Artificial Intelligence & Generative AI

Why organisations work with Cate Trotter A working method, not a trend report. Trotter pairs structured signal analysis with a disciplined experimentation approach that gets innovation off the slide deck and into the P&L. Direct access to live retail signal infrastructure: Insider Trends runs on-the-ground retail safaris in London, New York, Paris and Seoul, used by senior teams at Chanel, Lego, Nike, Hugo Boss and Carrefour. A retail futures lens recognised by the industry’s own gatekeepers: Rethink Retail Top 100 Global Retail Influencer in 2021 and 2022, LinkedIn Top Voice, TechNation 200 Thought Leader. GINI Certified Chief Innovation Officer credentials applied to commercial problems, not abstract innovation theory. Useful for boards that have tired of innovation programmes that do not pay for themselves. Builds the bridge between AI hype and AI deployment that actually saves money, in language operators and finance teams can act on. Biography highlights Founder and Head of Trends, Insider Trends, a London-based retail futures agency operating retail safaris in London, New York, Paris and Seoul. Rethink Retail Top 100 Global Retail Influencer, 2021 and 2022. LinkedIn Top Voice and TechNation 200 Thought Leader. Future 100 Entrepreneur (Striding Out) and StartUp 100 Entrepreneur (Startups). GINI Certified Chief Innovation Officer. Client roster includes Chanel, Lego, Nike, Mercedes, Samsung, Johnson & Johnson, Hugo Boss, Galeries Lafayette, Marks & Spencer, Jaguar Land Rover, Carrefour, L’Oreal, Unilever, Google and Meta. Biography Retail leaders rarely lack trend material. The Carrefour COO, the Hugo Boss board, and the senior teams at Chanel and Lego all have access to the same headline reports as everyone else. What they buy from Insider Trends is the layer underneath: the structured reading of signals that have not yet become headlines, and a method for acting on them before competitors do. Cate Trotter founded Insider Trends to close that gap. The firm runs in-person retail safaris in London, New York, Paris and Seoul, used by senior operators to ground strategic decisions in what is actually working on the shop floor and on the screen. Clients include Nike, Mercedes, Samsung, Johnson & Johnson, Marks & Spencer and Galeries Lafayette. Her method joins two disciplines that usually sit apart. A structured PESTLE-style reading of non-obvious signals on the front end, and a disciplined experimentation practice on the back end, drawn from her work as a GINI Certified Chief Innovation Officer. The result is innovation that earns its budget, rather than innovation as performance. Recent work focuses on AI deployments that operators can defend on commercial grounds, not on novelty. The industry has noticed. Rethink Retail named her a Top 100 Global Retail Influencer in 2021 and 2022. LinkedIn ranks her as a Top Voice. TechNation listed her among its 200 Thought Leaders. She speaks to audiences of up to 800 across Europe, the Americas and Asia, and frequently advises CEOs, COOs and boards directly, including the General Manager of L’Oreal France and the Chief Operations Officer of Carrefour. Key speaking topics Retail futures and customer experience Innovation as a managed commercial discipline AI deployment in retail and consumer-facing operations Trend signals and structured foresight Disciplined experimentation Digital transformation in retail Customer behaviour and consumer signals Ideal for Retail and consumer goods CEOs, COOs and boards setting innovation and customer experience priorities. Chief Innovation Officers and transformation leads under pressure to convert experiments into commercial returns. Chief Marketing and Customer Officers in consumer-facing categories. Leadership offsites at brands rethinking physical and digital retail formats. Audience outcomes A sharper read of the non-obvious signals shaping their category, separated from the noise of trend headlines. A repeatable method for converting trend insight into commercial experiments with measurable returns. Concrete examples of AI use cases in retail that have already paid for themselves. A clearer view of what the world’s best retail operators are actually doing differently. Confidence to retire innovation projects that exist for show and back the ones that move the P&L.

