence at UVA McIntire, which keeps the research and the boardroom work on the same circuit. What boards take from him is a sharper read on the next two to three years of AI deployment, written in the language of operating decisions rather than technical features. The choices around workforce, capital, and capability sequencing are no longer theoretical for most executive teams, and Kass is one of the few voices who has watched them get made from the inside of the company that triggered them. Key speaking topics Applied AI strategy for Fortune 1,000 leadership teams The Unmetered Intelligence thesis AI deployment beyond pilots Workforce redesign in the age of AI The Next Renaissance: AI and human potential AI risk, regulation, and board governance Capital allocation and AI infrastructure Ideal for CEOs, CIOs, CTOs, and CHROs setting enterprise AI strategy Boards and audit committees pressure-testing AI risk and governance posture Senior leadership offsites focused on AI deployment and workforce redesign Industry conferences for financial services, technology, healthcare, and consumer goods Audience outcomes A clearer line between AI experimentation and the operating decisions that follow it A board-ready framing for AI as infrastructure, drawing on the Unmetered Intelligence thesis Specific reference points from named Fortune 1,000 deployments rather than generic case studies A defensible position on AI risk, capital allocation, and workforce impact to take back to executive teams

Why organisations work with Lewis Dartnell Translates planetary-scale science into commercial foresight that leadership teams can actually use in strategy work. Author of The Knowledge, a Sunday Times bestseller built around a question every operator should be able to answer: which technologies in your value chain are foundational, and which are replaceable. Connects geology, biology and climate to the present-day shape of supply chains, geopolitics and consumer behaviour, drawing on the Origins thesis translated into thirty languages. Brings broadcast-grade communication craft from BBC Horizon, Stargazing Live and a main-stage TED talk, calibrated for board and executive audiences, not lecture rooms. One of a small number of working research scientists who can hold a 45-minute keynote at the level required by a CEO offsite without losing scientific rigour. Biography highlights Professor of Science Communication, University of Westminster. PhD in Astrobiology, University College London. Former UK Space Agency Research Fellow at the University of Leicester. Author of The Knowledge, Origins, and Being Human, plus Life in the Universe and a guide to the solar system; Sunday Times bestsellers translated into more than thirty languages. Main-stage TED speaker (TED2015) and regular BBC presenter across Horizon, The Sky at Night and Stargazing Live. Bylines and contributions in The Guardian, The Times, New Scientist and The Daily Telegraph. Scientific consultant on HBO Max’s Station Eleven and on Brian Cox documentaries. Biography Modern organisations sit on top of scientific systems that almost no one in the room can explain. Energy, materials, communication networks, food chains, the climate envelope they operate within. When those systems shift, the strategic consequences arrive quickly, and the executive team often lacks the language to see them coming. Lewis Dartnell’s work attacks that gap directly. The Knowledge: How to Rebuild Our World from Scratch, a Sunday Times bestseller, asks which technologies a civilisation would have to recover first, and why. It is a thought experiment with a hard commercial edge. Strip away the assumptions, and what is actually foundational? A copy sits on the surface of the moon. The book has been adopted as a thinking tool in industries that depend on long-horizon decisions. Origins extended the argument to geology, plate tectonics and climate as drivers of human history, and has been translated into thirty languages. Being Human, his most recent book, examines how human biology and psychology continue to shape political, economic and consumer behaviour. The through-line is consistent: deep scientific structure explaining surface-level outcomes that boards spend their time arguing about. He holds a chair in science communication at the University of Westminster after research roles at University College London and the UK Space Agency programme at Leicester. His broadcast work for the BBC, his TED talk and his scientific consultancy on shows such as Station Eleven mean he speaks at a register designed for general audiences without losing the underlying rigour. For a senior leadership team trying to think clearly about technology, resources and the next twenty years, he is one of a small number of speakers who can hold both ends at once. Key speaking topics Strategic foresight and first-principles thinking Resilience and civilisational technology Long-range science and the future of business Geopolitics, resources and climate Space exploration and the commercial space economy Astrobiology and the search for life Human biology and behaviour as commercial