Artificial Intelligence & Generative AI

Why organisations work with Daniel Susskind A rare voice arguing the economics of AI rather than the technology, drawing on academic work at Oxford, King’s College London and the Stanford Digital Economy Lab. Author of two of the most serious books on the subject leaders are now wrestling with: A World Without Work on AI-driven labour displacement, and Growth: A Reckoning on what economic growth itself should be for. Independent recognition from credible bodies. Growth: A Reckoning was runner-up for the Financial Times Business Book of the Year 2024 and selected by Barack Obama among his favourite books of the year. A World Without Work was also an FT Business Book of the Year runner-up. Sits inside the policy conversation, not just the academic one. Member of the UK Government Expert Panel on AI and the Future of Work, with prior roles in the Prime Minister’s Strategy Unit, 10 Downing Street and the Cabinet Office. Speaks directly to the question every professional services firm and large employer is now asking, which is what happens to the work, the workforce and the business model as AI absorbs more of what experts used to be paid for. Biography highlights Mercers’ School Memorial Professor of Business, Gresham College. Research Professor in Economics, King’s College London. Senior Research Associate, Institute for Ethics in AI, Oxford University, and Associate Member of the Oxford Economics Department. Digital Fellow, Stanford Digital Economy Lab. Author of “Growth: A Reckoning” (2024), “A World Without Work” (2020), and co-author of “The Future of the Professions” (2015). Two FT Business Book of the Year runner-up nominations. Member of the UK Government Expert Panel on AI and the Future of Work. Former Prime Minister’s Strategy Unit, 10 Downing Street Policy Unit, and Cabinet Office. Kennedy Scholar at Harvard. Biography The economic question AI poses to boards is not whether it will take jobs. It is which tasks, in which roles, at what pace, and what that does to the wage bill, the talent pipeline and the growth model the business has been built on. Most public discussion stops at the headline. Daniel Susskind’s work starts where the headline ends. “The Future of the Professions”, co-authored with Richard Susskind in 2015, argued that AI would unbundle expert work in law, medicine, accounting and consulting into tasks that machines, paraprofessionals and software would absorb. A decade on, the prediction reads as conservative. “A World Without Work” then took the argument into the wider labour market, asking how societies should distribute income, status and meaning when paid work becomes scarcer for more people. The New York Times called it “required reading for any potential presidential candidate thinking about the economy of the future”. “Growth: A Reckoning”, a Financial Times Business Book of the Year runner-up in 2024 and chosen by Barack Obama as a favourite book of that year, sits behind both. It treats economic growth as a deliberate choice about what societies value, not an inherited assumption. For corporate leaders the relevance is direct. Capital allocation, productivity claims and ESG narratives all rest on growth assumptions that no longer hold without examination. Susskind’s institutional base is unusually broad: Research Professor at King’s College London, Senior Research Associate at Oxford’s Institute for Ethics in AI, Mercers’ School Memorial Professor of Business at Gresham College, and Digital Fellow at the Stanford Digital Economy Lab. He sits on the UK Government Expert Panel on AI and the Future of Work, and previously advised inside the Prime Minister’s Strategy Unit, 10 Downing Street and the Cabinet Office. His TED Talk on the future of work has been viewed more than 1.7 million times. Key speaking topics Artificial intelligence and the future of work The future of the professions Economic growth and its limits Labour market disruption and workforce redesign AI policy and regulation Productivity, automation and the firm Technology, inequality and the social contract Ideal for Boards and executive committees of professional services firms grappling with AI’s impact on the expert business model CHROs and chief people officers planning multi-year workforce design around AI CEOs, CFOs and chief strategy officers debating growth, productivity and capital allocation Government, regulator and public-sector leadership audiences working on AI and labour-market policy Audience outcomes A grounded economic view of how AI changes work, distinct from the consultancy version Sharper questions to put to the firm’s own workforce and productivity assumptions A working frame for distinguishing AI hype from the shifts that will actually hit the P&L A clearer position on what growth means for the business, and where the inherited growth model is breaking Vocabulary and reference points senior teams can use to brief their own boards on AI and workforce strategy

Why organisations work with Manuel Muñiz Government office at the level where geopolitical strategy is actually written. As Spain’s Secretary of State for Global Spain, he coordinated the country’s foreign action strategy and its first national strategy on technology and global order. A scholarly frame for the technology and geopolitics intersection. His Oxford doctoral work and Brookings fellowship give boards a structured way to think about the US-China technology competition, AI, and the political economy of disruption. Institutional vantage point. As Provost of IE University and former Dean of IE’s School of Politics, Economics and Global Affairs, he sits at the centre of one of Europe’s most connected platforms on global affairs. A specific argument about the social contract. His writing on populism, inequality, and the consequences of technological change gives leaders language for the political risks now landing inside their markets and workforces. Biography highlights Provost of IE University and Dean of IE School of Politics, Economics and Global Affairs (SPEGA) Former Secretary of State for Global Spain at the Spanish Ministry of Foreign Affairs, European Union and Cooperation Nonresident Senior Fellow at the Brookings Institution President of APSIA, the global association of professional schools of international affairs, 2023 to 2025 DPhil, International Relations, University of Oxford; MPA, Harvard Kennedy School Grand Cross of the Order of Civil Merit, Spain (2024); David Rockefeller and Eisenhower Fellow Biography Spain’s first National Strategy on Technology and Global Order was coordinated by a vice minister at the Ministry of Foreign Affairs whose doctoral work at Oxford had already mapped the same terrain. Manuel Muñiz held that office from 2020 to 2021, and the strategy reflected a view he had been developing for a decade: technological change, inequality, and geopolitical fragmentation are one