Inteligência Artificial e IA Generativa

Why organisations work with Miguel Luengo-Oroz He held the inaugural Chief Data Scientist role at the United Nations for six years, applying AI to conflict prevention, refugee response, epidemics and human rights. That is a vantage point no consultant or academic alone can replicate. He runs Spotlab, an operating AI company in clinical diagnostics. His commentary on AI risk is grounded in shipping production systems, not theoretical governance. He has published more than 100 articles in venues including Nature and MIT Technology Review, and has briefed governments in Europe and the United States, including the Global Partnership on AI. He invented MalariaSpot, a crowdsourced game that turned thousands of citizens into diagnostic contributors. He is fluent in both AI ethics doctrine and what it looks like when humans and AI actually share work. Biography highlights First Chief Data Scientist of the United Nations, UN Global Pulse, Executive Office of the Secretary-General, 2016 to 2022. Founder and CEO of Spotlab, an AI platform for clinical research and universal diagnosis. Professor at Universidad Politécnica de Madrid; PhD (special prize) from the same institution; additional MSc from EHESS and École Normale Supérieure, Paris. Obama Foundation Leader (Europe 2023), Ashoka Fellow, MIT Technology Review TR35, Fellow of the Royal Society of Arts, EU Responsible Research and Innovation Award. More than 100 scientific articles, policy briefs and op-eds; featured in Nature, MIT Technology Review, The Guardian and The New York Times. Inventor of MalariaSpot.org, a crowdsourcing video game for malaria diagnosis. Biography The United Nations created its first Chief Data Scientist post in 2016, and Miguel Luengo-Oroz held it for six years. The brief was to put AI and data science to work on problems that do not forgive errors: epidemic response, refugee movements, hate speech detection, conflict prevention, climate. That experience shaped a working philosophy that responsible AI is not a values statement, it is an operating discipline. Today he runs Spotlab, an AI platform for clinical research and diagnostics, built around smartphones, AI models and 3D printing to bring quality diagnostics to diseases largely absent from the digital health economy. He is also a professor at Universidad Politécnica de Madrid, where his research spans generative AI, collective intelligence and systems biology. His commentary draws on more than 100 publications across Nature, MIT Technology Review, The Guardian and The New York Times, and on advisory work with governments in Europe and the United States and the Global Partnership on AI. Recognitions include the Obama Foundation Leaders programme, an Ashoka fellowship, MIT TR35, the EU Responsible Research and Innovation Award, and a fellowship of the Royal Society of Arts. For senior leaders, the value is the combination: someone who has set AI policy inside the most scrutinised public institution in the world, and who currently ships AI products into regulated medical environments. He speaks about AI risk and opportunity with the specifics of someone doing the work. Key speaking topics Responsible and ethical AI AI governance and public-interest technology AI in healthcare and diagnostics AI for sustainable development and humanitarian response Generative AI: applications, risks and limits The future of AI policy and regulation Data science inside multilateral institutions Ideal for Boards and executive committees setting AI governance and risk posture CTOs, Chief Data Officers and Chief AI Officers operationalising responsible AI Healthcare, life sciences and pharma leaders deploying clinical AI Public sector, multilateral and NGO leadership teams using AI in policy and operations Audience outcomes A clear view of where AI risk actually sits in deployment, beyond policy statements Specific examples of AI applied to high-stakes problems inside the UN and in clinical settings A working framework for distinguishing responsible AI as discipline from responsible AI as branding Sharper questions to put to internal AI programmes, vendors and regulators Realistic perspective on what generative AI changes for organisations over the next two to three years

Why organisations work with Mike Evans He gives an audience a defence plan for AI disruption, not a forecast. The 7-Sided Pincer Movement maps the forces reshaping work, and the 5-Ingredient Kryptonite Defence sets out the capabilities that keep people and teams hard to replace. He has worked these forces since the 1990s, inside Kotter International, FranklinCovey, and Tom Peters Company, which puts three decades of change practice behind a topic most speakers picked up after 2023. He built and tested the frameworks inside 34 of the Fortune 50, with named results such as shorter decision cycles at Intel and a rebuilt pilot training pipeline at the US Army Aviation Center. He builds each keynote backward from a structured discovery call with the client, so the room gets its own challenges addressed rather than a stock talk. His Kryptonite Scorecard, a 30-behaviour diagnostic, and the distributed ownership thesis in Achieve with Accountability give a leadership team a way to keep working the plan after the session. Biography highlights Author of two books: Distinct or Extinct: Future-Proofing People and Organizations in the Age of AI (Pincer Press, 2026) and Achieve with Accountability (Wiley). Founder of Pincer Press; works full-time as a keynote speaker and author. Former senior consultant at Kotter International, FranklinCovey, and Tom Peters Company, working alongside John Kotter, Stephen Covey, and Tom Peters. Clients include 34 of the Fortune 50, among them Intel, Apple, PepsiCo, Caterpillar, Cargill, Capital One, and Pfizer. Developer of the 7-Sided Pincer Movement and the 5-Ingredient Kryptonite Defence, with the Kryptonite Scorecard diagnostic. Biography Seven forces are reshaping how organisations work at the same time: software, robotics, globalisation, outsourcing, digital transformation, disruptive competition, and AI as the accelerant that multiplies the rest. Most organisations defend one flank while the other six go unguarded. Mike Evans has worked these forces since the 1990s, well before AI made them urgent. He built his frameworks inside Kotter International, FranklinCovey, and Tom Peters Company. He worked directly with John Kotter on change acceleration, with Stephen Covey on personal effectiveness, and with Tom Peters on operational excellence. His 2026 book, Distinct or Extinct, turns that history into a method. It argues that people and organisations survive disruption by becoming hard to replace, through five capabilities: ideas, speed, talent, distinction, and leadership at all levels. Evans founded Pincer Press to publish it, choosing speed to market over a traditional deal so it reached leaders inside the 2026 disruption window. The frameworks were tested inside 34 of the Fortune 50, including Intel, Apple, PepsiCo, and the US Army Aviation Center. His Wiley book, Achieve with Accountability, supplies the execution layer beneath them, the distributed ownership that lets a workforce act on a plan rather than receive one. At Intel the work shortened decision cycles; at the US Army Aviation Center it rebuilt a pilot training pipeline under a constrained budget. Key speaking topics AI disruption and the future of work Future-proofing people and organisations The 7-Sided Pincer Movement and converging disruptive forces Distributed accountability and execution discipline Change leadership under permanent disruption Personal and organisational distinctiveness Resilience under repeated disruption Ideal for Boards and executive teams deciding how AI changes their workforce and operating model Chief People Officers and Chief Transformation Officers redesigning roles and accountability for an AI-shaped workforce Leadership conferences, annual meetings, and sales kickoffs in sectors under pressure from AI, such as financial services, healthcare, manufacturing, pharma, and technology Associations running “future of the industry” programmes where members are anxious about staying relevant Audience outcomes A map of the seven forces hitting their organisation at once, and which ones they are currently leaving unguarded The five capabilities that keep people and teams hard to replace as AI absorbs routine work A working model for distributing accountability so a workforce can act on the plan rather than receive it Specific changes leaders can put in motion within the week, beyond general AI awareness Shared language senior teams can use after the session to hold momentum

Why organisations work with Mike Saunders His HumanCentric framework forces transformation teams to test technology decisions against the people who will or will not adopt them, which changes how budgets get allocated. He runs the agency he speaks from. Digitlab has delivered digital work for Vodafone, IBM, Toyota, KPMG and Bidvest, so the room hears practice from a live operator. He brings an emerging-market lens that most digital strategy speakers do not carry, drawn from running an agency in South Africa with delivery into the UK, Europe, US, Australia and Dubai. His Gear Analogy, developed for his TEDx Durban talk, gives leadership teams a working method for picking which ideas deserve real investment and which to drop. He pairs published frameworks with original sector research, including Digitlab’s annual Insight: State of Digital report on where customer behaviour, AI and martech are moving. Biography highlights CEO and Founder of Digitlab, a digital strategy agency with clients spanning South Africa, the UK, Europe, the US, Australia and Dubai. Author of HumanCentric: Technology Fails Unless It Means Something to Someone, which sets out a four-part model (explore, ideate, intersect, create) for human-centred digital transformation. TEDx Durban speaker on Gearing for Greatness: Your Ideas, Your Impact, introducing the Gear Analogy for idea evaluation and execution. Opening chapter author in Doers & Dreamers, a global business compendium also featuring Seth Godin, Tim Ferriss and Brian Chesky. Founder of the Digitlab Academy in partnership with Vega School of Branding, training over 1,000 marketers a year. Awarded Special Honours at the New Generation Awards for contribution to the digital industry; named among “Top Global Digital Marketing Experts & Influencers” (2019). Biography Most digital transformation programmes still get sold to boards as technology projects. The investment lands and the adoption that was supposed to follow does not. The gap is where commercial returns disappear. This is the gap that Saunders has spent more than fifteen years working in. As CEO of Digitlab, the South African agency he founded, he has run digital programmes for Vodafone, IBM, Toyota, KPMG and Bidvest. He argues that technology fails unless it means something to someone, and that digital is a people conversation that happens to run on technology. His book HumanCentric: Technology Fails Unless It Means Something to Someone sets out the four-part model he uses with clients: explore, ideate, intersect, create. Each phase forces a transformation team to test technology decisions against the human stakeholders who will or will not adopt them. It functions as a working framework, and it shows up in his keynote work as practical structure for leadership audiences. His TEDx Durban talk Gearing for Greatness introduced the Gear Analogy, a tool for evaluating which ideas to back and which to drop. He contributed the opening chapter of Doers & Dreamers, the global business book that also features Seth Godin, Tim Ferriss and Brian Chesky. Each year, Digitlab publishes its Insight: State of Digital report mapping where customer behaviour, AI, search and martech are actually moving. Key speaking topics Human-centred digital transformation Customer experience and digital strategy AI and data-driven marketing Marketing technology and innovation Digital consumer behaviour The Fourth Industrial Revolution in business Ideal for CMOs and digital marketing leaders running transformation or martech programmes CEOs and CDOs are accountable for digital strategy and adoption outcomes Boards and executive teams setting commercial AI and data direction Marketing, sales and IT leadership teams are trying to align around shared revenue outcomes Audience outcomes A working framework for testing digital decisions against the real people who will or will not adopt them A method for separating ideas worth backing from ideas worth abandoning, drawn from the Gear Analogy Specific signals on what is shifting in customer behaviour, AI, search and martech, drawn from Digitlab’s annual State of Digital research A view of how marketing, sales and IT teams should align around a single revenue model