forces Science communication and clear thinking Ideal for Board offsites and CEO leadership summits requiring scientific perspective on long-range risk CSOs, heads of strategy and corporate development teams running scenario work Innovation, R&D and technology leadership groups CHRO and leadership development audiences building first-principles thinking capability Audience outcomes A sharper view of which technologies and resources are foundational to the business, and which are substitutable A grounded understanding of the planetary and biological forces shaping geopolitics, supply chains and consumer behaviour A working vocabulary for long-range scientific risk that senior teams can use in their own strategy conversations A more disciplined first-principles approach to questioning assumptions inside the organisation Genuine intellectual engagement from senior audiences who normally tune out of “future trends” content

Why organisations work with Ulrich Walter He brings the credibility of a flown astronaut and a sitting university chair to AI and robotics conversations that usually rely on consultants or vendor analysts. His role on the Bavarian Ethics Council gives him direct exposure to how regulators, ethicists and engineers are drawing the operating lines around AI, useful for boards setting their own. Disruptive-innovation content drawn from NASA mission cases and his own IBM project-management work, not from secondhand business literature. A working researcher in geriatronics and service robotics, which gives him a concrete view of what AI-assisted hardware can and cannot do today, beyond the generative-AI conversation. Comfortable in technical depth and broad audience formats. Eleven books, a weekly TV programme on Welt TV, and a Spiegel bestseller indicate a speaker who can carry a non-specialist room without softening the science. Biography highlights Payload Specialist, NASA Space Shuttle Columbia, Spacelab D-2 mission (STS-55), 1993. Chair of the Institute of Astronautics, Technical University of Munich, 2003 to 2023, now emeritus. Member, Bavarian Ethics Council on robotics and artificial intelligence. German Professor of the Year 2008 in engineering sciences and informatics. Author of eleven books including the Spiegel bestseller “Im Schwarzen Loch ist der Teufel los” and the Wiley textbook Astronautics. Host, Spacetimes, weekly space-science documentary on Welt TV since 2016. Biography Most leadership teams are asked to make decisions about AI and robotics without a working understanding of how the underlying systems behave. That gap is where Ulrich Walter does his most useful work. Trained as a physicist at the University of Cologne, with postdoctoral years at Argonne National Laboratory and UC Berkeley, he combines an active scientific career with a policy seat that few keynote speakers can match. In 1993 he flew Spacelab D-2 aboard Space Shuttle Columbia as Payload Specialist, running 89 experiments across materials science, life sciences and robotics in just under ten days in orbit. After the mission he managed satellite imaging programmes at the German Aerospace Center, then ran development projects at IBM, before being appointed to the Chair of Astronautics at TU Munich in 2003. At TUM he led research on service robotics, geriatronics, and the systems engineering behind human spaceflight. He also sits on the Bavarian Ethics Council on robotics and AI, advising on where the operational and moral limits of these technologies should fall. The work is technical, and it is current. For corporate audiences, the most useful translation is the one between high-risk technical environments and ordinary business decision-making. How does NASA assess disruptive change? How does a project manager at IBM apply mission-grade discipline? What does a working scientist on Germany’s AI ethics body actually think a board should worry about? Walter is unusually direct on all three. Key speaking topics Artificial intelligence and ethics Disruptive innovation Space technology and the NewSpace economy Robotics and geriatronics Systems engineering and project management The future of human spaceflight Science communication for non-specialist audiences Ideal for Boards and executive teams setting governance on AI and emerging technology Engineering, R&D and innovation leadership at industrial and aerospace firms Senior project and programme managers in complex, high-risk environments Conferences and offsites looking for a substantive technology keynote that can also carry a non-technical room Audience outcomes A working view of where AI and robotics genuinely change the operating picture, and where the hype runs ahead of the science. A practical translation of NASA-style risk management and project discipline into commercial settings. A clearer sense of how European regulators and ethicists are framing the limits of AI deployment. Exposure to the NewSpace economy and what it signals about the next generation of commercial technology. A reset of perspective on long-horizon strategic thinking from someone who has spent ten days looking at the planet from orbit.