connected problem, not three. He now leads IE University as Provost, having previously built its School of Politics, Economics and Global Affairs from a small programme into one of Europe’s most international platforms for public policy and international relations, with around 1,900 students and a faculty connected to government, multilateral institutions, and global firms. His scholarship and writing sit where most board agendas now sit: the US-China technology competition, the regulation of AI, the fracturing of the rules-based order, and the political consequences of an economy in which growth no longer reliably produces shared prosperity. Essays appear in Project Syndicate, El Pais, The Washington Post, and Le Monde. He is a Nonresident Senior Fellow at Brookings. In 2023 he was elected President of APSIA, the international association of professional schools of international affairs, the first Spaniard to hold the role. In 2024 he received the Grand Cross of the Order of Civil Merit, one of Spain’s senior civilian honours. Key speaking topics Geopolitics and the new global order Technology, AI and great-power competition Strategic foresight for boards and governments The political economy of disruption and inequality Transatlantic relations and European security Economic diplomacy and the future of multilateralism Ideal for Boards and executive committees with material exposure to US-China competition, sanctions, or technology controls Government, foreign ministry, and multilateral audiences working on technology and global order Senior leaders in finance, energy, defence, and technology managing geopolitical risk Foundation, university, and policy convenings on democracy, populism, and the social contract Audience outcomes A clearer reading of where great-power competition is heading and what it means for capital allocation A framework for connecting technological change, inequality, and political instability inside one strategic picture A sharper sense of the policy and regulatory direction on AI, data, and critical technologies Vocabulary senior leaders can use with their own boards and governments on geopolitics and technology

Why organisations work with Manuel Maqueda He teaches the working mechanics of circular and regenerative economics at Harvard’s Division of Continuing Education, and built the equivalent programmes at UC Berkeley Extension and UCLA Extension. The intellectual content has been tested on senior professional audiences for years. He co-founded the Plastic Pollution Coalition and runs SUPER, a certification programme that operationalises single-use plastics elimination inside real businesses. The advice is operator-grade, not lecture-grade. He bridges sustainability and AI through Viento.ai, applying machine learning to climate disaster response. Boards facing both decarbonisation and AI agendas get one voice across both. His client list includes Google, NASA, Salesforce, LinkedIn, Dell, Uber, Santander and the New Plastics Economy Conference. He is fluent across deep-tech, financial services and policy audiences. He delivers in English and Spanish, useful for Iberian, Latin American and Pan-American programmes where most sustainability authorities are anglophone only. Biography highlights Special Program Instructor, Applied Circular Economics and Regenerative Economics, Harvard University Division of Continuing Education. Architect of the Circular Economy Program at UCLA Extension and the Circular Economy online course at UC Berkeley Extension. Co-founder, Plastic Pollution Coalition; CEO and co-founder, SUPER (Single-Use Plastics Elimination or Reduction). Co-founder, Viento.ai, applying machine learning to climate disaster response. Adviser to the Long Now Foundation; producer associated with the award-winning documentary Albatross on plastic pollution. Author of the forthcoming book The Meaning Economy on regenerative economics; speaking clients include Google, NASA, Salesforce, LinkedIn, Dell, Uber and Santander. Biography Most sustainability programmes inside large companies are still organised around doing less harm. They count carbon, swap materials, and add disclosures, while the core business model continues to extract, consume and discard. The leaders running them know the gap, and they are looking for a credible account of what an actual circular or regenerative business looks like. That account is the working content of Manuel Maqueda’s teaching at Harvard’s Division of Continuing Education, where he is Special Program Instructor in Applied Circular Economics and Regenerative Economics. He built the equivalent programmes at UCLA Extension and UC Berkeley Extension. The frame he uses is practical: maintain the value of materials, components and products in use; eliminate waste and pollution by design; and where possible restore natural capital rather than only protecting it. His authority is not only academic. He co-founded the Plastic Pollution Coalition, a global alliance on plastics, and runs SUPER, a tiered certification programme for businesses eliminating single-use plastics from their operations. Through Viento.ai he co-founded a venture applying machine learning to climate disaster response, which gives him a working view of where AI helps and where it does not in the climate agenda. Maqueda has advised the Long Now Foundation, contributed to the documentary Albatross, and speaks for clients including Google, NASA, Salesforce, LinkedIn, Dell and the New Plastics Economy Conference. His forthcoming book The Meaning Economy sets out his case that only regenerative thinking provides a serious framework for the next phase of climate action and commercial reinvention. Key speaking topics Circular economy strategy and implementation Regenerative economics and business models Plastic pollution and materials innovation Sustainability failure modes inside large organisations Supply chain redesign for circularity AI for climate resilience and disaster response Ideal for Boards and executive committees of consumer goods, retail, materials and industrial companies revisiting their sustainability strategy. Chief Sustainability Officers, Chief Supply Chain Officers and Chief Strategy Officers preparing the next ESG operating cycle. Innovation, R&D and product leaders responsible for materials choices and packaging redesign. Policy, public sector and city government audiences working on plastics, circularity and climate adaptation. Audience outcomes A working distinction between eco-efficiency, circular and regenerative business models, and where each one actually applies. The specific failure patterns that make corporate sustainability programmes stall, and what to do instead. A view of where AI changes the climate and resilience agenda for executives, and where it does not. Language and examples senior leaders can use with their board when proposing a more ambitious sustainability operating model.

