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Why organisations work with David Roberts His Exponential Leadership framework draws a hard diagnostic line between revolutionary and truly disruptive technology – giving senior teams a structured method for a decision most organisations currently make by instinct. He holds an MIT degree in Artificial Intelligence alongside a Harvard MBA, and built ventures backed by Kleiner Perkins, Vinod Khosla, and In-Q-Tel – his understanding of technology disruption is operational, not theoretical. As Vice President and two-time Director of Singularity University’s Graduate Studies Program, he has stress-tested these frameworks with senior leaders across sectors and geographies at scale. His background spans classified U.S. government programs – satellite systems, drone development, intelligence fusion centers – giving him credibility on high-stakes technological complexity that most innovation speakers cannot claim. Harvard, Stanford, and Berkeley Business Schools have written and taught case studies on his leadership and decision-making – a level of academic scrutiny that validates the substance of the framework, not just its presentation. Biography highlights MIT B.S. Computer Science and Engineering, Distinguished Graduate, majored in Artificial Intelligence and Bio-Computer Engineering Harvard MBA Vice President and two-time Director of Singularity University’s Graduate Studies Program; Distinguished Faculty member Coined the term Exponential Leadership in 2010; founder of Exponential Leadership organisation Co-founder and President of FireDrop and Zaplet, acquired by MetricStream; ventures backed by Kleiner Perkins, Vinod Khosla, Cisco, Oracle, Accenture, and In-Q-Tel Chairman of 1QBit, one of the world’s first quantum computing software companies Career U.S. government officer: Air Force officer, decorated Special Agent; led development of satellite programs and the U.S. Drone Program; received personal citation from the Director of the FBI Media coverage in the Wall Street Journal, Fortune Magazine, USA Today, The New York Times, and CNN Biography Roberts studied AI at MIT before the term had reached the boardroom – under the guidance of Joseph Weizenbaum, creator of ELIZA and one of the discipline’s founding figures. That technical grounding was followed by a Goldman Sachs M&A posting and then a career in the U.S. government, where he led the development of satellite systems and the U.S. Drone Program across multiple national agencies. By the time he entered Silicon Valley, he had spent years building the technologies that other people were still learning to name. His venture career – FireDrop and Zaplet, backed by Kleiner Perkins and In-Q-Tel and ultimately acquired by MetricStream – gave him a second operational lens: what it takes to build and fund companies around genuinely disruptive technology, not merely competitive ones. That distinction became the foundation of his intellectual contribution. In 2010, working in a government context, he coined the term Exponential Leadership – a framework built on a single, testable claim: that the leadership models most organisations rely on were engineered for incremental change, and that they structurally fail when technologies start compressing competitive timelines from decades to years. Roberts went on to serve as Vice President and two-time Director of Singularity University’s Graduate Studies Program, reaching senior leaders across sectors with that framework. His talks do not stop at diagnosing the gap between technology speed and leadership capability – they give organisations a structured method for distinguishing truly disruptive technologies from merely revolutionary ones, and a leadership model calibrated to act on that distinction. Harvard, Stanford, and Berkeley Business Schools have used his leadership and decision-making as the basis for case studies. His technology ventures have been covered by the Wall Street Journal, Fortune Magazine, and CNN. Key speaking topics Exponential Leadership Technology disruption and disruptive innovation theory Artificial intelligence and emerging technologies Quantum computing and advanced technology platforms Entrepreneurship and high-growth venture strategy Strategic decision-making in exponential environments Leadership development for technology-driven organisations Ideal for C-suite and senior leadership teams navigating technology-driven transformation Strategy and innovation leaders in sectors facing accelerating competitive disruption Corporate leadership development programmes seeking a framework for exponential change Boards and executive committees assessing long-term technology risk and strategic positioning Audience outcomes A working distinction between revolutionary and genuinely disruptive technology, with a framework for applying it to current strategic decisions Understanding of why traditional leadership models underperform in exponentially changing environments, and what a more effective model looks like in practice Clearer organisational language for discussing exponential change – moving beyond general awareness to specific, actionable diagnostic categories Exposure to emerging technologies – including AI, quantum computing, synthetic biology, and autonomous systems – framed through their leadership and strategic implications A practical foundation for aligning leadership behaviour and decision-making with the actual pace of technology change

