Artificial Intelligence & Generative AI speakers

Why organisations work with Viktor Mayer-Schönberger His research on data-sharing directly shaped the EU’s Digital Markets Act – when he talks about regulatory risk, he is describing a landscape he helped design. Big Data (co-authored with The Economist‘s Kenneth Cukier) sold over one million copies and set the terms of the enterprise data conversation for a decade; organisations benefit from the intellectual framework behind the book, not just its conclusions. As a member of Germany’s Digital Council, he advised Chancellor Merkel’s cabinet on digital policy (2018–2021) – giving him a rare dual perspective on both corporate strategy and governmental decision-making. His 2024 book Guardrails (with Urs Gasser, hailed in Science journal) offers the most current framework available for deciding which decisions to delegate to AI and which to retain – a live, unresolved question in most boardrooms. He holds the Oxford Chair as one of three statutory professors at the Oxford Internet Institute, combining research authority with over 250 keynote engagements across Fortune 500 companies and government bodies. Biography highlights Professor of Internet Governance and Regulation at the Oxford Internet Institute – one of three statutory chairs Ten years on the faculty of Harvard’s Kennedy School of Government; continuing affiliate at Harvard’s Belfer Center for Science and International Affairs Member of Germany’s Digital Council; personal adviser to Chancellor Angela Merkel on digital policy (2018–2021) Delete (Princeton University Press, 2009) won the 2010 Marshall McLuhan Award and the 2010 Don K. Price Award for Best Book in Science and Technology Politics Big Data (2013, with Kenneth Cukier) – NYT and WSJ bestseller; over one million copies sold; translated into more than 20 languages Research cited in, and proposals adopted by, the EU Digital Markets Act; covered by the New York Times, Financial Times, BBC, The Guardian, Der Spiegel, Le Monde, and Nature Biography Data governance is not a compliance function. It is, as Viktor Mayer-Schönberger has spent three decades arguing, the central strategic question of the digital economy, and most organisations are still treating it as a footnote. Mayer-Schönberger holds the Chair of Internet Governance and Regulation at the Oxford Internet Institute, one of three statutory professorships at the OII. Before Oxford, he spent a decade at Harvard’s Kennedy School of Government and three years at the Lee Kuan Yew School of Public Policy in Singapore. That arc – from entrepreneurship to academic leadership across three continents – gives him a fluency in organisational, governmental, and market dynamics that few researchers in this space share. His books have not merely described the data economy; they have shaped it. Delete (Princeton, 2009) initiated the debate that produced the EU’s right to be forgotten. Access Rules (2022) and the earlier Reinventing Capitalism in the Age of Big Data proposed the data-sharing mandates that were subsequently enacted in the EU Digital Markets Act. His bestseller Big Data – co-authored with The Economist‘s Kenneth Cukier – sold over a million copies and remains the foundational text for enterprise data strategy. His most recent book, Guardrails (2024, with Urs Gasser), praised in Science journal, addresses the question now live in every boardroom: how to draw the line between AI delegation and human judgement. From 2018 to 2021 he served as a member of Germany’s Digital Council, advising Chancellor Merkel’s cabinet directly. He is a faculty affiliate at Harvard’s Belfer Center and has addressed senior audiences at IBM, SAP, Microsoft, and Roche, as well as regulatory and governmental forums across the EU, UK, and US. His advisory boards have included Microsoft and the World Economic Forum. Key speaking topics AI governance and the limits of delegation Data access, competition, and digital market regulation The strategic economics of data Information privacy and the right to be forgotten Human decision-making in the age of AI Digital policy and corporate regulatory risk The data-driven transformation of capitalism Ideal for Boards and executive leadership teams navigating AI governance and regulatory exposure Chief Data, Digital, and AI Officers building organisational data strategy General counsel, compliance, and risk functions in regulated industries Public policy and regulatory affairs teams across the EU and UK Audience outcomes A structured framework for distinguishing decisions that should be delegated to AI from those that must remain with humans Clarity on the regulatory direction of travel in the EU and UK, and what it means for data strategy An understanding of how data access and sharing mandates will reshape competitive dynamics in their sector Practical grounding in the governance failures that produce both legal exposure and strategic underperformance A shared language for board-level conversations about AI risk that moves beyond the abstract