Why organisations work with Joe Toscano He left Google over the data practices he saw inside it, then wrote the book on what those practices look like from within. That insider account is hard to replicate at the keynote level. His work translates AI and privacy debates into specific operating decisions: what data to keep, what to delete, what to disclose, and where consent breaks under regulatory scrutiny. As founder of DataGrade and BEACON, he speaks from the position of someone running a privacy-first business, not commenting on one from outside. His public visibility through The Social Dilemma, Fox News, and Forbes means he can hold a non-technical audience on a technical subject without dropping the substance. Biography highlights Featured expert in Netflix’s The Social Dilemma. Author of Automating Humanity (powerHouse Books / Simon & Schuster). Founder and CEO of DataGrade. Founder of the Better Ethics and Consumer Outcomes Network (BEACON). Former Experience Design consultant for Google. TEDx speaker; Forbes contributor; recurring Fox News technology commentator. Biography The companies setting the rules for how consumer data trains AI systems are also the companies whose products most depend on that data. That conflict sits at the centre of Joe Toscano’s work. He came out of Silicon Valley with a designer’s view of how those products are built, then turned that knowledge outward. Toscano was an Experience Design consultant for Google before stepping away in 2017 over what he saw of the industry’s data practices. Automating Humanity, his book with powerHouse Books, set out the argument in detail: how attention is engineered, how disinformation pays, and how automation is being trained on data the public never knowingly handed over. He went on to found DataGrade, a privacy-first data company, and BEACON, a network focused on technology literacy and ethical innovation. The Netflix documentary The Social Dilemma brought that work to a mass audience, and he has since become a regular technology commentator on Fox News and a contributor to Forbes. What makes him useful to boards is the combination of inside knowledge and operating responsibility. He is not theorising about AI governance from a lectern. He is building a company that has to make those decisions every day, and translating that into language a non-technical executive team can act on. Key speaking topics AI ethics and governance Data privacy and consumer trust The business case for privacy-first design Technology literacy for non-technical leaders The future of work under AI and automation Disinformation and platform accountability Regulation and the post-GDPR landscape Ideal for Boards and executive committees setting AI and data governance standards Chief Privacy Officers, CISOs, and Chief Data Officers CMOs and customer experience leaders weighing personalisation against privacy HR and transformation leads planning workforce change driven by AI Audience outcomes A clearer line between defensible and indefensible uses of customer data in AI systems Specific questions a board should be asking about model training data and consent A working view of how privacy can be a commercial advantage, not just a compliance cost Sharper judgement about what to believe and discount in vendor pitches on AI capability

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

Why organisations work with Aric Dromi Nine years as an in-house Futurologist at Volvo Cars gives him an operator’s view of how a global manufacturer actually absorbs autonomous, electric and connected technology, not a consultant’s slide on it. He works across the same problem from three angles, corporate strategy, government policy and civic infrastructure, which is unusual in technology foresight and useful when a brief touches more than one of them. Founder of TEMPUS.MOTU and advisory board member at NTT Innovation Institute and UNLEASH, with a network that spans telecoms, mobility, energy and the UN Sustainable Development Goals agenda. Pushes against deck-driven strategy. His stated rule, that any strategy worth executing should fit on a napkin, lands well with executives tired of frameworks that do not survive contact with the operating business. Comfortable in uncomfortable territory. He frames himself as a “professional troublemaker” and is booked for sessions where leadership wants their assumptions stress-tested, not validated. Biography highlights Nine-year tenure as in-house Futurologist at Volvo Cars, advising on autonomous, electric and connected vehicle strategy. Founder of TEMPUS.MOTU, a strategic advisory and think tank serving corporate and public-sector clients. Advisory board, NTT Innovation Institute, the corporate research arm of NTT Group. Innovation Advisory Board, UNLEASH, the global innovation lab built around the UN Sustainable Development Goals. Earlier roles at Ericsson, Microsoft and Cellcom, where he was Chief Knowledge Officer. Author of The Intellectual Rage and The Prophet, plus further titles published under the pen name D.B. Solomon. Biography Volvo did not hire a futurologist for nine years to predict the next car. It hired one to help the leadership team work out what a car company even is once mobility becomes autonomous, electric and connected. That brief, sustained over almost a decade inside one of Europe’s most identifiable industrial brands, is the foundation of how Aric Dromi thinks. He now runs TEMPUS.MOTU, a strategic advisory and think tank that takes the same posture into other sectors. The work spans corporate strategy, government policy and city-scale infrastructure, with engagements that have included clients such as Mastercard, Siemens, Volkswagen, Telefonica, the World Bank and the IFC, alongside government work in Kazakhstan and Moscow city. His public positions reflect the same range. He sits on the advisory board of NTT Innovation Institute, the research arm of one of the world’s largest telecoms groups, and on the Innovation Advisory Board of UNLEASH, the global lab built around the UN Sustainable Development Goals. The point of those affiliations is not credentialing. It is access to the actual conversations where technology, capital and policy are being negotiated. Dromi is direct about what he is for and what he is against. He calls himself a professional troublemaker, writes books that read more like critiques than playbooks, and tells executive audiences