Why organisations work with David Rowan He runs the climate-tech and health-tech investment funds at Voyagers and has personally backed more than 180 early-stage tech companies. The view he brings to a board is from active deal flow, not from a research summary. Nine years editing WIRED UK gave him direct working relationships with the founders of WhatsApp, LinkedIn, Google, Spotify, Didi, Xiaomi and Nest while those companies were still being built. He reports on the frontier from inside the rooms where it is designed. His Penguin bestseller Non-Bullshit Innovation came out of a 20-country investigation into what real corporate innovation looks like once the theatre of accelerators and chief disruptive growth officers is stripped away. Boards get a tested set of strategies, not a list of trends. Every talk is researched and built around the sector in the room. Recent briefs include aviation (SITA), insurance, automotive after-market, real estate, luxury fashion and television. He converts frontier technology into the decisions a CEO has to take this quarter. Repeat clients include Goldman Sachs, JP Morgan, Google, Sky, Salesforce and Warner Bros. Biography highlights Founding Editor-in-Chief of WIRED UK, 2008-17 Author of Non-Bullshit Innovation (Penguin); Amazon #1 business bestseller; Financial Times Business Books of the Month; translated into Japanese, Korean, Russian and Ukrainian 900+ keynotes globally; event moderator for the World Economic Forum, the UK and French governments, the G8 Innovation Conference, the Royal Academy of Engineering and GITEX Dubai Technology columnist for The Times, GQ, Condé Nast Traveller and The Sunday Times Investor in 180+ early-stage tech companies; named unicorns include Grammarly, Improbable, Maven Clinic, Cerebral, Commure, Rebellion Defense, Kitopi and Onfido Founder of Voyagers; manager of its climate-tech and health-tech investment funds; adviser to Lakestar Biography The length of task an AI agent can autonomously complete is doubling every seven months. Autonomous robots are already running factory shifts. Most boards are setting strategy from briefings that pre-date both. David Rowan’s working life sits inside the gap between those two realities. As founding Editor-in-Chief of WIRED UK, he built working relationships with the founders of WhatsApp, LinkedIn, Google, Spotify, Didi, Xiaomi and Nest while those companies were still scaling. He has since backed more than 180 early-stage tech companies, eight of which have reached unicorn valuations: Grammarly, Improbable, Maven Clinic, Cerebral, Commure, Rebellion Defense, Kitopi and Onfido. He now runs the Voyagers climate-tech and health-tech investment funds. His Penguin bestseller Non-Bullshit Innovation came out of a 20-country investigation into how incumbent businesses actually generate new value, once the theatre of accelerators and chief disruptive growth officers is set aside. The book was named a Financial Times Business Book of the Month and translated into Japanese, Korean, Russian and Ukrainian. Its argument is that genuine innovation is a discipline with specific, testable strategies. His next book is on culture as the differentiating asset for organisations in an era when AI risks commodifying everything else. Repeat clients include Goldman Sachs, JP Morgan, Google, Sky, Salesforce and Warner Bros. He moderates for the World Economic Forum, the UK and French governments, the G8 Innovation Conference and the Royal Academy of Engineering. His stated KPI for a keynote: leave the audience 91% excited about the future, and 9% afraid. Key speaking topics AI strategy for established businesses Exponential technology and industry disruption Innovation as a managed discipline inside incumbent organisations The future of work in the age of AI agents Culture and talent strategy under AI commodification Sector-specific technology foresight Ideal for CEOs and boards setting AI strategy for established businesses CHROs and Chief People Officers reshaping talent strategy as AI changes the shape of work Chief Innovation, Digital and Strategy leaders translating frontier technology into operating decisions Senior leadership teams in sectors facing acute technology disruption: finance, real estate, aviation, media, healthcare, insurance, automotive Audience outcomes A clearer separation of what is genuinely real at the AI frontier from what remains hype A practical triage of technology decisions: what to fund this quarter, what to pilot, what to ignore The 17 strategies from Non-Bullshit Innovation, applied to the audience’s own sector A sector-specific reading of what AI agents are likely to do to operating models and headcount over the next 24 months

Why organisations work with Debarati Guha Sits at the editorial centre of one of the largest non-Asian international broadcasters covering Asia, with operational responsibility across nine language services run from Germany, and bureaus in Taipei, Delhi, Jakarta, and Chennai. Two decades of front-line reporting on South Asian politics, including direct interviews with Sheikh Hasina, Shashi Tharoor, and Amartya Sen, gives her a working network few moderators in the region can match. Recognised as one of Germany’s top ten women leaders by Global Woman Leader in 2023, with a track record of leading multi-country, multi-language editorial teams through digital transition. Comfortable chairing complex media and policy panels for organisations like WAN-IFRA, where the room mixes editors, regulators, and platform leaders. Bilingual cultural register: equally readable to a Berlin or Brussels audience and a Delhi, Dhaka, or Jakarta one, which matters when the conversation crosses both. Biography highlights Director Programs for Asia, Deutsche Welle, leading nine Asian language departments plus Asia Desk (English and German). MA and MPhil in Political Science, Jawaharlal Nehru University, New Delhi. Career interviews include Sheikh Hasina, Shashi Tharoor, and Amartya Sen. Top 10 “Women Leader in Germany” 2023, Global Woman Leader. “Most Influential Business Leader” 2024, Business Frontier. Executive Management Programme, EBU Academy (2022); BAKS course on Southeast Asian politics and Germany (2023). Panel chair at WAN-IFRA Indian Media Leaders eSummit and similar industry forums. Biography Asia is no longer a single story for international organisations. India, Bangladesh, Indonesia, Taiwan, and the Mekong economies each move on different political clocks, and the editorial signal reaching Western capitals is increasingly mediated by national platforms with their own agendas. Reading Asia from a London or