Artificial Intelligence & Generative AI speakers

Why organisations work with Sebastian Thrun He has shipped autonomous AI at production scale. The Stanford team he led won the DARPA Grand Challenge in 2005, and the Google self-driving project he co-founded became Waymo. He built the playbook that boards now ask about. Google X, founded under his leadership, codified moonshot methodology for capital-intensive technology bets. He has direct experience reskilling enterprise workforces in AI, data and cloud through Udacity, including programmes for IBM, Mercedes-Benz and Google before the 2024 acquisition by Accenture. He explains AI without dumbing it down. Senior audiences leave with a working sense of what current systems can and cannot do, and where the real operational risk sits. Biography highlights Co-founder of Google X and the Google self-driving car project that became Waymo Led the Stanford Racing Team whose vehicle Stanley won the 2005 DARPA Grand Challenge; Stanley now sits in the Smithsonian National Museum of American History Co-founder and chairman of Udacity, acquired by Accenture in 2024 to power the LearnVantage reskilling platform Co-founder and former CEO of Kitty Hawk, the eVTOL “flying car” company backed by Larry Page Member of the National Academy of Engineering and the German National Academy of Sciences Leopoldina; Smithsonian American Ingenuity Award (Education, 2012) Co-author of Probabilistic Robotics (MIT Press), the standard graduate text on the mathematics behind autonomous systems Biography Stanley crossed the finish line of the 2005 DARPA Grand Challenge after 132 miles of desert, the first autonomous vehicle to do so. The Stanford Racing Team that built it was led by Sebastian Thrun, then director of the Stanford Artificial Intelligence Laboratory. Stanley now sits in the Smithsonian. The technology grew into Waymo and the modern autonomous vehicle industry. That arc, from research lab to production AI, is what makes his perspective valuable to senior teams. He gave up tenure at Stanford to become a Google Fellow, co-founded Google X, and built the moonshot model that boards now reference when they talk about long-horizon technology bets. Probabilistic Robotics, the textbook he co-authored with Wolfram Burgard and Dieter Fox, remains the standard graduate reference in the field. The second half of his career addresses the constraint that most boards now feel acutely. Talent. Udacity, which he co-founded in 2012, built the Nanodegree model with employers including IBM, Mercedes-Benz and Google, then sold to Accenture in 2024 to anchor the LearnVantage reskilling platform. He also co-founded Kitty Hawk with Larry Page to commercialise eVTOL aircraft. Audiences get something specific from him. A clear read on what current AI systems do well, where they fail, what production deployment actually requires, and how to build a workforce that can operate the technology rather than admire it. Key speaking topics Production AI and autonomous systems Moonshot methodology and long-horizon technology bets AI workforce reskilling and the talent constraint The future of mobility and self-driving vehicles AI for the board and the executive committee Online learning and the economics of education Ideal for Boards and executive committees moving from AI strategy to operating deployment CHROs and CLOs commissioning enterprise reskilling at scale Automotive, mobility and industrial leadership teams facing autonomy CTOs and chief AI officers benchmarking moonshot and R&D portfolios Audience outcomes A working mental model of where current AI systems succeed and where they fail in production A concrete view of the workforce capability required to run AI inside a large organisation A read on how moonshot bets are structured, governed and shut down inside a serious technology company A clearer sense of where autonomy is heading in mobility, logistics and adjacent sectors

Why organisations work with Sharon Gai She offers a working model for redesigning teams and reporting lines when agentic AI absorbs the work middle management was paid to do. Her book How to Do More with Less (Wiley, 2026) maps the shift from task-based to capability-based org structures, with named roles for what humans do once execution is automated. Most AI adoption speakers describe what is happening to organisations from the outside. As Head of Global Key Accounts at Alibaba’s Tmall, Sharon worked inside the operating core of one of the world’s most AI-integrated commercial platforms. The vantage gives her authority on AI’s organisational effects that advisers and analysts cannot manufacture. Her practitioner depth on China’s ecommerce ecosystem, built into Ecommerce Reimagined (World Scientific, 2022), gives commercial and transformation leaders a primary source on consumer-to-manufacturer models and AI-integrated logistics via Cainiao. For European boards looking five years ahead, this is the live case study Western markets are still catching up to. Her “Culture Fluid” framework gives leadership teams a way to address the human side of AI adoption without falling into change-management cliché. It explains why two organisations with the same technology stack will get different results. Her client list spans UBS, Deloitte, Nestlé, Walmart, LVMH, and Lenovo, with platform exposure on Bloomberg, CNN, Reuters, TechCrunch, and Wired. Recognised as a LinkedIn Top AI Voice (2026) and a RETHINK Retail Top AI Leader. Biography highlights Author of How to Do More with Less: Future-Proofing Yourself in an AI-Driven Economy (Wiley, 2026) and Ecommerce Reimagined: Retail and Ecommerce in China (World Scientific, 2022) Former Head of Global Key Accounts at Tmall, Alibaba’s core commerce pillar, led omnichannel and ecommerce strategy for major international accounts including Adidas, P&G, H&M, and Xiaomi Selected for the Alibaba Global Leadership Academy, the internal programme designed to globalise Alibaba’s business units MS in Information & Knowledge Strategy, Columbia University; Honours BA in International Development, McGill University Former Global Shaper, World Economic Forum Named in AAE’s Top Keynote Speakers 2023; recognised as a RETHINK Retail Top AI Leader, LinkedIn Top Voice (2024), and LinkedIn Top AI Voice (2026) Media appearances on Bloomberg, CNN, Reuters, TechCrunch, Wired, CBC, and CCTV; keynote clients include UBS, Deloitte, Nestlé, Walmart, LVMH, and Lenovo Biography The work middle management was paid to do is moving into systems. Reporting, status tracking, summarisation, performance feedback, project oversight: agentic AI now performs each of these to the standard a competent manager would have delivered five years ago. The org chart that organisations grew up with is becoming structurally redundant, and most leadership teams do not yet have a working model for what replaces it. That question is the centre of Sharon Gai’s recent work. Her book How to Do More with Less (Wiley, 2026) maps the shift from task-based org structures to capability-based ones, naming what concentrates in humans once execution is automated: judgement, taste, theory of mind, original problem definition. The book sits within an active body of writing on what she calls the Org Chart