that any strategy worth doing should fit on a napkin. Leaders book him when they want their assumptions broken in a room where it still costs less than breaking them in the market. Key speaking topics AI, automation and the future of work Autonomous and connected mobility Smart cities and urban infrastructure Data, privacy and digital governance Strategic foresight under exponential change Innovation strategy and corporate transformation Geopolitics of technology Ideal for Boards and CEOs of industrial, mobility and energy businesses are confronting AI and automation as a strategy question, not an IT one. CSOs, CIOs and heads of innovation are responsible for translating foresight into operating decisions. Government and city leaders are working on smart-city, mobility and digital infrastructure programmes. Executive offsites and leadership summits where the brief is to break orthodoxies, not confirm them. Audience outcomes A clearer view of how AI, automation and connected systems will reshape the audience’s specific industry, not technology in general. Sharper questions for the next strategy cycle, framed around capability, governance and societal licence to operate. A working sense of where corporate, policy and civic decisions intersect, and where leaders are exposed when they assume they do not. Confidence to retire foresight tools that no longer survive contact with the operating business. A direct, sometimes uncomfortable challenge to assumptions the leadership team has stopped questioning.

Why organisations work with Christian Byrge He treats creativity as a skill that can be coached into a team, not a culture project. Leaders leave with specific habits they can run on Monday morning, not a manifesto. He has a working position on AI in the creative process, grounded in current research, that goes beyond the prompt-engineering surface most innovation talks stop at. His research base is unusually deep for a speaker in this category: 70+ academic publications and a full professorship, paired with operational training inside LEGO, Maersk, Novo Nordisk, Grundfos, and the Danish Armed Forces. He is comfortable in front of an executive audience and inside a workshop room. Same content holds at both altitudes, which makes him useful when the brief is a keynote that has to seed follow-on internal work. Biography highlights Full Professor of Business Creativity, Vilnius University Business School. PhD in Creativity and Business, Aalborg University. Author of Everyday Innovator (BIS Publishers), How to Teach Creativity, and Enhancing Creativity for Individuals, Groups and Organizations. 70+ academic publications across creativity, team creativity culture, creative self-efficacy, and AI creativity. Worked with LEGO, Maersk, Novo Nordisk, Velux, Grundfos, Danfoss, Siemens, Kompan, TotalEnergies, and the Danish Armed Forces. Trained creative practice with practitioners across engineering, law, healthcare, software, education, and film production. Biography Innovation programmes inside large organisations tend to fail in the same way. They start with energy, produce a portfolio of pilots, and stall when the original sponsor moves on. The diagnosis is usually written as a cultural problem. Christian Byrge’s research argues something more precise: the failure point is that idea generation was never built as a team skill in the first place. That argument is the core of his three books and seventy-plus academic publications. Everyday Innovator, published by BIS Publishers, names four habits that turn creative output into a repeatable behaviour rather than a mood. How to Teach Creativity and Enhance Creativity for Individuals, Groups, and Organizations extends the same logic into education and organisational design. The thread across all three is treating creativity as a trainable capability with named components, not an ambient quality of the workplace. He holds a full professorship in Business Creativity at Vilnius University Business School and a PhD from Aalborg University. The academic base matters because his recent work on AI in the creative process is one of the few executive-level treatments grounded in current research rather than vendor framing. He has trained creative practice inside LEGO, Maersk, Novo Nordisk, Velux, Grundfos, Siemens, and the Danish Armed Forces, which gives the research weight in front of an operating audience. The room he is most useful in is the one where leadership has decided innovation matters, but cannot describe what their teams should actually do differently on Tuesday. He gives them the answer in specific behaviours, not in a vision deck. Key speaking topics Team creativity as a trainable discipline Innovation capability inside operating teams AI-supported creative process Creative confidence and self-efficacy Idea generation and development practice Creative culture in regulated and engineering environments Ideal for CHROs and L&D leaders building innovation capability across the workforce Heads of innovation, R&D directors, and transformation leads Executive teams in engineering, life sciences, and industrial sectors, where creativity is treated as soft Educators and learning system leaders are responsible for creative competence development Audience outcomes A working definition of team creativity is a set of named behaviours, not a personality trait The four habits from Everyday Innovator are mapped to the audience’s own operating context A grounded view of where AI helps and where it flattens the creative process Specific practices senior leaders can install in standing meetings to lift idea quality A clear separation between creative culture rhetoric and creative output discipline