Frankfurt boardroom is harder than it was ten years ago. That is the operational world Debarati Guha works inside every day. As Director Programs for Asia at Deutsche Welle, she oversees nine Asian language services plus the Asia Desk in English and German, with editorial bureaus in Taipei, Delhi, Jakarta, and Chennai. The job involves judgement calls on what crosses the line between regional reporting and global business interest, made several times a day across very different political environments. Her background is unusual for that seat. She trained in political science at Jawaharlal Nehru University in Delhi, started in journalism as the New Delhi assistant to the Frankfurter Allgemeine Zeitung’s Asia correspondent in 2003, and joined DW in 2007. By 2013 she was running DW’s Bengali service; by 2018, the whole Asia operation. Along the way she has interviewed Sheikh Hasina, Shashi Tharoor, and Amartya Sen, and built relationships across South and Southeast Asian political and intellectual life. For Speakers Associates, this means a moderator and panellist who can hold a room of senior leaders on Asia, media, and the politics of digital information without resorting to high-level summary. She was named one of Germany’s top ten women leaders by Global Woman Leader in 2023, and chairs panels at WAN-IFRA’s Indian Media Leaders eSummit, where the audience is exactly the working editors and platform leaders she manages every day. Key speaking topics Geopolitics of South and Southeast Asia Asia-Europe relations and cross-continental media strategy Digital transformation in newsrooms Women in media leadership Disinformation and political reporting in Asia Cross-cultural editorial leadership Ideal for Boards and executive teams shaping Asia strategy or expansion plans Conferences on international media, journalism, and digital news Leadership programmes on cross-cultural management and women in senior media roles Panels and summits requiring an informed chair on Asia, geopolitics, or the information ecosystem Audience outcomes A clearer read on the political and media dynamics shaping South and Southeast Asia Direct insight into how a major international broadcaster makes editorial calls across nine languages and three Asian bureaus Practical perspective on running multilingual, multicultural teams through digital change A sharper sense of where disinformation, platform power, and politics intersect in Asia A panel or session moderated with senior-room composure, where the questions land and the speakers are pushed

Why organisations work with Deborah Nas Her book Design Things That Make Sense sets out a codified methodology: 24 strategies to strengthen what technology offers users and 13 to reduce the resistance that causes adoption to fail. It gives innovation teams a structured diagnostic rather than a set of principles to interpret on their own. She founded the Centre for Quantum and Society at QuantumDelta NL – making her one of very few people who can address quantum technology’s ethical, legal, and organisational implications in terms senior teams can act on before the technology reaches commercial scale. Her position leading multidisciplinary research teams at TU Delft – on mobility futures, quantum societal readiness, and energy transition – means her perspective is shaped by live scientific frontier work, not commentary on published trends. She is on the investment committee of InnovationQuarter Capital, a €143 million deep tech fund, and on the supervisory board of Hardt Hyperloop – direct sight lines into where deep tech investment is moving, not just where it currently stands. Her starting point is the psychology of technology resistance – the reason most implementation initiatives stall – which is the question most organisations have not structured an answer to and the one that most directly explains expensive innovation failures. Biography highlights Professor of Strategic Design for Technology-based Innovation, Faculty of Industrial Design Engineering, TU Delft Initiative Lead and founder, Centre for Quantum and Society, QuantumDelta NL Author, Design Things That Make Sense (BIS Publishers) – a practitioner framework of 37 named design strategies for technology-based product innovation Visiting professor, Politecnico di Milano Investment committee member, InnovationQuarter Capital (€143 million deep tech fund); supervisory board member, Hardt Hyperloop MSc Industrial Design Engineering with honours, TU Delft; 16 years co-founding and running a strategic innovation agency Biography Technology that works and technology that people will actually use are two different achievements. Deborah Nas, Professor of Strategic Design for Technology-based Innovation at TU Delft’s Faculty of Industrial Design Engineering, has spent 25 years studying the gap between them. She began at Philips and KPN, then spent 16 years co-founding and running a strategic innovation agency before anchoring her work in research and teaching at TU Delft. Her core contribution is a codified methodology: 24 design strategies to strengthen what a technology product offers and 13 to reduce the user resistance that causes adoption to fail. Published in Design Things That Make Sense (BIS Publishers), the framework draws on consumer psychology and is structured for direct use by product teams and innovation managers. She also teaches it as a visiting professor at Politecnico di Milano. She has extended this work into the next generation of technology adoption challenges. As founder and Innovation Lead of the Centre for Quantum and Society at QuantumDelta NL, she is developing the ethical, legal, and societal frameworks organisations will need before quantum technology reaches commercial scale. She is also on the supervisory board of Hardt Hyperloop and on the investment committee of InnovationQuarter Capital, a €143 million deep tech fund. Organisations that work with her are not typically looking for enthusiasm about what emerging technology can do. They want a structured answer to why technology