Artificial Intelligence & Generative AI

Why organisations work with Olivier Sibony He co-authored Noise with Daniel Kahneman and Cass Sunstein, which means a board hears the original behavioural science argument from one of the people who built it, not a secondhand interpretation. Twenty-five years at McKinsey, including running the Global Corporate Strategy Practice, gives him a working vocabulary for the actual decisions executive committees argue about: portfolio bets, M&A, market entry, capital allocation. His framework converts cognitive bias from an interesting concept into a procurement question: what does your decision architecture look like, and which specific traps does it fail to catch. He is one of a small group who can sit in a HEC Paris and Saïd Business School classroom and a CEO’s strategy offsite in the same week, and translate without losing either audience. Biography highlights Co-author of Noise: A Flaw in Human Judgment with Daniel Kahneman and Cass R. Sunstein, New York Times and Sunday Times bestseller Author of You’re About to Make a Terrible Mistake!, winner of the 2019 Manpower Foundation Grand Prize for best management book Professor of Strategy at HEC Paris and Associate Fellow at Saïd Business School, University of Oxford Senior Partner at McKinsey & Company for 25 years, leading the firm’s Corporate Strategy Practice globally Co-author with Daniel Kahneman and Dan Lovallo of “Before You Make That Big Decision,” selected for HBR’s 10 Must Reads on Making Smart Decisions Knight in the French Legion of Honour and recipient of the Vernimmen Teaching Award at HEC Paris Biography Most strategic mistakes do not come from missing information. They come from the way executives process the information they already have. Behavioural strategy is the discipline of catching those errors before they reach the board paper, and Olivier Sibony has spent two decades building the case for treating it as a serious management practice rather than a curiosity. His credentials sit on both sides of the divide that usually separates academics from operators. He spent 25 years at McKinsey & Company, eventually as Senior Partner running the firm’s Global Corporate Strategy Practice and a European leader of the Consumer sector. In 2015 he moved full time into teaching, joining HEC Paris as a Professor of Strategy and taking up an Associate Fellowship at Oxford’s Saïd Business School. The intellectual work shows up most clearly in the books. Noise: A Flaw in Human Judgment, co-authored with Daniel Kahneman and Cass R. Sunstein, became a New York Times and Sunday Times bestseller and reframed an entire category of judgment error that bias literature had ignored. You’re About to Make a Terrible Mistake! won the Manpower Foundation Grand Prize and turned the academic case into 40 specific techniques executives can use. Earlier, his Harvard Business Review article with Kahneman and Dan Lovallo, “Before You Make That Big Decision,” was selected for HBR’s 10 Must Reads on Making Smart Decisions. What makes him useful in a room full of operators is the McKinsey vocabulary underneath the behavioural science. He talks about decision architecture the way other people talk about org design: as something you build deliberately, audit regularly, and rebuild when it stops catching the errors it was meant to catch. Key speaking topics Behavioural strategy and decision quality Cognitive bias in executive judgment Noise and inconsistency in organisational decisions Decision architecture in senior teams Strategic choice under uncertainty Algorithms, AI, and the limits of human intuition Diversity and personnel decision-making Ideal for CEOs, executive committees, and boards reviewing how major capital allocation and strategy decisions get made Chief Strategy Officers and corporate development teams running M&A, portfolio, and market-entry processes CHROs and senior HR leaders responsible for hiring, performance review, and promotion systems where noise quietly distorts outcomes Investment committees and risk leadership teams whose decisions repeat under uncertainty Audience outcomes A clearer view of where their own decision processes are most exposed to bias and noise A vocabulary to challenge confident recommendations without attacking the people making them Specific techniques for building dissent, structured disagreement, and pre-mortems into existing governance A framework for deciding when to trust judgment, when to trust data, and when to trust an algorithm A sharper sense of which decisions deserve the heaviest process and which do not

Why organisations work with Rahaf Harfoush Her work is anthropological, not predictive. It is grounded in fieldwork, behavioural research, and fifteen years of watching what technology does to the people who use it. That matters when leadership teams have already absorbed every version of the AI hype cycle and want something more durable. Her positions on AI move with the research, because the research is hers. What she takes into a boardroom in 2026 is not what she said in 2024, and the next book she is writing on humane productivity in the age of AI is shaping her current thinking in real time. She works across the full institutional range. The same questions she takes into board conversations on AI strategy show up in her policy work at the UN, her research at Oxford and Cambridge, and her teaching at Sciences Po. That range means she can speak credibly to executives, regulators, and creative teams in the same week. The Decoded Company thesis; that organisations should apply the same analytical rigour to understanding their talent as they apply to understanding their customers, gives CHROs and people strategy teams a precise, data-grounded argument for workforce intelligence. She brings an active body of work. The Decoded Company was a New York Times bestseller, Hustle & Float set the structural argument on productivity and creative work, a fourth book on humane productivity in the age of AI is in progress, and her weekly newsletter and original research mean she arrives at every engagement with new material rather than a fixed deck. Biography highlights Executive Director, Red Thread Institute of Digital Culture; former Associate Director, Technology Pioneer Programme, World Economic Forum, Geneva Member, UN Secretary-General’s High-Level Advisory Body on Artificial Intelligence; member, France’s National Digital Council; served on President Macron’s “Enlightenment in the Digital Age” commission on AI and democracy Visiting Policy Fellow, Oxford Internet Institute; Research Affiliate, Minderoo Centre for Technology and Democracy, University of Cambridge Author of Hustle & Float (2019); co-author of The Decoded Company (New York Times and USA Today bestseller; 2015 Gold Axiom Award for Best Business Technology Book) Named to the Thinkers50 2025 ranking; shortlisted for the Thinkers50 Innovation Award (2021); writing featured in Harvard Business Review, Wired, Financial Times, and Fast Company Faculty at Sciences Po’s School of Management and Innovation, Paris, teaching “Innovation and Emerging Business Models” Biography For the past fifteen years, the same question has run through her work. What happens to human beings when the systems they work and live inside change faster than their ability to absorb the change? That question has taken her into the early Obama campaign, the World Economic Forum, the UN, the Oxford Internet Institute, and the boardrooms of some of the largest companies