of the Future, drawing on the live restructures already underway at Meta, Microsoft, and others. Her authority on these questions comes from operational experience few AI speakers can claim. As Head of Global Key Accounts at Alibaba’s Tmall, she worked inside one of the world’s most AI-integrated commercial platforms, leading omnichannel and ecommerce strategy for Adidas, P&G, H&M, and Xiaomi. Selection for the Alibaba Global Leadership Academy, the internal programme tasked with globalising Alibaba’s business units, deepened that vantage. Her first book, Ecommerce Reimagined (World Scientific, 2022), remains the only practitioner account of China’s ecommerce ecosystem written from within Alibaba, examining how consumer-to-manufacturer models and AI-integrated logistics via Cainiao function inside the company. Her “Culture Fluid” framework addresses the parallel internal question: how to build the agility to compete across simultaneous cultural and technological shifts. The work connects the structural argument of the Org Chart of the Future to the human capability conditions that make any redesign executable. Without the second, the first remains an idea on a slide. Key speaking topics The Org Chart of the Future: AI-era team and role design AI adoption at organisational scale: from pilots to operating model The disappearing middle: agentic AI and management layers Future-proofing in an AI-driven economy China’s AI-integrated commerce ecosystem Culture Fluid: organisational agility across cultural and technological shifts Consumer-to-manufacturer (C2M) models and AI-integrated supply chains Ideal for CHROs, COOs, and transformation leads designing the operating model and workforce for an AI-augmented organisation Boards and executive committees confronting the structural implications of AI on management layers, headcount, and capability planning Chief Commercial Officers and heads of digital in retail, FMCG, luxury, and consumer brands looking at AI’s effect on platform commerce Leadership development programmes where AI adoption needs the perspective of someone who has worked inside an organisation operating at AI saturation Audience outcomes A structural model for redesigning teams and reporting lines when agentic AI absorbs the work middle management was paid to do Operating clarity on which AI use cases produce advantage and which produce vendor revenue A view of how China’s AI-integrated commerce platforms actually function, drawn from inside Alibaba, and what is genuinely replicable in Western markets A direct answer to the question of where human capability concentrates in an AI-driven organisation: judgement, taste, theory of mind, original problem definition A shared language, through the Culture Fluid model, for the human side of AI adoption

Why organisations work with Sheena Allen She built and ran a venture-backed US digital bank to closure and is willing to talk in detail about what the regulatory environment, capital cycle, and category timing did to it. Practitioner perspective, not commentary. She bootstrapped a five-app mobile studio to millions of downloads before raising a dollar, so her view of fundraising versus self-funding comes from having done both. She is a credible voice on financial inclusion grounded in market reality, not advocacy posture, having designed product for banking-desert communities and seen what compliance and unit economics impose. She speaks to the non-technical founder problem with authority because she has built tech companies as a psychology and film major, including her current AI-product work through MindFull AI. Biography highlights Founder and CEO of CapWay, a Y Combinator Summer 2020 fintech and digital bank backed by Backstage Capital, Fearless Fund, and Khosla Ventures. Founder of Sheena Allen Apps, a bootstrapped mobile studio with five apps and millions of downloads. Currently leads CREAM Factory, a fintech venture studio and research organisation, and builds AI-native products through MindFull AI. Co-host of the Rich Lessons podcast with Sevetri Wilson Taylor. Forbes 30 Under 30 honouree. Featured in Google’s Webby Award-winning documentary series Black Women in Tech and in the film She Started It; author of The Starting Guide. Biography CapWay was a venture-backed US digital bank built to serve customers in banking deserts. It raised from Backstage Capital, Fearless Fund, and Khosla Ventures, went through Y Combinator’s Summer 2020 cohort, and closed in 2024 after the wider fintech regulatory environment turned against companies that depended on partner banks. Sheena Allen ran it from founding to wind-down. That arc is the spine of her work as a speaker. She talks about fintech not as a category to admire but as a category that punishes founders who underestimate compliance cost, capital cycles, and the dependency on infrastructure they do not own. After the Synapse collapse and the Evolve Bank breach, she was direct in the press about why the business could not raise another round. Before CapWay, she bootstrapped Sheena Allen Apps from her dorm room at the University of Southern Mississippi into a five-app mobile studio with millions of downloads. She studied psychology and film, not computer science, and she has built every venture since by assembling technical teams around her rather than coding herself. That is the perspective behind her current work at CREAM Factory, a fintech venture studio, and at MindFull AI, where she ships AI-native products as a non-technical founder. She is a Forbes 30 Under 30 honouree, co-hosts the Rich Lessons podcast with Sevetri Wilson Taylor, and was featured in Google’s Black Women in Tech series and the film She Started It. Her book, The Starting Guide, walks first-time founders through the operational decisions she made early and would now make differently. Key speaking topics Building venture-backed companies in regulated categories Financial inclusion and the economics of banking deserts Bootstrapping versus venture capital as founder strategies Non-technical founders and how they actually ship product AI tools for small teams and solo operators Mobile product strategy and pre-development planning Women and underrepresented founders in fintech Ideal for Founder programmes, accelerators, and venture studios looking for an operator who has built and closed a regulated business. Financial services, fintech, and banking conferences seeking a practitioner voice on financial inclusion and partner-bank risk. Diversity and inclusion programmes inside banks, payment networks, and large tech companies that want substance over symbolism. Innovation and product audiences inside non-technical industries that want to hear how non-technical founders ship. Audience outcomes A clearer view of how capital cycles and regulatory shifts decide which fintechs survive. Specific lessons from inside a Y Combinator-backed digital bank that closed, including what she would do differently. A grounded read on financial inclusion as a market problem, not a campaign theme. Concrete examples of how a non-technical founder builds and runs product teams, including with AI tooling. A useable mental model for choosing between bootstrapping and venture capital at different stages.

