Kunstig intelligens og generativ AI

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

Why organisations work with Abigail Posner Holds a rare combination of credentials in cultural anthropology (Harvard, magna cum laude), creative strategy (Publicis New York, DDB New York), and senior technology leadership (13 years at Google). Few speakers can address AI and human creativity from inside all three worlds. Pioneered Humanizing Digital at Google, an anthropology-led research programme exploring the emotional relationship between people and technology. Her frameworks come from original fieldwork conducted inside Google. Led AI integration and a cultural transformation programme for 4,000+ Google sales professionals. Speaks from direct experience about what works and what fails inside one of the most AI-fluent companies in the world. Provides concrete methodologies, the Expansiveness Edge framework and the Human Code approach, that teams can apply immediately to specific business problems. Biography highlights Former Director, U.S. Creative Works at Google; thirteen years at the company Pioneered Humanizing Digital, Google’s anthropology-led thought leadership series on the emotional relationship between people and technology Founder of Human Code Company; host of the Human Code podcast Magna cum laude graduate of Harvard University in social anthropology Contributor to The Economist, The New York Times, Business Insider, CNBC, Forbes, and Fast Company; ongoing columnist for The Drum Recipient of the United Nations Media Impact Award Biography Google spent more than a decade trying to understand the emotional logic behind why people engage with digital content. The Humanizing Digital research programme came out of that effort, an anthropology-led series Abigail Posner pioneered while at the company. The route there was unusual. Posner is a magna cum laude graduate in social anthropology from Harvard who spent years in brand strategy at Publicis New York and DDB New York. As Director of U.S. Creative Works at Google, she led creative strategy for YouTube’s largest global advertisers and ran a cultural transformation programme for over 4,000 sales professionals. Posner now leads Human Code Company, the consultancy she founded after leaving Google. Her Expansiveness Edge and Human Code frameworks address the question every leader is asking: what do my people uniquely contribute when every competitor has the same AI tools. Both frameworks come from years of anthropological fieldwork done inside Google. Her writing appears in The Economist, The New York Times, Business Insider, CNBC, Forbes, and Fast Company; she is an ongoing columnist for The Drum. The United Nations awarded her its Media Impact Award for the work. Key speaking topics Human creativity in the AI age The Expansiveness Edge framework AI as a creative amplifier Cultural anthropology applied to business The future of work in an AI economy Ideal for CMOs, brand and marketing leaders working out how AI changes their craft Chief Innovation Officers and senior creative leaders inside marketing, product, or innovation teams CHROs and learning leaders building creative capacity across the workforce Senior leadership teams setting an organisation-wide position on what humans do and what AI does Audience outcomes A named framework, the Expansiveness Edge, for combining different disciplines and perspectives within an individual to produce ideas competitors cannot replicate A working answer to where human judgement still beats AI in their function, and which work to defend against automation Specific exercises they can run inside their own teams to activate creative thinking on demand A reframe of AI as an amplifier of human ingenuity, with concrete ways to deploy it that way

Why organisations work with Abishur Prakash He defined the geopolitics-of-technology field early and keeps naming what comes next. His 2016 book Next Geopolitics set out a scenario framework for state competition over AI and robotics that boards are now living through. His latest, The Great Fracturing, maps the broken order they operate in today. He gives executives a working vocabulary for the new operating environment. Concepts he coined, including Vertical Globalization, Geopolitics of AI and Business Iron Curtain, name dynamics that buyers can otherwise only describe in fragments. His work at the Center for Innovating the Future has been cited by the World Economic Forum, Brookings, the Foreign Policy Research Institute, and the UAE Ministry of Foreign Affairs, signalling that policymakers and corporates draw on the same analysis. He briefs in two registers. He has testified to the Senate of Canada and writes regularly in CNBC, Nikkei Asia, BBC, Politico, Fortune and the WSJ, so he is fluent with both heads of state and operating executives. He runs an advisory firm, The Geopolitical Business, that is built specifically for corporate decision-makers, not academic audiences. The reading frame is always: what does this mean for your next investment, supplier, market or product launch. Biography highlights Founder and CEO of The Geopolitical Business, a Toronto-based advisory firm. Author of six books, including his latest, The Great Fracturing: How Geopolitics Is Breaking the World (2026), The World Is Vertical, and Next Geopolitics Volumes One and Two. Former geopolitical futurist at the Center for Innovating the Future; represented CIF in testimony to the Senate of Canada in 2017. Work cited by the World Economic Forum, Brookings Institution, Foreign Policy Research Institute, and the UAE Ministry of Foreign Affairs. Bylines and commentary in CNN, BBC, CNBC, WSJ, Nikkei Asia, Reuters, Politico, Fortune, The Telegraph, Scientific American and SCMP. Coined frameworks now used in corporate strategy discussions: Next Geopolitics, Vertical Globalization, Geopolitics of AI, Business Iron Curtain. Biography The intersection of state power and corporate strategy is where most boardroom assumptions are now breaking. Export controls on chips, sanctions regimes that shift quarterly, severed supply corridors and AI rivalry between Washington and Beijing are no longer macro context. They sit on the operating P&L. Abishur Prakash has been mapping this terrain since 2013, when he first set out the case that geopolitics and technology had become a single field. Six books built that argument in stages. Next Geopolitics Volumes One and Two used scenario-based chapters to show how AI, robotics and biotech would force governments