Analyse de données

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 Neil Martin He built the probabilistic strategy modelling systems now used by more than half the current Formula One grid – not a commentator on F1 decision-making, but the person who changed how the sport models decisions under uncertainty. Two specific, named race outcomes are directly attributed to his calls: Red Bull Racing’s first Formula One win at the 2009 Chinese Grand Prix, and Räikkönen’s win at the 2005 Monaco Grand Prix – both the product of real-time probabilistic reasoning under extreme competitive pressure. He translates a specific, working methodology – Monte Carlo simulation and game theory applied to real-time competitive decisions – into frameworks organisations can use when multiple futures must be weighed against each other with no time to wait for certainty. His experience spans the full decision chain: building the analytical models, leading the strategy team live in the race, and managing the operational culture of teams working against non-negotiable deadlines with global coordination demands. As Co-Founder of PACETEQ GmbH, he continues to build and deploy competitive analytics tools across motorsport, which means his perspective is operational and current rather than retrospective. Biography highlights BSc in Mathematics with Computer Science and MSc in Operational Research, University of Southampton; MSc project on optimal pit-stop and refuelling strategies secured a full-time role at McLaren Racing Pioneered the application of Game Theory and Monte Carlo simulation to F1 race strategy at McLaren from 1998, replacing deterministic planning with stochastic models that could account for uncertain events in real time Team Leader of Operational Research at McLaren Racing; Chief Strategist at Red Bull Racing; Head of Operations Research and Strategy at Scuderia Ferrari (2011-2015) Strategic calls directly credited with Red Bull Racing’s first-ever Formula One win at the 2009 Chinese Grand Prix and Räikkönen’s victory at the 2005 Monaco Grand Prix Co-Founder of PACETEQ GmbH, an AI-powered motorsport analytics business; software originating from his work in active use across more than half the Formula One grid Covered in the Financial Times; featured speaker at the Gartner Data and Analytics Summit Biography Neil Martin joined McLaren Racing in 1996 to solve a specific problem: race strategy was being built on deterministic models that assumed a single most-likely future. He replaced those models with stochastic ones, applying Game Theory and Monte Carlo simulation to uncertain events. Traffic patterns, overtake probabilities, safety car timing – these could now be modelled, and strategy built around a range of probable outcomes rather than one. That shift produced verifiable results at the highest level. At the 2005 Monaco Grand Prix, Martin sent an email from McLaren’s Woking base instructing Räikkönen to stay out under a safety car; the call won the race. At the 2009 Chinese Grand Prix, as Red Bull Racing’s Chief Strategist, he kept both cars out in wet conditions when almost every competitor pitted. It was the team’s first-ever Formula One win – a 1-2 finish built on asymmetric risk reasoning under pressure. Martin joined Scuderia Ferrari in 2011 as Head of the newly created Operations Research department, brought in alongside Pat Fry to rebuild the team’s race operations. He left in 2015. Since then, he has founded Random Logic and co-founded PACETEQ GmbH, an AI-powered analytics business whose tools now run on more than half the current Formula One grid. For senior leaders, the argument is direct. Performance under pressure is not determined by the quantity of data available. It is determined by the quality of the frameworks used to act on it. Martin’s career is a proof of concept for what that discipline looks like when competitive stakes are at their highest. Key speaking topics Decision-making under uncertainty Probabilistic risk modelling Data-driven competitive strategy High-performance operations Risk management in live environments Marginal gains and continuous improvement Analytics-led performance optimisation Ideal for C-suite and senior strategy leaders making high-stakes decisions with incomplete data and competitive time pressure Risk, analytics, and data science functions seeking to operationalise probabilistic thinking across the organisation Boards and executive teams benchmarking their decision culture against elite performance environments Corporate conferences in financial services, technology, and professional services where data-driven decision-making is a strategic priority Audience outcomes A named conceptual shift: from deterministic “most likely scenario” planning to probabilistic mapping of multiple futures and their associated likelihoods Clarity on the conditions under which data produces better decisions, and the organisational habits that close the gap between having information and acting on it with confidence Specific, race-derived examples of asymmetric risk reasoning applicable to resource allocation, market entry, and competitive response decisions Practical understanding of how high-performance teams coordinate under non-negotiable deadlines without sacrificing analytical discipline A benchmark for what genuinely data-driven operational culture looks like when competitive stakes leave no margin for deterministic thinking