Why organisations work with Billie Whitehouse She has shipped real wearable products at consumer scale, including the Nadi X haptic yoga pant and the Fan Jersey shown around Super Bowl 50, not concept renders or research prototypes. She runs a category-defining company on both sides of the Pacific. Wearable X has been one of the longest-surviving independent smart-apparel businesses in the market, giving her a working view of what the category can and cannot support commercially. She brings a fashion designer’s instinct to a hardware conversation. Her starting question is not what the sensor can do, but what the wearer will accept on their body, which reframes most internal innovation debates about wearables. She has been recognised by Fast Company’s Most Creative People in Business and Business Insider’s 30 Most Important Women Under 30 in Tech, giving her credibility in both the technology and the design communities that organisations are trying to bridge. Biography highlights Founder, CEO and Creative Director of Wearable X, headquartered in New York with operations in Sydney. Creator of Nadi X, smart yoga apparel with embedded accelerometers and haptic feedback for posture correction. Designed the Fan Jersey haptic fan-engagement garment associated with Super Bowl 50, and the Foxtel Alert Shirt. Named to Fast Company’s 100 Most Creative People in Business and Business Insider’s 30 Most Important Women Under 30 in Tech. Exhibited at the Venice Biennale and the Limits of Humanity exhibition at the Musée de l’Homme, Paris (2021). Keynote speaker at The New Yorker TechFest, Fortune’s Most Powerful Women, Cannes Lions, Wired Retail UK and Wearable Technologies Conference. Biography Wearable computing has spent a decade trapped in the wrist. The watch became the default form factor because it was the easiest place to put a screen, not because it was the most useful place to put a sensor. Wearable X was built on the opposite premise: the garment itself is the device, and the body is where the interface actually lives. That premise has produced shipped products. Nadi X yoga apparel uses accelerometers and haptic modules sewn into the fabric to nudge the hip, knee and ankle into alignment during practice, with no phone in the user’s eyeline. The Fan Jersey, shown around Super Bowl 50, translated live game data into physical sensation on the wearer’s torso. Both products started from the wearer’s experience and worked backwards into the engineering, an order of operations that most hardware companies do not follow. The professional grounding behind that approach is design, not computer science. Whitehouse trained at the Whitehouse Institute of Design in Australia and studied Fashion as Art at Accademia Italiana in Florence before founding Wearable Experiments in 2013, later renamed Wearable X. She has been named to Fast Company’s 100 Most Creative People in Business and Business Insider’s 30 Most Important Women Under 30 in Tech, and her work has been shown at the Venice Biennale and the Musée de l’Homme in Paris. For leadership teams thinking about what comes after the smartphone, the most useful thing she brings is a working answer to a specific question: what does it take to make a piece of technology that a person will actually put on their body every day. That answer involves apparel, hardware, software and behavioural design at the same time, and very few operators have shipped against all four constraints at once. Key speaking topics Wearable technology and smart apparel Haptic feedback and ambient computing Fashion technology and consumer hardware Design-led product development Women founders in deep tech The future of human computer interaction Ideal for Chief product officers, CTOs and innovation leads at consumer goods, apparel, sportswear and consumer electronics businesses Corporate innovation and R&D teams exploring wearable, haptic or sensor-based product categories Investors and accelerator audiences focused on hardware, fashion-tech or female-founded deep-tech ventures Senior creative and design leadership inside organisations bringing physical and digital products closer together Audience outcomes A clearer picture of where wearable technology has stalled and where it is genuinely advancing beyond the wrist A working framework for thinking about the garment, not the device, as the next product surface A founder’s honest view of what it takes to commercialise hardware that crosses fashion and technology A more concrete sense of where haptics, sensors and ambient computing are likely to land inside the next consumer cycle

Why organisations work with Ayanna Howard Her lab produced the first peer-reviewed algorithms quantifying how robot mistakes erode human trust – including in emergency scenarios where people followed automated systems away from clearly marked exits. That finding reframes the AI governance question from “is our system accurate?” to “are our people dangerously deferring to it?” Her book Sex, Race, and Robots (2021) makes a specific, falsifiable argument: AI bias originates with the designer, not the data. That argument changes where leadership teams assign accountability – and what they need to do before deployment, not after. She holds board seats at Autodesk and Motorola Solutions while running one of the largest engineering schools in the US. She understands AI decisions from lab to boardroom, and she speaks to both with equal authority. Zyrobotics, the company she founded from her Georgia Tech research, has commercialised AI for children with motor and cognitive challenges – she has direct product experience of translating research into regulated, real-world applications. As the 2021–2022 ACM Athena Lecturer and a Fellow of IEEE, AAAI, AAAS, and the National Academy of Inventors, her credentials carry weight in technical due diligence conversations as well as executive