and companies into new postures. Go.AI examined the state-level race for artificial intelligence advantage. The Age of Killer Robots looked at autonomy in defence. The World Is Vertical: How Technology Is Remaking Globalization argued that the flat, integrated world of the 1990s and 2000s is being replaced by a layered, segmented one in which corporates choose blocs rather than markets. His latest book, The Great Fracturing: How Geopolitics Is Breaking the World, widens the lens from technology to the whole order. It traces how trade, ideology, connectivity and alliances are breaking into rival systems, reshaping everything from capital flows to how AI is deployed. His vantage point is built on both policy and corporate exposure. As a futurist at the Center for Innovating the Future, his work was cited by the World Economic Forum, Brookings and the UAE foreign ministry, and he testified to the Senate of Canada in 2017. He now runs The Geopolitical Business, a firm built to convert that analysis into decisions for executives, central banks and investors. His commentary appears regularly in CNBC, BBC, Nikkei Asia, the WSJ, Politico and Fortune. What boards take from him is not a worldview, but a working method. Concepts he coined, Vertical Globalization, Geopolitics of AI, Business Iron Curtain, give leadership teams a vocabulary for things they were already feeling on supply, capital and market access. The output is concrete: which corridors are closing, which blocs are forming, where the next sanction or subsidy is likely to land, and what that means for the next investment cycle. Key speaking topics Geopolitics of technology and AI US-China strategic and technology competition Vertical Globalization and the end of flat-world supply chains Sanctions, export controls and the Business Iron Curtain Scenario planning for boards and investors Long-range geopolitical foresight Bloc formation and the future of trade corridors The fracturing of the global order Ideal for Boards, CEOs and CSOs setting strategy across multiple geopolitical blocs CFOs and treasury leaders running capital allocation under sanctions and currency volatility Heads of supply chain, procurement and manufacturing footprint Investors, central banks and policy leaders responsible for long-horizon risk Audience outcomes A clearer reading of how state-level technology rivalry is reshaping their specific industry Named frameworks for describing geopolitical change inside their own strategy process Sharper questions for the next board, investment committee or supply review A view of which corridors, blocs and choke points to watch over the coming cycle Confidence to act on geopolitical risk before it becomes a balance-sheet event

Why organisations work with Adam Cheyer He built the original Siri – not from a single insight but through more than a decade of AI research at SRI International – and then rebuilt the paradigm at Samsung and Airbnb. That depth of iteration, across platforms and at scale, is not replicated elsewhere on the speaking circuit. Four of his five ventures were acquired specifically for their AI technology, by Apple, Samsung, Airbnb, and Cognizant. The acquisitions validate not just the product but the engineering and commercial judgements behind it. After each acquisition, he stayed and led AI integration inside the acquiring organisation. Most founders don’t stay for that part – which is where AI strategies most commonly fail. He was ranked #2 on Voicebot.ai‘s Top Visionaries in Voice 2019 – behind Jeff Bezos and ahead of Sundar Pichai – while actively deploying conversational AI inside Samsung’s global platform. His foundation at SRI International as Chief Architect of CALO/PAL – the US government’s largest AI project, funded by DARPA – means his commercial instincts are grounded in the actual science of how intelligent systems work. Biography highlights Co-founder of Siri, Inc.; Director of Engineering, iPhone/iOS group, Apple – led AI and server-side development for Siri across more than 500 million devices Co-founder and VP R&D, Viv Labs, acquired by Samsung in 2016; Viv became the technical foundation for Samsung’s Bixby Chief Architect, CALO/PAL project, SRI International – the US government’s largest-funded AI research programme, funded by DARPA Co-founder and CEO, GamePlanner.AI, acquired by Airbnb (late 2023, est. ~$200M); VP AI Experience, Airbnb Founding member, Change.org; co-founder, Sentient Technologies (acquired by Cognizant) 60+ peer-reviewed publications; 50+ patents across AI, machine learning, distributed computing, and conversational systems Ranked #2, Voicebot.ai Top Visionaries in Voice 2019; 2024 Brandeis Alumni Achievement Award; TechCrunch Crunchies Award for Best Technology Achievement Scientific Advisory Board member, Allen Institute for Artificial Intelligence (AI2) Biography Building an AI product that works in a controlled environment and scaling it to hundreds of millions of users are different engineering problems. Most organisations now committing to AI strategies have very few people in the room who have done the second – and fewer still who have done it multiple times, across different platforms, inside multiple large organisations. Adam Cheyer spent more than a decade at SRI International as Chief Architect of CALO/PAL – the US government’s largest AI research programme, funded by DARPA – before co-founding Siri, Inc. in 2007 with Dag Kittlaus and Tom Gruber. When Apple acquired the company in 2010, he stayed as Director of Engineering in the iPhone/iOS group, leading the AI and server-side development that put Siri on more than 500 million devices. He has repeated this cycle three more times. Viv Labs, which he co-founded and led as VP R&D, was acquired by Samsung in 2016 and became the technical foundation for Bixby. Sentient Technologies – an early large-scale distributed machine learning platform – was acquired by Cognizant. GamePlanner.AI was acquired by Airbnb in late 2023, where Cheyer served as VP AI Experience, applying generative AI to transform how users engage with the platform. He holds more than 50 patents and has authored more than 60 peer-reviewed publications in AI, machine learning, and conversational systems. He serves on the Scientific Advisory Board of the Allen Institute for Artificial Intelligence and received the 2024 Brandeis Alumni Achievement Award for contributions to technology entrepreneurship. Key speaking topics Conversational AI and intelligent personal assistants Generative AI and enterprise