Why organisations work with Paddy Lowe He has industrialised winning at three Formula 1 constructors and can show, from inside the engineering room, how a championship operation actually allocates capital, talent and risk. He runs Zero Petroleum, the company behind the Guinness-verified first flight on 100 percent synthetic fuel, which gives him a working answer to the question of how aviation and motorsport decarbonise without waiting for batteries. His authority on energy transition is operational, not advocacy: a Fellow of the Royal Academy of Engineering speaking from a fuel plant, not a policy podium. He bridges the two conversations that boards now run in parallel, hard-edged engineering performance under pressure and the capital reality of net zero, which most speakers handle separately. Biography highlights 32 years in Formula 1 across Williams, McLaren and Mercedes; technical leadership behind cars that won 12 World Championships and 158 Grands Prix. Technical Director at McLaren, then Executive Director (Technical) at Mercedes during the team’s 2014 to 2016 dominance with Lewis Hamilton and Nico Rosberg. Co-founder and CEO of Zero Petroleum, a UK synthetic fuel company producing fossil-free drop-in fuels from atmospheric CO2 and renewable hydrogen. Holder of the Guinness World Record with the Royal Air Force for the first aircraft flight powered entirely by synthetic fuel, achieved at Cotswold Airport in November 2021. Fellow of the Royal Academy of Engineering, elected 2015. Engineering graduate of Sidney Sussex College, Cambridge, and Honorary Fellow of the College. Biography Mercedes won 51 of 59 Grands Prix between 2014 and 2016. Paddy Lowe was the Executive Director responsible for the technical organisation that made that possible, after a decade as Technical Director at McLaren and an earlier career at Williams developing the active suspension that delivered the 1992 titles. Three constructors, twelve World Championships, one common pattern: an engineering culture built to convert money and time into measurable performance under public scrutiny. That track record is the credential. The substantive work he now talks to boards about is different. In 2020 he co-founded Zero Petroleum, a synthetic fuel company that combines atmospheric carbon dioxide with renewable hydrogen to produce fossil-free, drop-in liquid fuels. The point is not laboratory novelty. The point is that aviation, motorsport, shipping and the global classic vehicle base will run on hydrocarbons for decades, and decarbonising them needs molecules, not only electrons. The proof exists. In November 2021, Zero Petroleum and the Royal Air Force flew an aircraft on 100 percent synthetic fuel and were awarded a Guinness World Record for the first such flight. Formula 1 has since committed to fully sustainable fuels, and Lowe has been a public technical voice in the policy conversation around how that transition is engineered and financed. For a senior buyer, the value is operational specificity. He explains how engineering organisations win against deadlines, how data and simulation reshape decision-making at the top of an organisation, and what it actually takes, in capital, regulation and supply, to move a heavy industry off fossil fuel. Key speaking topics Synthetic fuels and the energy transition in aviation, motorsport and heavy transport Net zero strategy beyond electrification Engineering performance under competitive pressure Data-led decision making in high-stakes operations Innovation and R&D leadership in regulated industries Lessons from Formula 1 championship organisations Ideal for Boards and executive teams in aviation, automotive, energy and industrial groups facing a credible decarbonisation deadline CTOs, Chief Sustainability Officers and Heads of R&D scoping practical low-carbon liquid fuel pathways Strategy and transformation leads benchmarking high-performance engineering cultures Investor days, supplier summits and policy forums where the audience needs a working voice on the energy transition Audience outcomes A clearer view of how aviation, motorsport and other liquid-fuel sectors can decarbonise without waiting for full electrification A working sense of how a Formula 1 technical organisation converts data, simulation and capital into repeatable performance A sharper read on which net zero claims are engineered and financed, and which are still rhetorical Specific examples of what it takes, in regulation, supply chain and certification, to move a synthetic fuel from prototype to commercial flight

Why organisations work with Peter Field His IPA Effectiveness Databank analysis – spanning over 1,000 campaigns, 80+ categories, and 30 years – gives senior marketers an empirical base for budget decisions that no internal dataset can match in scale or authority. The 60:40 principle he co-established with Les Binet is now the dominant reference point for CMO-level investment decisions globally; organisations use it to resist short-term pressure from finance and hold the case for brand building with the board. His 2019 Crisis in Creative Effectiveness report – showing that creatively-awarded campaigns had lost their effectiveness advantage entirely due to short-termism – gives marketing leaders the evidence to argue for sustained creative investment rather than disposable activation. The Creative Effectiveness Ladder, co-developed with James Hurman for Cannes Lions and WARC, gives organisations a practical evaluation tool for assessing the long-term ambition of creative work before it runs. His extension of effectiveness principles into B2B – The Five Principles of Growth in B2B Marketing – fills an empirical gap that most B2B marketing leaders have had to navigate without equivalent guidance. Biography highlights Cambridge graduate; 15 years as a strategic planner at advertising agencies including BMP (later part of the DDB network) Co-author with Les Binet of the IPA Effectiveness Databank series: Marketing in the Era of Accountability (2007), The Long & The Short of It (2013), Media in Focus (2017), Effectiveness in Context (2018) Author of The Crisis in Creative Effectiveness (IPA, 2019) – analysing 24 years of data on the declining relationship between creative awards and business outcomes Co-author with James Hurman of The Effectiveness Code (Cannes Lions/WARC, 2020), which produced the Creative Effectiveness Ladder framework Honorary Fellow of the UK Institute of Practitioners in Advertising Regular keynote speaker at the Cannes Lions Festival of Creativity, IPA EffWeek, and WARC Sessions Biography Marketing measurement has a structural flaw: the channels easiest to measure in real time are the ones least suited to building durable growth. Peter Field has spent 25 years making that argument with evidence – the IPA Effectiveness Databank, a repository of independently verified advertising effectiveness data spanning more than three decades. With Les Binet, Field co-authored the series of IPA Effectiveness Databank reports that set the empirical terms for decisions about budget allocation, media strategy, and creative investment. The Long and the Short of It (2013) established the 60:40 principle: most organisations systematically under-invest in brand building relative to short-term