ones. Biography highlights Dean of the College of Engineering, The Ohio State University – first woman in the role; manages a $360M annual budget, 12 departments, and 11,900+ students Senior Robotics Researcher and Deputy Manager, Office of the Chief Scientist, NASA Jet Propulsion Laboratory – contributed to Mars rover and arctic robotics programmes Named 2021–2022 ACM Athena Lecturer for fundamental contributions to accessible human-robotic systems and AI Author of Sex, Race, and Robots: How to Be Human in the Age of AI (Audible Studios/Brilliance Audio, 2021) Fellow of IEEE, AAAI, AAAS, and National Academy of Inventors; elected member of the American Academy of Arts and Sciences Independent director, Autodesk Inc. and Motorola Solutions Inc. boards Founder, Zyrobotics – Georgia Tech spin-off developing AI-powered educational and therapy products for children with special needs Named to Forbes America’s Top 50 Women in Tech and Business Insider’s 23 Most Powerful Women Engineers; featured in TIME, Vanity Fair, CNN, and NPR Biography When an AI system makes a flawed decision, most organisations blame the data. Ayanna Howard’s research makes a harder argument: bias in AI is a design failure, and it traces directly to who builds the system. Her audiobook Sex, Race, and Robots (2021) put that argument to a public audience. Her more than 250 peer-reviewed publications put it to the scientific record. Her experimental work sharpens the stakes. Howard’s Human-Automation Systems Lab produced the first algorithms to quantify how robot mistakes erode human trust – including in emergency scenarios, where research subjects followed an automated guide away from clearly marked exits. The implication is direct: humans are overtrusting AI systems in ways that matter for consequential decisions in healthcare, hiring, and security. Her authority on these questions reaches across three distinct domains. She spent twelve years at NASA’s Jet Propulsion Laboratory – as Senior Robotics Researcher and Deputy Manager in the Office of the Chief Scientist – developing autonomous systems for Mars and arctic terrain. She then led one of the US’s most productive human-robotics labs at Georgia Tech. She now serves as Dean of Engineering at The Ohio State University – its first female dean – overseeing twelve departments, a $360M budget, and more than 11,900 students. Howard also holds board seats at Autodesk and Motorola Solutions, and founded Zyrobotics, which translates her research into AI-powered educational and therapy products for children with special needs. She is a Fellow of IEEE, AAAI, AAAS, and the National Academy of Inventors, and the 2021–2022 ACM Athena Lecturer. For boards and leadership teams asking serious questions about AI governance, she offers peer-reviewed research, institutional scale, and direct commercial accountability – in the same person. Key speaking topics AI bias and responsible system design Human overtrust in automated systems Human-robot interaction and trust Assistive and healthcare robotics AI governance and ethics AI in business: risk and opportunity Engineering leadership and workforce diversity in STEM Ideal for Corporate boards and C-suite leaders with AI governance responsibility Chief Technology Officers and Chief Digital Officers overseeing AI deployment R&D and innovation leadership in technology, healthcare, and manufacturing organisations Engineering and technology leadership development programmes Audience outcomes A specific reframe of AI accountability: bias is a design responsibility, not a data problem – with implications for who in the organisation owns it Evidence-based understanding of how humans overtrust automated systems, and what that means for governance and deployment decisions Practical criteria for evaluating AI systems before they are placed in consequential roles Clearer understanding of where workforce diversity in technical teams changes AI outcomes – and how to make the case internally A more confident, evidence-grounded position for boards and leadership teams facing AI adoption decisions

Why organisations work with Angela Barnes She is a sitting business editor, not a retired one. The Euronews remit means she walks into a room with the same week’s markets, policy and corporate stories already loaded. The Big Question is a CEO-interview franchise she writes and presents every week. Boards hiring her for a fireside or on-stage interview are hiring a format she runs as a day job. Her reporting reach spans Sky News, CNBC (including East Tech West), ITV, Yahoo Finance and The Telegraph, which gives her fluency across markets, technology and energy without a single-sector tell. She has moderated for the IMF and the Paris Finance Forum, so the step up to finance-ministry-level panels does not require coaching. The technology background from Sky Swipe and CNBC East Tech West means a tech-and-AI panel does not need a separate host. Biography highlights Managing Editor of Business, Euronews, Brussels Anchor and interviewer, The Big Question, Euronews Over a decade at Sky News as producer, reporter and presenter, including the Swipe technology show Contributor credits at CNBC (East Tech West), ITV, IG, Yahoo Finance and The Telegraph Moderator credits include the IMF and the Paris Finance Forum Described by Ireland’s Better Business magazine as “one of Europe’s most prominent news figures” Biography The Big Question goes out weekly on Euronews. Angela Barnes writes it, produces the conversation and puts the questions to a rolling cast of chief executives, ministers and investors. That is the core of her working life, and it is why she is in demand on stage. Barnes runs business, markets and economics for Euronews from Brussels, which puts her inside the policy bloodstream of the European Union and within a short flight of the financial centres her audience trades