in the world. The pattern she keeps finding is the same. The technology gets the attention. The behavioural and cultural consequences get ignored until they show up as a problem no one can solve with another tool. Her first book, Yes We Did, documented the digital infrastructure behind the 2008 Obama campaign from inside the war room. Her second, The Decoded Company (co-authored, and a New York Times and USA Today bestseller), argued that organisations apply rigorous analytics to their customers and intuition to their people, and pay for that mismatch in every retention number. Her third, Hustle and Float, made the case that the conflict between productivity culture and creative work is older than any of the tools we blame for it, and cannot be solved by another wellness programme. Her current research focuses on AI’s impact on human cognition and learning. This is the territory where the most urgent questions are being asked, and where the gap between what the technology can do and what organisations actually need is widest. She is writing about it, teaching about it at Sciences Po, advising on it at the UN, and bringing what she finds onto the stage as it develops. She holds research affiliations with the Oxford Internet Institute and Cambridge’s Minderoo Centre for Technology and Democracy. She served on President Macron’s “Enlightenment in the Digital Age” commission and on France’s National Digital Council. Her work has been featured in the Harvard Business Review, Wired, the Financial Times, and Fast Company. She was named to the Thinkers50 2025 ranking and shortlisted for the Thinkers50 Innovation Award in 2021. Key speaking topics Digital culture and organisational behaviour Artificial intelligence governance and ethics The future of creative and knowledge work Human-centred AI strategy Innovation and emerging business models Leadership in technological disruption Data intelligence and talent strategy Ideal for C-suite leadership teams who want to think clearly about AI before committing to a strategy they will have to defend in eighteen months CHROs and people leaders facing the talent, learning, and creative-performance consequences of AI adoption Government, regulatory, and policy audiences working on AI governance and digital policy Innovation, foresight, and strategy functions in technology-intensive and creative industries Audience outcomes A working framework for understanding what AI is actually doing to the people in your organization, beyond productivity metrics Language for the cultural and cognitive shifts your leaders are already sensing but have not been able to name A clearer position on AI governance, grounded in research and lived policy experience at the UN and national level A sharper read on the gap between what your technology strategy assumes and what your people are experiencing

Why organisations work with Purna Virji At Microsoft and LinkedIn she worked the commercialization layer for emerging AI, shaping the strategy and market narratives that decide whether a new capability reaches and convinces a market. She speaks to the gap between what a product can do and what customers adopt from direct operating experience, not observation. She gives executive teams a way to measure AI by business outcomes rather than activity, replacing “time saved” and tokens used with quality lift, scope growth, and capability unlock, the language finance and boards will fund. Her Agent-Led Growth work maps a shift most leaders have not yet priced in: customers delegating discovery and purchase decisions to AI agents, and what that does to how brands get found and trusted. She wrote the award-winning High-Impact Content Marketing (Kogan Page), recognised as a Choice Outstanding Academic Title, which grounds her credibility in published, peer-recognised work rather than conference reputation alone. Biography highlights More than a decade across Microsoft and LinkedIn in AI commercialization, go-to-market, and customer engagement, including Senior Manager of Global Engagement at Microsoft and Principal Consultant, Content Solutions at LinkedIn. Author of High-Impact Content Marketing (Kogan Page, 2023), a Choice Reviews Outstanding Academic Title (2024) and Goody Business Book Award winner. Creator of the Agent-Led Growth newsletter, publishing original frameworks on agentic commerce, AI adoption, and trust as a ranking factor. Named the #1 Most Influential PPC Expert in the World (PPC Hero, 2016), an Adweek Young Influential (2018), and Search Personality of the Year (US Search Awards). Honoured Listee, Marquis Who’s Who in America (2023). Has keynoted in more than 20 countries; work featured in Adweek, The Drum, TNW, Search Engine Land, and Search Engine Journal. Biography Most AI initiatives do not fail in the lab. They fail in the gap between a working model and a customer who changes nothing about how they work. Purna Virji has spent her career inside that gap, at the point where AI commercialization, go-to-market strategy, and customer behaviour meet. That vantage point is unusual. She spent more than a decade at Microsoft and LinkedIn in commercialization and go-to-market work, latterly focused on emerging AI, where she shaped the strategy and market narratives that decide whether a new capability earns trust and gets adopted. She has seen the failure modes up close, from unclear value to a customer journey that asks too much too soon. Her published work carries the same argument. High-Impact Content Marketing (Kogan Page) was named a Choice Reviews Outstanding Academic Title, and her Agent-Led Growth newsletter tracks the next shift: customers handing discovery, comparison, and purchase decisions to AI agents acting on their behalf. The implication for brands is direct. Influence moves from catching a person’s eye to earning an agent’s confidence. What she brings to a leadership audience is a way to argue about AI in board language. She reframes success away from time saved and tasks completed toward quality lift, scope growth, and capability unlock, the outcomes that survive a finance review. Her Agent-Led Growth research names the real blocker directly: the Delegation Gap, the distance between what AI can technically do and what people are ready to hand over. For executives funding AI and seeing experimentation rather than impact, closing that gap is the work. Key speaking topics AI commercialization and adoption Agentic commerce and AI-led customer journeys Measuring AI business impact and ROI Go-to-market strategy for AI products Trust, discovery, and brand visibility in the AI era AI-driven sameness and competitive differentiation Ideal for Executive teams and boards funding AI initiatives and asking what return they are getting AI transformation leads, CTOs, and product leaders moving from pilot to deployment CMOs and revenue leaders facing the shift to agent-led discovery and commerce Enterprise B2B and SaaS organisations whose growth depends on AI adoption by customers Audience outcomes A framework for tying AI initiatives to outcomes a board will fund: quality lift, scope growth, capability unlock, rather than activity metrics. A clear picture of how agent-led customer journeys change discovery, trust, and where buying influence sits. A diagnosis of why specific AI initiatives stall at the pilot stage, and where the product-to-market handoff breaks. A way to spot where AI-driven sameness enters content and customer experience, and how to design for differentiation from the start.