activation. Long-term emotional campaigns, the data showed, generate roughly double the profit of short-term approaches. The series has been cited in over 70 international academic publications and textbooks. Field’s solo research extended these findings into the relationship between creativity and effectiveness. The Crisis in Creative Effectiveness (IPA, 2019) revealed that creatively-awarded campaigns had become no more effective than non-awarded ones – the first time in 24 years of data – driven by the industry’s shift toward short-term activation work. His co-authored Creative Effectiveness Ladder, developed with James Hurman for Cannes Lions and WARC, provides a practical framework for evaluating the long-term ambition of creative work before it runs. A Cambridge graduate and former strategic planner at BMP, Field is an Honorary Fellow of the UK Institute of Practitioners in Advertising. His research has been presented at Cannes Lions, WARC Sessions, and IPA EffWeek, and has shaped how CMOs, CFOs, and boards across the world evaluate the returns on marketing investment. Key speaking topics Marketing effectiveness and budget allocation Long-term brand building vs. short-term sales activation Creative effectiveness and the business case for creativity Measurement, metrics, and the limits of digital attribution Brand growth and pricing power B2B marketing effectiveness Evidence-based commercial strategy Ideal for CMOs and senior marketing leaders under short-term commercial pressure from CFOs or boards CFOs and CEOs seeking an empirical framework for evaluating marketing investment decisions Brand and creative strategy leads making the case for long-term creative ambition internally B2B marketing directors who have lacked an effectiveness evidence base equivalent to B2C Audience outcomes A clear, evidence-based framework for allocating budget between brand building and short-term activation – grounded in 30+ years of campaign data A working understanding of why short-term digital metrics can systematically mislead commercial decision-making The analytical language to present the commercial case for brand investment to a CFO or board Practical criteria for evaluating whether a creative strategy is built for long-term effectiveness or short-term efficiency Awareness of how the Five Principles of Growth in B2B Marketing translate consumer effectiveness evidence into B2B strategy

Why organisations work with Raffaello D’Andrea He has built two commercially-deployed autonomous systems from the ground up – Kiva Systems, now the architecture powering over a million Amazon Robotics units across 300+ facilities, and Verity, whose autonomous indoor drones operate at nearly 200 sites worldwide. Most technology speakers have observed others build at scale; D’Andrea has done it twice. His account of the gap between academic research and industrial deployment is not speculative. He moved from Cornell professor to co-founder to chief technical advisor to ETH faculty, and back to founder again – carrying hands-on engineering responsibility at every stage. That trajectory gives organisations a rare, inside view of what makes autonomous systems fail or succeed in practice. The Kiva story – a $775M acquisition that became the operational backbone of the world’s largest e-commerce company – is a fully documented, publicly available case study in redesigning an entire industry’s logistics model around autonomous systems. D’Andrea can speak to that case from the inside, as the architect of the core system. His ongoing research at ETH Zurich, through platforms like CyberRunner, Cubli and the Flying Machine Arena, sits at the frontier of autonomous learning and control. Audiences hear what is actually being solved in research today, not what is being forecast by analysts. Elected to the National Academy of Engineering, inducted into the National Inventors Hall of Fame for the Kiva system, and recognised by the Logistics Hall of Fame – D’Andrea holds formal peer recognition across engineering, invention and industry simultaneously, a combination that is rare among technology speakers. Biography highlights Professor of Dynamic Systems and Control, ETH Zurich; founder of ETH’s Institute for Dynamic Systems and Control Co-founder of Kiva Systems, acquired by Amazon in 2012 and now operating as Amazon Robotics, the autonomous fulfilment system at the core of Amazon’s global warehouse operations Founder and CEO of Verity, autonomous indoor drone company deployed at nearly 200 sites worldwide, with clients including IKEA, Maersk and UPS Elected member, National Academy of Engineering (2020); National Inventors Hall of Fame inductee (2022); Logistics Hall of Fame inductee (2024) IEEE Fellow; IEEE Robotics and Automation Award (2016); Engelberger Robotics Award (2015); Presidential Early Career Award for Scientists and Engineers (2001); named on more than 40 US patents TED Global 2013 and TED 2016 speaker; TED and research videos with tens of millions of views New media artworks held in the permanent collections of the National Gallery of Canada and France’s FRAC Centre; exhibited at the Venice Biennale Biography The systems running inside Amazon’s warehouses today – more than a million autonomous robots across over 300 facilities – trace their core architecture directly to Raffaello D’Andrea. As co-founder of Kiva Systems, D’Andrea designed the navigation logic, fleet coordination algorithms and adaptive control systems that made warehouse automation economically viable at commercial scale for the first time. When Amazon acquired Kiva in 2012, it rebranded the company as Amazon Robotics and made it the operational foundation of its global fulfilment network. That work was built on a research track record with real competitive stakes. Before Kiva, D’Andrea was at Cornell University, where he led the Robot Soccer Team to four consecutive RoboCup world championships – using autonomous multi-agent competition as a proving ground for the kinds of coordination and real-time decision-making that large-scale robotics deployments require. The move from academic research to commercial deployment, and back to academic research, is the defining pattern of his career. At ETH Zurich, where he founded the Institute for Dynamic Systems and Control, D’Andrea leads research through hands-on experimental platforms – CyberRunner, Cubli, the