in. Before Euronews she spent more than a decade at Sky News as a producer, reporter and presenter, including on the Swipe technology programme, and has contributed to CNBC’s East Tech West, ITV, IG, Yahoo Finance and The Telegraph. As a moderator she has worked with the IMF and the Paris Finance Forum, which means the vocabulary of sovereign balance sheets, energy transition finance and central-bank communication is already familiar. Ireland’s Better Business magazine called her “one of Europe’s most prominent news figures.” The practical point for a board hiring a host: the person on stage has done the interview that morning, on camera, with someone senior, and will do another one next week. That keeps the questions current and the pace sharp. Key speaking topics Global markets and the macro picture Energy markets and the energy transition European economic and political risk Technology, AI and the platform economy Central bank policy and financial stability Corporate strategy and CEO accountability Business journalism and media strategy Ideal for Annual conferences and investor days needing a moderator who can interview a CEO and a finance minister in the same programme Financial services, energy and technology clients hosting C-suite and board-level forums Public-sector and multilateral convenings on economic policy, trade and transition finance Audience outcomes A panel or fireside that stays on point because the host has read the file and the morning’s news Senior guests stretched on the questions that matter, without hostility, so the audience learns something new A running thread between sessions that ties markets, policy and technology into one narrative for the day A tighter run of show, because a working editor manages time on air for a living

Why organisations work with Amy Webb Webb’s foresight methodology is not scenario-planning by another name – it applies quantitative modelling to emerging signals, giving boards an evidential basis for long-horizon technology decisions that is defensible rather than intuitive. Her annual Tech Trends Report tracks more than 700 emerging technology and science trends and is downloaded more than one million times a year; few advisory practices produce intelligence infrastructure at comparable scale or breadth. The Big Nine named and defined the “G-MAFIA” framework – the six American and three Chinese corporations Webb argues hold structural control over AI’s trajectory. Audiences gain a durable analytical vocabulary for a problem most organisations are still describing in generic terms. Her advisory relationships with the White House, European Union, United Nations, and World Economic Forum are ongoing, not project-based – her understanding of how governments are approaching AI governance and technology risk is primary source, not aggregated. Her latest concept, “living intelligence” – the convergence of artificial intelligence, biotechnology, and advanced sensors into a single technology supercycle – gives senior leaders a framework for thinking beyond current AI strategy before the convergence forces reactive decisions. Biography highlights Founder and CEO, Future Today Strategy Group; ranked #3 most influential management thinker globally by Thinkers50 (2025) Adjunct Professor of Strategic Foresight, NYU Stern School of Business; Visiting Fellow, Oxford University’s Saïd Business School; former Nieman Fellow, Harvard University Author of The Big Nine (2019) – longlisted for the Financial Times & McKinsey Business Book of the Year, winner of the 2020 Gold Axiom Medal – and The Signals Are Talking (2016), winner of the Thinkers50 RADAR Award and 2017 Gold Axiom Medal The Genesis Machine (2022, co-authored with Andrew Hessel) named by The New Yorker as one of the year’s best nonfiction works; books translated into 23 languages Life member, Council on Foreign Relations; founding member, WEF Strategic Foresight Advisory Board; member, WEF Global Risks Board; AI Governance Alliance partner Contributor to Harvard Business Review and MIT Sloan Management Review; TED Talk on algorithmic thinking viewed more than 8 million times, translated into 32 languages Biography The gap between sensing that a technology will reshape a sector and knowing when – and how – to act is where most long-range strategy breaks down. Amy Webb’s work is built around closing that gap. As founder and CEO of the Future Today Strategy Group, she pioneered a quantitative modelling approach to strategic foresight: one that applies the analytical rigour of economic forecasting to the identification of emerging technology signals, rather than relying on narrative scenarios or trend decks. Her books have given organisations specific frameworks for understanding the structural dynamics of technology change. The Big Nine named the six American and three Chinese corporations – the “G-MAFIA” and BAT – that Webb argues hold disproportionate control over AI’s development, and traced the geopolitical and commercial consequences of that concentration. The Genesis Machine, co-authored with biotechnologist Andrew Hessel, examined the organisational and governance implications of synthetic biology before the technology entered mainstream strategy conversations. Both were recognised externally: The Big Nine was longlisted for the Financial Times and McKinsey Business Book of the Year; The Genesis Machine was named by The New Yorker as one of the year’s best nonfiction works. Her access to the rooms where technology governance is being decided is direct and ongoing. As an advisor to the White House, European Union, and United Nations, and as a founding member of the World Economic Forum’s Strategic Foresight Advisory Board, Webb’s work informs global technology policy – not as periodic input but as sustained engagement. Her annual Tech Trends Report, tracking more than 700 emerging technology and science