investments fail at the point of adoption – and a methodology that gives their teams a way to act on it. Key speaking topics Technology adoption and consumer resistance Human-centred design for technology-based innovation AI strategy and organisational readiness Quantum technology and societal implications Deep tech ecosystem and investment landscape Future of work and intelligent systems Innovation strategy for established organisations Ideal for Chief Innovation Officers, R&D leads, and product strategy teams working with emerging technologies Boards and senior leadership teams making investment decisions on AI, quantum, or deep tech Corporate innovation functions examining why technology projects stall or fail at adoption Government and public sector bodies engaging with the organisational and societal implications of advanced technologies Audience outcomes A clear framework for understanding why technology-based products fail at adoption – and what design decisions change that outcome Working familiarity with the Tech Design Strategies methodology: 24 strategies to strengthen product benefits and 13 to reduce user resistance Practical orientation to how AI and quantum technologies will affect their specific industry or sector Ability to separate technological capability from technology adoption as distinct strategic problems requiring different organisational responses Insight into how organisations and investors at the deep tech frontier are currently making decisions about technology bets

Why organisations work with Dex Hunter-Torricke He has been inside the rooms where the current AI systems were built and launched. He led global communications for Google DeepMind and the go-to-market for Gemini, which gives him a working view of what frontier model deployment actually looks like, not a commentator’s view. He sits on the board of HM Treasury, appointed by the Chancellor in 2025. This is a working policymaker’s seat, not an honorific, and gives him a sovereign-level read on how governments are now thinking about AI, capital and competition. His communications track record is rare in scope: speechwriter to Mark Zuckerberg, Larry Page, Eric Schmidt and Ban Ki-moon, and head of communications at SpaceX through a hypergrowth period. Few advisors have written the words a board’s CEO now wants to write. He has publicly broken from the position he was paid to promote, founding the Center for Tomorrow in 2026 to argue for AI taxation, displacement support and tighter controls. That credibility is hard to manufacture and audiences notice it. Biography highlights Head of Global Communications and Marketing, Google DeepMind, 2023 to 2025; led go-to-market for Gemini. Non-Executive Board Member, HM Treasury, appointed by Chancellor Rachel Reeves, October 2025. Former Head of Communications, Oversight Board for Meta. Former Head of Communications, SpaceX; Head of Executive Communications, Facebook, 2012 to 2016, as personal speechwriter to Mark Zuckerberg. Google’s first executive speechwriter, supporting Larry Page and Eric Schmidt. Speechwriter and spokesperson for UN Secretary-General Ban Ki-moon, from 2008. Founder, Center for Tomorrow, a non-profit on AI governance and societal resilience, launched February 2026. BA Politics, University College London; MPhil Russian and East European Studies, University of Oxford. Biography The people who built the current generation of AI systems are now the ones publicly warning about them. That shift, from inside-the-tent advocacy to public reform argument, is one of the most consequential repositioning moves in the technology industry. Hunter-Torricke is one of its more visible practitioners. He led global communications and marketing at Google DeepMind from 2023 to 2025, including the go-to-market for Gemini. Before that he ran communications at SpaceX, led executive communications at Facebook through its mid-2010s expansion as Mark Zuckerberg’s speechwriter, and was Google’s first executive speechwriter to Larry Page and Eric Schmidt. His career began at the United Nations, writing for Secretary-General Ban Ki-moon. In October 2025 he was appointed by Chancellor Rachel Reeves to the board of HM Treasury, giving him an active seat at the centre of British economic and AI policy. In February 2026 he launched the Center for Tomorrow, a non-profit pushing for AI taxation, displacement support and stronger international coordination as compute concentrates in a small number of firms. For boards, the value is unusual. Most AI commentators have either operated frontier systems or shaped policy. Hunter-Torricke has done both, in named institutions, and is now arguing publicly that the trajectory needs correcting. That gives senior audiences a working view of how the AI race actually looks from the inside, and what the institutional response is starting to demand. Key speaking topics Frontier AI deployment and competitive strategy AI governance, regulation and the post-2025 policy environment Communications and narrative strategy for senior leaders Workforce displacement and the social contract under AI Big Tech concentration and the future of digital power Reputation and public trust in technology firms Ideal for Boards and executive committees setting AI strategy and risk appetite CEOs, chief communications officers and chief strategy officers exposed to AI public-trust risk Policy leaders, regulators and sovereign investors assessing AI exposure Senior leadership offsites where AI competitive pressure and governance need to be discussed in the same conversation Audience outcomes A working read on how frontier AI labs actually make deployment decisions, from someone who was in those decisions. A clearer picture of where AI governance is heading in the UK, EU and US, and what that means for corporate exposure. A sharper view of the AI workforce question: which displacement effects matter, on what timeline, and which corporate responses are credible. A stronger framework for senior communications when public trust in technology is contested.