Why organisations work with Itai Green He runs the operator’s playbook for open innovation, built on programmes delivered for named multinationals including Toyota, Teva Pharmaceuticals, Maccabi Healthcare, and Electra. He owns the access point to two of Israel’s largest vertical startup communities, ITTS (around 350 traveltech founders) and IITS for insurtech, which gives corporate audiences a direct route into live deal flow. His book with Business Expert Press, Innovation or Elimination: Winning in a World of Constant Change. An Executive Playbook (2026), codifies a two-decade framework for collaboration between corporates and startups, so the keynote carries a published thesis rather than a deck. He has briefed senior commercial audiences at repeat Economist summits, UNWTO, and Amcham Brazil’s CEO Forum, which means he calibrates to board-level decision makers, not technology enthusiasts. He was inside corporate innovation at Amadeus IT Group before building the consultancy, so he speaks to the internal politics of innovation programmes from the same side of the table as the buyer. Biography highlights Founder and CEO, Innovate Israel (2017 to present). Former Head of Business Development and Innovation, Amadeus IT Group Israel. Former CEO, Maxtech Technologies; former VP Business Development, Techtium; prior roles at Elbit. Co-founder, JerusalemOnline. Author, Innovation or Elimination: Winning in a World of Constant Change. An Executive Playbook (Business Expert Press, 2026). Founder of the ITTS and IITS startup communities covering traveltech and insurtech in Israel. Keynote speaker at Economist summits (2018 to 2022), UNWTO Tourism Startup Competition, and Amcham Brazil CEO Forum. Biography Most corporate innovation programmes fail quietly. They produce pilots, demo days, and scouting reports, but very little that reaches a P&L. The gap is not talent or budget; it is the wiring between the corporate and the outside ecosystem it claims to work with. Itai Green has spent two decades inside that wiring. As Head of Business Development and Innovation at Amadeus IT Group in Israel, and before that as a CEO and operator across Maxtech, Techtium, and Elbit, he built the internal muscle that most large organisations are still trying to grow. In 2017 he founded Innovate Israel to run that playbook for global corporates, connecting them to Israeli startups across IT, pharma, finance, travel, retail, banking, insurance, energy, and construction tech. Client work has included Toyota, Teva Pharmaceuticals, Maccabi Healthcare, and Electra. Alongside the consulting practice, he built two of the largest sector communities in Israel’s ecosystem. ITTS (Israel Travel Tech Startups) now covers around 350 founders. IITS does the same job for insurance technology. For a corporate buyer, those communities are the live deal flow behind the keynote. His book Innovation or Elimination: Winning in a World of Constant Change. An Executive Playbook (Business Expert Press, 2026) sets out the framework he has been using with clients: how leadership teams structure open innovation, how they absorb external technology without breaking their core business, and how they stop confusing pilots with outcomes. Key speaking topics Open innovation and corporate-startup collaboration Generative AI in corporate strategy Israeli innovation ecosystem and ecosystem engagement Traveltech and insurtech Corporate venturing and scouting models Innovation leadership and organisational readiness Business model innovation under geopolitical and tariff pressure Ideal for Chief Innovation Officers, Heads of Corporate Venturing, and Chief Strategy Officers building or resetting an open innovation function. Executive committees in travel, insurance, pharma, retail, energy, and banking evaluating engagement with Israel’s startup ecosystem. Business development and R&D leaders who have active scouting but no reliable path from pilot to deployment. Boards and CEO forums looking for an operator’s view on turning innovation spend into commercial growth. Audience outcomes A working definition of what separates a functioning open innovation programme from a scouting theatre. A clear map of how to engage with Israel’s startup ecosystem without burning internal credibility on dead-end pilots. A perspective on where generative AI shifts the corporate-startup dynamic, grounded in live client work rather than forecasts. Specific internal structures and incentives that leaders can use to move a pilot from proof of concept to a line of business. A candid read on where open innovation tends to fail inside large corporates, from someone who has sat on both sides.