Why organisations work with Vito Di Bari He has run the discipline at scale. As Innovation Designer for Milan’s Expo 2015 candidacy he turned futures thinking into a 25-project urban programme, the kind of translation work most futurist speakers never attempt. He carries genuine institutional weight: former Executive Director of UNESCO’s International Multimedia Institute, contract professor at Politecnico di Milano and Bocconi, founder of the Next Media Lab. He authored “The Neofuturistic City Manifesto” and is the named thought leader of the Neo-Futurism art and architecture movement, giving leadership teams a vocabulary for what comes after the current digital cycle. He is one of a small number of European voices the Financial Times has labelled a “guru of innovation,” which travels well in front of European boards and ministries. He works in English, Italian and across global stages, with TEDx and corporate keynotes spanning five continents, useful for groups planning multi-region leadership offsites. Biography highlights Innovation Designer for Milan’s Expo 2015 candidacy Former Executive Director, UNESCO International Multimedia Institute (IMI), Paris Former contract professor of Design and Management of Innovation, Politecnico di Milano; and of Cross Media Communication, Bocconi University Founder and Scientific Director, Next Media Lab; founder of Di Bari & Associates innovation design studio Author of more than ten books on innovation, including “The Neofuturistic City Manifesto” Described by the Financial Times as “the new European guru of innovation” Biography The hardest job inside a board agenda on AI is not deciding which tools to buy. It is deciding which technological trajectory the organisation is betting on. That is the territory Di Bari has worked in for two decades, first inside UNESCO’s IMI in Paris, then as Innovation Designer for Milan’s Expo 2015 candidacy, where his job was to translate a futures vision into a 25-project urban programme. His academic base is Italian and serious. He held contract chairs at Politecnico di Milano in design and management of innovation, and at Bocconi in cross-media communication. Around that he built Next Media Lab as an international research laboratory and Di Bari & Associates as a design studio, so the ideas he speaks about have been carried into installations, products and city projects, not only into print. The intellectual signature is Neo-Futurism. His 2007 “Neofuturistic City Manifesto” set out a vision of arts, architecture and urbanism after the digital turn, and he is widely credited as the thought leader of the movement. The Financial Times called him “the new European guru of innovation,” and bureau profiles routinely place him in the company of John Naisbitt and Alvin Toffler. For an executive audience, the value is concrete. He has authored more than ten books on innovation, contributed to outlets including Wired, and now anchors his keynote work in AI transformation, with talks such as “Welcome to the AI Transformation” and “A Day in the Future.” A board leaves the room with a structured view of how AI, IoT and emerging technologies will reshape its sector, and a sharper sense of which bets to place now. Key speaking topics Artificial intelligence and generative AI in business Innovation strategy and design Internet of Things and emerging technologies Future of work and organisational AI adoption Neo-Futurism, urbanism and the design of the future Long-range scenario thinking for leadership teams Ideal for Boards and executive committees stress-testing their AI and digital strategy CEOs, CIOs and chief innovation officers planning multi-year technology roadmaps Industry events in retail, manufacturing, financial services and the public sector commissioning a serious futures keynote Leadership offsites in Europe and globally that need a credible practitioner voice on innovation, not abstract trend commentary Audience outcomes A structured forward view of how AI, IoT and emerging technologies will reshape the audience’s sector A clearer language for talking about innovation as a design discipline, not a marketing label Specific examples of how futures thinking has been translated into urban-scale projects, including Expo 2015 Milan Concrete prompts for which AI and digital bets to prioritise inside the next planning cycle