Why organisations work with Dhiraj Mukherjee He has done the thing most innovation speakers describe. Shazam was a category invention before mobile internet was mainstream, and it ended with a reported $400 million sale to Apple. A 250-company investment portfolio across AI, climate tech and frontier software gives him a working map of which emerging technologies are moving from pilot to operating substance and which are stalling. Direct line of sight into capital flows alongside Bill Gates’s Breakthrough Energy Ventures and Al Gore’s Generation Investment Management, which is rare for a keynote speaker working on climate and AI together. Operator credibility inside large incumbents as well as start-ups, including Head of Banking Innovation at Virgin Money and senior roles at Bauer Media, Infosys and Reuters. Named to the Financial Times’ Top 50 European technology entrepreneurs, The Digital Banking Club’s Power 50 and Smith & Williamson’s Power 100, which positions him as a credible voice on UK and European innovation policy as well as commercial strategy. Biography highlights Co-founder of Shazam Entertainment, acquired by Apple in 2017 for a reported $400 million Named to the Financial Times’ Top 50 European technology entrepreneurs (2015) Elected to The Digital Banking Club’s Power 50 (2016) and Smith & Williamson’s Power 100 (2017) Angel investor in over 250 technology companies across AI, climate tech and “Tech for Good” Former Head of Banking Innovation, Virgin Money; previous roles at Bauer Media, Infosys, Reuters and Save the Children Mathematical Economics degree, Dartmouth College; MBA, Stanford Graduate School of Business Biography Shazam was launched in 2000, before smartphones, before app stores, before mobile data was reliable enough to stream a song. The team built a service that recognised music by sound from a feature phone over a voice call. Eighteen years later, Apple bought the company for a reported $400 million. Dhiraj Mukherjee co-founded it. That history matters because it is the practical version of what most boards are now trying to do with AI. Identify a capability that the technology curve will eventually make obvious, build it before the market is ready, survive long enough to be right. Shazam went through the dot-com crash and the 2008 financial crisis on the way to Apple, which is why his perspective on category-building is closer to operating experience than to theory. Since exiting Shazam, Mukherjee has invested in more than 250 technology companies, with a declared focus on AI, climate tech and “Tech for Good.” He has co-invested into Breakthrough Energy Ventures, the climate vehicle backed by Bill Gates, and into Al Gore’s Generation Investment Management, which gives him an unusual vantage point on where institutional capital is actually moving across the AI and energy transition curves. His earlier career sits inside large incumbents, including Head of Banking Innovation at Virgin Money and senior roles at Bauer Media, Infosys and Reuters. The Financial Times named him to its Top 50 European technology entrepreneurs in 2015, and he holds an MBA from Stanford Graduate School of Business and a Mathematical Economics degree from Dartmouth. Key speaking topics Emerging technology and AI strategy Innovation and category creation Climate tech and the energy transition investment case Digital transformation inside large incumbents Resilience and the long arc of building a technology company Tech for Good and impact investing The future of work in the age of AI Ideal for CEOs, CSOs and innovation leads setting AI and emerging-technology strategy Boards and investment committees pressure-testing capital allocation across AI and climate Senior leadership teams inside banks, media and consumer businesses navigating digital transformation Founder and scale-up audiences inside corporate venturing and accelerator programmes Audience outcomes A sharper read on which emerging technologies are moving from pilot to operating advantage and which are stalling A working framework, drawn from Shazam, for how categories actually get built through downturns An investor’s view of where AI and climate-tech capital is concentrating, and what that signals for corporate strategy A more honest sense of the time, capital and persistence required to compound a technology bet into commercial outcome

Why organisations work with Dirk Ahlborn He has operated, not theorised, one of the largest crowd-powered equity companies ever built, with hundreds of contributors working for future equity on a single transport moonshot. He took an open concept posted publicly by Elon Musk and turned it into an incorporated global venture with government-level feasibility partnerships, giving leaders a concrete template for converting ideas into companies. His JumpStartFund platform is studied as a Harvard Business School case on crowd-powered innovation ecosystems, which gives the argument institutional weight beyond bureau bios. He brings a specific point of view on how to structure incentives, intellectual property and contribution when the workforce is distributed, part-time and equity-aligned rather than payrolled. He speaks from direct operator experience in alternative energy, manufacturing and transport, not from consulting on innovation as an abstract discipline. Biography highlights Co-founder and Chairman of Hyperloop Transportation Technologies, a company incubated on a crowd-powered equity model. Founder and CEO of JumpStarter Inc., operator of the JumpStartFund crowdsourcing platform. Subject of a Harvard Business School case study on crowd-powered innovation ecosystems. Keynote speaker at SXSW, the World Economic Forum, CES and the Smart Mobility World Congress. Featured in Forbes, Wired, Bloomberg, CNN, CNBC, Wall Street Journal and Boston Globe. Contributor to the Bosch Global thought leadership platform. Biography Hyperloop Transportation Technologies was set up in 2013 using a method almost no serious company had tried at that scale: hundreds of contributors working ten hours a week in exchange for stock options, coordinated through an online platform. The company that emerged went on to sign feasibility agreements with multiple governments. The interesting argument is not the train. It is the operating model. That model came out of JumpStartFund, the crowdsourcing platform Ahlborn launched the same year in El Segundo. The platform was designed to solve a specific problem, which is that most ideas never become companies because the capital, talent and coordination to build them sit in separate silos. JumpStartFund compressed those into one process. Harvard Business School has published a case study on how that works. Ahlborn’s background is unusually operational for someone running a moonshot. He started in Berlin banking in 1993, moved to Italy and built alternative energy and interior design businesses through the 1990s, and joined the Girvan Institute of Technology in Southern California in 2009 to help commercialise early-stage tech linked to NASA’s Ames Research Center. That sequence matters because his argument is not theoretical. He has built, sold and scaled businesses across sectors that rarely share a playbook. What he offers serious organisations is a working thesis on how to mobilise contribution at scale without hiring at scale, tested against one of the most ambitious engineering projects of the last decade. The thesis is portable. The specifics, stock-for-time structures, advisory-point commissions, crowd-led IP generation, translate into any organisation trying to attempt something its existing headcount and budget were not designed to deliver. Key speaking topics Crowd-powered venture building New business models for the post-industrial economy Entrepreneurship and distributed equity The future of transportation Innovation ecosystems and platform design Leading moonshot projects inside and outside the corporation Ideal for CEOs and founders designing new venture models outside conventional VC structures. Innovation, strategy and corporate venture leads running moonshot or skunkworks programmes. Transport, infrastructure and mobility leaders tracking what comes after road and rail. Boards weighing how to structure equity, IP and contribution in distributed organisations. Audience outcomes A concrete framework for running a crowd-powered venture, drawn from an operating example rather than a theoretical model. A clearer view of when equity-for-time structures work, and when they break. Specific language for pitching non-standard venture models to boards and institutional partners. A sharper read on what the next decade of transport, mobility and infrastructure investment is likely to reward.