application AI product development and commercial scaling Technology entrepreneurship and venture building Human-computer interaction and intelligent interfaces Large-scale and distributed machine learning AI integration in consumer and enterprise platforms Ideal for Chief Technology Officers and product leadership teams navigating AI product strategy Innovation and R&D functions evaluating AI investment decisions Executive and board audiences assessing AI-enabled product development or acquisition C-suite leaders who need a practitioner’s account of where AI integration succeeds and where it fails Audience outcomes A practitioner’s account of how conversational and generative AI systems are designed, built, and scaled – distinct from analyst or vendor perspectives Understanding of the architectural and organisational decisions that determine whether AI products deliver at scale Direct insight into how Apple, Samsung, and Airbnb have each integrated acquired AI technology into their core platforms Lessons from founding, scaling, and exiting AI ventures across four separate acquisition cycles A grounded, evidence-based framework for assessing which AI capabilities are commercially transformational and which remain overstated

Why organisations work with Adrian Joseph He has run an AI and data function of roughly 1,600 people inside a FTSE 100 company, so his advice to boards reflects what it takes to deliver at that scale, not what a strategy deck suggests. He sits on the boards of Direct Line, Allwyn and Great Ormond Street Hospital, giving him a current view of how AI lands in insurance, gaming and healthcare rather than a single-sector perspective. As an Expert Member of the UK AI Council he contributed to the National AI Strategy, so he reads regulation and policy as someone who has been inside the room, not as an outside observer. He holds an OBE for services to equality and diversity in business and was named the UK’s most influential minority ethnic technology leader by the Financial Times and Inclusive Boards, which sharpens his credibility on the workforce side of AI transformation. His career path through Google, EY and BT gives audiences a rare triangulation: the hyperscaler view of what the technology can do, the consulting view of how to sell change internally, and the operator view of what actually breaks. Biography highlights Former Chief Data and AI Officer, BT Group, leading approximately 1,600 data and AI professionals. Former Senior Partner and Head of UK Data and Analytics for Financial Services at EY. Over ten years in senior leadership roles at Google across cloud, digital and data science. Non-Executive Director at Direct Line Insurance Group, Allwyn UK and Great Ormond Street Hospital NHS Foundation Trust. Expert Member of the UK Government’s AI Council and former Non-Executive Director at the Home Office. OBE for services to equality and diversity in business; named the UK’s most influential BAME technology leader by the Financial Times and Inclusive Boards. Biography Running an AI and data function of 1,600 people inside BT Group taught Adrian Joseph OBE what most board conversations about AI miss. The commercial case is not won in the model. It is won in the operating model, the talent pipeline and the patience of the leadership team to let value compound. That operator’s view is what he brings into the room. Before BT, he spent over a decade at Google in senior cloud, digital and data science roles, then led the UK Data and Analytics practice for Financial Services at EY as a Senior Partner. The path gives him three lenses on the same problem. Hyperscalers built the infrastructure. Consultancies sold the transformation story. Incumbents have to actually run the thing in production under regulatory scrutiny. He currently holds non-executive director roles at Direct Line Insurance Group, Allwyn UK, the National Lottery operator, and Great Ormond Street Hospital for Children NHS Foundation Trust, and sits on the Technology Advisory Board at NatWest Group. As an Expert Member of the UK Government’s AI Council he contributed to the National AI Strategy, and served as a Non-Executive Director at the Home Office from 2015 to 2020. He was awarded an OBE in the 2019 New Year’s Honours for services to equality and diversity in business, and the Financial Times and Inclusive Boards named him the UK’s most influential Black, Asian and ethnic minority technology leader. That recognition is not decoration on the CV. It sharpens his argument that the AI advantage large organisations seek is inseparable from who they let build and govern the systems. Key speaking topics Enterprise AI strategy and commercial return Responsible AI and governance Data and AI operating models at scale Digital and cloud transformation in regulated industries AI policy and the National AI Strategy Diversity and inclusion in technology leadership Board-level oversight of AI risk Ideal for CEOs, CFOs and boards under pressure to show commercial return from AI and data spend Chief Data Officers, CIOs and CTOs building or restructuring AI and data functions Financial services, insurance, healthcare and public sector leaders navigating AI in regulated environments CHROs and transformation leads addressing the talent and inclusion dimension of AI adoption Audience outcomes A sharper line between AI activity that produces commercial return and AI activity that produces slides A realistic view of what an AI and data operating model looks like at enterprise scale, from someone who ran one Current reading of UK AI policy and regulation from inside the AI Council and National AI Strategy work Practical signals for boards on where to probe AI risk, governance and delivery maturity Language for connecting AI capability to workforce, talent and inclusion strategy