Why organisations work with Shivvy Jervis A forecaster who has worked through Microsoft, the United Nations, Salesforce, Lenovo and the UK Government’s digital division, briefing each on where digital, AI and neuroscience advances are heading next. A second specialism in applied neuroscience, covering drive, stress and persuasion, which gives her sessions a behavioural dimension most technology speakers cannot offer. A broadcaster’s craft built across CNN, Reuters and a Discovery Channel documentary, so she can hold a leadership audience for a keynote and run the full event around it. Recognition from Forbes (Trailblazer), Management Today (Champion of Change) and Britain’s Women of the Year, anchoring her credibility outside the speaker circuit. Sustained focus on human-centred technology rather than tool demos, which lands with audiences asking how to deploy AI without losing the workforce in the process. Biography highlights Founder of FutureScape 248, a social innovation and forecasting consultancy launched in 2017. Former CNN broadcast journalist; presenter of a two-part Discovery Channel documentary on the future of cities. Forecasting work conducted for Microsoft, the United Nations, Salesforce, Lenovo and the UK Government’s digital division. Named a Trailblazer by Forbes, one of Britain’s Women of the Year, and a Champion of Change by Management Today. Two long-running streaming video series on technology and innovation with a reported audience of 14 million. Recognised by the World Economic Forum and cited by CNN as one of the most trusted voices on technology. Biography Most boards now sit between two pressures on technology. There is a brief to “do something with AI” arriving from above, and a workforce asking what any of it means for their job. The reading they need is editorial, not vendor-led. That is the gap Shivvy Jervis works in. As founder of FutureScape 248, the forecasting consultancy she launched in 2017, she has briefed Microsoft, the United Nations, Salesforce, Lenovo and the UK Government’s digital division on what is plausible, what is hype, and what is close enough to commit capital to. The frame is consistently human-centred: not what the technology does, but what it changes about how people work, decide and buy. A second strand of her practice draws on applied neuroscience, covering drive, stress and persuasion at work. That gives her keynote a behavioural dimension that most technology speakers cannot match, and it lands with audiences who are wary of pure futurism. The output is editorial in tone, built from years as a broadcast journalist with CNN, Reuters and Discovery Channel. Her recognitions sit outside the bureau circuit, including Forbes Trailblazer, Britain’s Women of the Year, and Champion of Change from Management Today. The reason senior buyers commission her is more specific than awards. She translates the noise around AI and emerging tech into the small number of shifts a leadership team needs to act on. Key speaking topics Artificial intelligence and human-centred deployment Forecasting and emerging technology Digital transformation and the future of work Applied neuroscience for performance and decision-making Cybersecurity, privacy and data ethics Innovation strategy in regulated industries Ideal for Boards and executive teams setting AI and digital strategy CHROs and transformation leads handling workforce response to AI Innovation, digital and customer experience leadership Industry conferences seeking a forecaster who can also host Audience outcomes A clear read on which AI and emerging-tech shifts will affect the audience’s industry on a near-term horizon. A behavioural lens on adoption, covering how people respond to AI in their work and what that means for change plans. Specific examples from her work with Microsoft, the UN, Salesforce, Lenovo and UK Government, used as reference points rather than case studies. A vocabulary leaders can use internally to separate hype from substance in vendor and pilot decisions.