Why organisations work with Vivienne Ming Her «Tax on Being Different» framework quantifies – in economic and productivity terms – the cost organisations pay when marginalised workers must expend extra effort just to be assessed as equivalent. This is a measurement argument with commercial implications, not a values one. As Chief Scientist at Gild, she built machine learning models trained on 122 million professionals, making her one of the few people who has directly operationalised predictive AI for talent assessment at scale, outside a purely academic context. She reframes diversity from a compliance question into an optimisation problem: one that can be modelled, measured, and corrected using the same tools organisations already apply to operational decisions. Her research spans workforce, education, and health, giving her an unusually broad evidence base for what actually predicts long-term human capability, and what doesn’t. Published in Nature and Neural Information Processing Systems, and holding academic appointments at UC Berkeley and UCL, her arguments carry institutional credibility that applied consultants and conference speakers typically cannot match. Biography highlights Author of Robot-Proof: When Machines Have All the Answers, Build Better People (Wiley, 2026), which argues that human capital – not AI capability – determines the outcome of human-machine collaboration PhD in Psychology from Carnegie Mellon University; joint postdoctoral fellowship at Stanford University and UC Berkeley’s Redwood Center for Theoretical Neuroscience Former Chief Scientist at Gild, where she built ML models trained on 122 million professionals to assess human capability beyond conventional credentials Founder and Executive Chair of Socos Labs, an independent research institute applying AI and neuroscience to workforce, education, and health challenges Research published in Nature, Neural Information Processing Systems, and Neural Computation Ranked #5 on the Financial Times / OUTstanding list of the world’s top LGBT executives (2017); named BBC 100 Women (2017) and Inc. Magazine’s «10 Women to Watch in Tech» Chair, UC Berkeley Neurotech Collider Hub; Honorary Professor, UCL Global Business School for Health; board member, RFK Human Rights Biography Vivienne Ming built her career on a discomforting empirical observation: the hiring signals organisations treat as reliable – degrees, interview performance, institutional pedigree – do not predict what they claim to predict. She tested this at scale. As Chief Scientist at Gild, she developed machine learning models trained on data from 122 million professionals, looking for what actually distinguishes high performers from credentialled ones. The gap was substantial. Most organisations were optimising for proxies, not capability. That finding runs through everything she has done since. At Socos Labs, the research institute she co-founded with her wife Dr. Norma Ming, she has extended the question into education and health, examining what psychological constructs genuinely predict long-term life outcomes, and publishing that research in Nature and Neural Information Processing Systems. The argument is consistent: measurement systems in organisations are systematically broken, and the cost is borne most heavily by those who don’t fit the template. Her book Robot-Proof: When Machines Have All the Answers, Build Better People (Wiley, 2026) extends that argument into AI, making the case that human capital – not model benchmarks – determines whether human-machine collaboration produces anything beyond substitution. Her «Tax on Being Different» framework gives that cost a number. Drawing on large-scale HR data, it quantifies the additional credential burden that women, people of colour, and LGBTQ+ individuals absorb to be evaluated on equivalent terms. This is not a cultural argument. It is a productivity and innovation argument: one that has been delivered to boards and leadership teams at Google, Deloitte, and Salesforce, and presented at the Royal Society. She holds a PhD in Psychology from Carnegie Mellon University, with joint postdoctoral appointments at Stanford and UC Berkeley. She chairs the UC Berkeley Neurotech Collider Hub, holds an honorary professorship at UCL’s Global Business School for Health, and serves on the board of RFK Human Rights. In 2017, she was ranked #5 on the Financial Times / OUTstanding list of the world’s top LGBT executives. Her research and commentary have been featured in the Financial Times, Business Insider, Fast Company, and CNBC. Key speaking topics AI and predictive modelling of human capability The economics of talent assessment and bias Neuroscience of decision-making in organisations Diversity, inclusion, and the productivity cost of difference Human-machine collective intelligence AI applications in education, health, and workforce development Innovation methodology: solving ill-posed problems Ideal for CHROs and talent acquisition leaders reviewing whether their hiring signals are predictive CEOs and boards integrating AI into people decisions and workforce strategy DEI leaders seeking evidence-based, commercially framed arguments for systemic change Technology and innovation functions examining the limits and applications of AI in human contexts Audience outcomes A quantified, data-grounded understanding of what broken talent systems cost organisations in productivity and innovation A concrete reframe of diversity: not a moral obligation but a measurement and optimisation problem Practical questions to apply to their own hiring, promotion, and development processes Clarity on where AI reliably improves human assessment – and where it perpetuates the biases already embedded in the data A new vocabulary for capability that moves beyond credentials and credentials-adjacent signals