Why organisations work with Alberto Levy Operator credibility on emerging tech: he is the co-founder and CEO of Poly Crypto Rewards and innovation advisor to the Royal Commission for AlUla, so the perspective comes from current decisions, not commentary. Teaches innovation and entrepreneurship inside the IE University International MBA, which gives executives the frameworks his book Start Here codifies for first-time founders and intrapreneurs. Track record across roughly 1,500 projects with 300+ clients in more than 15 countries, including Fortune 500 work spanning automotive, FMCG, media and technology. Recognised on the platforms senior buyers track: World Economic Forum, Harvard Business Review Summit, MIT EmTech, Singularity University, TEDx. A distinctive human-centred voice in a category dominated by hype: his keynotes connect AI, Web3 and design to leadership behaviour and culture, not just technology roadmaps. Biography highlights Adjunct Professor on the International MBA at IE University, Madrid, since 2018, and faculty member on innovation, design thinking and digital leadership programmes at Porto Business School, EGADE / Tec de Monterrey, IPADE, and Financial Times Headspring. Co-founder and CEO of Poly Crypto Rewards, a crypto rewards platform. Innovation and Technology Advisor to the Royal Commission for AlUla, Saudi Arabia, and board advisor at the Founder Institute. Author of Start Here: A Practical Guide to Entrepreneurship for First-Time Founders. Featured speaker at the World Economic Forum, MIT EmTech, Harvard Business Review Summit, TEDx, Singularity University, and Oracle Leaders Circle. Master’s in Interactive Telecommunications, New York University; Bachelor’s in Computer Engineering, Pontifical Catholic University of Rio de Janeiro; Aspen Institute alumnus and Forbes Business Council member. Biography The technology cycle has compressed. AI, Web3 and design tools that organisations were piloting two years ago are now embedded in their products, their go-to-market, and the daily work of their teams. Most leadership teams are still trying to convert that into durable operating advantage rather than another wave of pilots. Alberto Levy works in that gap. He has spent more than two decades inside roughly 1,500 projects across 15+ countries, advising Fortune 500 organisations in automotive, media, FMCG and technology, and has carried that experience into the classroom as an Adjunct Professor on the IE University International MBA, where he teaches innovation, design thinking and digital leadership. His operating profile gives the work weight. He is co-founder and CEO of Poly Crypto Rewards, an Innovation and Technology Advisor to the Royal Commission for AlUla in Saudi Arabia, and a board advisor at the Founder Institute. His book, Start Here: A Practical Guide to Entrepreneurship for First-Time Founders, distils the same playbook he uses with executive teams: spotting real problems, building businesses around them, and stress-testing them against modern tools, AI and digital business models included. Levy is described as an Innovation Evangelist by the Harvard Business Review Summit and the World Economic Forum, and has spoken at MIT EmTech, TEDx, Singularity University and Oracle Leaders Circle. The thread through all of it is a refusal to treat technology as the answer on its own. His argument to senior leaders is that AI, Web3 and design only become advantage when matched to a clear human problem the organisation has decided to solve. Key speaking topics Innovation as an operating discipline AI and human intelligence in the enterprise Web3, blockchain and the future of digital business Digital transformation with a human-centred lens Entrepreneurship and intrapreneurship at scale Creative leadership and culture Customer experience and experiential storytelling Ideal for Board and executive teams setting an AI, Web3 or digital strategy that has to outlast the current technology cycle Chief Innovation Officers, CTOs and transformation leads moving from pilots to operating model Corporate venture, intrapreneurship and founder-track programmes inside large organisations CMOs and customer experience leaders rebuilding around emerging technology Audience outcomes A clearer view of where AI and Web3 produce real operating advantage and where they do not A working model for translating innovation strategy into product, team and culture decisions Practical entrepreneurship tools drawn from Start Here, applicable to both founders and intrapreneurs A sharper sense of how to keep customers and employees at the centre of a technology agenda Confidence to make decisions on emerging technology without waiting for the next hype cycle

Why organisations work with Alec Ross He has advised both a US Secretary of State and a global venture capital firm on the same question: where power is moving as technology, capital and national interest collide. Boards get a single read across all three. The Industries of the Future sold into 24 languages and remains a reference text for executive teams framing long-range technology strategy. That gives him a shared vocabulary with global leadership audiences before he opens his mouth. The Raging 2020s offers a specific thesis, not a survey: the social contract between government, business and citizens is broken, and companies that misread the rebalancing will lose licence to operate. Leaders leave with a framework for where regulatory and political risk is actually heading. He built and sat inside the first serious technology policy function at the State Department, then moved to the investor side at Amplo. He speaks to both the regulator’s logic and the cap table’s logic, which most commentators cannot. Named to Foreign Policy’s Top 100 Global Thinkers and awarded the State Department’s Distinguished Honor Award. Credentials buyers can cite when justifying the booking internally. Biography highlights Senior Advisor for Innovation to US Secretary of State Hillary Clinton, 2009 to 2013, in a role created specifically to modernise the practice of diplomacy. Author of two New York Times bestsellers: The Industries of the Future (Simon and Schuster, 2016) and The Raging 2020s (Henry Holt, 2021). Distinguished Professor at the Business School of the University of Bologna; previously Distinguished Senior Fellow at Johns Hopkins University and Senior Fellow at Columbia SIPA. Board Partner at Amplo, a global venture capital firm, with director roles across technology, finance, manufacturing, human capital and cybersecurity companies. Co-founder of One Economy, a nonprofit that expanded broadband access for low-income households before broadband policy was a political issue. Named to Foreign Policy magazine’s Top 100 Global Thinkers and holder of the US Department of State Distinguished Honor Award. Biography The Senior Advisor for Innovation job at the State Department did not exist before 2009. It was built for Alec Ross, who spent four years travelling to forty-one countries turning emerging technology into an instrument of US foreign policy under Secretary of State Hillary Clinton. That mandate, sitting at the join between diplomacy, national security and the technology industry, is the lens he has