Why organisations work with Limor Ziv She closes the gap between AI governance theory and AI commercial performance, with named client work at Google, KPMG, Bright Data, SolarEdge, and Medison Pharma. Humane AI was selected by Meta among 2025’s most promising AI startups; she sits on the Scientific Council of the Israeli Association for Ethics in AI. Her peer-reviewed research with 74 senior AI and data professionals (MDPI, 2025) gives boards a working diagnostic for the breakdowns that destroy AI value, from data and governance to context and business alignment. She works the practitioner seam between academic credibility and commercial deployment, the same person teaches the lecture and runs the workshop afterwards. Operator credibility on the women-in-AI question, with public roles in Israel’s data and ethics communities, without converting that into a separate keynote category. Biography highlights Founder and CEO, Humane AI, selected by Meta among 2025’s most promising AI startups. Postdoctoral fellowship in Human-AI Interaction; Ph.D., Tel Aviv University, where she was named to the “100 Outstanding Lecturers” list. Co-author, “Behind the Algorithm: International Insights into Data-Driven AI Model Development” (MDPI, 2025), based on interviews with 74 senior AI and data professionals. Scientific Council member, Israeli Association for Ethics in AI (IAEAI). Named keynote and consulting work for Google, KPMG, Bright Data, SolarEdge, Medison Pharma, government ministries, and municipalities including Tel Aviv. Biography AI investments are returning less than executive committees expected, and regulatory scrutiny is rising in parallel. The two pressures meet at the same operational layer, where most AI deployments quietly fail. Dr. Limor Ziv built Humane AI to work at that seam. The company was selected by Meta among 2025’s most promising AI startups. In a keynote, she takes apart the hidden risks built into everyday algorithms and gives senior audiences practical ways to govern AI systems and to lower the exposure they create. She works with organisations to capture the upside of AI and avoid the failure modes that come with deploying it. The research underwrites the consulting. Her 2025 paper with Maayan Nakash in MDPI’s Machine Learning and Knowledge Extraction draws on interviews with 74 senior AI and data professionals across countries and sectors. The recurring breakdowns it surfaces are the same ones that destroy commercial performance: weak data quality, missing context, governance gaps, and business misalignment. Her client base spans government ministries and municipalities, universities, and technology companies, including Google, KPMG, Bright Data, SolarEdge, and Medison Pharma. She lectures in graduate programmes at universities and was named to Tel Aviv University’s list of 100 Outstanding Lecturers. The brief is consistent across them: make AI deployments that earn their investment and hold up when someone audits the decisions. Key speaking topics Responsible AI and AI ethics AI risk management and compliance AI governance and regulatory readiness Data quality and data-centric AI Human-AI interaction and human-centred design Realising value from AI investment AI in regulated sectors, including healthcare and finance Operationalising responsible AI in the enterprise Ideal for Boards and executive committees accountable for both the return on AI investment and the defensibility of the AI systems they sign off. Chief AI officers, chief data officers, and CISOs operationalising responsible AI policy while showing it earns its cost. Regulated-industry leadership in healthcare, financial services, and public sector wrestling with AI deployment under compliance pressure. Heads of AI, innovation, and transformation under pressure to show a return on AI spend without creating regulatory exposure. Audience outcomes A working definition of AI risk that distinguishes data risk, model risk, and decision risk, and a sense of where each lives in the organisation. A view of what AI deployment actually demands of operating teams, drawn from her empirical research with 74 senior practitioners across countries and sectors. A grounded read on the live regulatory and ethical debates, from a Scientific Council member of the Israeli Association for Ethics in AI. An honest read on the gap between what AI investments cost and what they return, and on the operating work that decides whether the gap closes.

Why organisations work with Tom Goodwin His 2015 observation that Uber owns no vehicles and Airbnb no real estate became the standard way executives describe asset-light competition. He gives a leadership team the same lens on its own business: where value is moving, and who is positioned to own the customer. He has made technology bets inside two of the world’s largest advertising and media groups, as EVP and Head of Innovation at Publicis-owned Zenith Media and before that as SVP of strategy and innovation at Havas Media. He advises others now on calls he has had to make himself. His read on AI cuts against both the hype and the gloom. Under the banner he calls “nowism,” he argues the technology to grow already exists and the constraint is nerve and imagination. Boards leave with something to act on, not another warning about the future. He has spent two decades translating technology for commercial audiences, as a columnist for The Guardian, TechCrunch, and Forbes and as host of the Euronews series The Edge. Operators follow the argument and can repeat it, without needing a specialist to decode it. Biography highlights Author of Digital Darwinism: Survival of the Fittest in the Age of Business Disruption, published by Kogan Page and translated into several languages Author of the 2015 TechCrunch essay “The Battle Is For The Customer Interface,” one of the most widely cited descriptions of platform business models Former EVP and Head of Innovation at Zenith Media, part of Publicis Groupe; earlier SVP, Strategy and Innovation at Havas Media Founder of the innovation consultancy All We Have Is Now, advising Fortune 500 companies and startups Named LinkedIn’s #1 Voice in Marketing Host of The Edge, a technology series for Euronews; columnist for The Guardian, TechCrunch, Forbes, Adweek, and Marketing Week Biography In 2015, a single paragraph in TechCrunch changed how executives talk about competition. It pointed out that Uber owned no vehicles, Airbnb no real estate, Alibaba no inventory, and Facebook made no content. The author was Tom Goodwin, then senior vice-president of strategy and innovation at Havas Media. The line stuck because it named something leaders could feel but had not put into words: value was moving from owning assets to owning the customer relationship. Goodwin had spent his career inside that shift, later running innovation at Publicis-owned Zenith Media and advising large companies on where to place their bets. His argument now centres on artificial intelligence, and it runs against the prevailing mood. Most organisations, he contends, use new technology to make the old business run more smoothly, when the real opportunity is to rebuild what the business does. He calls the practical version of this “nowism”: the tools to grow already exist, and the limit is nerve and imagination. That case reaches a wide audience. Goodwin hosts The Edge, a technology series for Euronews, and has been named LinkedIn’s #1 Voice in Marketing. He set out the full argument in his book Digital Darwinism, published by Kogan Page. Key speaking topics Artificial intelligence and business strategy Digital transformation Platform and asset-light business models The future of business Technology and consumer behaviour Marketing and the customer interface Ideal for CEOs and boards setting the direction of a digital or AI strategy Chief Marketing and Chief Digital Officers deciding where technology changes the customer relationship Innovation, strategy, and transformation leads under pressure to show a return on technology investment Senior leadership teams at large incumbents facing platform-native competitors Audience outcomes A way to judge which technologies change their business and which are noise A concrete test for their own model: what the company would look like if it were built today Language to explain asset-light and platform competition to their own teams and boards A more pragmatic read on AI that stays on what is usable today