Why organisations work with Yasin Kasirga He has built the assets he talks about. Eleven gigawatts of gas and renewable capacity and more than 25 wind plants across Europe, the Middle East and Africa mean his account of what a transition costs, and how long it takes, comes from having delivered it. He translates carbon and climate risk into the language a CFO and board already use, framing decarbonisation as capital allocation and commercial risk rather than an environmental programme. He advised the COP28 Presidency and co-authored the report behind the global pledge to triple renewable energy by 2030, giving audiences a first-hand account of how energy policy at that level is actually negotiated. He is built to brief mixed-function rooms, which means finance, strategy and operations leaders leave able to make the same case to one another instead of talking past each other. Biography highlights Decarbonization Leader for Carbon Solutions across the Middle East and Africa at GE Vernova, within its Gas Power business. Senior Energy Advisor to the COP28 Presidency, in the Office of the UAE Special Envoy for Climate Change. Co-author of “Tripling Renewable Power and Doubling Energy Efficiency by 2030,” issued by the COP28 Presidency, IRENA and the Global Renewables Alliance. Developed and built over 5 GW of gas-fired power and 6 GW of renewables, including more than 25 wind plants, across Europe, the Middle East and Africa. Speaker at ADIPEC and bylined author for GE Vernova on carbon capture, hydrogen and decarbonisation in the Middle East and Africa. Executive MBA and undergraduate degrees in mechanical engineering and business from Middle East Technical University and Anadolu University. Biography In 2023, the COP28 Presidency set out to make the case for tripling the world’s renewable energy capacity by 2030. Yasin Kasirga helped write it. Working inside the Office of the UAE Special Envoy for Climate Change, he co-authored the report the pledge was built on, issued with IRENA and the Global Renewables Alliance. That advisory role sits on two decades of actually building what the transition depends on. Across Europe, the Middle East and Africa he has developed and built more than 5 GW of gas-fired power and 6 GW of renewables, including over 25 wind plants. Today he leads the Carbon Solutions business for the Middle East and Africa at GE Vernova, working on carbon capture, hydrogen and low-carbon fuels. This mix is unusual. Most people who can speak to climate policy have never built a power plant, and most who have built them cannot translate the economics for a board. Kasirga works in both registers. His sessions are built for the whole leadership team: the finance, strategy and operations leaders who have to agree what a transition costs and who owns it. His central claim is practical. On most decarbonisation programmes the technology and the capital are already available; what blocks progress is getting people to commit to one plan. That is the problem he was asked to help solve at COP28, and the one he works on now at GE Vernova across the Middle East and Africa. Key speaking topics Energy transition and decarbonisation Net zero strategy and the business case for climate action Carbon capture, hydrogen and low-carbon fuels The energy transition in the Middle East and Africa Climate risk as capital allocation and board risk AI in energy operations Leadership and culture in decarbonisation programmes Ideal for Boards and executive committees setting or defending a net zero commitment CFOs, CSOs and heads of strategy who must fund and sequence decarbonisation Energy, utilities and heavy-industry leadership teams across the Middle East, Africa and Europe Government and policy audiences working on energy transition in MENA and Africa Audience outcomes A way to describe carbon exposure in the financial terms a CFO and board already use A clearer view of which decarbonisation investments to make first, ranked by commercial impact An honest read on what is real versus hype in the energy transition, and what to act on now The case for why the Middle East and Africa may be better placed for the transition than Western commentary assumes A picture of where AI is already cutting emissions in energy operations, and where it only drains budget