brought to every role since. The Industries of the Future, published in 2016, mapped the sectors he believed would reorganise the global economy over the following decade: robotics, genomics, the commercialisation of data, the weaponisation of code. It sold into 24 languages and became a fixture on executive reading lists. The Raging 2020s, published in 2021, moved the argument on. The question is no longer which technologies win. The question is whether the contract between governments, companies and citizens holds, and what companies do when it does not. Ross now teaches at the University of Bologna Business School and sits as a Board Partner at the venture capital firm Amplo, with director seats across technology, finance, manufacturing and cybersecurity. He reads a regulatory brief the way a former diplomat does and a growth plan the way an investor does, and has held both jobs in earnest. What that produces for a leadership audience is judgement on questions that sit above the CTO and below the board: where the geopolitical weather is turning, which regulatory frames are about to land, which technology bets will still make sense when the politics catches up. Foreign Policy named him to its Top 100 Global Thinkers for a reason specific to this moment. Very few commentators have worked the diplomatic side, the commercial side and the academic side of the same argument. Key speaking topics Geopolitics of technology and the US to China contest The social contract between governments, companies and citizens Artificial intelligence, data and national competitiveness Cybersecurity as a board-level risk Regulation, antitrust and the future licence to operate Long-range industry disruption and capital allocation Innovation policy and the future of work Ideal for Boards and executive committees setting multi-year technology and geopolitical strategy CEOs, CSOs and heads of government affairs briefing for regulatory inflection points Financial services, technology and industrial leadership teams exposed to US, EU and China policy divergence Conferences convening CEOs, policymakers and investors on the intersection of technology and state power Audience outcomes A sharper read on where regulation, capital and public sentiment are pushing the next decade of technology strategy. A working framework for pricing political and geopolitical risk inside commercial decisions. Named examples of how governments, companies and citizens are renegotiating the social contract, and the implications for licence to operate. A clearer view of which technology sectors are concentrating power, and where corporate strategy has to adjust. An investor and policymaker’s dual perspective on the same question, translated for operators.

Why organisations work with Alessandro Lanteri The CLEVER Framework and the Innovation Pyramid are named, peer-reviewed tools – not proprietary consulting models – giving leadership teams a shared analytical language for strategy in technology-disrupted markets that can be used well beyond the event itself. His PhD in Philosophy and Economics from Erasmus University Rotterdam brings disciplinary rigour to AI ethics and strategic decision-making that management-trained advisors rarely provide; his arguments sit at the intersection of decision theory, ethics, and competitive strategy – a combination that is demonstrably scarce in this speaker category. Two commercially published books – CLEVER (Amazon #1 bestseller in Italy and the UK) and Innovating with Impact (The Economist Books, 2023) – confirm that his frameworks have been validated by mainstream leadership audiences, not just academic peer reviewers. Teaching engagements at Saïd Business School (Oxford), London Business School, and ESCP mean his content has been stress-tested against senior executive cohorts in multiple institutional contexts before it reaches the conference stage. His TEDx talk “Why Driverless Cars Need Philosophers” – over 200,000 views – demonstrates an ability to make the ethics and competitive logic of emerging technology land with audiences who are not technical specialists, which is precisely the audience most organisations need to bring along. Biography highlights Full Professor of Strategy and Innovation, ESCP Business School (Turin campus) Author of the CLEVER Framework (CLEVER: The Six Strategic Drivers for the Fourth Industrial Revolution, Amazon #1 bestseller in Italy and the UK) and the Innovation Pyramid (Innovating with Impact, The Economist Books, 2023, with Ted Ladd) Contributing writer to Harvard Business Review, MIT Technology Review, World Economic Forum Agenda, and Forbes TEDx speaker – “Why Driverless Cars Need Philosophers” (TEDxHultAshridge), over 200,000 views Executive education faculty, Saïd Business School (University of Oxford) and London Business School PhD in Philosophy and Economics, Erasmus University Rotterdam; MSc in Economics, Bocconi University Biography The gap between technology adoption and competitive strategy is one of the most consistent failure points in corporate innovation – organisations make significant investments in AI, digital platforms, and emerging technologies without the strategic architecture to turn those investments into competitive position. Alessandro Lanteri’s body of work is a direct response to that problem. Lanteri is Full Professor of Strategy and Innovation at ESCP Business School, where his research and teaching focus on how organisations compete in environments shaped by technological disruption. He also contributes to executive education at Saïd Business School (University of Oxford) and London Business School. His PhD in Philosophy and Economics from Erasmus University Rotterdam gives his strategic frameworks an analytical foundation that is uncommon in management education – his thinking on AI ethics, decision-making under uncertainty, and competitive logic draws on disciplines that sit well outside the standard strategy canon. His two books give organisations structured tools for navigating this terrain. CLEVER: The Six Strategic Drivers for the Fourth Industrial Revolution, an Amazon #1 bestseller in Italy and the UK, identifies the deep forces reshaping competitive advantage in technology-driven markets and provides a diagnostic framework for leadership response. Innovating with Impact – co-authored with Ted Ladd and published in the Economist Edge series – introduces the Innovation Pyramid, a model that sequences the cultural foundations, methods, and strategic themes organisations need to move