Why organisations work with Yuval Noah Harari The NEXUS framework – which distinguishes self-correcting from self-reinforcing information networks – gives boards and governance teams a precise conceptual tool for evaluating AI strategy and regulatory exposure, grounded in historical evidence rather than prediction. Sapiens introduced the argument that large-scale human cooperation is built on shared fictions. For leadership teams, this reframes how institutions, legal systems, and monetary frameworks actually hold power – and what causes them to fail. Direct conversations with heads of state including Macron, Merkel, and Rutte put his arguments at the level of active geopolitical decision-making, not commentary. Audiences engage with someone whose thinking is tested at the highest levels of governance. His Distinguished Research Fellowship at Cambridge’s Centre for the Study of Existential Risk anchors his arguments on AI in active institutional research on civilisational-scale risk – not opinion or futurism. The 100,000-year historical lens is genuinely rare in this space. It gives senior audiences a method for distinguishing structurally permanent change from cyclical volatility – applicable immediately to strategy, regulation, and organisational design. Biography highlights Professor of History, Department of History, Hebrew University of Jerusalem; PhD from the University of Oxford, 2002 Author of Sapiens, Homo Deus, 21 Lessons for the 21st Century, and NEXUS – published in more than 65 languages; Sapiens held the Sunday Times bestseller top three for 96 consecutive weeks and ranked #10 in the NYT’s 100 Best Books of the 21st Century (2024) Distinguished Research Fellow, Centre for the Study of Existential Risk, University of Cambridge Two-time Polonsky Prize for Creativity and Originality (2009, 2012); Moncado Award, Society for Military History (2011); Handelsblatt German Economic Book Award for Homo Deus (2017) WEF Davos keynote speaker in 2016, 2018, 2020, and 2026; CBS 60 Minutes profile (2021) Regular contributor to the Financial Times, The Guardian, The Economist, New York Times, and Nature Biography Organisations making decisions about AI governance are operating without historical context. The scale of information networks has changed before – with writing, printing, and broadcasting – and power has reorganised around each transition. What makes AI structurally different is not its speed or scale, but the fact that, for the first time, the network itself can generate and act on information without human instruction. Yuval Noah Harari is a Professor of History at the Hebrew University of Jerusalem and a Distinguished Research Fellow at Cambridge’s Centre for the Study of Existential Risk. His four major works – Sapiens, Homo Deus, 21 Lessons for the 21st Century, and NEXUS – form a sustained argument about the relationship between information, power, and human agency, tracing it from the deep past to the governance decisions of the AI era. NEXUS, published in 2024, made that argument most directly relevant to organisations. Harari’s central distinction – between information systems that are self-correcting and those that reinforce existing power – gives leaders a practical framework for evaluating AI governance, regulatory exposure, and institutional design. The book argues that how organisations and governments navigate this distinction is the defining question of the current period. NEXUS reached number two on both the New York Times and Sunday Times bestseller lists within a week of publication. Harari has held public conversations with heads of state including Emmanuel Macron, Angela Merkel, and Mark Rutte on the future of AI and information. He has delivered keynote addresses at the World Economic Forum in Davos in 2016, 2018, 2020, and 2026, and contributes regularly to the Financial Times, The Guardian, The Economist, and Nature. His books have been translated into more than 65 languages. Key speaking topics Artificial intelligence and information governance The history and future of information networks Geopolitical risk and global power Long-term civilisational change and strategic foresight Human agency and technological disruption Shared fictions, institutions, and how societies hold together AI regulation and democratic resilience Ideal for Boards and C-suite leadership teams navigating AI governance, information strategy, or long-term geopolitical risk Policy, government affairs, and strategic foresight functions at senior level Global conference and forum audiences at CEO, minister, or board director level Technology strategy and corporate affairs teams working on the societal and regulatory implications of AI Audience outcomes A macro-historical framework for reading which changes are structurally significant vs cyclical – applicable to strategy, governance, and regulatory positioning Practical understanding of the NEXUS distinction between self-correcting and self-reinforcing information systems, and its implications for AI governance design Clearer thinking about where power resides in information networks, and what that means for institutional and organisational decisions Historical context for positioning AI decisions within the longer pattern of how information technologies have redistributed political and economic power Sharper questions to bring back to leadership, board, and regulatory conversations already underway