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

Why organisations work with Christina Yan Zhang She co-writes the UN ITU standards her clients will eventually be measured against. Her CitiVerse evaluation framework spans 130 indicators across 14 domains, with input from more than 30 global authorities. She has converted that standards work into operational strategy for cities, including Tampere’s Metaverse Vision 2040, the first people-centred metaverse strategy adopted as a UN resource for governments. Her China innovation insight is grounded in direct operating experience, not commentary. As QS China Director from 2013 to 2020, she sat across hundreds of Chinese universities, national labs and science parks during the 13th Five-Year Plan. She holds advisory positions across the International Science Council’s Centre for Science Futures, The Economist Impact’s AI economy board, and TechUK’s Digital Twins Board, giving her unusually direct line of sight into where AI policy is heading. She was named in the 100 Global Women in AI 2025 list at Davos and chaired the jury of the 2024 Metaverse Entertainment World Awards under the patronage of Prince Albert II of Monaco. Biography highlights CEO, The Metaverse Institute Vice Chair, UN ITU Metaverse Working Group on Sustainability, Accessibility and Inclusion Co-Chair, UN ITU Task Group on Pre-standardisation for the CitiVerse Author of the UN’s first approved technical report on People-Centred CitiVerse China Director, QS World University Rankings, 2013 to 2020 100 Global Women in AI 2025 (announced at Davos) Biography The rules for AI in cities, public services and immersive environments are being written right now, mostly inside the UN ITU. Christina Yan Zhang is one of the people writing them. As Co-Chair of the UN ITU Task Group on Pre-standardisation for the CitiVerse, she leads the evaluation framework that 30 plus global authorities have shaped and that hundreds of cities are expected to align to before 2030. That standards work feeds directly into operational strategy. Her team at The Metaverse Institute produced Tampere Metaverse Vision 2040, the first people-centred metaverse strategy commissioned by a city government and subsequently published by the UN as a resource for other administrations. She is also the author of the UN’s first approved technical report on People-Centred CitiVerse, which set out an 8-level entry framework for governments and operators moving into virtual environments. She arrived at this work through an unusual route. Her PhD in 2012 was on digital twin applications for the construction industry, well before the term entered mainstream board conversations. Between 2013 and 2020 she was China Director for QS World University Rankings, building the firm’s China operation from scratch and sitting close to the universities, science parks and national labs that drove the country’s 13th Five-Year Plan in research and innovation. She now advises across the International Science Council’s Centre for Science Futures, The Economist Impact’s AI economy board, and TechUK’s Digital Twins Board. The throughline is consistent: where AI, digital twins and virtual environments meet public infrastructure, she has been writing the standards before most boards have read them. Key speaking topics AI governance and the UN CitiVerse standards Digital twins for cities and critical infrastructure Responsible deployment of virtual environments People-centred AI strategy for governments and operators China’s innovation system and research capacity Future of work in AI-enabled cities Ideal for Boards and C-suites setting AI, digital and immersive technology strategy Government and city leadership teams designing smart city or CitiVerse roadmaps Heads of innovation, digital and infrastructure inside regulated industries Investors and operators positioning capital around AI-powered urban and built-environment plays Audience outcomes A working map of where UN ITU standards on AI and the CitiVerse are heading, and what that means for their own roadmap A clearer view of how digital twins move from technical pilot to citywide operating system Direct insight into China’s innovation engine from someone who operated inside it for seven years A framework for testing whether their current AI and virtual-environment plans will hold up against emerging international standards

Why organisations work with Dr Gaia Grant A working University of Sydney Business School researcher whose doctoral thesis on sustainable innovation drew on 70+ global leader interviews and 4,000+ survey responses, so the frameworks she presents are tested data, not opinion. Two Wiley-published books, “The Innovation Race” and “Who Killed Creativity?”, that give buyers a defined intellectual position they can preview before booking. Proprietary diagnostics, the Innovative Change Leader Profile (iCLi) and the Polar Positioning tool, that let an executive team locate where their own innovation culture is breaking down rather than receive a generic talk. Two decades of advisory work with Google, JP Morgan, Visa, Salesforce, Boeing, Deloitte Digital and KPMG, which means the examples in the room land at the level senior teams operate at. A specific argument on ambidextrous leadership, the discipline of running today’s business and tomorrow’s at the same time, which is the actual problem most innovation programmes fail on. Biography highlights Researcher and lecturer in innovation, University of Sydney Business School, Discipline of Strategy, Innovation and Entrepreneurship. Co-author of “The Innovation Race” (Wiley, 2016) and the international bestseller “Who Killed Creativity?” (Wiley). Executive Director of Tirian, an international consultancy with client work across more than 30 countries. Creator of the Innovative Change Leader Profile (iCLi) and the Polar Positioning (PoP) tool, used inside corporate innovation and leadership programmes. Featured in Harvard Business Review, BBC, ABC TV, Reuters, Fast Company and the Wall Street Journal. Speaker and facilitator for Salesforce, Gartner Symposium, the World Presidents Organization, Google, JP Morgan, Boeing, KPMG and Deloitte Digital. Biography Innovation budgets keep rising while breakthrough output keeps falling. The gap is not a creativity problem; it is a culture and leadership problem, and that is the territory Dr Gaia Grant has spent her career mapping. Her doctoral research at the University of Sydney Business School, drawing on more than 70 interviews with global innovation leaders and over 4,000 survey responses, set out to identify what actually makes innovation sustainable inside large organisations. The work produced a set of diagnostics, the Innovative Change Leader Profile (iCLi) and the Polar Positioning tool, that locate where a leadership team is collapsing into one mode (efficiency, control, short-term certainty) at the expense of the other (exploration, risk, long-horizon