Flying Machine Arena, the Distributed Flight Array – that probe the real limits of autonomous learning, not its theoretical promise. In 2014, he co-founded Verity, whose autonomous indoor drone systems now operate at nearly 200 sites worldwide, automating inventory tracking and operational data collection for clients including IKEA, Maersk and UPS. The company raised a $43M Series B in 2023 with Qualcomm Ventures among the investors. Elected to the National Academy of Engineering and inducted into both the National Inventors Hall of Fame and the Logistics Hall of Fame, D’Andrea holds formal peer recognition across engineering, invention and industry – a combination that reflects a career built on closing the distance between what autonomous systems can do in a laboratory and what they can sustain across an industrial operation. Key speaking topics Autonomous systems design and commercial-scale deployment AI, machine learning and physical intelligence Warehouse automation and supply chain operations Deep-tech entrepreneurship and venture building Autonomous flight and drone systems The gap between robotics research and real-world application The future of human-machine collaboration in physical operations Ideal for COOs, heads of supply chain and logistics leaders evaluating or scaling autonomous operations CTOs and technology leadership teams making investment decisions in robotics and AI deployment Boards and executive committees setting autonomous systems strategy Innovation and transformation leadership forums focused on operational technology Audience outcomes A practitioner’s framework for distinguishing autonomous systems that create genuine operational value from those that stall between proof of concept and deployment Concrete understanding of the systems design conditions that make robotics reliable and economically viable at industrial scale An insider account of how Kiva Systems redesigned warehouse operations – and what that process reveals about the real requirements of large-scale autonomous deployment A more accurate picture of where AI and robotics are heading, grounded in what is already working at commercial scale rather than in market speculation Sharper criteria for evaluating autonomous technology partnerships, vendor claims and investment priorities

Why organisations work with Rasmus Ankersen He has actually built the model he talks about. As chairman of FC Midtjylland, the club won three Danish Superliga titles using a data-led recruitment and set-piece method that was later studied across European football. His book The Gold Mine Effect is grounded in seven months of field research inside the world’s most productive talent ecosystems, from Brazilian football academies to Ethiopian distance running, not a desk study of secondary literature. Through Sport Republic, he runs a multi-club investment platform now controlling Southampton FC and Goztepe SK, so the lens on capital allocation, scouting markets and downside management is operational, not theoretical. He gives boards a vocabulary for the awkward conversation about success: how organisations stop learning the moment results turn positive, and what to do about it before the next cycle. Biography highlights Co-founder and CEO of Sport Republic, owner of Southampton FC and majority owner of Goztepe SK. Co-director of football at Brentford FC, 2015 to 2020, the platform that produced Premier League promotion in 2021. Chairman of FC Midtjylland during a period that included Danish Superliga titles in 2015, 2018 and 2020. Author of The Gold Mine Effect (Icon Books, 2012) and Hunger in Paradise (2016). TEDxManchester speaker on football analytics applied to organisational decision-making. Has delivered keynotes for LEGO, Google, Facebook, Microsoft, Boston Consulting Group, Roche, AstraZeneca, Coca-Cola and Cisco. Biography Brentford were a mid-table Championship club when Matthew Benham, Rasmus Ankersen and a small analytics team set out to build a Premier League squad without Premier League money. The same logic was applied at FC Midtjylland in Denmark. Both clubs went on to win, repeatedly, against opponents with bigger budgets and longer histories. That track record is the foundation of Ankersen’s argument to corporate audiences. The bias to overvalue established names and undervalue evidence is not a football problem. It is a recruiting problem, a capital allocation problem, and a strategy problem. His book The Gold Mine Effect, published in 2012 after seven months living inside elite training environments from Kenya to Brazil, makes the case that performance hotbeds are produced, not discovered. His second book, Hunger in Paradise, takes the harder question. Why do successful organisations stop learning. He frames complacency as the silent failure mode of a winning strategy, and argues that the work of leadership is to keep the system honest after the results turn good. The thesis has resonated with senior teams at LEGO, Google, BCG, Roche and others who have brought him in. Today he runs Sport Republic, the investment vehicle that acquired Southampton FC in 2022 and now operates a multi-club model across England, Turkey and Belgium. The day job means his frameworks are tested in real time, against real capital, in one of the most ruthless performance markets there is. Key speaking topics High-performance culture Talent identification and development Data-driven decision-making Avoiding complacency in successful organisations Performance environments and ecosystems Lessons from elite sport for business Leadership and decision-making under pressure Ideal for CEOs and executive teams in scaled organisations entering a new performance cycle CHROs and talent leaders rebuilding recruitment and assessment models Strategy and corporate development leaders responsible for capital allocation and M&A Boards examining why a winning strategy is starting to plateau Audience outcomes A sharper view of where the organisation is overpaying for proven names and underinvesting in evidence. A working definition of complacency that can be diagnosed in the business, not just lamented. Concrete examples of how data and judgement combine in high-stakes decisions, drawn from Brentford, Midtjylland and Southampton. A reframing of what a “performance environment” is, and why most attempts to import one fail.

