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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 Hannah Fry Hello World (2018) advances a specific governance argument: that AI fails not because the technology is wrong, but because accountability was poorly designed. That gives boards a working framework for AI governance, not just a sharper awareness of risk. Her UCL research was applied directly – she worked with governments, police forces, health analysts, and supermarkets, translating mathematical models of human behaviour into operational decisions. That applied track record is what separates her algorithmic analysis from academic commentary. The accuracy-versus-fairness trade-off in predictive systems is a mathematical problem before it is an ethical one. She can explain it precisely enough for legal, compliance, and strategy leaders to translate it into governance decisions – not just for data teams. She holds Cambridge’s inaugural Professorship in the Public Understanding of Mathematics – a chair that formalises the argument that making quantitative thinking accessible to non-specialists is itself a research discipline. As President of the Institute of Mathematics and its Applications and a Fellow of the Royal Academy of Engineering, her institutional credibility extends well beyond media profile. Biography highlights First Professor of the Public Understanding of Mathematics at the University of Cambridge (from January 2025), joining the Department of Applied Mathematics and Theoretical Physics Previously Professor in the Mathematics of Cities at UCL Centre for Advanced Spatial Analysis; research applied to urban crime, transport, health analysis, and terrorism, with direct advisory roles across government and industry Fellow of the Royal Academy of Engineering (elected 2022) and Fellow of Queens’ College, Cambridge President of the Institute of Mathematics and its Applications Author of Hello World: How to Be Human in the Age of the Machine (2018) – winner of the 2020 Asimov Prize; shortlisted for the Baillie Gifford Prize for Non-Fiction and the Royal Society Science Book Prize Christopher Zeeman Medal (2018) and Royal Society David Attenborough Award (2024) for contributions to science communication Delivered the 2019 Royal Institution Christmas Lectures – only the fourth mathematician to do so since Michael Faraday established the series in 1825 BBC presenter across AI Confidential with Hannah Fry (2026), The Secret Genius of Modern Life (BBC Two), and Bloomberg Originals’ The Future with Hannah Fry (2023); regular contributor to The New Yorker; TED Talk «The Mathematics of Love» has exceeded five million views Biography Hannah Fry spent over a decade at UCL studying the mathematics of cities – how people move through urban space, where crime clusters, how disease propagates through populations. Her research was applied: she worked directly with governments, police forces, health analysts, and supermarkets. The question she returned to consistently was what happens when those decisions are automated, and whether the automation can be trusted. Her book Hello World (2018) answered that question with precision. Algorithms are not objective – they encode the biases embedded in the data they were trained on, often before anyone noticed. The response, she argued, is not to distrust AI but to design governance that keeps humans genuinely in the loop. She called this the «cyborg future» – a practical framework for accountability, not a metaphor. The book won the 2020 Asimov Prize and was shortlisted for the Baillie Gifford Prize for Non-Fiction and the Royal Society Science Book Prize. In January 2025, she became Cambridge’s first Professor of the Public Understanding of Mathematics, following in the footsteps of David Spiegelhalter and Stephen Hawking as a public interpreter of the discipline. She also serves as President of the Institute of Mathematics and its Applications and holds a Fellowship of the Royal Academy of Engineering. Her media work extends the argument across audiences that no academic publication reaches. BBC Two’s AI Confidential with Hannah Fry (2026) investigated how AI is reshaping human relationships and institutional decisions. The Secret Genius of Modern Life ran over two BBC Two series. She delivered the 2019 Royal Institution Christmas Lectures – only the fourth mathematician in the lectures’ 200-year history to do so – and writes regularly for The New Yorker. For leadership teams moving from AI adoption to AI accountability, that combination of mathematical rigour and public clarity is not a communications asset. It is the substance of what she brings. Key speaking topics AI and algorithmic decision-making Data bias and algorithmic fairness Human-machine governance Risk and probability in complex systems The mathematics of human behaviour Urban data and city systems Science communication and mathematical literacy Ideal for Executive and board-level audiences setting AI governance and risk policy Chief Data Officers, Chief Technology Officers, and senior technology strategy teams Leadership conferences addressing responsible AI adoption in regulated industries – healthcare, financial services, criminal justice Public sector audiences navigating the use of predictive and automated systems Audience outcomes A clearer understanding of how algorithmic bias is produced and why it is mathematically difficult to eliminate without deliberate trade-offs A practical mental model – drawn from the Hello World framework – for when to trust algorithmic output and when to retain human judgment Confidence to engage substantively with AI governance questions without requiring deep technical knowledge Greater ability to interrogate the assumptions behind data-driven outputs, rather than treating them as authoritative A vocabulary for discussing AI risk that is precise and usable in board-level and policy conversations