Why organisations work with Mike Walsh He works on the leadership and operating-model question that AI keynotes usually skip: who decides, with what data, supported by which machine systems, and what that means for org design. His thesis is published, not improvised. The Algorithmic Leader (Page Two, 2019) sets out ten principles for leading in the algorithmic age and has been translated into Chinese, Japanese, Korean, German, Polish and Russian. His next book, Abundant Intelligence, is being published by Harvard Business Review Press with Deloitte’s Global Head of AI Nitin Mittal, giving boards a current reference point on hybrid human and machine workforces. He brings in-the-room exposure to Fortune 500 reinvention programmes through Tomorrow, with named advisory work across the BBC, HSBC, Philips, Fujifilm, Richemont and Televisa. He writes for the audience he speaks to. As a regular Harvard Business Review columnist, his arguments are pressure-tested with the same readers buying him. Biography highlights CEO of Tomorrow, a global consultancy on designing companies for the 21st century. Author of The Algorithmic Leader (Page Two, 2019), translated into six languages. Forthcoming book Abundant Intelligence with Harvard Business Review Press, co-authored with Deloitte’s Global Head of AI, Nitin Mittal. Regular Harvard Business Review columnist; bylines in Inc., BusinessWeek, Forbes and the Wall Street Journal. Host of the Between Worlds podcast and the YouTube series The Future is Elsewhere. Founder of Jupiter Research in Asia Pacific and former senior strategy executive at News Corporation in the region. Biography Boards now buy AI tools faster than they redesign the organisations using them. The Algorithmic Leader, published by Page Two in 2019, was an early attempt to put that mismatch into a framework senior leaders could use, with ten principles for working in an environment where machine systems share the decision load. The book has since been translated into Chinese, Japanese, Korean, German, Polish and Russian. The work sits inside a longer career arc. Tomorrow, the consultancy Walsh founded in Hong Kong, advises CEOs and executive teams of multinationals including the BBC, HSBC, Philips, Fujifilm, Richemont and Televisa on reinvention in the algorithmic age. Earlier roles include founding Jupiter Research in Asia Pacific, an early tracker of e-commerce and digital business adoption, and senior strategy positions at News Corporation in the region. Publishing has been the spine of the practice. Futuretainment, published by Phaidon in 2009, won an Art Directors Club design award in New York. The Dictionary of Dangerous Ideas followed in 2014. As a regular Harvard Business Review columnist, with bylines in Inc., BusinessWeek, Forbes and the Wall Street Journal, Walsh writes for the same audience he advises and speaks to. The forthcoming work is where the operating-model question gets sharper. Abundant Intelligence, due from Harvard Business Review Press, is co-authored with Nitin Mittal, Deloitte’s Global Head of AI, and examines how organisations orchestrate hybrid human-and-machine workforces. The thread across the books, the consultancy and the keynotes is consistent: the leadership question, not the technology question, is the one boards keep underestimating. Key speaking topics Algorithmic leadership and decision-making AI agents and digital labour Designing organisations for the 21st century Disruptive innovation and new business models Digital ethics in machine-led decisions The future of work in an AI-driven economy Strategic foresight for senior leaders Ideal for Boards and executive committees setting AI strategy beyond pilots CEOs, COOs and Chief Strategy Officers redesigning operating models Chief AI Officers, Chief Digital Officers and transformation leads Leadership and learning programmes preparing senior cohorts for AI-era decision-making Audience outcomes A clearer language for the leadership question inside AI investment, not just the technology question A framework, drawn from The Algorithmic Leader, for ten shifts in how senior teams decide and operate Named cases of how multinationals are restructuring around hybrid human-and-machine work A sharper view of which executive habits, hiring patterns and decision rights age badly in an AI-driven business A working definition of digital labour and what it changes for org design, talent and accountability

Why organisations work with Miloš Maričić He gives investment boards a working diagnostic for distinguishing real machine learning from AI marketing, anchored in his SPEC framework and his CFA Institute Enterprising Investor work on weak quant models. He chairs Executive AI, the network of CEOs of major European institutional investment organisations, and represented that industry in the EU Artificial Intelligence Act standardisation process. Few speakers can describe AI regulation from inside the room where the rules were written. He has co-edited the Routledge Handbook of Artificial Intelligence and Philanthropy with the University of Geneva, the standard reference for AI in the social sector. That gives foundations and philanthropic boards a credible voice on the same subject. He has built and exited two AI companies and ranks in the top five per cent of the Numerai global leaderboard for market prediction models, so the technical claim is matched by personal track record. He is an OECD AI Expert and a World Economic Forum contributor, which means his framing is already calibrated for senior policy and regulatory audiences. Biography highlights Founder of the Altruist League, Geneva, a philanthropy consultancy whose network reports AUM above USD 10 billion. Chair of Executive AI, a network of CEOs of major European institutional investment organisations. AI Expert at the OECD and contributor at the World Economic Forum. Co-editor, The Routledge Handbook of Artificial Intelligence and Philanthropy, Routledge, 2024. Co-author, Fixing Philanthropy: Six Principles for Actually Improving the World When Giving Away Money, 2021. Educated at the London School of Economics, New York University and Harvard Business School. Biography Most institutional investors now have AI somewhere in their portfolio, their managers, or their operations. Very few have a working method for telling genuine machine learning from a factor model dressed up for a board meeting. That is the gap Maričić has spent his career filling, first inside his own AI ventures, now as Chair of Executive AI, the network of CEOs of major European institutional investment organisations. His SPEC framework, developed for capital allocators and published through CFA Institute’s Enterprising Investor, gives investment committees a short diagnostic for evaluating quantitative managers who claim AI capability. It is the kind of practical tool a CIO can take into a manager meeting on Monday morning. He represented the institutional investor industry in the EU Artificial Intelligence Act standardisation process, and serves as an AI Expert at the OECD and a contributor at the World Economic Forum. Maričić founded the Altruist League, a Geneva-based philanthropy consultancy that pioneered the use of AI in sourcing investments, distributing funds and managing portfolios, and whose network now reports