Why organisations work with Fabian Hemmert He brings a working academic’s depth to a question most strategy teams treat too lightly: what does good human-computer interaction actually look like when AI is in the loop. His “Research Through Design” approach produces tested prototypes, not slideware. The “Data Touch” project, a finger ring that advances presentations by recognising objects, is the kind of artefact that shifts how a leadership team thinks about interface design. He speaks fluently across audiences. A PhD from Berlin University of the Arts, prior commercial work at Nintendo and Marvel, and stage time at SXSW, Lift and the Chaos Communication Congress give him range from board to design floor. He reframes AI as a design problem rather than a deployment problem. For organisations wrestling with adoption, that reframing tends to unlock conversations the technical roadmap cannot. Biography highlights Professor of Interface and User Experience Design, University of Wuppertal, heading the department since 2016. Dr.-Ing. from Berlin University of the Arts, with doctoral research at the Design Research Lab in collaboration with Telekom Innovation Labs. TEDxBerlin speaker; talk “The shape-shifting future of the mobile phone” hosted on TED.com. Conference platforms include SXSW, Lift, Chaos Communication Congress, EuroVision TV Summit, CeBIT, TEDxSalzburg and TEDxInnsbruck. Earlier industry experience at Nintendo of Europe and Marvel Comics during interface design studies. Published academic work on tangible interfaces and design research methodology, including a PhD thesis and book chapter on the Repertory Grid Technique. Biography Most digital products are built for the system, not the human using it. That mismatch is becoming harder to hide as AI moves from the back office into daily work. Fabian Hemmert’s research at the University of Wuppertal is a sustained attempt to close that gap through design rather than user training. He runs the Interface and User Experience Design department at Wuppertal’s industrial design school and earned his Dr.-Ing. at Berlin University of the Arts, working alongside Telekom Innovation Labs. The methodology is “Research Through Design”: build a prototype, put it in front of people, learn what changes. Projects such as “Data Touch”, a finger ring that controls a presentation by recognising the objects in a speaker’s hand, are how the research becomes argument. Earlier in his career he worked for Nintendo of Europe and Marvel Comics, which gives the academic frame a commercial spine. His public platform includes TEDxBerlin, SXSW, Lift, the Chaos Communication Congress, the EuroVision TV Summit and CeBIT. The through-line is consistent across all of them: intuitive technology is a design outcome, not an accident. For senior leaders, the value is a corrective. Strategy decks treat AI and digital tools as capability questions. Hemmert’s work makes the case that adoption, engagement and trust are decided much earlier, at the interface, and that organisations underestimate how much of their digital strategy is being shaped by design defaults they never examined. Key speaking topics Human-computer interaction Designing for AI in everyday use Tangible and embodied interfaces The future of mobile and personal devices Research Through Design methodology Design education and creative capability Play as a method for innovation Ideal for Chief design officers, heads of product and CX leaders rethinking digital interfaces in light of AI. Innovation and R&D teams looking for an academic perspective grounded in built prototypes. Leadership audiences at technology, telecoms, consumer electronics and media organisations. Universities, design schools and conferences focused on the future of human-machine interaction. Audience outcomes A sharper sense of why interface design, not model capability, often decides whether an AI deployment lands. Exposure to working prototypes that reframe assumptions about how digital systems should feel to use. A vocabulary for discussing tangibility, embodiment and intuition as commercial design variables. Confidence to challenge default assumptions about screens, devices and digital workflows in their own organisation.

Why organisations work with Nelly Ben Hayoun-Stépanian She built the experience function at WeTransfer from inside the executive team across ten years, a rare track record of innovation craft sustained at commercial scale rather than delivered as one-off consulting. She has a method for staging ideas in public, tested at the scale of a 17,500-seat Hollywood Bowl performance with NASA scientists and at the scale of small-room design studios at Google, Mattel and Unilever. Her academic foundation is unusual for a creative director: a PhD in Human Geography and Political Philosophy from Royal Holloway alongside an RCA Design Interactions MA, which gives her work argumentative spine rather than spectacle alone. She runs the University of the Underground, a tuition-free postgraduate institution whose advisory board includes Noam Chomsky, Paola Antonelli and Jill Tarter, so she arrives in a room with an active network of researchers and practitioners across science, design and politics. Design Week inducted her into its Hall of Fame in 2023 alongside Jonathan Ive, Es Devlin and Neville Brody, the field’s most explicit signal that her practice has moved from emerging to canonical. Biography highlights Chief of Experiences at WeTransfer from 2012 to 2022, ten years on the executive team during the company’s growth into a global creative platform. Founder and director of the University of the Underground, a tuition-free MA programme hosted at Sandberg Instituut in Amsterdam. Designer of Experiences at the