Why organisations work with Silvia Leal She advises the OECD’s Global Forum on Technology on immersive reality, which gives boards direct line of sight to how international policy thinking on emerging tech is being shaped. The IV Premio Nacional de Management 2024 places her among Spain’s most recognised authorities on technology-led management, not on technology in the abstract. She has run innovation and technology programmes at IE Business School and held commercial roles at SAP and Banco Santander, so she speaks to senior teams as someone who has had to operationalise the technology, not only describe it. Her broadcast work on RTVE’s “La Cuarta Revolucion” trained her to make AI, automation and the future of work intelligible to non-specialist audiences, which translates directly into mixed-seniority rooms. She works fluently in Spanish and English, with published books and a regular podcast that give clients a body of public material to brief from. Biography highlights PhD in Sociology; expert member of the OECD Global Forum on Technology. IV Premio Nacional de Management 2024, presented at DLA Piper Spain. Former Director of Innovation and Technology Programs, IE Business School. Prior commercial experience at SAP and in Banco Santander’s technology division. Creator and presenter of “La Cuarta Revolucion” on RTVE La 2, produced with Onza. Author of “Ingenio y pasion” (IE Business Publishing), “Y de repente llego el Metaverso” and “Tendencias: Claves para entender el futuro y construir el presente”. Inspire Award 2021 from the Spanish Artificial Intelligence Association for AI popularisation. Biography Most senior teams now have an AI strategy on paper. Far fewer have a shared language for what the technology can already do well, what it cannot, and which calls have to be made this year. That translation problem sits at the centre of Silvia Leal’s work. She holds a PhD in Sociology and sits on the OECD’s Global Forum on Technology, where she contributes to the working group on immersive reality. Before that she ran the Innovation and Technology Programs at IE Business School, after commercial roles at SAP and in Banco Santander’s technology division. The combination gives her a clear view of both the policy thinking and the operational reality. In Spain her authority is recognised formally. In 2024 she received the IV Premio Nacional de Management at a ceremony hosted by DLA Piper, and in 2021 she was given the Inspire Award by the Spanish Artificial Intelligence Association for her work on AI popularisation. Her public-facing record includes “La Cuarta Revolucion”, the seven-part RTVE series she created and presented on La 2, and the podcast “Tendencias con Silvia Leal”. Her books, including “Ingenio y pasion” in the IE Business Publishing collection and “Y de repente llego el Metaverso”, read as practical management texts rather than tech commentary. For boards and executive teams trying to make AI, the metaverse and digital transformation legible to their own organisation, that practical register is the point. Key speaking topics Artificial intelligence in the enterprise Digital transformation and innovation leadership The metaverse and immersive technology Future of work and workforce transformation Emerging technology policy and governance Cybersecurity as a leadership issue Ideal for Boards and executive committees setting AI and digital priorities. Chief Technology, Innovation and Transformation Officers translating strategy into operating decisions. CHROs and HR leaders preparing the workforce for AI-shaped roles. Industry associations and policy-facing events that need a credible bridge between European institutions and operating businesses. Audience outcomes A clearer read on which AI and immersive-tech capabilities are real today and which remain promise. Sharper questions for vendors, partners and internal teams when commissioning AI work. A practical framing of the metaverse and immersive reality as a business question, not a consumer trend. A more honest view of how AI is reshaping roles, skills and recruiting inside their own organisation.

Why organisations work with Simon Johnson The Nobel Prize-cited research demonstrates, with causal rigour, that institutions shape economic outcomes more decisively than market forces alone, giving boards a framework for evaluating political and regulatory risk that goes beyond scenario planning or macro-forecasting Power and Progress argues that AI and major technologies historically concentrate gains in the hands of those who direct their development, not those who use them – a counter-argument to standard innovation optimism that risk committees and executive teams are increasingly required to engage with His time as IMF Chief Economist during the 2007–08 financial crisis positions his analysis of systemic risk as empirical rather than theoretical: he was inside the global institutional response as it happened Named a UK Government AI Ambassador in December 2025, Johnson is an active participant in policy formation on AI and productivity – organisations engaging him access thinking that is shaping government strategy in real time, not retrospectively His analytical method – using historical variation in colonial institutions as a natural experiment – gives him an unusually precise way of explaining why structural constraints persist, cutting through ideological framing on both left and right Biography highlights 2024 Nobel Prize in Economic Sciences, shared with Daron Acemoglu and James A. Robinson, “for studies of how institutions are formed and affect prosperity” – Royal Swedish Academy of Sciences Ronald A. Kurtz (1954) Professor of Entrepreneurship, MIT Sloan School of Management; head of the Global Economics and Management group Chief Economist (Economic Counsellor) and Director of Research, International Monetary Fund, 2007–08 Co-author of Power and Progress: Our Thousand-Year Struggle over Technology and Prosperity (2023, with Acemoglu); 13 Bankers (2010); Jump-Starting America (2019) Named UK Government AI Ambassador, December 2025 Research Associate, National Bureau of Economic Research; Fellow, Centre for Economic Policy Research; board of directors, Fannie Mae Project Syndicate contributor since 2007; undergraduate PPE, Corpus Christi College, Oxford; PhD Economics, MIT Biography The question of why some economies generate broad prosperity while others stagnate – despite access to similar technologies and capital – occupied Simon Johnson, Daron Acemoglu, and James Robinson for more than two decades. Their answer: institutions. The political and economic rules that determine who can participate in growth are not neutral infrastructure – they are the primary driver of long-term economic outcomes. That conclusion, now validated by the 2024 Nobel Prize in Economic Sciences, has a direct implication for how senior leaders should read structural risk. Johnson’s position as IMF Chief Economist during the 2007–08 global financial crisis adds a dimension that academic credentials alone cannot. He was at the centre of the institutional response to a systemic collapse in real time. 13 Bankers, written in its aftermath, argued that the US financial sector’s political capture had created the conditions for catastrophic failure – a thesis that has since shaped how regulators, boards, and risk professionals think about the relationship between financial power and institutional design. His most recent major work, Power and Progress (co-authored with Acemoglu), extends the institutions framework to technology. The central argument is that technological progress – from the printing press to AI – does not automatically distribute its gains. Who benefits depends on who holds the power to direct how a technology is built and deployed. For organisations navigating AI investment decisions, that argument reframes the question: not “what will AI do?” but “who will AI benefit, and why?” Since December 2025 Johnson has served as a UK Government AI Ambassador, working on initiatives to direct AI development towards productivity gains that are broadly shared. He is a Research Associate at the National Bureau of Economic Research, a Fellow of the Centre for Economic Policy Research, and contributes regularly to Project Syndicate. He holds degrees from the University of Oxford, the University of Manchester, and MIT. Key speaking topics Institutions, political economy, and long-term prosperity Systemic financial risk and banking reform AI, technology, and economic inequality Global economic governance and policy design Innovation-led growth and its distributional consequences Geopolitical risk and institutional resilience The political economy of financial crises Ideal for Board directors and executive leadership teams navigating political and regulatory risk Financial services organisations and risk committees Government, central bank, and public policy forums Chief Strategy Officers and scenario planning teams at global organisations Audience outcomes A research-grounded framework for understanding why institutions – not market dynamics alone – determine where economic value concentrates A clearer model for evaluating political and regulatory risk as a structural, not episodic, factor in long-term strategy A more critical lens on AI investment decisions, grounded in the historical pattern of how technologies distribute – or fail to distribute – their gains Direct insight into how systemic financial risk forms, drawn from IMF experience during the 2007–08 crisis Context for the current policy environment on AI and productivity, including where government thinking is heading

Why organisations work with Simon Moore He runs a working behavioural science consultancy, IB (formerly Innovationbubble), with documented commercial case results including a 51% conversion uplift for a fashion brand and an 11% churn reduction in a banking client. He is a chartered psychologist with a PhD in psychobiological psychology, not a populariser of other people’s research, which is rare in the behavioural-economics speaker market. He won the Gold Retail Nudge Award in 2015 for retail behavioural work, a credential that maps directly to commercial decision-makers. His client list spans BBC, HSBC, Aviva, Virgin Atlantic, Pfizer, Sony, FedEx, Microsoft and the Financial Times, so the work has been pressure-tested in regulated, high-stakes commercial environments. He moves between consumer-facing strategy and internal employee behaviour, which lets the same engagement speak to a CMO and a CHRO without breaking apart. Biography highlights CEO and Partner of IB (Innovationbubble), an award-winning behavioural science consultancy applying psychology to commercial strategy. PhD in psychobiological psychology and Chartered Psychologist with the British Psychological Society. Former Academic Leader in Psychology at London Metropolitan University. Co-author of the undergraduate textbook “Complete Psychology” (first edition 2008). Winner of the Gold Retail Nudge Award (2015) for behavioural work with retail clients. Has advised commercial clients including BBC, HSBC, Aviva, Virgin Atlantic, Pfizer, Sony, FedEx, Microsoft and the Financial Times, and is a regular UK media commentator on consumer psychology. Biography Most commercial strategies are built on what people say they will do. Surveys, focus groups, stated-preference research, customer panels. The data is clean, the models are tidy, and the behaviour at the till, the renewal point, or the checkout button still surprises everyone. That gap is where Dr Simon Moore works. Moore is a Chartered Psychologist with a PhD in psychobiological psychology and CEO of IB, the behavioural science consultancy he founded as Innovationbubble. The firm uses psychological methods, not opinion, to investigate why customers and employees actually behave as they do, then translates those findings into pricing decisions, brand communications, retention design and internal change programmes. Clients have included BBC, HSBC, Aviva, Virgin Atlantic, Pfizer, Sony, FedEx, Microsoft and the Financial Times. Before founding the consultancy, he was Academic Leader in Psychology at London Metropolitan University and is co-author of the textbook “Complete Psychology”, used on undergraduate degree programmes. The academic foundation matters because most of the behavioural-economics speaker market is built on a few thin layers of summary. Moore is one of a small group of practitioners who built the underlying science before commercialising it, and the difference shows up in the specificity of what he recommends. In 2015, Innovationbubble won the Gold Retail Nudge Award for retail behavioural work. The case studies that travel with him are unusually concrete for the field: a 51% conversion uplift through reworked product descriptions in fashion, an 11% churn reduction in a banking client. He is a regular UK media voice on consumer psychology and behavioural intervention, but the booking case is operational, not editorial: he is hired by commercial leaders who have run out of conventional explanations for the numbers in front of them. Key speaking topics Behavioural science in commercial strategy Consumer decision-making and the say-do gap Psychology of brand communication and storytelling Customer loyalty, trust and retention Pricing, value perception and choice architecture Psychology of organisational change and employee behaviour The psychology of AI and human response to automated systems Ideal for CMOs, brand directors and customer experience leads are facing flat returns on conventional campaigns and CX investments Commercial directors and pricing leads working on retention, subscription and value-perception problems CHROs and change leads running internal behaviour-change programmes alongside the consumer-side work Boards and executive teams in regulated sectors (financial services, healthcare, telecoms) where customer trust drives commercial outcomes Audience outcomes A working vocabulary for the psychological drivers behind specific commercial problems they own Concrete examples of behavioural interventions that have moved retention, conversion and trust metrics in named sectors A clear distinction between what behavioural science can credibly do and the marketing claims made on its behalf Direct prompts for re-examining pricing, messaging or CX assumptions that test well in research but underperform in market A more accurate read on how customers and employees will respond to AI-driven products, services and internal tools

Why organisations work with Sina Kahen He has shipped a regulated, complex technology product into a sceptical market. Commercialising Celito, named publicly as the UK’s first orthopaedic robot, gives him operator credibility that very few AI speakers carry. He runs a generative AI company today. VAICE, where he is co-founder and CEO, builds workplace productivity software, which means his views on enterprise AI come from active build decisions, not commentary. His book “The Promised Land of AI” gives leaders a usable strategic playbook for AI adoption, structured around use-case discovery, data readiness, and the build, buy or partner question that most boards stall on. He teaches AI strategy at Imperial College Business School, so the material is tested against MBA cohorts and senior executives every term, not assembled for the stage. He brings a working language for ethics, philosophy and human judgement in AI, drawing on his published philosophical work, without drifting into abstraction that leaves an operating team with nothing to do on Monday. Biography highlights MBA, Imperial College Business School; degree in Biomedical Sciences Guest Lecturer in AI, healthcare and corporate innovation, Imperial College Business School