developments, is downloaded more than one million times a year. Ranked third on Thinkers50’s 2025 list of the world’s most influential management thinkers, Webb teaches strategic foresight at NYU Stern’s MBA programme and holds a visiting fellowship at Oxford’s Saïd Business School. Her current framework, “living intelligence” – the convergence of artificial intelligence, biotechnology, and advanced sensors – maps the technology supercycle she argues is already underway. For organisations whose long-range strategy begins and ends with AI, it is a substantive challenge to the scope of their thinking. Key speaking topics Quantitative strategic foresight Artificial intelligence and the global technology power landscape Living intelligence: AI, biotechnology, and advanced sensors Technology supercycles and long-horizon planning Geopolitics of emerging technology Futures methodology and organisational decision-making Synthetic biology and the next frontier of disruption Ideal for C-suite and boards developing long-range technology and competitive strategy Chief Strategy Officers and innovation leads rethinking their approach to uncertainty and futures planning Government, regulatory, and policy audiences responsible for technology governance Risk, investment, and scenario-planning teams assessing the strategic implications of AI and converging technologies Audience outcomes A clear analytical method for distinguishing which emerging technology signals warrant a strategic response – and which represent noise Understanding of the “living intelligence” framework and why the convergence of AI, biotechnology, and advanced sensors represents a broader challenge than current AI strategy typically accounts for A structural vocabulary for the global AI power landscape – particularly the dynamics between major US and Chinese technology actors – that simplifies a complex geopolitical issue for non-specialist leaders Familiarity with the Tech Trends methodology: how to scan, filter, and prioritise signals across a large and rapidly evolving technology landscape Practical frameworks for building a long-horizon foresight capability internally, rather than depending on periodic external consultancy

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

Why organisations work with Vijay Govindarajan The Three-Box Solution gives leadership teams a concrete operating model for the hardest resource allocation decision in strategy: how much of the organisation’s attention, talent, and capital belongs to managing the present, letting go of outdated practices, and building the future – simultaneously, with different disciplines for each. His 2009 HBR article «How GE Is Disrupting Itself,» co-authored with GE’s CEO Jeff Immelt, introduced reverse innovation to the management canon; Harvard Business Review later named it one of the Great Moments in Management in the Last Century – a designation that marks a genuinely new idea rather than a refinement of an existing one. Fusion Strategy (HBR Press, 2024) gives leaders of industrial and asset-heavy companies a specific strategic answer to the AI competitive threat – not a general AI primer, but a framework for how manufacturers, infrastructure operators, and physical-product businesses can fuse operational excellence with real-time data intelligence. He developed these frameworks inside a Fortune 10 company: as GE’s first-ever Professor in Residence and Chief Innovation Consultant (2008–2010), he applied the ideas under operational conditions alongside a sitting CEO – a form of proof that most strategy academics cannot point to. Inducted into the Thinkers50 Hall of Fame in 2019, and the only thinker to win Thinkers50 Distinguished Achievement Awards in two separate categories, VG’s standing in the field is independently credentialed – not a function of self-promotion. Biography highlights Coxe Distinguished Professor, Tuck School of Business, Dartmouth College – a Dartmouth-wide chair and the highest distinction awarded to Dartmouth faculty Inducted into the Thinkers50 Hall of Fame (2019); recipient of the Thinkers50 Distinguished Innovation Award (2019) and Breakthrough Idea Award (2011) – the only management thinker to win Thinkers50 Distinguished Achievement Awards in two categories Two-time McKinsey Award winner for best article in Harvard Business Review: «Engineering Reverse Innovations» (2015) and «Stop the Innovation Wars» (2010) Author of 15 books, including the New York Times and Wall Street Journal bestseller Reverse Innovation, The Three-Box Solution, and Fusion Strategy (HBR Press, 2024) First Professor in Residence and Chief Innovation Consultant at General Electric; former Marvin Bower Fellow at Harvard Business School Prior faculty at Harvard Business School, INSEAD (Fontainebleau), and the Indian Institute of Management Ahmedabad Inducted into the Academy of Management Journals’ Hall of Fame; HBR contributor with multiple all-time top-50 best-selling articles Biography Vijay Govindarajan has one central argument: that managing today’s performance and inventing tomorrow’s business require fundamentally different logic, and that running both inside one organisation is the hardest problem in strategy. His Three-Box Solution – now four decades in development at Dartmouth’s Tuck School of Business – gives executives a structural answer. Box 1 is the discipline of running the present core at peak efficiency. Box 2 is the harder discipline of letting go of practices, assumptions, and investments that made the organisation successful but will impede what comes next. Box 3 is the work of creating the future from genuinely non-linear ideas. The concept of reverse innovation, which VG introduced in his 2009 HBR article co-authored with GE’s CEO Jeff Immelt, extended this thinking to global strategy. Rather than adapting developed-world solutions for emerging markets, VG argued