bets). That argument runs through her two Wiley books. “Who Killed Creativity?”, co-authored with Andrew Grant, became an international bestseller by treating the loss of creative capacity as an organisational and cultural diagnosis rather than a personal failing. “The Innovation Race” extends the analysis to whole companies and economies, framing the central problem as ambidextrous leadership: the practical discipline of running the existing business and the next one at the same time. As Executive Director of Tirian, she works with Google, JP Morgan, Visa, Salesforce, Boeing, Deloitte Digital and KPMG, which gives her the rarer asset in this field: live evidence of where the published frameworks hold up under operating pressure and where they have to be retuned. Her commentary and research have appeared in Harvard Business Review, BBC, Reuters, Fast Company and the Wall Street Journal. Key speaking topics Innovation leadership and culture Ambidextrous leadership and the explore/exploit tension Sustainable innovation and purpose-driven growth Creative thinking inside large organisations Change leadership and cultural transformation Responsible decision-making about new technologies, including AI Future-proofing leadership for digital transformation Ideal for CEOs, CSOs and innovation leads commissioning enterprise innovation programmes that need to move past pilot stage. CHROs and chief learning officers building leadership development around adaptive and ambidextrous capability. Boards and executive teams confronting the trade-off between core-business performance and long-horizon investment. Transformation and culture leads inside professional services, financial services and technology firms. Audience outcomes A clear diagnosis of where their own organisation’s innovation culture is breaking down, framed against the iCLi and Polar Positioning models. A working vocabulary for the explore/exploit trade-off that leadership teams can apply to specific portfolio decisions. Evidence-based examples from Google, JP Morgan, Salesforce, Boeing and similar firms on what works and what fails. A defensible position on responsible adoption of new technologies, including AI, inside an existing operating culture. Confidence to challenge the assumption that “more creativity training” will fix what is fundamentally a leadership and structural problem.

Why organisations work with Lisa Feldman Barrett She has reshaped the scientific consensus on emotion. Her theory of constructed emotion is now taught in psychology, neuroscience and affective computing curricula, and it directly contradicts the assumptions baked into most corporate EQ training and emotion-detection AI. She translates first-tier neuroscience for boardrooms without diluting it. Her two trade books, How Emotions Are Made and Seven and a Half Lessons About the Brain, are written for general readers but cite the same primary research she publishes in Science and Nature Neuroscience. Her work has been adopted by audiences that need it to be right, including FBI behavioural analysts, the legal community through her role as Chief Science Officer at the Center for Law, Brain & Behavior, and senior medical faculties at Harvard and Massachusetts General Hospital. A leader who books her gets a researcher with NIH Pioneer Award and Guggenheim credentials, not a popular-science communicator working from secondary sources. Biography highlights University Distinguished Professor of Psychology, Northeastern University, with appointments at Harvard Medical School and Massachusetts General Hospital. Chief Science Officer, Center for Law, Brain & Behavior at Massachusetts General Hospital. Author of How Emotions Are Made: The Secret Life of the Brain and Seven and a Half Lessons About the Brain. TED speaker, with the talk “You Aren’t at the Mercy of Your Emotions” passing 6.5 million views. NIH Director’s Pioneer Award; Guggenheim Fellowship; APA Distinguished Scientific Contribution Award; APS William James Fellow Award. Past President of the Association for Psychological Science; co-founder of the Society for Affective Science; over 275 peer-reviewed publications. Biography The textbook view of emotion, that anger, fear and joy are hard-wired circuits with universal facial signatures, dominated psychology, psychiatry and product design for most of the last century. It is also wrong. Lisa Feldman Barrett’s laboratory at Northeastern has spent twenty-five years showing that the brain constructs emotion in the moment, drawing on past experience, bodily state and cultural learning. Her theory of constructed emotion has reshaped affective science and is now reaching the institutions that depend on getting emotion right. She advises the FBI on behavioural analysis, serves as Chief Science Officer at the Center for Law, Brain & Behavior, and her work is cited in debates over emotion-detection AI and courtroom evidence. Barrett holds a University Distinguished Professorship at Northeastern, with appointments at Harvard Medical School and Massachusetts General Hospital. She has published more than 275 peer-reviewed papers, sits among the top 0.1 percent most-cited scientists in the world, and has received the NIH Director’s Pioneer Award, a Guggenheim Fellowship, and the APA Distinguished Scientific Contribution Award. For senior leaders, the practical payoff is a sharper model of how their own brains, and their people’s, actually work under uncertainty. That model contradicts a great deal of what corporate wellbeing, EQ training and emotion-aware technology currently sell. Key speaking topics The science of emotion in the workplace Brain, prediction and decision-making under uncertainty Stress, allostasis and the body budget The neuroscience of self-regulation for senior leaders Emotion-detection AI and the limits of affective computing Mental health and the construction of experience Communication and influence grounded in brain science Ideal for CEOs, CHROs and senior leadership teams reassessing wellbeing, EQ training and performance management Boards and risk committees evaluating emotion-recognition AI, behavioural surveillance, or affective computing investments Healthcare, legal and security organisations whose decisions hinge on interpreting human behaviour Senior leaders wanting a substantive, science-led perspective on stress, resilience and decision quality Audience outcomes A working understanding of how the brain predicts and constructs emotion, replacing the “universal emotions” model that underpins most corporate EQ content. A clearer view of what emotion-detection technology can and cannot reliably do, useful for evaluating vendors and policy. Practical implications for stress, recovery and senior decision-making, grounded in the brain’s energy regulation rather than pop-psychology. Sharper questions about how performance reviews, hiring assessments and customer research read emotional signals.