AUM above USD 10 billion. With Giuseppe Ugazio at the University of Geneva, he co-edited The Routledge Handbook of Artificial Intelligence and Philanthropy, the 2024 reference work for foundations and social sector boards thinking about AI governance. He is educated at the London School of Economics, NYU and Harvard Business School, ranks in the top five per cent of the Numerai global leaderboard for market prediction models, and writes The Specification, a newsletter that translates frontier AI research into practical tools for institutional allocators. Key speaking topics AI governance for investment boards and fiduciary committees Due diligence on machine learning in quantitative investment strategies AI regulation, the EU AI Act and institutional capital allocation AI in philanthropy and the social sector Causal inference and the limits of factor investing Geopolitics of AI for sovereign wealth funds and central banks Trust-based giving and systemic-change philanthropy Ideal for Chief Investment Officers, investment committees and manager-selection teams at pension funds, sovereign wealth funds, central banks and endowments Boards of foundations and philanthropic organisations setting AI strategy and governance Risk, audit and fiduciary committees taking responsibility for AI-driven strategies they did not build Senior policy and regulatory audiences working on AI in financial services Audience outcomes A clear diagnostic for distinguishing real machine learning from AI marketing inside quantitative managers Specific questions a board or investment committee can put to managers and internal teams about AI claims A current read on the EU AI Act and what it means for institutional allocators in practice A grounded view of where AI is genuinely changing philanthropy and where it is hype A working vocabulary for fiduciary AI oversight that does not require a technical background

Why organisations work with Mira Murati She led the teams that built ChatGPT, DALL-E and Sora at OpenAI. Few speakers can describe frontier AI development from the operational seat; most describe it from the outside. She is the active founder and CEO of Thinking Machines Lab, currently raising capital, hiring researchers, building infrastructure and shipping product against the same labs leaders read about in the news. The view she offers is current. She has spoken publicly on AI governance from the position of someone who has actually shipped the systems being regulated, including at Dartmouth’s Thayer School of Engineering and the Johns Hopkins Bloomberg Center. That changes the credibility of the conversation in a boardroom. Thinking Machines Lab is structured as a public benefit corporation. The trade-offs between commercial pressure and societal responsibility are written into how the company is governed, which is rare among frontier AI labs. Biography highlights Founder and CEO of Thinking Machines Lab, an AI public benefit corporation that raised $2 billion at a $12 billion valuation in July 2025, the largest seed round in venture capital history. Former Chief Technology Officer of OpenAI, with leadership across research, product and safety teams behind ChatGPT, DALL-E, Codex, Sora and GPT-4. Briefly named interim CEO of OpenAI during the November 2023 board transition. Senior product roles at Tesla on the Model X programme and at Leap Motion before joining OpenAI in 2018. Recognised in TIME’s 100 Most Influential People in AI (2024), TIME 100 Next (2023), Fortune’s 100 Most Powerful Women in Business (2023) and CNBC Changemakers (2026). Honorary Doctor of Science from Dartmouth College (2024); Bachelor of Engineering from Dartmouth’s Thayer School of Engineering and Bachelor of Arts from Colby College. Biography The decisions about how today’s frontier AI systems would be deployed were made inside small research labs, largely closed to outside scrutiny. The most consequential of those decisions, around ChatGPT, DALL-E, Sora and the GPT series, were made in rooms most boards still cannot see into. Mira Murati was in those rooms. She was Chief Technology Officer at OpenAI from 2022 until 2024, leading the research, product and safety teams behind the systems that brought generative AI into mainstream use. Her tenure included the November 2023 board episode, when she was named interim CEO during the brief removal of Sam Altman, returning to the CTO role within days. She left OpenAI in September 2024, by which point the products her teams had shipped were in everyday use by hundreds of millions of people. In February 2025 she founded Thinking Machines Lab, a public benefit corporation based in San Francisco. The company raised $2 billion at a $12 billion valuation in July 2025, led by Andreessen Horowitz with Nvidia, AMD, Cisco, Accel and Jane Street participating. It was the largest seed round in venture capital history. The lab’s first product, Tinker, launched in October 2025 as an API that lets researchers fine-tune frontier open-weight models without managing the underlying compute. Princeton, Stanford and Berkeley were among the early users. For senior audiences, this is unusual access: a builder’s view of frontier AI from someone still building. Murati has written for Daedalus, the journal of the American Academy of Arts and Sciences, on the language and creativity of large models. She has spoken publicly on AI governance at Dartmouth’s Thayer School of Engineering and the Johns Hopkins Bloomberg Center. Just over a year after she left OpenAI, Thinking Machines Lab was reportedly in early talks to raise capital at a $50 billion valuation. Key speaking topics Frontier AI development and deployment Generative AI and large language models AI safety, governance and responsible deployment AI product leadership at scale Public benefit corporation models for frontier technology Fine-tuning and model customisation AI strategy and adoption for senior leaders Ideal for Boards and senior executive teams setting AI strategy and capital allocation CTOs, CIOs and chief AI officers responsible for technology platform decisions Public-sector and policy audiences engaging with AI regulation Technology investors and corporate development teams evaluating AI exposure Audience outcomes A direct read on how frontier AI labs actually make development and deployment decisions, drawn from someone who made them. A grounded view of where current AI capability sits and how far the field is from the frontier claims circulating in headlines. A working understanding of governance trade-offs from a builder’s perspective, including how a public benefit corporation structures them. A sharper view of which AI investments and adoption decisions deserve board-level attention over the next 18 to 36 months.