Why organisations work with Yonah Welker Direct line into the European policy machinery shaping AI rules, through working group contributions to the EU AI Code of Practice, DG CNECT’s digital and critical infrastructure work, and EU ICT and standardisation programmes. Published, citable expertise on how AI systems treat disability, neurodiversity, and other designated groups, with frameworks and a MOOC catalogued by OECD.AI, a specialism few governance advisers can match. Cross-institutional fluency across OECD, UN, UNESCO, and WHO governance processes, useful for organisations whose AI strategy now has to answer to several overlapping frameworks at once. Practical command of how governance applies to AI in physical and public deployment, including robotics and assistive systems, where compliance obligations under the EU AI Act and emerging harmonised standards are least settled. A practitioner-policy bridge rather than a pure academic, with hands-on evaluator and rapporteur roles across EU Horizon and EIT/EIC programmes, which is the lane most boards and compliance leads now need filled. Biography highlights AI expert listed in the OECD.AI community directory; visiting lecturer and evaluator affiliated with MIT collaborative work, and contributor to OECD.AI’s Wonk blog. Contributor to the EU AI Code of Practice (working Groups 2 and 3), DG CNECT digital and critical infrastructure programmes, and EU ICT standardisation work. Contributor of input to OECD (G7 Hiroshima AI Process), UN (ITU and IGF), UNESCO, NIST (Risk Management Framework), and White House PCAST processes. Lead author and coordinator on the forthcoming UNESCO/UN AI Science Report, and co-author of the MIT AI Safety Repository. Evaluator, rapporteur, and quality controller across EU Horizon, StandICT, and EIT Health, Deeptech, and Creativity programmes; member of the EDPB expert pool on embodied AI privacy. Former curator of the Global AI Summit and adviser to a national data and AI authority in the EMEA region; speaker at the AI Action Summit (Paris/Sorbonne), Sciences Po, Technical University of Munich, AI Safety Korea, and the Delphi Economic Forum; jury and peer reviewer for the MIT Global Competition, NeurIPS, and IEEE journals. Biography The EU AI Act, the OECD framework, UNESCO’s ethics recommendation, and the G7 Hiroshima Process now govern the same operating decisions, and they do not line up neatly. The people who work inside several of these processes at once, rather than reading them from outside, are few. Welker is one of them. He has contributed to the EU AI Code of Practice working groups and to DG CNECT’s critical infrastructure work. He sits on the EDPB expert pool examining embodied AI privacy, and is lead author and coordinator on the forthcoming UNESCO/UN AI Science Report. His input has also fed NIST and White House PCAST processes, and he has advised a national data and AI authority in the EMEA region alongside his EU Commission work. His distinctive angle is a lens few governance specialists share. His work centres on how AI systems treat designated groups: people with disabilities, neurodivergent users, and others where an algorithm can quietly grant or deny access. That question is now moving into robotics, assistive systems, and AI that acts in public space, where the frameworks are thinnest. The disability-centred AI MOOC catalogued in the OECD.AI tools repository is one concrete marker of it. For senior leaders, the value is operational. He can set out what an EU AI Act audit will actually examine, and what a defensible accessibility claim looks like in a deployed system. He can also show how the OECD, UN, and EU layers connect to a decision a general counsel or risk committee faces next quarter. Key speaking topics AI governance and the EU AI Act Algorithmic accountability and AI audit Disability-centred and accessibility AI policy Neurodiversity and inclusive AI design Sovereign AI and critical digital infrastructure AI safety and responsible deployment Public sector AI and citizen-facing systems Ideal for General counsel, chief compliance officers and CTOs preparing for EU AI Act enforcement Heads of AI, responsible AI leads and digital ethics committees Public sector and intergovernmental bodies designing AI policy Boards reviewing AI risk exposure across accessibility, bias and public-trust dimensions Audience outcomes A clearer map of how the EU AI Act, OECD framework and UN/UNESCO instruments interlock for their organisation Specific questions to put to vendors, internal teams and audit committees on algorithmic accountability A working definition of what disability-centred and accessibility AI obligations look like operationally Sharper instinct for where reputational and regulatory risk concentrates in current AI deployments A view of where European AI policy is heading next, drawn from inside the working groups shaping it