Co-founder and CEO, VAICE, building generative AI software for workplace productivity Former Innovation Business Manager at DeSoutter Medical; led commercialisation of Celito, publicly described as the UK’s first orthopaedic robot Author of “The Promised Land of AI: A Practical Guide to AI for Business” and “Brief Insights on Medical Robotics” Engagements and clients include Google, Amazon, BBC, O2, Shell, Imperial College, InterSystems, Juniper Networks, Ipsen Pharma and Novateur Ventures Biography Celito was the UK’s first orthopaedic robot. Sina Kahen, then Innovation Business Manager at DeSoutter Medical, was the person responsible for bringing it through commercialisation into operating theatres. That work, taking a regulated, high-stakes technology from concept into the hands of surgeons, is the experience he now applies to a different problem: enterprise adoption of generative AI. The current vehicle for that work is VAICE, a company he co-founded and runs as CEO, building generative AI software for workplace productivity. Around it sits his book “The Promised Land of AI: A Practical Guide to AI for Business”, a Guest Lectureship at Imperial College Business School, and engagements with organisations including Google, Amazon, BBC, O2, Shell, InterSystems and Ipsen Pharma. The argument running through all of it is operational. Most companies have proved AI can do something useful. The harder questions, which buyers are now ready to confront, are about strategy: which use cases actually compound, whether to build, buy or partner, how to make data and people ready, and how to govern decisions that cannot be fully explained. Kahen has trained as a Biomedical Scientist and holds an MBA from Imperial, which is one reason his framing of these questions feels closer to medicine than marketing: rigorous about evidence, blunt about what is not yet known. He is also the author of several books on Jewish philosophy, and that interest shows up in the AI work as a refusal to let the human and ethical questions float free of operating practice. Boards do not need another AI ethics policy. They need a way to make defensible AI decisions inside their existing governance, and to take their workforce with them. That is the territory Kahen occupies. Key speaking topics Generative AI strategy for enterprise AI adoption and operating performance AI in healthcare and life sciences Responsible AI and AI governance Build, buy or partner decisions in AI sourcing Innovation and intrapreneurship inside large organisations Philosophy, ethics and the human side of AI Ideal for Boards and executive committees commissioning enterprise-wide AI strategy CIOs, CTOs, Chief Data Officers and Chief AI Officers translating pilots into operating systems Healthcare and life sciences leadership confronting AI, robotics and regulated innovation Heads of Innovation and transformation leads structuring AI portfolios across business units Audience outcomes A working framework for moving AI from pilot into measurable operating performance A clearer view on when to build, buy or partner for AI capability Sharper questions to ask of internal teams and external vendors on data readiness, governance and use-case selection A practical position on AI ethics that holds up inside real operating decisions, not slide decks Language and reference points senior leaders can use to bring the rest of the organisation with them

Why organisations work with Sol Rashidi She has personally led AI and data deployments inside Estee Lauder, Merck, Sony Music, Royal Caribbean, and Amazon Web Services, so the advice is field-tested rather than theoretical. She wrote Your AI Survival Guide (Wiley, 2024), the practical deployment playbook that boards and CIOs have started to use as a reference text for moving past pilots. As Senior Fellow at Harvard Kennedy School’s Mossavar-Rahmani Center, she is shaping AI policy thinking at the level boards now have to engage with. She talks credibly to two audiences in the same room: technical leaders who need the architecture to be right, and executive teams who need the commercial and workforce implications spelled out. Her current role as Chief Strategy Officer for Data and AI at Cyera keeps her live inside the AI security and governance conversation that boards are being asked to own. Biography highlights Chief Strategy Officer for Data and AI at Cyera since April 2025. Senior Fellow 2025 to 2026 at Harvard Kennedy School’s Mossavar-Rahmani Center for Business and Government. Author of Your AI Survival Guide (Wiley, 2024), a Top 100 AI book of 2024. Former four-time Fortune 100 C-suite executive: Estee Lauder, Merck, Sony Music, Royal Caribbean. Division Head of Technology, Startups, North America at Amazon Web Services. Holds 10 patents in data and AI; named Forbes “AI Maverick of the 21st Century” and to multiple Top 100 AI Leaders and Top 50 Women in Tech lists. Biography Most enterprise AI programmes look identical from the outside and fail in different ways on the inside. The strategy decks are confident. The pilots run. Then the operating model, the data foundation, or the workforce conversation breaks the deployment before it scales. Sol Rashidi has spent a career on the operator side of that problem, and now advises the boards and executive teams who own it. She helped launch IBM Watson in 2011, then became the first Chief Data and AI Officer in a Fortune 500 company. Across the next decade she ran data, analytics, and AI organisations as a four-time C-suite executive at Estee Lauder, Merck, Sony Music, and Royal Caribbean, and led the Startups technology division for Amazon Web Services in North America. The result is a practitioner record measured in 30 to 200+ AI deployments inside large enterprises, not in conference panels. That record is now packaged in two formats. Your AI Survival Guide (Wiley, 2024) is the playbook for non-technical leaders running real deployments, structured around strategy, use case selection, design, implementation, and long-term operations. As Senior Fellow at Harvard Kennedy School’s Mossavar-Rahmani Center for Business and Government, she is developing an ontological framework for AI policy aimed at aligning government and business on what the technology actually is and how it should be governed. Her current operating role as Chief Strategy Officer for Data and AI at Cyera keeps her inside the AI security and governance debate that boards are now expected to lead. She holds 10 patents, has been named Forbes “AI Maverick of the 21st Century,” and has been recognised across multiple Top 100 AI and Top 50 Women in Tech rankings. The reason senior buyers keep coming back is simpler than the credentials: she has shipped this work, and she will tell a room what actually happens when you try. Key speaking topics Enterprise AI deployment and operating model AI governance, security, and responsible deployment Workforce redesign in the age of AI Data strategy and enterprise data readiness AI for boards and executive teams Post-AI organisational design Innovation discipline inside large enterprises Ideal for Boards and executive committees deciding how to own AI strategy and risk CDOs, CIOs, CTOs, and Chief AI Officers moving from pilots to enterprise deployment CHROs and transformation leads redesigning the workforce around AI capability CISOs and risk leaders building AI governance and security frameworks Audience outcomes A clearer view of where their AI programme actually sits on the path from pilot to enterprise deployment. A workable mental model for AI governance and security at board level, not a compliance checklist. A direct read on what the workforce conversation looks like once AI starts to land in operations. Specific deployment lessons drawn from named Fortune 100 environments, not abstract case studies. Confidence in deciding what to build, what to buy, and what to leave alone.