Why organisations work with Robert Smith He is a working AI researcher with more than 100 peer-reviewed papers, not a consultant translating other people’s science. When a board asks how a model actually behaves, he can answer at the level of the maths. His book Rage Inside the Machine sets out a specific thesis on why algorithmic bias is structural rather than incidental. It gives leadership teams a shared vocabulary for the risk before they have to defend a hiring, credit, or pricing decision. He has built and deployed AI inside organisations where failure is expensive: NASA, Boeing, Airbus, the Bank of England, the UK Competition and Markets Authority. The reference points are operational, not theoretical. He led AI and data science at Digital Catapult, the UK government’s deep tech innovation centre. He has seen what separates the firms that move beyond pilots from the ones that stall. As a Founding Trustee of We and AI and a Senior Fellow at UCL, his independence on responsible AI is institutional, not positional. That matters when the audience needs a voice that does not sell the technology. Biography highlights Author, Rage Inside the Machine: The Prejudice of Algorithms and How to Stop the Internet Making Bigots of Us All (Bloomsbury Business). Shortlisted, UK Business Book Awards, Specialist category. Former Director of AI and Data Science, Digital Catapult. Senior Honorary Fellow, Computer Science Faculty, University College London. Co-founder, UCL Centre for Decision-Making Uncertainty. Founding Trustee, We and AI. Author of over 100 peer-reviewed papers in artificial intelligence, with a focus on evolutionary computation, knowledge representation, and machine learning. Applied AI work for NASA, Boeing, Airbus, BT, the European Union, the Bank of England, the UK Competition and Markets Authority, and US national laboratories. Biography The history of artificial intelligence is older than most boardrooms assume, and so are the design choices that made today’s models prone to bias. That is the argument running through Robert Smith’s work as a complexity scientist, and it is the reason serious organisations book him when they need an AI conversation that holds up under scrutiny. Smith spent more than three decades inside applied AI before the current wave of public attention. He built systems for NASA, Boeing, Airbus, BT, the Bank of England, the UK Competition and Markets Authority, the European Union, and US national laboratories at Los Alamos and Oak Ridge. He went on to lead AI and data science at Digital Catapult, the UK’s deep tech innovation centre, where the question shifted from research to deployment at scale. His book Rage Inside the Machine, published by Bloomsbury Business and shortlisted for the UK Business Book Awards, traces algorithmic bias back through the intellectual history of computing. The case is technical, not rhetorical: apparently neutral data and models can encode prior injustice across hiring, credit, insurance, policing, and content moderation. He gives leadership audiences a way to interrogate their own systems without needing to read the code. Smith holds a PhD, is a Fellow of the Royal Society of Arts, a Senior Honorary Fellow at UCL Computer Science where he co-founded the Centre for Decision-Making Uncertainty, and a Founding Trustee of We and AI. He has more than 100 peer-reviewed papers to his name and has presented at Google, the UK Financial Conduct Authority, and corporate, academic, and policy venues internationally. Key speaking topics Artificial intelligence and generative AI AI ethics and responsible technology Algorithmic bias and governance Digital transformation Data analytics Future of technology Risk management Ideal for Boards and executive committees signing off on enterprise AI strategy CTOs, CIOs, Chief Data Officers, and heads of AI looking for a credible external voice on governance and bias Risk, compliance, and regulatory leaders in financial services, insurance, healthcare, and public sector Senior HR and people leaders deploying AI in hiring, performance, or workforce decisions Audience outcomes A clearer view of where bias actually originates inside their AI systems, with examples drawn from peer-reviewed research and operational deployments. A working language for board-level conversations about AI risk, beyond the vendor pitch and the headline. Specific questions executives can put to their data science teams and external suppliers to test whether claims about model behaviour are defensible. A grounded sense of where AI is genuinely creating value in regulated environments, and where it is creating exposure. A perspective on responsible AI that comes from a working scientist and trustee of an independent charity, not from a platform vendor.