SETI Institute since 2013; Vice Chair of the IAF Committee for the Cultural Utilisation of Space. Founder and director of the International Space Orchestra, performed with Sigur Ros at the Hollywood Bowl to 17,500 people. PhD, Royal Holloway, University of London (Human Geography and Political Philosophy); MA, Royal College of Art (Design Interactions, Dunne and Raby). Design Week Awards Hall of Fame, 2023. WIRED Innovation Fellowship, 2014. Karman Fellowship, 2022. Arts Council England Exceptional Award for Disaster Playground. Biography Most companies treat innovation as an internal practice: research teams, pilots, internal demos, the occasional product launch. The harder discipline is staging an idea so that customers, staff and the broader public feel it. Nelly Ben Hayoun-Stépanian has spent fifteen years building a method for that second discipline, first inside a scaling technology company, then as a commissioned director for brands and cultural institutions. She joined WeTransfer in 2012 as its first Head of Experiences and stayed for a decade, eventually serving as Chief of Experiences on the executive team. Nelly Ben Hayoun Studios operated inside WeTransfer as its user experience and innovation department, with a remit that grew from public projects with creative communities to B Corp development, US business expansion, and the founding of the editorial platform WePresent and the University of the Underground. Her parallel practice is anchored by the International Space Orchestra, which she founded in 2012 with scientists and astronauts from NASA Ames, the SETI Institute and the International Space University. The project produced a feature film, a Hollywood Bowl performance with Sigur Ros, and a recording that was played from the International Space Station. It is the clearest example of her core craft, which is the orchestration of scientific and institutional collaborators into something a non-expert audience can feel. In 2017 she founded the University of the Underground, a tuition-free postgraduate programme at Sandberg Instituut whose advisory board includes Noam Chomsky, Paola Antonelli and Jill Tarter. Design Week inducted her into its Hall of Fame in 2023 alongside Jonathan Ive, Es Devlin and Neville Brody. Key speaking topics Immersive experiences as innovation practice Building creative communities inside commercial organisations Public-facing storytelling for science and technology Cultural strategy and brand Interdisciplinary collaboration across science, design and the arts Space culture and the public communication of complex science Independent institution building Ideal for Chief Marketing Officers, Chief Brand Officers and creative directors at consumer or technology brands looking to move from advertising-led growth to experience-led growth. Heads of Innovation and Chief Strategy Officers whose pilots are not translating into customer-visible products or cultural relevance. Cultural institutions, design and architecture studios, and science communication leads commissioning ambitious public projects. Senior leadership teams inside scale-up technology companies considering how to build a brand that creators and partners care about. Audience outcomes A working definition of what an experience function does inside a commercial company, drawn from ten years of operating one at WeTransfer. Concrete patterns for staging an idea publicly, from Hollywood Bowl scale down to a small studio activation. A view of how scientific institutions, creative communities and commercial brands can be brought into the same room without flattening any of them. A reading on where the experience economy is heading, grounded in her current work at SETI, the International Astronautical Federation and the University of the Underground.

Why organisations work with Markus Bernhardt He runs a continuous research programme, The Endeavor Report, built on client-led case studies of what is actually working in enterprise AI adoption, so the analysis a board hears is grounded in field evidence rather than vendor positioning. He translates AI capability into operating model decisions: where to redesign workflows, how to govern adoption, which workforce shifts to plan for. The conversation moves from technology curiosity to structural choice. He carries credibility on both sides of the table, having advised technology vendors on go-to-market and Fortune 100 and Fortune 500 leaders on transformation, which lets him read where vendor claims meet enterprise reality. His pragmatic stance is explicit: no silver bullet, no hype framing. Senior buyers get an honest read on adoption maturity, polarisation across the workforce, and the specific points where AI actually changes the cost or quality of work. Forbes Technology Council member and recurring contributor to Training Magazine, the Learning Guild and ATD, with two TD Magazine cover stories, giving the body of published thinking a paper trail leaders can verify. Biography highlights Founder of Endeavor Intelligence, an independent AI strategy research and advisory firm Author of The Endeavor Report, a research programme on applied workforce solutions and enterprise AI adoption Co-creator of the TTE AI Strategy Framework with The Thinking Effect Former Chief Evangelist at Obrizum, a deep-tech adaptive learning company Forbes Technology Council member; contributor to Training Magazine, the Learning Guild, ATD and Coaching Magazine Doctorate in physics; two decades of work with Fortune 100 and Fortune 500 organisations Biography Enterprise AI adoption rarely fails on the