Why organisations work with Trabucchi and Buganza The Platform Thinking Matrix gives strategy and transformation teams a structured instrument for identifying precisely where platform mechanisms can be applied to existing business models, built from a decade of research on established companies, not borrowed from startup literature. The Digital Phoenix Effect draws on analysis of 140 platform initiatives across S&P 500 companies, with detailed cases from Siemens, AXA, Eni, and Domino’s – the organisations their research is built around look like most audiences, not like Silicon Valley startups. With 100+ peer-reviewed publications in journals including the Journal of Product Innovation Management and Technovation, their frameworks can be tested against sustained evidence – not just a practitioner’s conviction codified into a model. As Scientific Directors of the Platform Thinking HUB within Politecnico’s Digital Innovation Observatories, they give organisations access to live, connected research, not a fixed set of frameworks. Shortlisted for the Thinkers50 Distinguished Achievement Award in Digital Thinking: the body that the Financial Times has described as producing the Oscars of management thinking. Biography highlights Associate Professor of Platform Thinking (Trabucchi) and Full Professor of Leadership & Innovation (Buganza), School of Management, Politecnico di Milano Co-founders and Scientific Directors of the Platform Thinking HUB within Politecnico’s Digital Innovation Observatories, and of LEADIN’Lab; Buganza chairs the EIASM International Product Development Management Conference Thinkers50 Radar Class of 2024; shortlisted for the Thinkers50 Distinguished Achievement Award, Digital Thinking category Co-authors of Platform Thinking: Read the Past. Write the Future (Business Expert Press, 2023) – shortlisted for the Business Book Awards 2024 and translated into Italian and Chinese – and The Digital Phoenix Effect (Platform Thinking Publishing, 2025) 100+ peer-reviewed articles in journals including the Journal of Product Innovation Management, Technovation, and Information Systems Journal Co-founders of Symplatform (2018), the annual international conference on digital platforms connecting researchers and practitioners Biography Most digital transformation advice is written for companies that do not yet exist. Trabucchi and Buganza study the ones that do: established firms with legacy assets, existing customer relationships, and infrastructure they cannot simply abandon. Over more than a decade at Politecnico di Milano’s School of Management, they developed Platform Thinking as a named strategic framework. It is not a description of what Uber or Airbnb do. It is a method for how any established organisation can activate its existing assets to generate the multi-sided value that platform businesses create. The Platform Thinking Matrix formalises this as a practical instrument for strategy and transformation teams. Their 2025 book, The Digital Phoenix Effect, draws on 140 platform initiatives analysed across S&P 500 companies, with cases from Siemens, AXA, Eni, and Domino’s. The argument that incumbent firms cannot compete in the platform economy on their own terms is a common one. Trabucchi and Buganza make the opposite case, and back it with sustained empirical research. Both were included in the Thinkers50 Radar Class of 2024 and shortlisted for the Thinkers50 Distinguished Achievement Award in Digital Thinking. As co-founders of Symplatform and Scientific Directors of the Platform Thinking HUB, they connect rigorous academic research to active practitioner communities. Their frameworks emerge from sustained, peer-reviewed inquiry – over 100 published articles across journals including the Journal of Product Innovation Management and Technovation – not from advisory work alone. Key speaking topics Platform thinking and business model transformation Legacy organisations in the platform economy The Platform Thinking Matrix Data as a platform asset GenAI and internal platform development Platform leadership and innovation management Multi-sided platforms and ecosystem strategy Ideal for Chief Strategy Officers and Chief Digital Officers leading platform transformation in established businesses CEOs and boards of legacy organisations facing disruption from platform competitors Innovation and transformation leads in non-digital-native companies Executive MBA and corporate learning audiences focused on digital business model innovation Audience outcomes A working definition of Platform Thinking and how it differs from conventional digital transformation advice The Platform Thinking Matrix as a practical framework for identifying where platform mechanisms apply to existing business models Real cases from established firms – Siemens, AXA, Eni, Domino’s – showing how legacy assets become platform advantages Clarity on the specific leadership conditions that enable platform-based change within established organisations A starting point for assessing their organisation’s platform potential against a research-backed framework

Why organisations work with Diana Verde Nieto She has built the operating substance behind two commitments most companies treat as comms exercises. Positive Luxury and the Butterfly Mark turned sustainability claims into an audited certification with periodic re-earn cycles. Edify is now doing the same work for AI-driven capability, turning brand standards and SOPs into something frontline teams actually use. “Reimagining Luxury” (Kogan Page, 2024) is built on direct contributions from chief sustainability officers at LVMH, Kering, and L’Oréal, alongside Harvard’s John P. Kotter and Paul Polman. The frameworks it sets out are drawn from how the major houses actually run sustainability, not how they describe it externally. Shortlisted, Business Book Awards 2025, Change and Sustainability category. Two founded-and-exited businesses (Clownfish, sold to Aegis-Dentsu in 2008; Positive Luxury) mean her thinking on commercial strategy has been tested by real investors and real markets, not consulting decks. Through Edify Collective, she is applying the same thesis to workforce capability, embedding policies and standards into the daily flow of work rather than relying on training events that fade within weeks. World Economic Forum Young Global Leader and Harvard Kennedy