Why organisations work with Harriet Farlow She held operational responsibility for AI security inside a signals intelligence agency, as Acting Technical Director of the AI Hub at the Australian Signals Directorate. Her stated purpose in going commercial is to transfer that standard of scrutiny to civilian organisations. The technical work is her own. Her DEF CON 32 main stage talk presented original research attacking computer vision systems, and Practical AI Security ships more than 30 runnable Python demos of the attacks and defences it describes. She has built the things she recommends: the first AI security framework in an Australian government department outside national security, and the first mandatory AI security training programme in an Australian organisation. She holds the same subject at two levels of technical depth, from work with organisations including HSBC, Mastercard, and Lenovo to main stage research talks at DEF CON and BSides Las Vegas. Biography highlights Founder and CEO of Mileva Security Labs, Australia’s first dedicated AI security company, now operating from Australia and London Author of Practical AI Security (No Starch Press, 2026), a 392-page technical guide covering the AI attack lifecycle, red teaming, safety evaluation, and governance Former Acting Technical Director of the AI Hub at the Australian Signals Directorate, working with Five Eyes intelligence partners PhD in machine learning security, UNSW Canberra; Master’s in Cyber Security; BSc in Physics and Anthropology, ANU Main stage speaker at DEF CON 32, plus BSides Las Vegas, Black Hat MEA, and the Australian Cyber Conference Host of The AI Security Podcast; named a Vogue Codes Future Innovator finalist, December 2024, and profiled by Vogue Australia Biography The Australian Signals Directorate runs an AI Hub inside its national security remit, staffed to work with Five Eyes intelligence partners. Harriet Farlow served there as Acting Technical Director, after working across three teams at the agency. Her stated purpose in founding a company afterwards was to transfer that standard of scrutiny to civilian organisations running the same kinds of models. Mileva Security Labs, which she founded in 2023, was built to move that standard across. Through it she developed the first AI security framework in an Australian government department outside national security, and the first mandatory AI security training programme in an Australian organisation. The company now operates from Australia and London, and she has led AI security assessments for Fortune 500 companies and government agencies. The research underneath the commercial work is her own. Her DEF CON 32 main stage talk in 2024 covered her attacks on facial recognition and surveillance systems, run with the cooperation of Canberra Casino. A second talk that year examined how popular culture shapes what people expect of AI in national security. Practical AI Security followed from No Starch Press in June 2026. Its 392 pages cover data poisoning, model theft, prompt injection, red teaming, and governance, with more than 30 Python demos and threat modelling against MITRE ATLAS, OWASP, and MAESTRO. AI Security Fundamentals, her course, runs eight weeks and pairs self-paced content with live instructor-led seminars. She also hosts The AI Security Podcast. In December 2024 she was named a Vogue Codes Future Innovator finalist, an unusual credential for someone whose research subject is breaking facial recognition systems. Key speaking topics AI security and adversarial machine learning AI as an attack surface in enterprise deployment AI governance, standards, and regulatory obligation AI red teaming Nation-state threats to AI systems AI safety failures, bias, and alignment risk Human judgement and control in increasingly capable systems Ideal for CISOs and security engineering leads whose remit now includes models they did not build Boards and executive committees signing off AI deployments they cannot personally assess Chief data and AI officers, and the ML engineering teams reporting to them Risk, audit, and compliance functions preparing for AI standards and regulation Audience outcomes A working vocabulary for AI attacks, covering data poisoning, model theft, prompt injection, and evasion, and what each one does to a system in production The questions to put to a vendor or an internal team before an AI system reaches production A line between the AI risks that are live now and the ones that belong to a later decade Where AI security sits against existing controls, and the specific points at which cybersecurity practice does not transfer What national security practice assumes about adversaries, and which of those assumptions a commercial organisation should adopt

Why organisations work with Hayley Barnard Two decades advising executive boards at Microsoft, HSBC, Roche, Mercedes-Benz, Deloitte and Lidl on how inclusion changes the decisions leaders actually make about hiring and promotion. Through Mix Works, her 2025 AI and culture transformation firm, she advises leaders on responsible AI adoption and on where bias enters both human and machine decisions. Treats bias as a decision-quality problem, so leaders leave with checks they can apply in the next hiring round or AI deployment rather than a values statement. Uses her own endurance record, a solo English Channel swim and a Baffin Island traverse, as working material on decision-making under pressure. Co-designed the LeasePlan Women’s Arctic Challenge, a gender-balance campaign that ran as a verifiable all-female expedition. Biography highlights Founder and CEO, Mix Diversity Developers (2014); founder and CEO, Mix Works (2025), an AI and culture transformation firm. Founder of MixLEARN, a digital DEI learning platform. Non-Executive Director, YHA; Trustee, UFI VocTech Trust (appointed March 2025). Clients include Microsoft, HSBC, Roche, Mercedes-Benz, Deloitte, Capital One, Lidl, Diageo, GSK, Virgin Media and Vodafone. Co-led the LeasePlan Women’s Arctic Challenge across Baffin Island, a DEI campaign built on a live all-female expedition. Solo English Channel swim (14h 12m, no wetsuit); 20 Bridges 46km Manhattan Island