Why organisations work with Miriam Meckel She runs the leadership academy that European boards turn to when they need their executive layer fluent in AI, quantum and adjacent technologies, which gives her a live read on where senior teams actually get stuck. Her 2024 book with Lea Steinacker, “Alles uberall auf einmal”, is one of the most cited German-language treatments of generative AI for business audiences, anchored in regulation, labour markets and governance rather than hype. She combines a serious academic chair at the University of St. Gallen with two decades inside business media, including the editorship of WirtschaftsWoche, so her framing is built for executive audiences rather than translated for them. Her work on brain-computer interfaces and cognitive enhancement gives her unusual range when the conversation moves from current AI deployment to the next horizon of human-machine integration. She holds the 2025 Rudolf-Diesel-Medaille for Best Media Communication, a recognition explicitly tied to making complex future technologies practical for executive audiences. Biography highlights Co-founder and CEO of ada Learning GmbH, the AI and transformation academy spun out of Handelsblatt Media Group with Lea Steinacker and Verena Pausder. Professor of Communication Management and Director of the Institute for Media and Communication Management, University of St. Gallen. Co-author of “Alles uberall auf einmal” (Rowohlt, 2024) on artificial intelligence; author of “Mein Kopf gehort mir” (Piper, 2018) on brain-computer interfaces. Former editor-in-chief and publisher of WirtschaftsWoche, the first woman to lead the title. Faculty Associate at Harvard’s Berkman Klein Center for Internet and Society; board member of Swiss media group Tamedia. Recipient of the Rudolf-Diesel-Medaille (2025), Ernst Schneider Prize, Cicero Speaker’s Prize for Science, Eisenhower Fellowship and John F. Kennedy Memorial Fellowship. Biography Generative AI sits on most executive agendas and inside very few operating models. The space between those two facts is where European leadership teams currently lose months. Miriam Meckel works in that gap, professionally and intellectually. As co-founder and CEO of ada Learning, she runs the academy that puts senior managers from major European companies through structured programmes on AI, quantum and the technologies reshaping their industries. The work is concrete: how a CFO should think about model risk, how an HR leader should redesign roles around AI capability, how a CEO should commission and challenge an AI strategy. Her 2024 book with Lea Steinacker, “Alles uberall auf einmal”, argues that AI is best understood as a data-driven human amplifier, a framing that cuts through both utopian and apocalyptic readings of the technology. Her authority comes from holding two distinct positions at the same time. She is Professor of Communication Management at the University of St. Gallen and Director of its Institute for Media and Communication Management, with research credentials reaching back to Harvard’s Berkman Klein Center. She is also a working operator who edited WirtschaftsWoche, sits on the Tamedia board, and has built ada into a recognised institution in the German-speaking executive market. Her 2018 book “Mein Kopf gehort mir” took the same operator-academic approach to brain-computer interfaces, with first-person experiments inside the laboratories developing them. For boards confronting AI, she offers something the consultancy reports cannot: a researcher who teaches the technology to executives every week and reports back what they understand, what they resist, and what actually moves once they leave the room. Key speaking topics Generative AI in business strategy AI governance, regulation and ethics The future of work in an AI-enabled economy Brain-computer interfaces and human enhancement Quantum computing for executive audiences Digital transformation and leadership Media, communication and information overload Ideal for Boards and executive committees commissioning AI strategy and asking whether their AI position has any operational substance. CHROs and chief learning officers redesigning workforce capability around AI. CEOs and strategy leaders in regulated European industries balancing AI ambition with the EU AI Act and national supervision. Senior leadership programmes and executive offsites at the point of confronting AI seriously rather than in passing. Audience outcomes A working mental model of where generative AI is already operational, where it remains pilot, and where it is still speculative. A clear read on the EU, US and Chinese regulatory environments and what they mean for European firms. Sharper questions to ask vendors, internal AI teams and consultants, grounded in how the technology actually behaves. An honest sense of what AI will do to roles, teams and decision rights inside their own organisation over the next three to five years. A bridge between today’s deployment questions and the next horizon of human-machine integration, including neural interfaces and quantum.

Why organisations work with Misiek Piskorski His proprietary multi-step framework reduces digital transformation to five or six sequenced decisions – giving leadership teams a replicable process to own and implement, not a theory to absorb and interpret. A Social Strategy (Princeton University Press, 2014) – the first book to use large-scale proprietary platform data to explain how companies build competitive advantage from social platforms – introduced three named diagnostic tests (social utility, social solution, and business value) that practitioners can apply to any platform investment decision. His transformation programmes are designed to span the full organisational hierarchy: CEO-level strategic advisory, top-team execution, middle-management education, and organisation-wide capability building – which means transformation logic does not stop at the boardroom door. As Co-Director of IMD’s AI Strategy and Implementation programme, he connects AI adoption directly to competitive strategy rather than treating it as a technology or operations question – giving executive teams a frame that boards can act on. Custom programmes delivered for organisations including Johnson & Johnson, Bayer, and the Asian Development Bank mean his frameworks have been stress-tested across industries and geographies, not built in one sector and applied to others by analogy. Biography highlights Professor of Digital Strategy, Analytics and Innovation and Dean of Executive Education, IMD Business School, Lausanne Previously Associate Professor of Business Administration in the Strategy Unit, Harvard Business School (ten years); prior faculty appointment at Stanford University Graduate School of Business Author of A Social Strategy: How We Profit from Social Media (Princeton University Press, 2014) – winner of the Axiom Business Book Awards Gold