School graduate. Non-Executive Director at the British Beauty Council and Watts 1874. Former adviser to the UN Department of Economic and Social Affairs, the UN Conscious Fashion and Lifestyle Network, and La Prairie (Beiersdorf). Biography highlights Co-Founder and CEO of Edify Collective, an AI-native frontline performance support platform that embeds policies, SOPs, and brand standards into the daily flow of work, bridging board-level strategy and frontline execution. Co-founder of Positive Luxury (2011), creator of the Butterfly Mark, the luxury sector’s best-known independent ESG certification. Founder of Clownfish (2002), one of the world’s first dedicated sustainability communications consultancies; built to a presence in five markets and sold to Aegis-Dentsu Group in 2008. Author of Reimagining Luxury: Building a Sustainable Future for Your Brand (Kogan Page, 2024); shortlisted, Business Book Awards 2025, Change and Sustainability category. World Economic Forum Young Global Leader; degree in Global Leadership and Public Policy, Harvard Kennedy School. Non-Executive Director, British Beauty Council and Watts 1874; former adviser to the UN Department of Economic and Social Affairs, the UN Conscious Fashion and Lifestyle Network, and La Prairie (Beiersdorf). Biography Most organisations are excellent at deciding what needs to change. They write the policy, sign off on the strategy, brief the leadership team. The work that follows, embedding that decision into how thousands of people actually behave at the frontline, is where most of the value is either captured or lost. Diana Verde Nieto has spent two decades building businesses around this problem. In 2002 she founded Clownfish, one of the first dedicated sustainability communications consultancies, scaled it to five markets, and sold it to Aegis-Dentsu in 2008. In 2011 she co-founded Positive Luxury with Karen Hanton MBE and built the Butterfly Mark, an independent ESG certification now sought by over 100 brands across fashion, beauty, jewellery, and travel, awarded on demonstrated performance across nine criteria and re-earned every two years. Reimagining Luxury (Kogan Page, 2024), shortlisted for the Business Book Awards 2025, draws directly on contributions from the chief sustainability officers of LVMH, Kering, and L’Oréal, alongside Harvard’s John P. Kotter and Paul Polman. As Co-Founder and CEO of Edify Collective, she is now applying the same thesis to workforce capability. Edify is an AI-native platform that embeds policies, SOPs, and brand standards directly into the flow of frontline work, replacing fragmented training tools with a single performance support layer. The argument is the same one she has been making for 25 years, but the domain has shifted: the strategy-execution gap is now also the gap between AI ambition and AI deployment, and the same operating disciplines apply. A World Economic Forum Young Global Leader and Harvard Kennedy School graduate, she serves as a Non-Executive Director at the British Beauty Council and Watts 1874. Her previous advisory work includes the UN Department of Economic and Social Affairs, the UN Conscious Fashion and Lifestyle Network, and La Prairie (Beiersdorf). Key speaking topics Closing the Strategy-Action Gap: From Boardroom to Frontline The AI-Native Workforce: Augmentation, Not Replacement Operationalising Purpose: Building Standards That Survive Daily Operations Lessons from Luxury: How LVMH, Kering, and L’Oréal Run Sustainability as Commercial Strategy Trust as a Brand Asset: Why Operational Reality Determines Reputational Value The Entrepreneurial Journey: Building, Scaling, and Exiting Purpose-Driven Businesses Seeing Markets Before They Arrive: Strategic Foresight in Volatile Industries Ideal for CEOs and brand leaders responsible for bridging strategic intent and daily operational reality Chief Operating Officers and Chief Transformation Officers redesigning legacy systems and workflows for an AI-native workforce Boards and Non-Executive Directors whose governance responsibilities turn on whether operational substance backs board-level commitments Founders, investors, and venture partners examining purpose-driven businesses, scale-up discipline, and exit strategy Industry associations, regulators, and policy bodies operating at the intersection of corporate strategy and standards-based oversight Audience outcomes Diana’s focus is the final mile of leadership: the work between strategy being agreed and strategy being delivered through the daily behaviour of frontline teams. Her sessions are built for senior audiences who have already named the strategic problem and need to understand how to operationalise the answer. A working definition of The Action Gap, the space between board-level commitments and frontline reality, and the operating disciplines that close it. A direct view of how LVMH, Kering, and L’Oréal turn sustainability commitments into auditable commercial strategy, drawn from her book’s primary research with their CSOs. A reframing of AI in the workforce from substitution to augmentation: what it means to put expert-level judgement into the hands of frontline workers in real time, and what that requires of the operating model. A founder’s view of scale, exit, and the discipline of building purpose-driven businesses that hold their commercial integrity through investor scrutiny and global expansion. A practical map of where brilliant strategies fail at the point of work, and what board-level leaders can do about it before the failure becomes a reputational event.

Why organisations work with Edvard Moser He gives an audience the rarest credential in the field, a Nobel Prize in medicine, attached to a discovery they can picture in one image: the brain runs an internal positioning system, built from grid cells he and May-Britt Moser identified in 2005. When DeepMind trained a neural network to navigate, it spontaneously reproduced the grid cells he discovered. That makes him a credible voice on the question every leadership team now faces: how close are machines to the way real intelligence actually works? His lab is still publishing frontier results, including a 2025 paper in Science on how the brain carves a continuous stream of experience into separate memories. A decade after the prize, the work is still moving. The brain circuits he mapped, in the entorhinal cortex, are the first to break down in Alzheimer’s disease. For audiences in health, pharma, and longevity, his work sits at the origin of one of medicine’s hardest problems. Biography highlights Shared the 2014 Nobel Prize in Physiology or Medicine, with May-Britt Moser and John O’Keefe, for discovering the brain’s positioning system. Discovered grid cells in the medial entorhinal cortex in 2005, the finding that defined the prize. Founding Director of the Kavli Institute for Systems Neuroscience at NTNU, and co-founder of four Norwegian Centres of Excellence. Foreign member of the Royal Society, and of the US National Academy of Sciences and the National Academy of Medicine. His discovery was independently echoed by AI: a DeepMind network trained to navigate reproduced grid-like representations, published in Nature in 2018. His lab continues to publish in Science and Nature, with a 2025 paper on how the brain organises memory. Biography In 2018, a neural network built at DeepMind taught itself to find its way through