that innovation should begin in the developing world – where constraints force ingenuity – and then move upward. Harvard Business Review later named reverse innovation one of the Great Moments in Management in the Last Century. His most recent book, Fusion Strategy (HBR Press, 2024), addresses the AI disruption challenge directly – not in the abstract, but for a specific set of organisations. The three-quarters of global GDP produced by industrial and asset-heavy companies has yet to be transformed by digital technology. VG’s argument is that these companies must fuse their physical product strength with AI-powered, real-time data intelligence – or be eclipsed by digital-native rivals who will. It is the most commercially urgent application of his frameworks to date. VG served as GE’s first-ever Professor in Residence and Chief Innovation Consultant from 2008 to 2010, developing these ideas under operational conditions inside one of the world’s most complex industrial organisations. He is a two-time McKinsey Award winner in Harvard Business Review, a former Marvin Bower Fellow at Harvard Business School, and was inducted into the Thinkers50 Hall of Fame in 2019 – the only management thinker to receive Thinkers50 Distinguished Achievement Awards in two separate categories. Key speaking topics The Three-Box Solution: managing present, past, and future simultaneously Reverse innovation and emerging-market growth strategy Fusion Strategy: AI, real-time data, and the industrial competitive frontier Business model reinvention in established organisations Innovation execution inside large corporations Global strategy and cross-border competitive advantage Scenario planning and strategic foresight Ideal for CEOs and executive teams of established or asset-heavy industrial companies facing digital disruption Chief Strategy Officers and heads of corporate innovation managing tension between core business performance and growth investments Boards and senior leadership teams evaluating long-term portfolio strategy against near-term performance pressure Global organisations with significant emerging-market presence or expansion ambitions Audience outcomes A working understanding of the Three-Box Solution and how to apply its logic to their organisation’s specific resource allocation, governance, and portfolio decisions A clear framework for identifying which current practices are protecting value versus those quietly preventing the next phase of growth A strategic lens for evaluating how AI and real-time data can be fused with their company’s physical product or service base to generate competitive advantage Recognition of the specific organisational tensions – in staffing, structure, incentives, and culture – that prevent innovation from scaling inside established businesses Practical language for taking the strategy-versus-innovation conversation to board level with greater precision and less abstraction

Key speaking topics Artificial intelligence in business Leadership in technology-driven organisations Sales strategy and modern buying behaviour Collaboration and team performance Data-driven decision making Innovation and digital transformation Organisational learning and knowledge sharing Ideal for Sales and commercial leadership teams Senior executives leading digital or AI adoption Organisations navigating technology-driven change Corporate teams focused on collaboration and performance Audience outcomes Clearer understanding of how AI and data influence modern business strategy Practical perspectives on collaboration and knowledge sharing in organisations Insight into sales approaches aligned with contemporary buying behaviour Frameworks for leadership in technology-driven environments Broader context for innovation and organisational learning Why organisations work with Tim Sanders Combines experience as a technology executive with practical business research and writing. Connects themes of AI, leadership, collaboration, and sales to organisational performance. Brings perspectives shaped by work in the technology sector and enterprise platforms. Provides frameworks and insights that help leaders interpret and respond to technological change. Biography Tim Sanders is a business speaker and author whose work focuses on the practical implications of artificial intelligence, leadership, collaboration, and modern sales strategy. His perspective combines experience in technology companies with research and writing on how organisations adapt to technological and cultural change. He serves as Chief Innovation Officer at G2 and is an Executive Fellow at Harvard Business School’s Digital Data Design Institute. In these roles, his work centres on the intersection of data, AI, and business decision-making, helping organisations understand how emerging technologies influence performance, leadership, and competitive strategy. Earlier in his career, Sanders was a senior executive at Yahoo, where he served as Chief Solutions Officer. His experience during the rapid expansion of the internet economy was shaped by the Broadcast.com era and the wider technology sector during the dot-com period, providing first-hand insight into the evolution of digital business models. Alongside his corporate career, Sanders is the author of five business books including Love Is the Killer App, The Likeability Factor, Dealstorming, Today We Are Rich, and Saving the World at Work. His books Love Is the Killer App and The Likeability Factor were New York Times bestsellers and explore how relationships, collaboration, and knowledge sharing drive business success. Through his speaking and writing, Sanders brings together lessons from the technology sector, organisational leadership, and modern sales practice. His work helps leaders and teams understand how collaboration, data, and AI are reshaping the way organisations operate and compete.