Why organisations work with Hamilton Mann He runs digital and AI transformation at Thales across 68 countries in defence, aerospace, cybersecurity and digital identity, so the advice he gives boards is the advice he himself has to act on inside one of the most regulated operating environments in the world. Artificial Integrity is a published, named framework with a Wiley imprint behind it and a Thinkers50 Distinguished Achievement Award in Digital Thinking. Buyers get a defensible reference point, not a personal opinion. He teaches AI strategy at INSEAD, HEC Paris and EDHEC Business School, which means the content travels at executive education register without being either academic or vendor-coloured. He bridges the two AI conversations boards are stuck between: the engineering question of what the system can do, and the governance question of what the organisation can defend. Most speakers credibly cover one side. Biography highlights Group Vice President, Digital Marketing and Digital Transformation, Thales (defence, aerospace, cybersecurity, digital identity, 68 countries). Author, Artificial Integrity: The Paths to Leading AI Toward a Human-Centered Future (Wiley, October 2024). Thinkers50 Radar 2024 (top 30 emerging business thinkers globally); Thinkers50 Distinguished Achievement Award in Digital Thinking, 2025. Senior Lecturer at INSEAD, HEC Paris and EDHEC Business School; Mentor, MIT Priscilla King Gray Public Service Center. Forbes US contributor on AI; published in Stanford Social Innovation Review, California Management Review, Rotman Management, Knowledge@Wharton, INSEAD Knowledge, I by IMD, Harvard Business Review France. Host of The Hamilton Mann Conversation, a podcast on Digital for Good. Biography The harder problem in enterprise AI is no longer model performance. It is the gap between what a system can do and what an organisation can defend in front of a regulator, a court, a journalist or a customer. Hamilton Mann named that gap and gave it a discipline. His book Artificial Integrity, published by Wiley in October 2024, argues that AI design has spent a decade optimising for intelligence and almost no time on integrity, by which he means systems that demonstrate ethical, moral and social reasoning and remain continuously assessable in that capacity. The argument earned the Thinkers50 Distinguished Achievement Award in Digital Thinking in 2025 and a place on the Thinkers50 Top 10 New Management Books list the same year. The credibility comes from operating reality as much as from publishing record. As Group Vice President for Digital Marketing and Digital Transformation at Thales, Mann runs digital and AI initiatives across 68 countries inside a defence, aerospace, cybersecurity and digital identity business, the kind of environment where a poorly governed AI decision has consequences beyond reputational damage. He carries that lens into his teaching at INSEAD, HEC Paris and EDHEC, his mentoring at MIT’s Priscilla King Gray Public Service Center, and his Forbes US column on AI and society. For a board or executive committee debating AI deployment, the value is concrete. Mann sits at the intersection of three conversations most organisations try to hold separately: the technical, the governance and the strategic. He has a published framework, an operator’s track record and the standing to challenge a leadership team without retreating into either ethics theory or vendor pitch. Key speaking topics Artificial Integrity as an AI design discipline Responsible AI deployment in regulated industries Digital and AI transformation at enterprise scale AI governance for boards and executive committees Digital for Good and the paradoxes of technology Human-centred AI strategy Leadership in the age of AI Ideal for Boards and executive committees setting AI policy and risk appetite Chief AI Officers, CIOs, CTOs and Chief Digital Officers responsible for enterprise deployment Regulated industry leadership in defence, financial services, healthcare, energy and public sector Senior leadership programmes and executive education on AI strategy Audience outcomes A working definition of Artificial Integrity that a leadership team can use to evaluate its own AI portfolio A clearer view of where current AI deployments create defensibility risk and where they create operating advantage The vocabulary and framework to challenge vendors, internal AI proposals and governance gaps with the same standard A reference point grounded in both a published Wiley title and an active operating role at one of Europe’s largest technology groups

Why organisations work with Carme Artigas Access to the EU AI Act from the inside: as the Council Presidency’s chief negotiator when the Act was concluded in December 2023, she knows which provisions were contested, how they were resolved, and where enforcement questions remain open – clarity that no commentator or academic can replicate. A UN-level governance map built from the source: as Co-Chair of the UN High-Level Advisory Body on AI, she coordinated 39 experts across 33 countries to produce Governing AI for Humanity – the blueprint for global AI oversight that national strategies and multilateral institutions are now implementing. She co-chaired the body alongside Google Senior Vice President James Manyika. A regulatory perspective grounded in commercial reality: she co-founded Synergic Partners and built it to 150 data scientists before Telefónica acquired it in 2015. Her understanding of AI governance is not abstract – it is shaped by how data and AI deployments actually function inside commercial organisations. The only person to have designed a national AI governance system from the ground up: as Spain’s inaugural Secretary of State for Digitalisation and AI, she built the National AI Strategy, data economy strategy, digital rights charter, and the first AI supervision agency on the European continent – giving her unusually concrete insight into what governance implementation demands of organisations. An active research presence at the frontier: as a Senior Fellow at Harvard Kennedy School’s Belfer Center, she continues to work on current AI governance and technology policy questions alongside leading security and policy scholars – not recounting past decisions. Biography highlights Spain’s first Secretary of State for Digitalisation and Artificial Intelligence (2020–2023); simultaneously president of the National Cybersecurity Institute and the Spanish Agency for the Supervision of AI Chief Council negotiator for the EU AI Act, concluded under Spain’s Presidency of the Council of the European Union in December 2023 – the world’s first comprehensive legal framework for artificial intelligence Co-Chair, UN Secretary-General’s High-Level Advisory Body on Artificial Intelligence (2023–2024); co-produced Governing AI for Humanity with James Manyika (Google Senior Vice President) and 37 other experts from 33 countries Senior Fellow, Belfer Center for Science and International Affairs, Harvard Kennedy School; first Spanish woman to hold the position Co-founder and CEO, Synergic Partners – built to 150 data scientists, acquired