technology. It fails on the operating model around it: who owns the workflow change, which capabilities the workforce needs next, what governance has to sit underneath. Markus Bernhardt’s work at Endeavor Intelligence is built around that gap. The Endeavor Report, his flagship research programme, sits on real client case studies rather than vendor surveys. It plots organisations across efficiency accelerators, strategic enablers, capability creators and core process innovators, giving leaders a vocabulary for the adoption choice in front of them. The argument is field-tested, and it lands where boards actually decide. His earlier role as Chief Evangelist at Obrizum, a deep-tech adaptive learning company, gave him an operator’s read on how AI changes capability development inside organisations. That experience now feeds the workforce side of his research, alongside published work in Training Magazine, the Learning Guild and ATD, and a seat on the Forbes Technology Council. A physics doctorate sets the underlying disposition. Bernhardt is sceptical of pattern claims that do not survive the data, blunt about where AI actually shifts cost or quality, and explicit that there is no silver bullet for adoption at scale. For senior leaders weighing capital, structure and workforce moves at the same time, that posture is the point. Key speaking topics Enterprise AI strategy and adoption Applied workforce solutions AI governance and operating model design Workforce transformation and capability development Evidence-based decision support for senior leaders AI in learning and performance Future of work in AI-augmented organisations Ideal for C-suite leaders weighing AI investment, governance and operating model decisions CHROs and chief learning officers planning workforce capability shifts Strategy, transformation and innovation leads designing enterprise AI roadmaps Boards seeking an independent, research-backed read on AI adoption maturity Audience outcomes A clearer map of where their organisation sits across the four adoption archetypes Bernhardt’s research identifies A sharper read on which AI claims to discount and which to act on Specific governance and operating model questions to put to internal teams and vendors A framework for talking about workforce polarisation as adoption deepens Language a senior team can carry into the next board conversation on AI

Why organisations work with Chris Lyons Direct line into a16z’s deal flow across AI, Web3, and consumer technology, the same intelligence the firm uses to commit capital to companies like OpenAI, Airbnb, and Lyft. A named thesis on culture as a distribution channel for technology, built into the Cultural Leadership Fund, which moved this idea from observation to a fund structure with institutional limited partners. Operator credibility on Web3 specifically, in his role as President, Web3 Media at a16z crypto, at a moment when most boards still treat crypto and AI as separate strategic questions. A perspective on consumer adoption shaped by deep relationships with founders and cultural leaders, useful for brand, media, and consumer-facing organisations trying to understand what the next decade looks like. Biography highlights General Partner at Andreessen Horowitz; President, Web3 Media at a16z crypto. Founder of the a16z Cultural Leadership Fund, Silicon Valley’s first venture fund with 100% African American Limited Partners. Helped launch a16z’s first $400M Seed Fund in 2021. Board director at Yuga Labs, The James Beard Foundation, The Black Economic Alliance, and New Story Charity. Kauffman Fellow, Class of 2019. Closing keynote, Harvard Business School Black Investment Club Conference, on “Culture as an Asset Class.” Biography Most boards now have AI and Web3 on the agenda. Far fewer have a credible read on which companies and behaviours inside those categories will actually scale. That read is the working asset of a senior venture partner at Andreessen Horowitz, and it is what Chris Lyons brings into a room. Lyons joined a16z in 2013 as Chief of Staff to co-founder Ben Horowitz, with an internal mandate to build deep relationships with founders regardless of investment status. That work became the architecture for the firm’s later positions in companies including OpenAI, Airbnb, and Lyft. He was promoted to General Partner in 2021 and helped launch a16z’s first $400M Seed Fund the same year. In 2018 he founded the Cultural Leadership Fund, a vehicle built on the thesis that cultural leaders, athletes, entertainers, and executives, drive how new technology gets adopted. CLF was structured with 100% African American Limited Partners, with fees and carry directed to organisations advancing Black participation in technology. The fund made the cultural distribution argument institutional. He now leads Web3 Media at a16z crypto and sits on the boards of Yuga Labs, The James Beard Foundation, The Black Economic Alliance, and New Story Charity. The combination of operator inside the firm and connector across culture, capital, and consumer technology is rare at his level of venture seniority. Key speaking topics Artificial intelligence and generative AI Web3 and digital ownership Venture capital and emerging technology Consumer technology adoption Culture as a driver of technology distribution Entrepreneurship and scale Diversity in technology and capital Ideal for Chief executives, boards, and corporate development leaders setting strategy on AI, Web3, and consumer technology CMOs and brand leaders rethinking how cultural relevance translates into commercial advantage Investment committees and family office principals reading the next venture cycle Innovation, partnerships, and ventures teams scouting categories and founders Audience outcomes A clearer view of which AI and Web3 categories are attracting serious capital and why A working framework for thinking about cultural influence as a real distribution mechanism, not a marketing layer Specific examples from inside a16z’s portfolio that illustrate how consumer technology actually scales A more grounded read on where venture conviction sits today, set against media noise