Why organisations work with Sabrina Faramarzi She has written trend reports for The Future Laboratory, Stylus and Canvas8, three of the most-used forecasting houses in consumer strategy, so brand teams get a forecaster who knows how the foresight industry actually works inside. Her sector range covers travel, beauty, fashion, food and drink, wellbeing, money, tech, retail and media, which means a single speaker can address an audience drawn from several consumer-facing categories without losing specificity. She runs Are We Europe, a cross-border editorial operation, so she brings a pan-European read on culture and audience behaviour rather than a default Anglo-American lens. Her data storytelling practice through Dust in Translation is built for organisations that have research and data assets but cannot make them land with a non-technical audience. Biography highlights Managing Director, Are We Europe, a non-profit pan-European media collective. Founder and Editorial Director, Dust in Translation, a creative data storytelling agency. Co-founder, Feminist Internet, a non-profit advancing internet equality through creative practice. Trend reports written for The Future Laboratory, Stylus and Canvas8. Journalism contributions to The Guardian, Wired, Vice and Vogue Business. BA (Hons) First Class in Trend Prediction and Forecasting, University of East London; MA with Distinction in Journalism, University of the Arts London. Biography Most consumer trend conversations in the boardroom collapse into one of two failure modes. They either treat every TikTok spike as a strategic shift, or they ignore weak signals until a competitor has already built around them. Sabrina Faramarzi works in the gap between those two errors. Her practice is reading consumer and cultural signals well enough to tell a brand team which ones to bet on. She has the technical training for it. A First Class degree in Trend Prediction and Forecasting from the University of East London, an MA with Distinction in Journalism from the University of the Arts London, and a working track record writing trend reports for The Future Laboratory, Stylus and Canvas8. That is the inside of the foresight industry, not a commentator’s view of it. The journalism work runs alongside the forecasting. Bylines in The Guardian, Wired, Vice and Vogue Business cover gender, AI, digital rights and internet culture, and that editorial muscle is what lets her translate research into stories that boards and marketing teams actually use. Through Dust in Translation, her data storytelling agency, she does the same job for organisations sitting on data they cannot make legible. She also runs Are We Europe, a non-profit pan-European media collective, and co-founded Feminist Internet. Both give her something most trend speakers do not have: a structural view of how cultural narratives form and travel across borders, which is the part of trend work that matters most when a category is being reshaped rather than refreshed. Key speaking topics Consumer trend forecasting Data storytelling Internet culture and online communities Futures of consumer-facing industries Gender, AI and digital ethics Cross-border European media and audiences Ideal for CMOs, brand directors and category leads in consumer-facing businesses planning the next 18 to 36 months. Innovation and insights teams looking for an outside read on which signals to commit to. Communications and content leaders who need research and data turned into audience-ready stories. Conferences in travel, hospitality, beauty, fashion, food and drink, retail and media that want a sector-specific futures keynote. Audience outcomes A clearer sense of which consumer signals in their category are durable and which are noise. Working language for telling stories with data so research lands with non-technical audiences. A sharper read on how online communities form, mobilise and shape brand reputation. Sector-specific cues for where to look for the next category shift in travel, beauty, fashion, food, retail or media.