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 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 Zoe Kleinman She is the BBC’s first Technology Editor, which gives any panel or main-stage conversation an immediate authority signal that a corporate moderator cannot match. She has interviewed Tim Cook, Sir Demis Hassabis, Brad Smith and Jensen Huang on the record, and is comfortable holding senior technologists to a specific answer rather than letting a talking point pass. She translates AI, cybersecurity and digital regulation for boardrooms and general audiences without flattening the technical substance, which is the skill most in-house tech leaders ask for and rarely find. She has chaired flagship sessions for the Open Data Institute, the Royal Institution and Fintech Connect, and hosted The National AI Awards, so she arrives knowing the room. Her reporting has fed UK parliamentary inquiries and her March 2025 House of Lords evidence on AI governance gives her current standing on the regulatory questions buyers are now being asked by their own boards. Biography highlights BBC Technology Editor since September 2021, the first person appointed to the role. Over 20 years at the BBC, including senior technology reporter from 2009 to 2021. Reports across BBC News television, BBC World News, BBC Radio 4’s Today programme and BBC World Service. On-the-record interviews with Tim Cook, Sir Demis Hassabis, Brad Smith, Jensen Huang and Dave Baszucki. Has interviewed two serving UK Prime Ministers, Rishi Sunak at the 2023 UK Global AI Safety Summit at Bletchley Park and Keir Starmer. Gave evidence to the House of Lords on AI governance and data privacy in March 2025. Investigative reporting on children’s in-game spending triggered a UK parliamentary committee inquiry. Hosted The National AI Awards and chaired sessions for the Open Data Institute, Royal Institution and Fintech Connect. Biography The hard part of a senior AI conversation is no longer finding an expert. It is finding someone who can sit between the expert and the audience, ask the question the room wants asked, and refuse to let a polished non-answer count as an answer. That is the editorial craft Kleinman has been building at the BBC for two decades. She joined the BBC in 2003 and moved through web production, features editing and senior technology reporting before being appointed the corporation’s first Technology Editor in September 2021. Her reporting now runs across BBC News television, BBC World News, Radio 4’s Today programme and BBC World Service technology and business strands, with a specific brief on artificial intelligence, cybersecurity, digital regulation and diversity in technology. The interview list is the part senior buyers usually recognise. Tim Cook at Apple, Sir Demis Hassabis at Google DeepMind, Brad Smith at Microsoft, Jensen Huang at Nvidia, Dave Baszucki at Roblox, and two serving Prime Ministers, Rishi Sunak at the 2023 UK Global AI Safety Summit at Bletchley Park and Keir Starmer. Her investigation into children’s in-game spending prompted a UK parliamentary committee inquiry, and in March 2025 she gave evidence to the House of Lords on AI governance and data privacy. What that record gives a corporate stage is something specific. She arrives understanding the technical detail, she knows what the regulators are about to ask, and she has spent enough time across the table from senior technologists to keep the conversation honest. For an organisation putting its leadership in front of clients or its own workforce to talk about AI, that is the moderator profile that does the work. Key speaking topics Artificial intelligence and generative AI AI governance, ethics and regulation Cybersecurity and digital risk Big Tech, platforms and competition Digital transformation and emerging technology Diversity in technology Innovation and disruption Moderation, hosting and panel chairing Ideal for AI, technology and innovation summits requiring a credible main-stage host or interviewer CIO, CISO, CTO and digital transformation leadership events Boards and executive committees commissioning a closed-door briefing on AI and digital regulation Awards ceremonies, flagship dinners and member events seeking a recognisable BBC face with subject authority Audience outcomes A clearer picture of where AI regulation and governance are moving in the UK, EU and US, and what that means for corporate decisions in the next 12 to 24 months. A sharper sense of which AI vendor and platform claims hold up under scrutiny and which do not. Direct exposure to how the world’s most senior technology leaders are talking, and not talking, about risk. A working vocabulary for non-technical executives to discuss AI, cybersecurity and digital regulation with confidence in front of clients, staff and regulators.