Why organisations work with Cassie Kozyrkov She built the Decision Intelligence function inside Google from scratch and ran it for five years, which means leaders get advice from someone who has already solved, at scale, the problem they are trying to solve. She named and codified the field itself. When a CEO asks what Decision Intelligence is and why their AI investment should sit inside it, she is the primary source, not an interpreter of someone else’s framework. She personally trained more than 20,000 Googlers across every function in data-driven decision-making and AI, so she knows how to make the material land with non-technical executives as well as engineers. She translates AI and statistics into decision-language that boards and operators can use. Her Making Friends with Machine Learning course, originally built only for Google, is now the reference explainer for thousands of leaders outside the company. She advises at the level the material requires. Her Federal Reserve Bank of New York Innovation Advisory Council seat and her work with Forbes on AI signal that her analysis is taken seriously by policy and media institutions, not only by corporate buyers. Biography highlights Google’s first Chief Decision Scientist (2018 to 2023), leading the firm’s decision intelligence practice inside Research and Machine Intelligence. Founder and CEO of Kozyr, an AI advisory and education business serving senior leaders and their teams. Personally trained more than 20,000 Googlers in data-driven decision-making and AI, and guided over 500 decision intelligence projects inside Google. Creator of Making Friends with Machine Learning, originally an internal Google course, now a free public course on YouTube. Author of the Decision Intelligence Substack and LinkedIn Top Voice for six consecutive years; writing has appeared in Harvard Business Review, Fortune, Fast Company, WIRED, and The Wall Street Journal. Member of the Federal Reserve Bank of New York’s Innovation Advisory Council (2023 to 2024); Duke University Few-Glasson Distinguished Alumna. Biography Most companies do not have a data problem, they have a decision problem. The dashboards, pipelines, and models are in place, and yet senior leaders still cannot say which decisions are demonstrably better because of any of it. That gap is the subject Cassie Kozyrkov has been working on for a decade, first inside Google and now with leaders across industries. At Google, she became the company’s first Chief Decision Scientist in 2018 and held the role until 2023. She built a new function that sat between Research and Machine Intelligence on one side and the operating business on the other, and used it to run AI and data through a discipline she calls Decision Intelligence. By the time she left, she had personally trained more than 20,000 Googlers and influenced over 500 projects against that framework. The reason her work travels beyond Google is that she made the material legible. Her course Making Friends with Machine Learning, built inside Google and later released in full on YouTube, is one of the few genuinely plain-English explainers of how machine learning actually fits into business decisions. Her writing in Harvard Business Review, Fortune, Fast Company, WIRED, and The Wall Street Journal has done the same for non-technical executives, and her Decision Intelligence Substack has become a working reference for practitioners. Today she runs Kozyr, advising leadership teams on AI strategy and decision design, and sits on the Federal Reserve Bank of New York’s Innovation Advisory Council on AI and financial markets. The through-line is consistent. She is the rare AI voice who starts with the decision the organisation is trying to get right, and works backwards to the technology, rather than the other way round. Key speaking topics Decision Intelligence AI strategy and adoption Data-driven decision-making Machine learning for business leaders Responsible and effective use of AI AI literacy for executives Bias and judgement in AI systems Ideal for CEOs, boards, and executive teams setting AI strategy and capital allocation against it Chief Data, Analytics, and AI Officers building a decision-intelligence operating model Transformation and strategy leaders responsible for turning AI pilots into business results Leadership programmes and offsites that need genuine AI literacy, not a vendor pitch Audience outcomes A working definition of Decision Intelligence and where it sits relative to data science, analytics, and AI investment. A sharper diagnostic for why AI projects stall: wrong decision scoped, wrong owner, or wrong question asked of the model. Shared language across technical and non-technical leaders for debating AI initiatives without defaulting to buzzwords. Specific techniques for pressure-testing decisions against common biases, including outcome bias and confirmation bias. A realistic read on what current AI systems can and cannot be trusted to decide without human judgement in the loop.