Why organisations work with Spencer Kelly Two decades inside the BBC’s flagship technology programme, Click, give him a working knowledge of frontier tech that very few keynote speakers can match, and a presenter’s instinct for what a general audience can absorb. He is one of the few speakers who is equally credible as a keynote on AI and emerging tech and as the host or moderator who runs the rest of the day, which reduces the number of people a conference organiser has to brief. A Cambridge Computer Science background, with an undergraduate dissertation on AI, means his explanations sit on actual technical understanding rather than on borrowed framing. He has interviewed the people audiences are most curious about, from Bill Gates and Steve Ballmer to James Cameron, Edward Snowden and Julian Assange, which gives his sessions named primary material instead of recycled commentary. BBC Radio 4’s Understand: Tech & AI and the technology segment on BBC Morning Live keep him in current weekly conversation with a non-specialist audience, which is the audience most leadership teams actually resemble. Biography highlights Presenter of BBC Click from January 2006 to its final episode in March 2025, the BBC’s longest-serving technology presenter. Host of BBC Radio 4’s Understand: Tech & AI, a 10-part series first broadcast in July 2023. Presents the technology segment on BBC Morning Live. Computer Science double first from Churchill College, Cambridge, with an undergraduate dissertation on artificial intelligence. Honorary Doctor of Technology, Coventry University. Named T3 Magazine Tech Personality of the Year in 2015. Biography BBC Click ran for 25 years on BBC World News and the BBC News Channel. Spencer Kelly presented it for nearly 19 of them, from January 2006 to its final episode in March 2025. That single fact carries more weight in a leadership audience than any speaker bio summary, because it means the person at the front of the room has been tracking, testing and explaining frontier technology to a global audience continuously across an entire technology cycle. The Cambridge Computer Science training matters here. His double first at Churchill College, with an undergraduate dissertation on artificial intelligence and genetic algorithms, is the reason his explanations of AI sit on actual technical foundations rather than on metaphors. He moves fluently between the engineering reality and the boardroom question, which is exactly what most senior audiences are trying to do when they sit down at a strategy day. Beyond Click, he hosts BBC Radio 4’s Understand: Tech & AI, the 10-part series launched in July 2023, and presents the technology segment on BBC Morning Live. He has interviewed Bill Gates, Steve Ballmer, James Cameron, Edward Snowden and Julian Assange. T3 Magazine named him Tech Personality of the Year in 2015. Coventry University awarded him an Honorary Doctor of Technology. For an event with leadership stakes, he is unusually flexible. He delivers the keynote on AI, automation and emerging technology when that is the brief, and he hosts, moderates or runs the awards when the day needs a presenter who can carry the room and stay on the subject. The same person does both jobs to BBC standard, which is rarer than most conference programmes assume. Key speaking topics Artificial intelligence in business Emerging technology and its commercial impact Automation and the future of work Quantum computing, blockchain and the metaverse Technology hosting, moderation and awards presenting Ideal for Boards and executive teams running an AI literacy or emerging tech briefing Conference organisers who need a single host across keynote, panel and awards CIO, CTO and digital transformation leaders running annual offsites Industry awards and sector summits that want a recognisable, technically credible host Audience outcomes A clearer picture of where AI and adjacent technologies are now, separated from the marketing layer. Specific named examples of how organisations are using emerging tech, drawn from his Click reporting. A working sense of which technologies sit in the next 18 months and which sit further out. The confidence to ask sharper questions of internal teams and external vendors.