Medal, 2015 Research published in Administrative Science Quarterly, Harvard Business Review, Management Science, MIT Sloan Management Review, American Journal of Sociology, and Social Forces EFMD Excellence in Practice Gold Award 2019, Organisational Development category, for the Siam Commercial Bank digital transformation programme Co-Director, AI Strategy and Implementation programme, IMD; Programme Director, Developing Digital Transformation Strategies (IMD online) Associate Editor, Journal of Organization Design; editorial board member, Administrative Science Quarterly, Management Science, and Organization Science Biography Misiek Piskorski spent two decades studying why digital transformation succeeds or stalls – working first at Stanford’s Graduate School of Business and then at Harvard Business School before joining IMD in Lausanne in 2014. The answer, he argues, is almost never about technology. It is about the sequence of strategic decisions that determines how digital capabilities translate into competitive advantage. His book A Social Strategy (Princeton University Press, 2014) was the first to draw on proprietary data from platforms including Facebook and LinkedIn to explain the commercial mechanism behind social platforms. The argument – that companies must first help users meet social needs that cannot be satisfied offline before asking for any commercial return – won the Axiom Business Book Awards Gold Medal in 2015. Three diagnostic tests introduced in the book (social utility, social solution, and business value) give executive teams a practical tool for evaluating any platform investment. At IMD, his work is deliberately structured to span the full organisation. Custom programmes for Johnson & Johnson, Bayer, and the Asian Development Bank move from CEO-level strategy through top-team transformation projects to executive education for middle managers and digital learning at scale. As Co-Director of IMD’s AI Strategy and Implementation programme, he applies the same sequenced-decision logic to AI adoption – connecting implementation directly to competitive strategy. His research has appeared in Administrative Science Quarterly, Harvard Business Review, Management Science, and MIT Sloan Management Review. He received the EFMD Excellence in Practice Gold Award in 2019 for his collaboration with Siam Commercial Bank on digital transformation, and serves as Associate Editor of the Journal of Organization Design. Key speaking topics Platform strategy and competitive advantage Digital transformation decision frameworks AI strategy and enterprise-wide implementation Social platform economics and business value Data analytics and strategic decision-making Digital business model design Organisational digital capability building Ideal for CEOs and senior leadership teams navigating digital transformation at enterprise scale Chief Digital Officers and Chief Strategy Officers assessing platform and AI investment decisions Boards and executive committees evaluating digital readiness and competitive positioning CHROs and Learning & Development leaders designing organisation-wide digital capability programmes Audience outcomes A named, sequenced decision framework for planning and executing digital transformation across the organisation – not a conceptual model but a structured process Practical diagnostic tools (social utility, social solution, and business value tests) for evaluating whether a platform or digital investment is likely to create competitive advantage A clear model for distinguishing digital activity from digital strategy – and for identifying where current transformation efforts are likely to stall Understanding of how AI adoption decisions connect to competitive positioning rather than remaining isolated as technology or operations questions A working vocabulary for the five or six strategic decisions that determine whether transformation programmes deliver at scale

Why organisations work with Mo Gawdat His central AI thesis – that these systems reflect the values humans encode into them, and that organisations still have a window to act – was published in 2021 and validated by the subsequent speed of AI deployment. Boards are not getting speculation; they are getting a forecast with a track record. Scary Smart gives senior leadership a specific accountability framework, not a risk briefing: the argument is that the question is not whether AI will be powerful, but what the organisation is actively doing to shape its values now. The Solve for Happy happiness model is a named, reproducible framework developed through the same engineering logic Gawdat applied throughout his technology career – not a wellbeing programme, but a systematic methodology for building psychological stability under pressure. He addresses the external disruption (AI’s structural impact on work and value) and the internal response (the human psychology of navigating it) as a single argument – which is why his sessions land differently in a strategy forum than a conventional AI speaker or a conventional wellbeing speaker would. Seven years inside Google [X] at the point when self-driving cars, Project Loon, and Google Life Sciences were being built and commercialised gives him a credibility baseline that no amount of research or commentary can replicate. Biography highlights Former Chief Business Officer, Google [X] (2013-2018), overseeing commercial strategy for Google’s moonshot innovation division 30-year career in technology spanning IBM, NCR, Microsoft, and Google, including senior roles across emerging markets globally Author of Solve for Happy (Macmillan, 2017), Scary Smart (Macmillan, 2021), That Little Voice in Your Head (Macmillan, 2022), and Unstressable (2024, co-authored with psychologist Alice Law) Scary Smart named a Sunday Times Business Book of the Year (2021) Chief AI Officer at Flight Story, the digital marketing company co-founded by Steven Bartlett Founder of One Billion Happy, a global initiative to share structured approaches to happiness and wellbeing Host of Slo Mo, one of the leading mental health podcasts globally Biography When Scary Smart was published in 2021, its central argument read as speculative: AI would become superintelligent, its real danger lay not in the technology itself but in the values humans encode into it, and organisations still had a narrow window to shape the outcome. Within a year, the release of ChatGPT had reframed the argument as a warning that had arrived early. Mo Gawdat had been inside Google [X] when these systems were being built. Gawdat joined Google in 2007 and served as Chief Business Officer of Google [X] from 2013, overseeing commercial strategy for the moonshot division behind self-driving cars, Project Loon, and Google Life Sciences. His seven years there gave him direct exposure to both the capability and the accountability gaps at the frontier of AI development. He left in 2018 and now