from isolated innovation experiments to systematic, measurable impact. His practitioner writing appears in Harvard Business Review, MIT Technology Review, the World Economic Forum Agenda, and Forbes. A TEDx talk on the ethics and strategic implications of autonomous AI decision-making has been viewed over 200,000 times – evidence of an unusual capacity to make complex arguments about technology and strategy accessible to the leadership audiences that most need to hear them. Key speaking topics Innovation strategy and competitive advantage The CLEVER Framework and the Fourth Industrial Revolution Artificial intelligence and business strategy The Innovation Pyramid: from innovation experiments to strategic impact Digital transformation and emerging technologies AI ethics and responsible technology adoption in organisations Strategic foresight and scenario planning in uncertain markets Ideal for Strategy directors and C-suite leaders defining competitive positioning in technology-disrupted markets Corporate innovation and digital transformation leads Executive education cohorts at business schools and senior leadership development programmes Boards reviewing innovation governance and technology investment strategy Audience outcomes A named, structured framework (CLEVER) for diagnosing how AI, digital platforms, and emerging technologies affect their specific competitive environment A step-by-step model (the Innovation Pyramid) for building the organisational cultures, processes, and strategic themes needed for consistent, high-impact innovation Clarity on which technology investments are likely to yield strategic advantage – and the diagnostic tools to distinguish those from investments that produce activity without impact A framework for approaching AI and digital transformation through a competitive strategy lens, rather than a purely technical one Practical methods for aligning innovation activity with long-term strategic positioning

Why organisations work with Alex Connock He runs the AI for Executives module on the Oxford Executive MBA and co-directs Oxford’s postgraduate course in Artificial Intelligence for Business, so the content has been pressure-tested with senior leaders before it reaches a corporate audience. He spent two decades running media businesses at scale, including thirteen years as co-founder and CEO of Ten Alps with Bob Geldof and five as Managing Director of Endemol Shine North, which means his framing of AI is grounded in production economics, not vendor narrative. His Routledge textbook on media business models in the AI age is a teaching reference at multiple business schools and has been translated into Korean and Turkish, giving him a coherent published argument rather than a deck of demos. He moves credibly between a board conversation about AI strategy and a creative team session on generative tools, which is rare in a topic dominated by either technologists or policy commentators. Biography highlights Senior Fellow, Saïd Business School, University of Oxford; co-director of Oxford’s postgraduate course in Artificial Intelligence for Business. Professor of Media and Artificial Intelligence, University of Exeter. Head of Department, Creative Business, National Film and Television School. Author of three Routledge titles, including “Media Management and Artificial Intelligence” (2022), “Media Management and Live Experience” (2024), and “Entrepreneurship in Media and Entertainment” (2025). Co-founder and former CEO of Ten Alps (now Zinc Media) with Bob Geldof; former Managing Director of Endemol Shine North. Education: PPE (Oxford), Journalism (Columbia), MBA (INSEAD), PhD in video optimisation for e-commerce. Biography Generative AI has reordered the cost base of every business that produces content, software, or marketing, and the question for leadership teams is no longer whether to engage but where the operating model actually changes. That question is harder to answer well than the public debate suggests. It needs someone who has run a production company through a previous wave of digital disruption, and who teaches the underlying technology to senior executives now. That is the position Alex Connock occupies. At Saïd Business School in Oxford he co-directs the postgraduate course in Artificial Intelligence for Business and runs the AI for Executives module on the Executive MBA. He holds a Professorship in Media and Artificial Intelligence at the University of Exeter and leads the Creative Business department at the National Film and Television School. Before the academic work he spent two decades as an operator. He co-founded Ten Alps with Bob Geldof in 1998 and ran it as chief executive for thirteen years, producing programming for UK and international broadcasters and the UK government’s Teachers TV. He then ran Endemol Shine North as Managing Director through a period of substantial growth. His three Routledge titles, including the 2022 textbook “Media Management and Artificial Intelligence” with Korean and Turkish translations, give the talks a published spine. The result is a speaker who can take a board conversation from generative AI as topic to specific decisions about content, channel, and capital, with a vocabulary that holds up in front of both the strategy team and the creative team. Key speaking topics Generative AI and the media business AI for executives and the corporate operating model AI applied to marketing and brand The economics of synthetic content and creator platforms AI, national strategy and creative industries policy Entrepreneurship and growth in media and entertainment Ideal for Boards and executive committees commissioning an AI strategy session that goes beyond capability demos. CMOs, CSOs, and content leaders in media, entertainment, publishing, advertising, and marketing. Executive education and senior leadership programmes inside large corporates. Industry conferences in media, technology, and creative industries seeking a credentialed academic voice with operator history. Audience outcomes A clear read on where generative AI changes the unit economics of content, marketing, and customer-facing operations. A structured view of the AI tooling landscape, anchored to specific business decisions rather than vendor categories. Reference points from media businesses already running AI in production, including platforms, broadcasters, and creator economies. A working vocabulary for the boardroom conversation on AI strategy that holds up with both technical and commercial colleagues.