by Telefónica in 2015; previously CEO of Ericsson Innova (Ericsson Group’s European venture capital fund) Women in Tech Global Awards 2025, Lifetime Achievement; Stanford University Ambassador for Women in Data Science; member of the European Council on Foreign Relations (ECFR) Biography The EU AI Act is the world’s first comprehensive legal framework for artificial intelligence. Its provisions determine which AI applications organisations can legally deploy, which require conformity assessments, and which are prohibited. Most executives know the regulation exists. Few understand its architecture. Carme Artigas did not comment on these negotiations – she led them. As Spain’s first Secretary of State for Digitalisation and AI, she was the Council Presidency’s chief negotiator when the EU AI Act was concluded in December 2023. She had already built the foundations from scratch: Spain’s National AI Strategy, digital rights charter, data economy strategy, and the first AI supervision agency on the European continent. In parallel, she co-chaired the United Nations High-Level Advisory Body on AI – a 39-member group spanning 33 countries, convened by Secretary-General Guterres in October 2023. The body’s final report, Governing AI for Humanity, published in September 2024, proposed the first architecture for inclusive global AI oversight. She co-chaired it alongside Google Senior Vice President James Manyika. Before government, she co-founded Synergic Partners – a big data consultancy she built to 150 data scientists before Telefónica acquired it in 2015, remaining as CEO through full integration into the Group. As a Senior Fellow at Harvard Kennedy School’s Belfer Center since 2023, she continues to engage with governance questions at the intersection of technology, security, and public policy. Key speaking topics EU AI Act implementation and strategic compliance Global AI governance frameworks AI governance and responsible AI deployment Data strategy and big data Digital transformation and national digital policy International technology cooperation and geopolitics of AI Women in technology and digital leadership Ideal for Boards and C-suites with active AI strategies navigating EU AI Act obligations and global regulatory exposure Chief Legal, Risk, and Compliance Officers mapping their organisation’s AI regulatory position Chief Digital and Technology Officers operating in or supplying to European markets Government and public sector leaders developing or stress-testing national AI governance frameworks Audience outcomes A clear understanding of what the EU AI Act actually requires – which AI applications are prohibited, which are designated high-risk, and what conformity assessment obligations apply Insight into how the global governance architecture is developing at UN level and how it intersects with European regulation A framework for elevating AI governance from a compliance function to a board-level strategic priority Understanding of where the regulatory fault lines remain open and where future enforcement is likely to concentrate Practical language and reference points to brief boards, regulators, and partners on AI governance obligations

Why organisations work with Elaine Kasket She is one of the few cyberpsychologists in Europe who is also a clinically trained, HCPC-registered counselling psychologist, which means her advice on digital wellbeing is grounded in clinical practice, not commentary. Her work covers technology across the full lifespan, from “sharenting” to digital afterlife, which gives leaders a coherent framework for thinking about the employee, the customer, and the citizen as the same person. She wrote the definitive trade book on digital death and digital legacy, All the Ghosts in the Machine, and now leads on the psychology of AI companions and grief bots, an area few executive audiences have heard explained well. She has consulted to organisations including Netflix, Santander, Deloitte, the NHS and Hill & Knowlton Strategies, so the work translates from research into board-level conversations about AI, attention and surveillance. Her newest book, Reset, gives leadership teams a practical vocabulary for agency over technology rather than the usual digital detox framing, which most senior buyers find too thin for adult professional audiences. Biography highlights BPS-Chartered Psychologist and HCPC-Registered Counselling Psychologist; Associate Fellow of the British Psychological Society Visiting Professor at the Centre for Death and Society, University of Bath; formerly Honorary Professor of Psychology at the University of Wolverhampton Author of Reset: Rethinking Your Digital World for a Happier Life (Elliott & Thompson, 2024) and All the Ghosts in the Machine (Robinson, 2019) TEDx Oxford speaker; featured expert in the Netflix documentary The Future Of: Life After Death Regular contributor to BBC Radio 4 Woman’s Hour, CNN, BBC Ideas, The Guardian, New Scientist, Psychology Today and Stylist Keynote engagements include Santander, Deloitte, the NHS, Royal Society of Medicine, Congreso Futuro, re:publica and the International Baccalaureate global conference Biography Most organisations talk about digital wellbeing in the language of the wellness industry: detoxes, screen-time apps, mindful breathing. The actual psychological problem is structural. Attention is being extracted, identity is being recorded, and the costs are showing up in engagement, retention and clinical mental health caseloads. That gap between the corporate vocabulary and the clinical reality is the space Elaine Kasket works in. She trained as a counselling psychologist before cyberpsychology was a discipline, and is registered with the HCPC alongside her chartered psychologist status with the British Psychological Society. That clinical grounding is what separates her commentary from the commentary economy around technology. She led the Doctorate in Counselling Psychology at Regent’s University London, was Honorary Professor of Psychology at the University of Wolverhampton for five years, and is now Visiting Professor at the Centre for Death and Society at the University of Bath. Her first trade book, All the Ghosts in the Machine (Robinson, 2019), opened a serious public conversation about digital legacy: what happens to your data, your accounts and your image when you die, and what that means for the people who outlive you. Reset: Rethinking