a virtual space. No one had told it how. To solve the problem, it spontaneously produced the same hexagonal firing patterns that Edvard Moser had found in the brains of rats thirteen years earlier. The machine had reinvented the grid cell. Those grid cells are the reason Moser shared the 2014 Nobel Prize in Physiology or Medicine. Working with May-Britt Moser, he identified neurons in the entorhinal cortex that fire in a regular grid as an animal moves, giving the brain an internal coordinate system. Together with the place cells found earlier by John O’Keefe, they form what is often called the brain’s GPS. The discovery opened a wider programme. Moser’s lab at the Kavli Institute for Systems Neuroscience, which he founded and directs at NTNU, now studies how the brain encodes space, time, and memory together. A 2025 paper in Science showed how it slices a continuous stream of experience into discrete events we can later recall. The same entorhinal circuits are the first to fail in Alzheimer’s disease, which gives the work a direct line to one of medicine’s hardest problems. Moser’s path was not the obvious one. He grew up on the west coast of Norway, took a first degree in psychology, and built his research from a standing start at a young university in Trondheim. From there he founded four national Centres of Excellence, the Kavli Institute among them, and was elected a foreign member of the Royal Society and the US National Academies of Sciences and Medicine. The brain is still the only system that has produced general intelligence, and he works on the actual cells that do it. Key speaking topics The brain’s positioning system Memory and how it forms Biological and artificial intelligence The neuroscience of space and time Grid cells and spatial navigation The brain in health and in Alzheimer’s disease The path to a Nobel Prize Ideal for AI, data science, and R&D teams curious about the biological intelligence their models are reaching toward Healthcare, pharmaceutical, and longevity organisations working on memory, ageing, and Alzheimer’s Innovation and technology audiences interested in how the brain’s intelligence compares with the artificial kind Flagship conferences and leadership summits seeking a Nobel laureate a non-specialist audience can follow Audience outcomes A clear, jargon-free picture of how the brain represents space, time, and memory A grounded sense of how far artificial intelligence still sits from biological intelligence, and where the two genuinely meet Why Alzheimer’s disease takes hold in the brain’s navigation circuits, decades before the first symptoms A first-hand account of how a Nobel-winning discovery actually unfolded

Why organisations work with Chris and Mickey Brand decisions get tested against how buyers actually think, because a creative director and a business psychologist run the same brief together. They show leadership exactly where sameness is costing pricing power, and where a defensible difference already sits unused inside the business. Their DARE method gives a repeatable test for whether a brand will command a premium, not just whether it looks current. They work the specific problem of the AI era: building a brand faster with generative tools without producing the generic output that makes a company replaceable. Biography highlights Co-founders of Firestarter, a London brand consultancy with a design studio in Cape Town, working with B2B scale-ups across the UK, Europe, and beyond. Mickey Wilson founded her first creative agency at 21 and has spent over 30 years in brand, with clients including Tesco, Samsung, Ocado, and CIMA. Dr Chris Endersby is a business psychologist with an MBA from Imperial College London, who led change programmes for JP Morgan, KPMG, UBS, and Barclays. Creators of the DARE framework: Differentiation, Authenticity, Resonance, and Expression. Co-authors of the forthcoming book BRANDFIRE. Biography A brand can now be generated in days. That speed carries a cost. Across B2B markets, companies are converging on the same claims and the same visual language, and buyers lose any real reason to choose one over another. Firestarter, the London consultancy Chris and Mickey run, was built to reverse that drift. Their method pairs two instincts that rarely meet. Mickey Wilson brings over 30 years of brand work for names such as Tesco, Samsung, and Ocado. Her instinct is for what makes a business unlike its rivals. Dr Chris Endersby, a business psychologist who ran change programmes inside JP Morgan, KPMG, and Barclays, brings the evidence for why those differences move buyers. Their case is plainly commercial. A business that looks and sounds like its competitors ends up competing on price, and margin leaks away. The DARE framework, Differentiation, Authenticity, Resonance, and Expression, gives leaders a way to judge whether a brand will command a premium or blend in. On stage, they work as a double act. Mickey reads a room by instinct; Chris explains the psychology underneath the reaction. The thinking behind both is now set down in their forthcoming book, BRANDFIRE. Key speaking topics Brand differentiation in B2B markets The psychology of buyer decisions Brand-led growth and pricing power Branding in the age of generative AI Authenticity and brand consistency Creative strategy for scale-ups Ideal for Founders and CEOs of B2B scale-ups deciding how to stand apart in a crowded category CMOs and brand leads are under pressure to defend pricing and win consideration Boards and leadership teams are weighing how generative AI changes their brand and market position Audience outcomes A clear read on where their brand currently sounds like everyone else, and what that is costing in price and consideration The DARE framework is a working test for whether a brand will command value A view on where generative AI helps build a brand and where it strips out what makes the brand worth choosing The psychological drivers behind B2B buying decisions, and how to align a brand to them

Why organisations work with Sidney Shapiro Argues openly against AI hype. His featured keynote “Stop Believing the AI Hype” treats vendor claims as a leadership evaluation problem, which is the conversation regulated buyers and procurement teams actually need to have. Has published governance work in peer-reviewed venues. A Routledge book chapter on AI governance for higher education institutions, and a forthcoming IGI Global chapter on the governance of generative AI, give him a documented position on what responsible deployment looks like in practice. Brings a decade of operational data science alongside the academic work. A former Data Science Manager at Sofvie building occupational health and safety software, he speaks to the integration and accountability problems that follow a proof of concept. Active in the working practitioner conversation. Hosts the AI in Action podcast and organises the Southern Alberta AI Conference, which together keep his perspective grounded in what organisations across healthcare, agriculture, manufacturing, and public administration are actually trying to ship. Biography highlights Assistant Professor of Business Analytics, Dhillon School of Business, University of Lethbridge Adjunct Assistant Professor of Computer Science, University of Lethbridge Book chapter on AI governance frameworks for higher education published by Routledge (2025); forthcoming