Why organisations work with Alex Goryachev He ran the function he now talks about. Cisco’s global innovation strategy, AI programme launch and innovation centres on five continents were built under his direction. He gives boards and executive teams a working playbook for moving AI past the pilot stage, drawn from Fearless Innovation and codified into the global ISO Standards on Innovation he helped shape. He addresses workforce resistance to AI directly, naming the cultural and behavioural blockers that stall enterprise AI programmes, rather than focusing only on the technology layer. He bridges enterprise practice and the next generation of leaders through his Executive-in-Residence role at Tulane’s Center for Entrepreneurship and Innovation, which keeps his frameworks tested against current operating reality. Biography highlights Wall Street Journal bestselling author of Fearless Innovation (Wiley, 2020). Former Managing Director and Global Head of Innovation Strategy, Cisco. Established Cisco’s Global Innovation Centers across five continents and led the launch of its AI innovation programme. Executive-in-Residence, Tulane University Center for Entrepreneurship and Innovation. Contributor to global ISO Standards on Innovation. Frequent contributor to Forbes, Fast Company, Entrepreneur and CEOWORLD; LinkedIn Top AI Voice. Earlier leadership roles at IBM, Dell and Pfizer. Biography Most enterprise AI programmes do not fail at the model. They fail at the handover, at the moment a promising pilot has to become a working capability inside a large operating company. That is the territory Goryachev spent two decades in. As Managing Director and Global Head of Innovation Strategy at Cisco, he established the company’s Global Innovation Centers across five continents and led the launch of its AI innovation programme. Earlier leadership work at IBM, Dell and Pfizer gave him an unusually broad view of how innovation actually moves through large, regulated organisations. That operating experience became the basis of Fearless Innovation (Wiley, 2020), a Wall Street Journal bestseller that lays out a practical discipline for converting innovation rhetoric into measurable results. The book sits alongside his contribution to the global ISO Standards on Innovation, where he helped codify the principles for how organisations build innovation capability at scale. He continues that work today as an Executive-in-Residence at Tulane University’s Center for Entrepreneurship and Innovation, and as a regular contributor to Forbes, Fast Company, Entrepreneur and CEOWORLD on the question that now dominates board agendas: how to move from AI as a slide-deck strategy to AI as an operating advantage. Key speaking topics Enterprise AI strategy and operational deployment Innovation as a managed discipline AI literacy and workforce readiness Digital transformation in large enterprises Leadership in an AI-first operating model Culture change and innovation behaviour Ideal for Boards and CEOs setting an AI agenda beyond proof-of-concept Chief Innovation, Strategy and Transformation Officers responsible for translating AI ambition into operating results CHROs and learning leaders rebuilding workforce capability for an AI-first business Executive teams in Fortune 500s, scale-ups and government bodies stalled at the pilot stage of AI Audience outcomes A clear view of the difference between AI experimentation and AI as an operating capability, with named markers of each. Specific patterns from inside Cisco’s innovation programme that audiences can map onto their own organisations. A direct read on where workforce resistance to AI typically appears, and what leaders can do about it. A working sense of what Fearless Innovation prescribes as the discipline behind sustained innovation results.

Why organisations work with Alex Wood First-hand operator knowledge of social engineering, impersonation and mule-account networks, drawn from years inside the work rather than modelled from the outside. Active advisor to the Home Office, the Foreign, Commonwealth and Development Office, the Cabinet Office, the Financial Conduct Authority and UK police forces, so the material reflects current regulatory and policing priorities. Consults for Tier 1 banks including NatWest and risk firms including Experian on the fraud mindset and social engineering, giving risk, compliance and customer-protection teams a structured view of how scams are designed. Co-presenter of BBC Radio 4’s Scam Secrets with Shari Vahl and Dr Elisabeth Carter, a weekly national broadcast that keeps his case base current rather than historical. Biography highlights Co-presenter, BBC Radio 4 Scam Secrets, alongside journalist Shari Vahl and criminologist Dr Elisabeth Carter Advises the Home Office, the Foreign, Commonwealth and Development Office, the Cabinet Office, the Financial Conduct Authority and UK police forces on fraud mindset and social engineering Consults for Tier 1 banks including NatWest and risk firms including Experian Author of the forthcoming memoir Facing the Music: From Her Majesty’s Palaces to Her Majesty’s Prisons, represented by Andrew Lownie Literary Agency Trained classical violinist, Purcell School, Royal Academy of Music and Royal College of Music; early performances at the Royal Festival Hall, Royal Opera House and Wigmore Hall Named speaker at Counter Fraud 2023 and UK Cyber Week 2024 Biography Most fraud controls assume the attacker is a technical problem. The last decade of evidence says the attacker is a psychologist with a laptop. What banks, insurers and regulators rarely get in the room is the working logic of the person on the other side of the transaction, and that is what Alex Wood brings. Wood trained as a concert violinist at the Purcell School, Royal Academy of Music and Royal College of Music, and performed at the Royal Festival Hall, Royal Opera House and Wigmore Hall. A repetitive strain injury ended the career in his early twenties. What followed was a decade of fraud, including a 2015 conviction for impersonating