Why organisations work with Sandra Wachter Her Counterfactual Explanations framework – co-developed at Oxford and adopted in production by Google, IBM, Microsoft, Accenture, and Vodafone – gives organisations a legally defensible method for explaining algorithmic decisions to the individuals they affect, not just to internal audit teams. Her Conditional Demographic Disparity (CDD) bias test demonstrated that 13 of 20 widely used bias detection tools fail EU non-discrimination standards. Amazon and IBM implemented CDD in their cloud services; it was deployed in 2024 to expose systemic bias in the Dutch national education system, resulting in a ministerial apology and formal reform. She works at the precise intersection of legal standards and technical metrics – meaning she can tell risk and compliance teams not only what accountability requires but how to measure whether systems actually deliver it. As a member of the European Parliament Working Group on AI Liability and the World Bank Task Force on Access to Justice and Technology, she tracks how regulatory frameworks are being written in real time, giving organisations visibility into requirements before they become mandatory. Her research has shifted institutional practice at the NHS and MHRA, which are revising medical device licensing standards using her findings on the unintended consequences of common group fairness measures – a concrete precedent for how her work moves from publication to policy. Biography highlights Professor of Technology and Regulation, Oxford Internet Institute, University of Oxford; Humboldt Professor of Technology and Regulation, Hasso Plattner Institute Leads the Governance of Emerging Technologies (GET) Research Programme at Oxford Co-developer of Counterfactual Explanations (now deployed by Google, IBM, Microsoft, Accenture, and Vodafone) and the Conditional Demographic Disparity (CDD) bias test (implemented by Amazon and IBM; applied in the Netherlands education reform, 2024) Published in Science Robotics, Nature Electronics, and Nature Reviews Physics; cited over 20,000 times (Google Scholar) Alexander von Humboldt Foundation Research Award (2025, €3.5M); O2RB Excellence in Impact Award (2018, 2021); Computer Weekly Women in UK Tech Award (2021); Privacy Law Scholar Award (2019); CognitionX AI Ethics Award (2017, 2023) Policy roles: European Parliament Working Group on AI Liability; World Bank Task Force on Access to Justice and Technology; WEF Global Futures Council on Values, Ethics and Innovation; UNESCO; UK Police Ethics Guidance Group Previously Visiting Professor, Harvard Law School; Research Fellow, The Alan Turing Institute Media profiles in the Financial Times, Wired, New York Times, BBC,Guardian, Harvard Business Review, Reuters, Time Magazine, and MIT Technology Review Biography Sandra Wachter is Professor of Technology and Regulation at the University of Oxford’s Oxford Internet Institute and Humboldt Professor at the Hasso Plattner Institute. She leads Oxford’s Governance of Emerging Technologies Research Programme – work that sits not in the space of ethical aspiration but in the harder territory of legal standards and technical verification. The tools her research has produced are in use at scale. The Counterfactual Explanations framework she co-developed is deployed in production by Google, IBM, Microsoft, Accenture, and Vodafone. Her Conditional Demographic Disparity (CDD) bias test – built after demonstrating that 13 of 20 commonly used bias tools fail EU non-discrimination law – was adopted by Amazon and IBM in their cloud services. In 2024, CDD was used to expose systemic bias in the Dutch national education system; the Dutch Minister of Education apologised and initiated formal reform. The NHS and MHRA have revised their medical device licensing practices using her findings on the consequences of widely applied group fairness measures. Her publications appear in Science Robotics, Nature Electronics, and Nature Reviews Physics, and she has been cited over 20,000 times. Awards include the Alexander von Humboldt Foundation Research Award (2025, €3.5M), the O2RB Excellence in Impact Award (2018, 2021), the Privacy Law Scholar Award (2019), and the CognitionX AI Ethics Award (2017, 2023). She sits on the European Parliament Working Group on AI Liability, the World Bank Task Force on Access to Justice and Technology, the WEF Global Futures Council on Values, Ethics and Innovation, and the UK Police Ethics Guidance Group, and was previously Visiting Professor at Harvard Law School. For boards and risk leaders, her most immediate value is diagnostic: the gap between what organisations say their AI governance achieves and what the regulatory and technical evidence supports is larger than most assume. She has spent a decade building the instruments to measure that gap precisely. Key speaking topics AI governance and regulation Algorithmic accountability and explainability Algorithmic bias and non-discrimination law Generative AI and legal liability The EU AI Act and regulatory compliance Profiling, inferential analytics, and data protection Platform regulation and internet governance Ideal for Boards and C-suite teams making AI adoption and governance commitments Chief Data Officers and technology leadership teams designing accountability frameworks Legal, compliance, and risk leaders responsible for AI deployment decisions Public sector and regulatory audiences shaping AI policy and standards Audience outcomes A clear-eyed assessment of where current AI governance practices fall short of EU and UK legal standards – and why common assumptions about bias testing are insufficient Practical grounding in legally defensible tools for explainability and bias measurement, including frameworks already adopted by major technology companies Informed foresight into how the EU AI Act and emerging AI liability frameworks will affect deployment requirements Understanding of how generative AI creates specific new liabilities around hallucination, misinformation, and the emerging legal question of AI truthfulness The ability to distinguish between stated accountability commitments and governance that can withstand external scrutiny

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