Why organisations work with Tawfik Jelassi He has run digital transformation from three vantage points most speakers only write about: as an IMD professor teaching the OWP programme, as a national minister responsible for ICT policy, and as the UNESCO executive overseeing the global agenda on information and knowledge societies. His textbook Strategies for e-Business, now in its fourth edition with Springer, is used in business schools worldwide, which means his frameworks on value creation and digital business models are not improvised for the stage, they are stress-tested in classrooms. The policy lens is hard to replicate. On questions of AI governance, disinformation, platform regulation and digital inequality, he speaks from inside the UN system, not as an outside commentator. His case-writing record, recognised repeatedly by the European Foundation for Management Development, the Society for Information Management and the Case Centre, produces sessions anchored in named companies and decisions rather than abstractions. He moves credibly across corporate, government and multilateral audiences, which is what most digital and AI briefs now require when the room includes a regulator or a chief of staff. Biography highlights Professor of Strategy and Technology Management at IMD Business School; Co-Director of IMD’s flagship Orchestrating Winning Performance programme UNESCO Assistant Director-General for Communication and Information, 2021 to 2025 Former Minister of Higher Education, Scientific Research and ICT in Tunisia’s Jomaa government, 2014 to 2015 PhD in Information Systems, New York University (Stern); former faculty at INSEAD and Indiana University (Kelley); former Dean of the Business School at École des Ponts ParisTech Co-author of Strategies for e-Business, Springer, fourth edition Multiple case-writing awards from EFMD, SIM and the Case Centre; two Tunisian national decorations for service in education and science Biography Digital transformation is no longer a technology programme. It is a choice about the business model, the regulator’s next move, and the kind of society an organisation wants to operate in. Tawfik Jelassi’s authority comes from having run that choice at three levels at which most leaders only experience one. He teaches it at IMD as Professor of Strategy and Technology Management and Co-Director of Orchestrating Winning Performance, the institute’s largest executive programme. Before IMD, he spent thirteen years as Dean of the Business School at École des Ponts ParisTech, with earlier faculty posts at INSEAD and Indiana University’s Kelley School, and a PhD in Information Systems from NYU Stern. His case writing on digital business and technology management has been recognised repeatedly by the European Foundation for Management Development, the Society for Information Management and the Case Centre. The co-authored Springer textbook Strategies for e-Business is in its fourth edition. The second stream is policy. Jelassi served as Minister of Higher Education, Scientific Research and ICT in Tunisia’s post-revolution government under Prime Minister Mehdi Jomaa. From 2021 to 2025 he was UNESCO’s Assistant Director-General for Communication and Information, responsible for the organisation’s global programmes on freedom of expression, digital transformation, AI governance, information integrity and ICT in education. Few academics working on digital strategy have held the pen on multilateral regulation of the platforms they teach about. That dual vantage point is the point of the work. Jelassi can tell a board how a generative AI deployment looks from the inside of a UN agency drafting rules for it, and tell a ministry how a platform chief executive reasons about compliance. For organisations whose strategy now runs through regulation, geopolitics and public trust as much as technology, that is an unusually useful seat at the table. Key speaking topics Digital business transformation and value creation AI governance and platform regulation Leadership in technology-driven organisations Information integrity, trust and freedom of expression Inclusive knowledge societies and the digital divide Public-private cooperation on technology policy Ideal for CEOs and executive committees setting direction on digital and AI strategy in regulated industries Boards and chairs working through the governance implications of AI, data and platform policy Government, multilateral and public-sector leadership teams shaping national digital agendas International conferences and cross-sector forums where business, policy and civil society share a room Audience outcomes A clearer read of how digital and AI strategy is being reshaped by policy and multilateral regulation in real time Practical frameworks for evaluating digital business models and value creation, drawn from the Springer textbook used in business schools worldwide Specific reference points from named corporate cases and from inside UN and ministerial decision-making A more confident vocabulary for discussing trust, information integrity and the social licence of technology in boardroom terms