serves as Chief AI Officer at Flight Story, the digital marketing company co-founded by Steven Bartlett. The parallel body of work on happiness was not a departure from his technology career. It emerged from the same engineering mindset applied to personal crisis. Following the death of his son Ali in 2014, Gawdat developed the framework at the centre of Solve for Happy: a systematic, reproducible model for well-being grounded in cognitive science. The book became an international bestseller. His thesis is that the two bodies of work are not separate. An organisation that understands the human psychology of its people is better positioned to navigate the disruption AI will accelerate. Unstressable, co-authored with psychologist Alice Law and published in 2024, extends that logic into a practical stress-management framework built around four human systems. He hosts Slo Mo, one of the leading mental health podcasts globally, and his earlier books – That Little Voice in Your Head (2022) and Scary Smart, a Sunday Times Business Book of the Year – continue to reach executive audiences grappling with AI governance and personal resilience across a 30-year technology career. Key speaking topics AI ethics and governance Responsible AI adoption The human impact of AI disruption Happiness science and the engineering of well-being Stress management frameworks Technology leadership and strategic foresight Human values in AI development Ideal for Boards and executive leadership teams making AI governance and adoption decisions Chief People Officers and Chief Technology Officers managing workforce responses to AI disruption Strategy, transformation, and future of work forums where AI risk and human resilience intersect Technology, financial services, and marketing organisations with significant and growing AI exposure Audience outcomes A coherent framework for evaluating AI’s ethical and human risks, grounded in direct experience of building these systems rather than external commentary Clarity on what values organisations need to embed in AI systems now, and why the window to do so meaningfully is narrowing Practical tools from the Solve for Happy model for building psychological stability and resilience under conditions of sustained uncertainty A more calibrated understanding of the timeline and direction of AI development, distinct from both catastrophism and uncritical optimism Practical techniques from Unstressable for identifying and reducing sources of stress at individual and team level

Why organisations work with Monica Verma Operational CISO experience that informs every recommendation. Three CISO appointments, including Orange Business Cloud Services and the Norwegian Directorate of Health, mean her advice on AI risk comes from someone who has actually run the response. A hacker’s view of AI threats paired with a CISO’s view of governance. She started in offensive security finding web application vulnerabilities. She now advises boards on AI trust and accountability. Both perspectives in the same conversation. A proprietary maturity model. Her Cybersecurity Adoption Lifecycle Model, introduced in 2020, gives executive teams a way to locate themselves on the cyber and AI maturity curve. Credibility with technical and commercial audiences. Booked by FT Live in Luxembourg, the ACFE Fraud Conference Europe, and WCM 2025 in Brazil for an audience of 2,000 leaders. A clear point of view on the most contested question in the boardroom right now: how to adopt AI without breaking trust and governance. She has built her current keynote portfolio around it. Biography highlights Three-time Chief Information Security Officer with prior CISO appointments at Orange Business Cloud Services and the Norwegian Directorate of Health (Helsedirektoratet, Helfo, POBO). Director, International Cybersecurity & Resilience at Booz Allen Hamilton (2024). Recognised as Top #3 CISO in EMEA (2023), Top 50 Women in Tech (2022), and Outstanding Security Advisor at Norway’s Outstanding Security Performance Awards (2019). Board-certified Qualified Technology Expert (QTE) and former board member of Cloud Security Alliance Norway and Women in Cybersecurity Norway. Founder and CEO of Monica Talks Cyber and Cyber Foyer. Host of The Monica Talks Cyber Show podcast and author of The Predictability Factor newsletter. Contributor to Dark Reading. Featured speaker at FT Live, the ACFE Fraud Conference Europe, WCM Brazil, Cyber Root Malta, and the Norwegian Tax Authority’s IT Tech conference. Biography AI is now in the boardroom and in the threat model at the same time. Most leadership teams have someone who can speak credibly about one or the other. Few have someone with three CISO appointments behind them and an active AI advisory practice on top. Monica Verma’s career has run through both. The starting point was offensive security, finding vulnerabilities in web applications and cloud environments before attackers could. Three CISO appointments followed, including Orange Business Cloud Services and the Norwegian Directorate of Health. By 2024 she was Director of International Cybersecurity and Resilience at Booz Allen Hamilton. Her published work bridges the same divide. The Cybersecurity Adoption Lifecycle Model, which she introduced in 2020, adapts the technology adoption curve to give executive teams a usable map of their cyber maturity. Her current keynote portfolio takes that lens into the AI era: Innovating with AI Without Breaking Trust and Governing AI Before It Hacks You. The credentials track. Top #3 CISO in EMEA in 2023, Top 50 Women in Tech in 2022, Outstanding Security Advisor at Norway’s OSPAs in 2019. The booking pattern says more. FT Live brought her in for the European fund management industry in Luxembourg. The ACFE chose her to open its 2025 Fraud Conference Europe to ca. 500 anti-fraud executives. WCM Brazil put her in front of 2,000 leaders at one of the world’s largest strategy and leadership conferences. Key speaking topics AI security and governance Cyber resilience in the AI era AI risk and trust for the enterprise Cybersecurity leadership at board level The evolution of cybercrime AI-enabled fraud and threat response Ideal for Boards and executive committees making AI adoption decisions where governance and security are not yet aligned. CISOs, CIOs and CTOs whose teams are being asked to defend against AI-enabled threats while adopting AI internally. Financial services, healthcare and public sector organisations facing high regulatory exposure on both AI and cybersecurity. Audience outcomes Specific examples of how AI is currently breaking enterprise trust in regulated industries. A maturity check against the Cybersecurity Adoption Lifecycle Model that locates where the organisation sits. The questions a board needs to ask before approving its next major AI initiative. A view of how attackers are using AI today and which enterprise defences are still holding.