Why organisations work with Theresa Payton She has held the most accountable technology seat in the world – not as an adviser, but as the operator responsible for securing the Executive Office of the President. That is a different class of credential from the vendor or think-tank backgrounds most cybersecurity speakers bring. Her book Manipulated – on The Guardian’s Top 10 Books About Cybercrime list, maps the specific mechanics of AI-driven disinformation, deepfakes, and election interference; organisations working on trust, governance, or brand integrity get a strategic framework they can act on. As a patented inventor of security designs and co-founder of a cybersecurity product company (Dark3, acquired by Celerium), she brings the practitioner’s perspective, not the theorist’s: she has built the solutions, not just described the problem. She translates threat intelligence into board-level language. Her seventeen years across banking technology, government, and private advisory work means she can speak credibly to risk committees, technology leaders, and general business audiences in the same event. Biography highlights First female White House Chief Information Officer, serving under President George W. Bush, 2006–2008 Founder and CEO of Fortalice Solutions, ranked in the Global Cybersecurity Top 500 by Cybercrime Magazine Prior senior technology executive roles at Bank of America and Wells Fargo Author of Manipulated: Inside the Cyberwar to Hijack Elections and Distort the Truth, The Guardian Top 10 Books About Cybercrime list; revised edition published 2024 Co-inventor on an approved U.S. patent in security design Recipient of the FBI Director’s Award for Community Service; 2020 CISO MAG Cybersecurity Crusader of the Year; 2019 Woman Cybersecurity Leader of the Year Starred as Deputy Commander of Intelligence on the CBS reality series Hunted Regular security commentator on the Today Show, Good Morning America, CNN, CBS News, Fox News, and MSNBC Biography Theresa Payton ran cybersecurity for the White House. From 2006 to 2008, as Chief Information Officer for the Executive Office of the President under George W. Bush, she was accountable for the security of IT systems used by the President and 3,000 staff: not as an adviser, but as the person responsible. Before that, she spent sixteen years in senior technology roles at Bank of America and Wells Fargo. The combination is unusual: operational authority at the highest level of government, built on a banking technology foundation. That background shapes how she approaches cyber risk with corporate audiences. The question she puts to boards is not whether their organisation will face a breach, but whether their governance structures are designed to know about it, act on it, and contain it. As CEO of Fortalice Solutions, listed in the Global Cybersecurity Top 500, she has spent fifteen years working through exactly that question with Fortune 100 clients. Her book Manipulated, named one of The Guardian’s Top 10 Books About Cybercrime, examines how AI-generated deepfakes, self-replicating chatbots, and coordinated disinformation campaigns are used to compromise institutions from the outside in. A revised edition was published in 2024. She is also a co-inventor on an approved U.S. patent in security design, and previously co-founded Dark3, a cybersecurity product company later acquired by Celerium. Her profile extends beyond the conference circuit. She has testified before government bodies, served as Deputy Commander of Intelligence on the CBS series Hunted, and is a regular security analyst on networks including CNN, CBS News, and MSNBC. For organisations where the board genuinely needs to understand what it owns and what it is exposed to, she is one of the few speakers who has actually sat in that seat. Key speaking topics Cybersecurity governance and board-level risk AI-driven threats and deepfake manipulation Secured digital transformation Election security and information integrity Data privacy and digital identity Fraud and social engineering Cybersecurity leadership and workforce Ideal for Boards and non-executive directors navigating cyber and AI governance CISOs, CIOs, and CTOs developing organisation-wide security strategy Risk, compliance, and audit committees in regulated sectors Technology and transformation leaders in financial services, healthcare, and government-adjacent industries Audience outcomes A board-ready framework for assessing the gap between digital investment and security governance Practical understanding of how AI-driven threats – deepfakes, disinformation, autonomous attack tools – operate in practice, not just in theory Clearer accountability structures for cyber risk at executive level Awareness of the specific ways social engineering and fraud are evolving, with concrete defensive steps Language and framing to take cybersecurity from a technical department concern to a strategic leadership conversation

Why organisations work with Tim Harford Translates economic and statistical research into commercial decisions, drawing on a Financial Times column that has run for nearly two decades and a body of ten published books. Brings credibility on numbers that very few speakers can match: Honorary Fellow of the Royal Statistical Society and OBE for services to economic understanding. Reframes innovation as an evidence-based discipline grounded in adaptation and failure, the central thesis of “Adapt” and “Messy”, rather than the usual creativity rhetoric. Equips senior audiences to interrogate their own data culture using the rules from “How To Make The World Add Up”, a practical antidote to misleading statistics inside organisations. Trusted as a host, moderator and after-dinner speaker by serious audiences because his radio craft on “More or Less” and “Cautionary Tales” carries directly into the room. Biography highlights Senior columnist, Financial Times, writing “The Undercover Economist”. Presenter, BBC Radio 4’s “More or Less”, the long-running statistics-in-the-news programme. Host of “Cautionary Tales”, a Pushkin Industries podcast, and creator of “Fifty Things That Made The Modern Economy”. Author of ten books, including “The Undercover Economist”, “Adapt”, “Messy”, “How To Make The World Add Up” and “The Truth Detective”. Honorary Fellow of the Royal Statistical Society and of Brasenose College, Oxford; Associate Member of Nuffield College, Oxford. OBE for services to Improving Economic Understanding; winner of the Bastiat Prize (twice), the Wincott Journalist of the Year award, and the Royal Statistical Society award for journalistic excellence. Biography Most organisations claim to be evidence-led. Few are. Decisions are framed in numbers but driven by narrative, and innovation programmes routinely refuse to learn from the failures that contain the most useful information. Harford’s work, across the Financial Times column, ten books and two long-running BBC and Pushkin productions, has been built around exactly that gap. His books map the intellectual territory