Your Digital World for a Happier Life (Elliott & Thompson, 2024) extends the argument across the full lifespan, from “digital gestation” and sharenting to surveillance, AI relationships and the digital afterlife. For leadership audiences, she connects four conversations executives often run as separate problems: employee mental health, AI adoption, brand trust and data governance. Her recent keynotes for Santander, Deloitte, the NHS, the Royal Society of Medicine and Congreso Futuro have moved leaders away from “digital detox” framing and toward agency, the design question of how a workforce uses AI without losing the cognitive and relational ground organisations actually run on. Key speaking topics Cyberpsychology and digital wellbeing Psychology of AI adoption at work AI companions, grief bots and the future of human connection Digital legacy, data privacy and digital afterlife Attention, surveillance and the extractive attention economy Technology across the lifespan, from sharenting to digital afterlives Ideal for CHROs and Chief People Officers designing wellbeing, engagement and AI-readiness programmes Chief AI Officers and transformation leads embedding AI into employee experience and customer-facing tools Brand, marketing and communications leadership teams working on trust, privacy and AI narratives Boards and risk committees considering the human and reputational dimensions of data, surveillance and AI Audience outcomes A clinically grounded read on what technology is actually doing to attention, identity and relationships at work A vocabulary for talking about digital wellbeing that holds up in front of clinicians, regulators and senior employees A clearer view of where AI companions, grief bots and synthetic relationships intersect with workforce mental health and brand risk A practical sense of what individual and organisational agency look like in an extractive attention economy A framework that connects digital legacy, data governance and employee trust as one coherent leadership question

Why organisations work with Ashlea Atigolo She has co-built a generative AI product, Finley AI, that has been recognised on the WealthTech100 2024 list, so the advice she offers boards is grounded in shipped technology rather than commentary. She brings a regulated-industry lens. Her work spans wealth management, private equity and fintech, where the question is not whether to deploy AI but how to do it without breaking trust, compliance, or customer relationships. She is a credible voice on women in AI without leaning on the topic alone. The named recognition (TechRound Top 64 Women in Tech, Great British Businesswoman finalist, Fintech Powerlist) sits alongside the technical and commercial credentials. She is equally fluent as a keynote speaker, panel host and workshop facilitator, which makes her a flexible fit for AI summits, leadership offsites and investor-facing events. Biography highlights Co-founder of INATIGO, a generative AI venture builder. Co-founder of Finley AI, listed on the WealthTech100 2024. Managing Partner at Consult Venture Partners, advising executives on generative and agentic AI adoption. Former Co-Founder and Co-Managing Director of City Wharf Private Wealth, awarded Europe’s Most Innovative Wealth Management Model at the 2021 WealthBriefing European Awards. Listed on TechRound’s Top 64 Influential Women in UK Technology (2022) and named on the Fintech Powerlist. Speaker and host at Fintech Week London, Fintech Connect and Chatbot Africa AI Summit. Biography Most organisations have an AI strategy. A much smaller number have AI in production, talking to customers, sitting inside regulated workflows and answering to a compliance function. Ashlea Atigolo works at that second layer. As co-founder of INATIGO and its flagship product Finley AI, listed on the WealthTech100 2024, she has built generative AI systems for personal finance rather than written about them. Her route into AI was operational, not academic. Before INATIGO she co-founded City Wharf Private Wealth, where her co-leadership won Europe’s Most Innovative Wealth Management Model at the 2021 WealthBriefing European Awards. That background gives her advisory work a distinctive cast. She understands wealth, private equity and fintech as live operating environments, not case studies, and her current role as Managing Partner at Consult Venture Partners is built on that. Her independent recognition is dense and recent. She has been named on TechRound’s Top 64 Influential Women in UK Technology, included on the Fintech Powerlist, and shortlisted as a finalist for the Great British Businesswoman Awards in technology. She has advised Adobe directly and has been engaged through GLG, AlphaSense and GuidePoint by executives in fintech, private equity and financial services. On stage she is most useful to organisations that need a builder’s view of generative and agentic AI: what to deploy, what to delay, how to govern it, and where the human still has to sit inside the workflow. She hosts and keynotes at Fintech Week London, Fintech Connect and Chatbot Africa AI Summit, and is equally credible in a board workshop as on a main-stage panel. Key speaking topics Generative and agentic AI in financial services AI product strategy and deployment in regulated industries Conversational and empathetic AI design Responsible AI, trust and governance Fintech and wealth management innovation Women in AI and inclusive technology teams Leadership through technological disruption Ideal for Boards and executive committees in financial services, wealth management, private equity and fintech sizing up generative or agentic AI investments. CIO, CTO, CDO and Head of Innovation audiences moving from AI pilots into operating deployment. Fintech, AI and wealth-management conferences looking for an operator-speaker rather than a commentator. Internal AI summits, leadership offsites and women-in-tech programmes inside large enterprises. Audience outcomes A clearer picture of where generative and agentic AI is genuinely production-ready in regulated industries, and where it is not. A working vocabulary for governance conversations: agents, guardrails, oversight, human-in-the-loop. A view of how a builder, not a vendor, sequences AI adoption inside a regulated business. Named examples of fintech and wealth-management deployments that buyers can take into their own strategy conversations.