chapter on the governance of generative AI with IGI Global Host of the AI in Action podcast and organiser of the Southern Alberta AI Conference Former Data Science Manager at Sofvie Inc., building data systems for occupational health and safety in the mining sector Featured or quoted in The Globe and Mail, CBC News, Lethbridge Herald, and Canadian Family Offices Magazine Biography Most organisations have already run AI pilots. The harder question is what happens after the proof of concept ends. Procurement standards stay unclear, and the governance frameworks people quote in slides do not survive contact with real workflows. This is the gap Sidney Shapiro works in. He is Assistant Professor of Business Analytics at the Dhillon School of Business at the University of Lethbridge, and Adjunct Assistant Professor of Computer Science. Published work includes a Routledge book chapter on AI governance frameworks for higher education and a forthcoming IGI Global chapter on the governance of generative AI. Both set out what responsible deployment actually requires from organisations. His authority on the operational side comes from a decade in data-centric roles before academia. He worked as a Data Science Manager at Sofvie, an occupational health and safety software company in the mining sector, and previously coordinated the Business Analytics graduate program at Cambrian College. That background shapes how he addresses the procurement and integration problems that follow proof of concept, which is where most AI initiatives slow or stall. Public engagement keeps the work current. Shapiro hosts the AI in Action podcast, interviewing practitioners and researchers across healthcare, education, finance, and software development on what AI deployment actually looks like in their organisations. He also organises the Southern Alberta AI Conference. Recent audiences include Indigenous Services Canada, McCain Foods, EY Calgary, CMC Alberta, and the Digital Research Alliance of Canada. These are buyers with low tolerance for vendor language and high tolerance for hard questions. Key speaking topics AI governance and responsible deployment Generative AI in business and society Data privacy and trust in AI systems AI literacy for non-technical leaders Analytics leadership and digital transformation AI in higher education policy Ideal for C-suite leadership teams and boards facing AI governance and accountability decisions CIOs, CTOs, and Chief Data Officers moving AI from pilot to operational deployment Public sector leaders, including municipal and federal government, working under privacy and equity constraints on AI adoption Higher education executives shaping institutional policy on generative AI in teaching and research Audience outcomes A working framework for evaluating vendor AI claims against operational reality, in time to shape procurement decisions Sharper questions to ask of any AI initiative on data governance and where accountability sits when AI is wrong A grounded view of what generative AI does well today and where it still fails, with the implications for organisational adoption Reference points for designing operational AI governance: procurement standards, acceptable-use policies, and accountability mechanisms

Why organisations work with Nikolas Badminton He brings a published, named foresight methodology to the room. The Positive Dystopia Canvas, set out in Facing Our Futures, is a structured tool for stress-testing strategy against scenarios leaders would rather not entertain. He has worked the discipline at scale, with leadership teams at NASA, JP Morgan, Disney, Rolls Royce, the United Nations, and the UK Home Office. The methods on stage have been tested in serious rooms first. He bridges AI capability and strategic foresight in a way few speakers can. Most AI speakers stop at adoption. Most foresight speakers treat AI as one signal among many. Badminton treats AI as the variable that breaks existing planning horizons, and shows leaders how to plan accordingly. He served as a key advisor to The Age of A.I. documentary series with Robert Downey Jr., and his work is regularly cited by the BBC, The Atlantic, Forbes, and Fast Company. The audience tends to recognise him before he is introduced. Biography highlights Chief Futurist at Futurist.com, the international strategic foresight consultancy founded by Glen Hiemstra in 1993. Author of Facing Our Futures (Bloomsbury Business, 2023), JP Morgan Private Bank’s Next Gen Pick on its Summer Reading List and a Top-50 Business Book of 2023 by The Next Big Idea Club. Fellow of the Royal Society of Arts (FRSA) and a member of Chatham House. Advisor to The Age of A.I. documentary series with Robert Downey Jr. Research cited by the BBC, VICE, The Atlantic, Fast Company, Business Insider, Forbes, and Sunday Telegraph. Engagements with NASA, the United Nations, Google, Microsoft, JP Morgan, Disney, Rolls Royce, Procter & Gamble, the US Department of State, and the UK Home Office. Biography Most organisations cannot describe the future they are planning toward. They have a five-year strategy and a quarterly forecast, with very little real method in between. This gap is where Nikolas Badminton works. As Chief Futurist at Futurist.com, the strategic foresight consultancy founded by Glen Hiemstra in 1993, he advises executives and government leaders on how to build anticipatory capability into how they plan. His method is set out in Facing Our Futures (Bloomsbury Business, 2023). The book gives executives the Positive Dystopia Canvas, a structured tool for stress-testing strategy against scenarios leaders would rather not entertain. JP Morgan Private Bank named it a Next Gen Pick for its Summer Reading List, and The Next Big Idea Club listed it among the Top-50 Business Books of 2023. The client list reflects the demand for that work. NASA, Disney, JP Morgan, Microsoft, Rolls Royce, the United Nations, the US Department of State, and the UK Home Office have used Badminton’s foresight work to inform planning that runs longer than the political or quarterly cycle. A Fellow of the RSA and a member of Chatham House, he served as a key advisor to The Age of A.I. documentary series with Robert Downey Jr., and his research is cited by the BBC, The Atlantic, Forbes, and Fast Company. Key speaking topics Strategic foresight and futures design Artificial intelligence in the enterprise Anticipatory governance and long-range planning Innovation under disruption Energy transition and the future of resources Geopolitical scenarios and technology futures Ideal for CEOs and CSOs building foresight capability inside annual planning cycles. Boards and executive committees stress-testing strategy against long-range scenarios. Innovation, transformation, and R&D leaders responsible for moving beyond pilot stage on AI. Public-sector leaders and policymakers designing decisions with consequences beyond the political cycle. Audience outcomes A working understanding of the Positive Dystopia Canvas and how to apply it to current strategic decisions. Specific signals and scenarios in AI, energy, and geopolitics mapped onto the organisation’s actual planning horizon. The language to make the case for foresight capability inside a strategy function built around quarterly forecasting. Confidence to extend the planning conversation past 18 months without it becoming abstract or speculative.