the Duke of Marlborough across London hotels and a later sentence tied to banking fraud. He was released from prison in 2022. Since then he has become a working advisor to the Home Office, the Foreign, Commonwealth and Development Office, the Cabinet Office, the Financial Conduct Authority, UK police forces and Tier 1 banks including NatWest. His focus is the mule-account economy and the social engineering playbooks that defeat otherwise strong controls. He co-presents the BBC Radio 4 series Scam Secrets with Shari Vahl and Dr Elisabeth Carter, dissecting live cases with forensic detail. His memoir, Facing the Music: From Her Majesty’s Palaces to Her Majesty’s Prisons, is represented by Andrew Lownie Literary Agency, and a documentary on his story is in production with Mindhouse Productions, the company founded by Louis Theroux. For a risk committee briefing, what Wood delivers is specific: how a criminal chooses a target, how a customer is moved into a mule role, and where in a bank’s own process the decisive second of hesitation was lost. Key speaking topics The fraud mindset and how sophisticated scams are designed Social engineering and impersonation at scale Mule accounts and the retail-banking fraud perimeter AI-enabled fraud and the near-term threat surface Informal value-transfer systems and underworld banking (Hawala, Daigou) Counter-fraud culture inside large financial institutions Ideal for Heads of financial crime, fraud and compliance at banks, insurers and law firms Risk and customer-protection teams rebuilding fraud prevention programmes Internal audit, AML and onboarding functions facing mule-account and impersonation pressure Counter-fraud conferences, regulator-facing events and financial services leadership summits Audience outcomes A working view of how fraud is designed from the offender side, not the detection side Specific frames for spotting social-engineering and impersonation pressure earlier in the transaction path A read on where AI-enabled fraud and underworld banking are pushing the near-term threat surface A speaker whose BBC Radio 4 co-presenter role keeps the material current with national-level fraud reporting

Why organisations work with Ali Rebaie He reads AI adoption through anthropology and phenomenology, which exposes cultural and behavioural risks that pure technical assessments miss. He founded Rebaie Analytics Group in his early twenties and has since advised Fortune 500 clients across sectors on AI strategy, giving him pattern recognition across industries that a single-sector advisor cannot offer. Through Kiangle.ai he has built METIS, a generative AI scenario-planning platform, so his advice to boards comes from someone actively shipping the technology, not only commenting on it. He speaks to the human sciences side of AI, covering machine consciousness, decision intelligence, and the effects on children and future generations, which lets him hold a boardroom conversation that moves past tooling into governance and values. His analyst background, including a seat on the Boulder BI Brain Trust advisory board, gives him access to the vendor landscape most executives only see through sales decks. Biography highlights Founder and President, Rebaie Analytics Group, an AI and human sciences strategy and research firm with Fortune 500 clients. Founder of Kiangle.ai, Portugal-based, building METIS for generative AI scenario planning. Keynote speaker at MWC Barcelona and Hannover Messe. Advisory Board member, Boulder BI Brain Trust (BBBT). Developed an AI and Machine Learning for Engineering course hosted via UC Berkeley Global. Listed among the top 100 AI influencers globally (self-reported). Biography Enterprise AI projects fail more often on culture than on code. A model ships, a workflow changes, and the people working inside it start making decisions differently, often without anyone noticing until the results move. That is the territory Ali Rebaie works in. He runs Rebaie Analytics Group, the AI and human sciences strategy firm he founded in his early twenties, which now advises Fortune 500 clients on how to adopt AI without losing the judgement and cultural fabric that made them worth automating in the first place. His method treats AI rollout as an anthropological event, something that reshapes how a team thinks, decides, and relates, not only what it produces. The analytical background is substantive. He sits on the advisory board of the Boulder BI Brain Trust, the long-running industry analyst consortium, and developed an AI and Machine Learning for Engineering course hosted via UC Berkeley Global. That gives him a working view of the vendor landscape most executives only see through procurement cycles. The most recent work is operational. Through Kiangle.ai, his Portugal-based venture, he is building METIS, a generative AI scenario-planning platform that combines mathematical simulation with insights from human sciences to stress-test strategic decisions under uncertainty. Boards get an advisor whose views on AI governance are informed by the pressures of actually building one of these systems. Key speaking topics AI strategy and adoption Scenario planning and strategic foresight Decision intelligence Generative AI and enterprise risk Human sciences and AI Future of work and future skills AI governance and responsible technology Ideal for CIOs, CDOs, and CTOs scoping enterprise AI adoption beyond proof-of-concept. Boards and executive committees setting AI governance and risk posture. Strategy and transformation leads running scenario planning on AI-driven market shifts. Industry conferences on AI, data, and the future of technology. Audience outcomes A clearer read on how AI adoption changes behaviour and decision-making inside teams, not only workflows. A working vocabulary for AI scenario planning under genuine uncertainty. Sharper questions for vendors, framed by an analyst who has seen how the market actually sells. A considered position on AI governance that accounts for cultural and human consequences alongside technical ones.