Why organisations work with Dhiraj Mukherjee He has done the thing most innovation speakers describe. Shazam was a category invention before mobile internet was mainstream, and it ended with a reported $400 million sale to Apple. A 250-company investment portfolio across AI, climate tech and frontier software gives him a working map of which emerging technologies are moving from pilot to operating substance and which are stalling. Direct line of sight into capital flows alongside Bill Gates’s Breakthrough Energy Ventures and Al Gore’s Generation Investment Management, which is rare for a keynote speaker working on climate and AI together. Operator credibility inside large incumbents as well as start-ups, including Head of Banking Innovation at Virgin Money and senior roles at Bauer Media, Infosys and Reuters. Named to the Financial Times’ Top 50 European technology entrepreneurs, The Digital Banking Club’s Power 50 and Smith & Williamson’s Power 100, which positions him as a credible voice on UK and European innovation policy as well as commercial strategy. Biography highlights Co-founder of Shazam Entertainment, acquired by Apple in 2017 for a reported $400 million Named to the Financial Times’ Top 50 European technology entrepreneurs (2015) Elected to The Digital Banking Club’s Power 50 (2016) and Smith & Williamson’s Power 100 (2017) Angel investor in over 250 technology companies across AI, climate tech and “Tech for Good” Former Head of Banking Innovation, Virgin Money; previous roles at Bauer Media, Infosys, Reuters and Save the Children Mathematical Economics degree, Dartmouth College; MBA, Stanford Graduate School of Business Biography Shazam was launched in 2000, before smartphones, before app stores, before mobile data was reliable enough to stream a song. The team built a service that recognised music by sound from a feature phone over a voice call. Eighteen years later, Apple bought the company for a reported $400 million. Dhiraj Mukherjee co-founded it. That history matters because it is the practical version of what most boards are now trying to do with AI. Identify a capability that the technology curve will eventually make obvious, build it before the market is ready, survive long enough to be right. Shazam went through the dot-com crash and the 2008 financial crisis on the way to Apple, which is why his perspective on category-building is closer to operating experience than to theory. Since exiting Shazam, Mukherjee has invested in more than 250 technology companies, with a declared focus on AI, climate tech and “Tech for Good.” He has co-invested into Breakthrough Energy Ventures, the climate vehicle backed by Bill Gates, and into Al Gore’s Generation Investment Management, which gives him an unusual vantage point on where institutional capital is actually moving across the AI and energy transition curves. His earlier career sits inside large incumbents, including Head of Banking Innovation at Virgin Money and senior roles at Bauer Media, Infosys and Reuters. The Financial Times named him to its Top 50 European technology entrepreneurs in 2015, and he holds an MBA from Stanford Graduate School of Business and a Mathematical Economics degree from Dartmouth. Key speaking topics Emerging technology and AI strategy Innovation and category creation Climate tech and the energy transition investment case Digital transformation inside large incumbents Resilience and the long arc of building a technology company Tech for Good and impact investing The future of work in the age of AI Ideal for CEOs, CSOs and innovation leads setting AI and emerging-technology strategy Boards and investment committees pressure-testing capital allocation across AI and climate Senior leadership teams inside banks, media and consumer businesses navigating digital transformation Founder and scale-up audiences inside corporate venturing and accelerator programmes Audience outcomes A sharper read on which emerging technologies are moving from pilot to operating advantage and which are stalling A working framework, drawn from Shazam, for how categories actually get built through downturns An investor’s view of where AI and climate-tech capital is concentrating, and what that signals for corporate strategy A more honest sense of the time, capital and persistence required to compound a technology bet into commercial outcome