Why organisations work with Spriha Srivastava She holds a senior editorial role at one of the largest international business news brands, which gives her direct fluency in how leaders are being asked questions in public, not just how they want to answer them. She has moderated on inclusion, AI and workforce equity at the World Economic Forum, VivaTech, the Milken Institute and the Global Women Leaders Summit, with the discipline of someone who interviews CEOs for a living. Her career covers the full arc of recent business stories that audiences remember: the financial crisis aftermath, Brexit, U.S. elections, the Trump presidency and the pandemic economy. She brings a recognised platform on women in leadership, with the Women Economic Forum “Iconic Women” award and an Asian Women of Achievement shortlist behind her. She is one of the few moderators who can sit on a panel about generative AI and a panel about inclusion in the same week, and not flatten either conversation. Biography highlights Vice President and Executive Editor, Digital, CNBC International (appointed February 2025), with editorial responsibility across Europe, the Middle East and Asia Pacific. Former London Bureau Chief and International Executive Editor at Insider, leading UK and Singapore newsrooms. Former Deputy Digital News Editor at CNBC International London, with prior roles at Financial Times Money Management and Thomson Reuters Global Markets Forum. Winner, Women Economic Forum “Iconic Women Creating A Better Tomorrow” (2020); shortlisted, Asian Women of Achievement Award, media (2020); runner-up, Santander Media Awards newcomer (2015). Speaker and moderator at the Milken Institute, Global Women Leaders Summit, and inclusion-focused programmes at World Economic Forum and VivaTech. Over 15 years in international business journalism, with field reporting and coverage across more than 40 countries. Biography The credibility problem in public conversations about inclusion is not a shortage of advocates. It is a shortage of people who can hold a senior business audience in a real conversation about workforce equity without losing the room to either platitudes or defensiveness. That is editorial work as much as it is advocacy. That is the role Spriha Srivastava plays. As Vice President and Executive Editor, Digital at CNBC International, appointed in February 2025, she leads digital news teams across Europe, the Middle East and Asia Pacific. Before CNBC she was London Bureau Chief and International Executive Editor at Insider, running newsrooms in the UK and Singapore. Her reporting career has tracked the stories that have set the operating context for most of today’s senior leaders: the aftermath of the financial crisis, Brexit, two U.S. election cycles, the Trump presidency, and the pandemic economy. That range, plus prior posts at Financial Times Money Management and Thomson Reuters, is what gives her moderation work a different texture from a topical advocate’s. She comes at inclusion and future-of-work questions through the same lens she uses on a CEO interview. The Women Economic Forum “Iconic Women” award and her Asian Women of Achievement shortlisting are the public markers, but the practical value is more specific. Audiences get a moderator who can move from generative AI strategy to workforce equity to global markets within a single programme, with the journalistic instinct for when a panellist has not actually answered the question. Key speaking topics Women in leadership Diversity, equity and inclusion in practice Future of work and future skills Inclusive innovation and AI Global markets and the macro context for business decisions Panel moderation and event hosting on business and policy themes Ideal for CHROs and Chief People Officers commissioning serious conversations on inclusion and workforce equity Boards and ExCos hosting external moderators for global summits, inclusion forums and leadership offsites Conference programme owners needing a moderator who can carry both AI and inclusion strands Internal women-in-leadership networks and ERGs running senior-level programmes Audience outcomes A clearer view of how senior international media is currently framing inclusion, AI and the future of work, and what that means for corporate messaging. A more candid panel conversation than the typical inclusion stage allows, with follow-up questions that surface the practical decisions, not the slogans. A working sense of how global market coverage and people-and-culture stories are converging in the financial press. An understanding of where inclusion claims are being tested in public, and where they are still being accepted at face value.

Why organisations work with Stefan Hyttfors He translates AI, climate and geopolitical signals into the specific operating choices a board actually has to make, rather than leaving leaders with a trend deck. His thesis in Yoga for Leaders connects disruptive technology to human behaviour, which gives the room a usable language for the cultural side of transformation, not just the technology side. Two-time Swedish Speaker of the Year, with more than 1,000 engagements across 40+ countries, including IKEA, Microsoft, H&M, Spotify, Deloitte and AstraZeneca. A journalist’s instinct for narrative means complex foresight content lands with senior, mixed-discipline audiences without being diluted. Nordic register, low on hype, high on argument, which suits boards that have already heard the standard Silicon Valley futurism pitch and want something sharper. Biography highlights Author of Yoga for Leaders: How to manage self-disruption in a world of self-destruction, LID Publishing, 2016. Twice named Swedish Speaker of the Year by Talarforum. TEDx speaker, including “We don’t need jobs” (TEDxArendal) and “Can we really trust human intelligence?” (TEDxStockholm). Former photo journalist at Expressen and Photo Editor-in-Chief at a Swedish daily; trained economist. Co-founder of Swedish PR agency Wenderfalck. Client roster includes IKEA, Microsoft, Klarna, Spotify, H&M, Deloitte, AstraZeneca, Gartner, Ericsson, BMW, Toyota, Unilever, Nike, Skanska and E.ON. Biography Most organisations still treat foresight as a forecasting exercise. The default question is what is going to happen, and the default output is a slide of trends. The harder question, what kind of organisation can keep deciding well when the trend lines stop being reliable, is the one Stefan Hyttfors works on with leadership teams across Europe. His thesis is that disruption is misread when it is treated as a purely technological event. In Yoga for Leaders: How to manage self-disruption in a world of self-destruction, published by LID in 2016, he sets technology alongside human behaviour and argues that the binding constraint on adaptation is rarely the tool, it is the mind of the leader using it. That argument has carried into his current work on AI, climate, and geopolitical instability, where he frames the leadership task as composure under accelerating change rather than mastery of any single trend. The credibility sits on volume and range. More than a thousand keynotes across forty-plus countries, twice named Swedish Speaker of the Year by Talarforum, TEDx talks at Arendal and Stockholm, and a client list that runs from IKEA, H&M and Spotify to Microsoft, Deloitte and AstraZeneca. His training as a journalist and economist shows in how the material is built: trend data on one side, behavioural and cultural argument on the other, no filler in between. What buyers tend to single out is the tone. Hyttfors is sceptical of futurism that sells inevitability, and equally sceptical of leadership content that ignores the technology shift underneath. The talk lands as a working brief for the next twelve months, not a prediction about 2035. Key speaking topics Strategic foresight under accelerating change Artificial intelligence and the future of work Digital transformation and behavioural change Leadership in unstable conditions Sustainability and climate as strategic variables Disruptive technology and business model change Trust as a commercial differentiator Ideal for Board and ExCo offsites setting direction under AI, climate and geopolitical uncertainty CHRO and CPO audiences re-scoping workforce strategy around AI capability CSO and strategy leadership teams refreshing planning assumptions for the next cycle Industry conferences in financial services, technology, industrials and consumer where future-of-business framing anchors the programme Audience outcomes A working language for distinguishing signal from noise across AI, climate and geopolitical shifts A clearer view of where their own organisation is over-indexed on predictability and under-indexed on adaptive capacity A behavioural read on why transformation programmes stall, beyond the usual technology or governance explanations Specific prompts for the conversations the leadership team should be having internally in the next two quarters