leaders care about. “The Undercover Economist” reframed everyday markets through the lens of price, scarcity and incentive, and has sold more than 1.5 million copies in thirty languages. “Adapt” and “Messy” argue that progress depends on disciplined trial, error and tolerance for disorder, a more honest account of innovation than most corporate playbooks allow. “How To Make The World Add Up” gives senior audiences a practical method for testing the numbers they are asked to act on. The credentials behind that work are unusual. Honorary Fellow of the Royal Statistical Society, Associate Member of Nuffield College Oxford, an OBE for services to economic understanding, and a body of awards from the Bastiat Prize to the Wincott. As presenter of BBC Radio 4’s “More or Less”, Harford has spent years publicly stress-testing the statistics that shape policy and business commentary, which makes him one of the few speakers who can hold a senior room on data culture without resorting to platitudes. For boards and leadership teams, the value is concrete. Sharper questions about innovation portfolios, a working method for separating signal from noise, and a more honest model of how organisations actually learn. The recent “Cautionary Tales” series, which dissects high-profile organisational failures, has become a reference point for leaders thinking seriously about how decisions go wrong. Key speaking topics Behavioural economics in commercial decision-making Innovation, adaptation and learning from failure Statistical literacy and data culture in organisations Economic forces shaping business and policy Creativity, disorder and team productivity Cognitive bias and judgement under uncertainty Ideal for Boards and executive committees confronting decisions where the numbers are contested Strategy, innovation and R&D leaders building portfolios under uncertainty CFOs and finance functions reviewing how evidence is presented and challenged internally Senior leadership offsites where the brief calls for serious intellectual content with broad relevance Audience outcomes A working method for interrogating statistics and management dashboards before acting on them A clearer model of innovation as managed trial and error, with practical implications for portfolio choice Sharper recognition of the cognitive errors that recur in senior decision-making Concrete references from “Cautionary Tales” and “More or Less” that audiences can use to reframe their own debates

Why organisations work with Tim Ringo A practitioner thesis on productivity, not a survey of the field. Solving the Productivity Puzzle won the HR & Management category at the Business Book Awards because it sets out a specific operating model for connecting engagement, performance and learning, rather than describing the problem. Three decades inside the firms that built the modern HR function: Accenture, IBM and SAP SuccessFactors, including global leadership of IBM’s 1,500-strong Human Capital Management consulting practice and EMEA leadership at SAP SuccessFactors. A rare combination of HR strategy and workforce analytics credentials, evidenced by Calculating Success, his Harvard Business Review Press book on workforce analytics co-authored with Carl Hoffmann and Eric Lesser. Recognised peer authority: named to HR Magazine’s Most Influential HR Thinkers list in 2022, alongside the people the audience is reading. A working point of view on AI in the workplace from someone who has run global HR technology programmes, not a commentator new to the topic. Biography highlights Named to HR Magazine’s HR Most Influential Thinkers, 2022. Author, Solving the Productivity Puzzle (Kogan Page); Category Winner, HR & Management, Business Book Awards. Co-author, Calculating Success (Harvard Business Review Press), on workforce analytics. Former Vice President and Global Leader, IBM Human Capital Management consulting practice. Former Vice President for EMEA, SAP SuccessFactors. Chartered Fellow of the CIPD; BSc, Fisher College of Business, The Ohio State University. Biography Most large organisations now spend more on HR technology, engagement programmes and learning platforms than at any point in their history. Productivity has not followed. Tim Ringo’s work begins where that gap sits, and treats it as a design problem inside the people function rather than a cultural mood. His 2020 book Solving the Productivity Puzzle, published by Kogan Page, won the HR & Management category at the Business Book Awards. The argument is operational: engagement, performance management and learning have to be wired together, and supported by analytics, before any productivity number moves. His earlier book with Carl Hoffmann and Eric Lesser, Calculating Success, was published by Harvard Business Review Press and helped to define what serious workforce analytics looks like inside an enterprise. The credibility behind the work is built over three decades. Ringo led IBM’s global Human Capital Management consulting practice, with more than 1,500 consultants worldwide, ran SAP SuccessFactors HR advisory across Europe, the Middle East and Africa, and spent sixteen years as an executive partner in Accenture’s Human Performance service line. He is a Chartered Fellow of the CIPD and was named to HR Magazine’s Most Influential HR Thinkers list in 2022. For senior HR audiences, that mix is unusual. Ringo can move from a board conversation about AI in the workforce to a working session on engagement metrics or HR technology investment, and bring the same operating language to both. His view on generative AI at work is a practitioner’s view, formed inside the systems that the rest of the function relies on. Key speaking topics Workforce productivity and engagement Digital HR transformation Workforce analytics Generative AI in the workplace Employee experience and retention Workforce wellbeing strategy HR technology investment Ideal for CHROs, CPOs and HR directors leading productivity, engagement or HR technology agendas Executive teams reviewing return on HR technology and workforce analytics investment HR leadership conferences, CHRO summits and people analytics events Boards considering the workforce implications of generative AI Audience outcomes A clearer view of where productivity is actually lost inside the organisation, and which HR levers move it. A working model for connecting engagement, performance and learning to business outcomes. A practical sense of what good workforce analytics looks like, and what most organisations are still missing. An informed perspective on how to introduce generative AI to the workforce without losing trust or governance.