Why organisations work with Mustafa Suleyman Few people in AI both ship the product and frame the public debate. As CEO of Microsoft AI he runs Copilot, Bing and Edge for hundreds of millions of users, while The Coming Wave was shortlisted for the Financial Times and Schroders Business Book of the Year and called Bill Gates’s favourite book on AI. His “containment problem” framework gives boards a working language for asking governance questions about AI without lapsing into either hype or fatalism. He has been inside the founding team of three of the most consequential AI organisations of the past fifteen years: DeepMind in 2010, Inflection AI in 2022 and Microsoft AI in 2024. That operating vantage point on how AI strategy actually gets built is uncommon in the speaker market. A Senior Fellowship at the Belfer Center for Science and International Affairs at Harvard Kennedy School and a board seat at The Economist Group give him sustained credibility on policy and governance, not only on product. Biography highlights CEO of Microsoft AI since March 2024, with responsibility for Copilot, Bing, Edge, MSN and GroupMe. Co-founder of DeepMind (2010), former head of Applied AI; the company was acquired by Google in 2014 in its largest European deal at the time. Co-founder and former CEO of Inflection AI, where he built the Pi assistant with Reid Hoffman and Karen Simonyan. Author of The Coming Wave (Crown, 2023) with Michael Bhaskar: New York Times bestseller; shortlisted for the Financial Times and Schroders Business Book of the Year; book of the year at the Financial Times, the Economist, Bloomberg and the Guardian. Senior Fellow at the Belfer Center for Science and International Affairs at Harvard Kennedy School; board member of The Economist Group. CBE in the 2019 New Year Honours; named to TIME’s 100 Most Influential People in AI in 2023 and 2024; TED main-stage speaker, “What is an AI anyway?” (April 2024). Biography DeepMind, Inflection AI and Microsoft AI are three of the most consequential AI organisations of the past fifteen years. Mustafa Suleyman co-founded two and now runs the third. He co-founded DeepMind in 2010, where he led the applied AI work and the DeepMind Ethics and Society research unit. He went on to co-found Inflection AI in 2022 with Reid Hoffman and Karen Simonyan, building Pi, an assistant designed for emotionally responsive conversation. In March 2024 Microsoft brought him in as CEO of Microsoft AI, with responsibility for Copilot, Bing, Edge and the company’s MAI frontier model team. His public argument turns on the containment problem. It is the task of keeping powerful technologies inside the control of the institutions meant to govern them, even as those technologies become cheaper and more accessible. He developed that argument in The Coming Wave, the book he wrote with Michael Bhaskar. It became a New York Times bestseller and was named a book of the year by the Economist, the Financial Times, Bloomberg and the Guardian. Outside Microsoft, he sits on the board of The Economist and is a Senior Fellow at the Belfer Center for Science and International Affairs at Harvard Kennedy School. Key speaking topics The future of artificial intelligence AI governance and the containment problem Frontier AI development and consumer deployment AI strategy for boards and senior leaders Technology, power and the nation-state The next wave of general-purpose technologies AI safety and alignment Ideal for CEOs and boards setting AI strategy and capital allocation Chief technology officers and chief product officers responsible for AI deployment Government leaders, regulators and policy advisors working on AI rules Senior leaders in financial services, healthcare, media and consumer technology Audience outcomes A working language for talking about AI risk and AI opportunity in the same conversation, anchored in the containment problem A clearer view of what frontier AI labs are actually building, from someone who runs one A sense of where consumer AI is heading over the next two to three years, beyond the current news cycle An honest read on which AI claims are worth taking seriously and which to discount

Why organisations work with Neil Sahota He was an operator inside the IBM Watson Group when cognitive computing first met enterprise budgets, which gives him a deployment vocabulary most AI speakers lack. As co-founder of the UN’s AI for Good Initiative, he has helped scope and govern AI projects across the Sustainable Development Goals, giving boards a credible reference point on responsible deployment. His book “Own the A.I. Revolution,” named a Soundview Best Business Book of 2019 and published by McGraw Hill, sets out a buyer-side framework for AI investment that holds up in front of a commercial executive committee. He sits at the intersection of enterprise AI and capital allocation through Tech Coast Angels and advisory roles with Miramar and CerraCap, so he reads AI strategy through an investor lens as well as an engineer’s. As Chief Innovation Officer at UC Irvine’s Samueli School of Engineering, he keeps a continuous line into university research, which means his keynote content moves with the field, not behind it. Biography highlights IBM Master Inventor and former World Wide Business Development Leader, IBM Watson Group United Nations Artificial Intelligence Advisor and co-founder of the UN’s AI for Good Initiative Chief Innovation Officer, Samueli School of Engineering, UC Irvine Author of “Own the A.I. Revolution” (McGraw Hill), Soundview Best Business Book of 2019 Forbes contributor; featured in the Wall Street Journal, BBC, Wired, Fast Company and Business Insider CEO of ACSI Labs; member of Tech Coast Angels; advisor to Miramar Ventures and CerraCap Ventures Co-host of the “AI for All” podcast Biography Inside the IBM Watson Group, in the years between the Jeopardy! Grand Challenge and Watson’s first commercial healthcare deployments, a small group of business development leaders had to teach Fortune 500 buyers what cognitive computing was actually for. Neil Sahota was one of them. That experience, building enterprise AI cases when the category did not yet exist, is the foundation of everything he now offers a senior audience. He carried that operator perspective into the United Nations as an AI Advisor and co-founder of the AI for Good Initiative, where the work shifted from selling AI capability to governing it. The Initiative now coordinates AI projects against the Sustainable Development Goals, and Sahota’s role gives him a working view of how AI behaves at scale, across jurisdictions, and under public scrutiny. Few keynote speakers in the AI category hold both an enterprise deployment credential and a multilateral governance seat. His book “Own the A.I. Revolution,” published by McGraw Hill and named a Soundview Best Business Book of 2019, sets out an investment logic for AI that a commercial executive committee can actually use: where to play, how to assemble the team, how to evaluate vendors and partners. As Chief Innovation Officer at UC Irvine’s Samueli School of Engineering, and as a contributor to Forbes and a regular voice in the Wall Street Journal, BBC and Wired, he keeps that argument current as the technology and the regulatory perimeter both move. The buyer test is simple. A leadership team that wants a serious conversation about turning AI ambition into operating advantage, with someone who has built it, governed it, and written the framework, gets one in the room. Key speaking topics Enterprise AI strategy and deployment Responsible AI and governance Generative AI and the future of business AI for social impact and the UN Sustainable Development Goals Innovation, entrepreneurship and emerging technology The future of work in the age of AI Ideal for Boards and executive committees setting AI investment priorities CIOs, CTOs and Chief AI Officers moving from pilot to production Heads of innovation and corporate venture leads scoping AI partnerships Public sector and multilateral audiences working on AI governance and public-good applications Audience outcomes A clearer read on where AI investment produces commercial advantage and where it produces sunk cost A practical view of AI governance from someone who has helped shape it at the United Nations Specific reference cases drawn from IBM Watson-era enterprise deployments and current UN AI for Good projects A sharper internal language for AI strategy that a board, a finance committee and an engineering function can all use