Why organisations work with Steven van Belleghem His Diamond in the Rough framework addresses a specific, documented paradox: Bain research shows 80% of CEOs consider their company customer-centric; only 8% of customers agree. Van Belleghem gives executive teams a precise diagnosis for this failure and a structured path out of it, not a motivation to try harder. His six books spanning the shift from social commerce (The Conversation Manager) through AI’s impact on customer relationships (Customers the Day After Tomorrow) to the execution problem (A Diamond in the Rough) mean audiences arrive with context. The keynote becomes a working session rather than a first exposure. His investor position in Hello Customer, an AI-driven customer experience platform, means his claims about AI and CX come from operational skin in the game, not conference-circuit commentary. He makes AI relevant to commercial and marketing leaders without requiring a technology background, situating AI investment specifically in terms of what it does to customer expectations and competitive differentiation. His thinking has been tested in front of organisations where customer experience is not an internal initiative but a revenue-critical priority: Disney, Mastercard, Heineken, Rabobank, Airbus and Salesforce are among his documented client base. Biography highlights Adjunct Professor of Marketing at Vlerick Business School; guest lecturer at London Business School Author of six international bestselling books on customer experience, including When Digital Becomes Human, Customers the Day After Tomorrow, The Offer You Can’t Refuse, and A Diamond in the Rough: over 150,000 copies sold in seven languages A Diamond in the Rough featured by Forbes as the #1 pick in its Top 10 must-read business books for 2024 Co-founder of Nexxworks, a global innovation and inspiration agency, and Snackbytes, a creative content agency Investor in Hello Customer (AI-driven CX platform) and iO Digital Board director of Plan International Belgium Clients include Disney, Mastercard, Heineken, Booking.com, Rabobank, Airbus, Salesforce and Google; regular keynote speaker at Oslo Business Forum Biography Research by Bain puts a number on one of the most persistent problems in commercial strategy: 80% of CEOs describe their company as customer-centric; only 8% of customers agree. Steven van Belleghem has spent twenty years studying that gap: why it exists, why it persists despite genuine investment, and what it actually takes to close it. His six books trace the problem across different phases of digital change. The Conversation Manager addressed the shift toward social and conversational commerce. When Digital Becomes Human made the case that automation, done right, creates more space for meaningful human contact, not less. Customers the Day After Tomorrow mapped how AI would reshape customer expectations before most organisations had an AI strategy to speak of. A Diamond in the Rough, recommended by Forbes as the #1 business book of 2024, takes the execution problem head-on: over 100 concrete actions for organisations that have the ambition but are stuck at the intention stage. Van Belleghem is Adjunct Professor of Marketing at Vlerick Business School and a guest lecturer at London Business School. He co-founded Nexxworks, an inspiration agency that runs global innovation tours for executive teams, and is an active investor in Hello Customer, an AI-driven customer experience platform. These are not decorative credentials, they place his arguments in direct contact with the operational realities he describes. His work is directly relevant to organisations facing a specific commercial pressure: AI is accelerating the baseline of what customers expect, and the companies that win on experience do so through culture and execution discipline, not technology spend alone. That argument has been made in front of audiences at Oslo Business Forum and tested with client organisations including Disney, Mastercard, Heineken, Rabobank, Airbus and Salesforce. Key speaking topics Customer experience strategy and execution Customer-centric culture and organisational behaviour AI and the future of customer relationships Digital transformation and competitive baseline The gap between CX ambition and CX delivery Long-term customer value and loyalty strategy Human experience in an automated world Ideal for Chief Marketing Officers and Chief Customer Officers leading experience transformation Commercial leadership teams where customer retention and loyalty are revenue-critical Executive and board-level audiences shaping digital and AI investment strategy Organisations that have invested in CX programmes and are not seeing the returns they expected Audience outcomes A specific framework for diagnosing the gap between customer-centric intention and customer-felt reality Clearer understanding of how AI is raising the competitive baseline for customer expectations – and what that means for strategy now Concrete, actionable steps for embedding customer culture at an organisational level, beyond the leadership team A reframe of digital investment: technology as a means to better human relationships, not a substitute for them A shared language for leadership teams to discuss CX execution failure without attributing it to effort or intent

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

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