swim. Biography A hiring manager shortens a shortlist. A committee weighs two candidates for promotion. Increasingly, a screening tool ranks the first round before any human sees it. The biases that shaped those calls for decades are now being trained into the systems meant to remove them. This is the territory Hayley Barnard has worked in for two decades. As founder and CEO of Mix Diversity, the consultancy she started in 2014, she advises boards at Microsoft, HSBC, Roche, Mercedes-Benz and Lidl on inclusive leadership, unconscious bias and gender balance. The brief is operational: change how decisions get made, not add another module to the intranet. In 2025 she founded Mix Works to take that question into AI. The firm helps enterprises adopt AI responsibly and examines where bias enters automated decisions, the issue leaders now face as hiring and performance tools move into machine hands. It extends twenty years of work on human judgement into how machines make the call. Her route in was unusual. She ran Sir Chay Blyth’s Challenge Business at 23 and co-led the LeasePlan Women’s Arctic Challenge, an all-female Baffin Island traverse that doubled as the company’s gender-balance campaign. The throughline is decision-making under fatigue and pressure, the same problem on an ice cap as in a promotion committee. She has since swum the English Channel solo, no wetsuit, in 14 hours and 12 minutes. Key speaking topics Bias in human and AI-driven decisions Responsible AI adoption and governance Inclusive leadership Decision quality and fairness Gender balance and women’s leadership pipelines Leadership resilience under pressure Cross-cultural team performance Ideal for Executive boards and CEO-level teams setting direction on inclusion and on responsible AI. CHROs, CPOs and heads of talent accountable for hiring and promotion outcomes. Leadership teams introducing AI into hiring, performance or customer decisions. International Women’s Day and gender-balance programmes at enterprise scale. Audience outcomes A read on where bias enters their decisions, including the ones now made by AI tools, with the moments named. Behavioural checks leaders can apply in the next hiring or promotion cycle. Questions to ask before trusting an AI-driven hiring or performance decision. A commercial case for gender balance that holds up in a board conversation. Language to challenge inclusion theatre without stalling real change.

Why organisations work with Hector Monsegur He co-founded and led LulzSec during its 2011 campaign against targets including Sony, the CIA public website, News Corporation, Stratfor, and US and UK law enforcement bodies, which gives his technical explanations a provenance no defender-only speaker can claim. Court filings credit his FBI cooperation with helping prevent roughly 300 cyber attacks on US government, military, and corporate targets; that record is a matter of public record, not self-description. He is a working penetration tester and cybersecurity research lead, currently Chief Research Officer at SafeHill, so his examples reflect live engagements rather than stories from a decade ago. His joint work with former FBI Special Agent Chris Tarbell, including the “Hacker and the Fed” podcast, means a single booking can span both the attacker and investigator perspective on the same incidents. He is direct about his own record and the decisions that led to cooperation, which is what makes him credible in front of boards and security leaders who have seen the sanitised version of this story before. Biography highlights Co-founder and de facto leader of LulzSec, the 2011 hacktivist group that breached Sony, PBS, News Corporation, Stratfor, and the public website of the CIA. FBI cooperator from June 2011, credited in federal court filings with helping prevent around 300 cyber attacks before being sentenced to time served in May 2014. Co-founder and Chief Research Officer of SafeHill, a US cybersecurity startup that exited stealth in 2025 with a 2.6 million dollar pre-seed round. Former Director at Rhino Security Labs, leading network penetration testing for financial services, retail, and technology clients. Co-host with former FBI Special Agent Chris Tarbell of the “Hacker and the Fed” podcast. Covered by CBS News, Wired, Vice, Ars Technica, and Fox News; first television interview conducted by Charlie Rose on CBS This Morning. Biography LulzSec existed for roughly fifty days in the summer of 2011 and did enough damage in that window to force boards at Sony, News Corporation, and several federal agencies to rethink their security posture. Hector Monsegur, operating under the handle Sabu, was one of six core members and the group’s public face on IRC and Twitter. The FBI identified him that June and, within twenty four hours of arrest, he agreed to cooperate. Over the next ten months he continued to appear online as Sabu while working with federal investigators, an arrangement court filings later credited with helping prevent around 300 planned attacks on targets including NASA, the US military, and major media organisations. He was sentenced in May 2014 to time served. What makes his perspective commercially useful is not the biography, it is the technical specificity behind it. He can walk a security team through how a hacktivist crew forms, how trust between members is established and exploited, how initial access is gained, and how the same operational mistakes keep appearing inside Fortune 500 networks a decade later. That work now sits inside a live engineering role. He is Chief Research Officer at SafeHill, a cybersecurity startup that raised 2.6 million dollars in pre-seed funding in 2025 to build a continuous threat exposure management platform. Alongside that he co-hosts “Hacker and the Fed” with Chris Tarbell, the former FBI special agent who ran the LulzSec and Silk Road investigations. For a security buyer, the unusual thing is that both sides of that original case are now on the same stage. Key speaking topics Attacker-side perspective on corporate cyber risk Hacktivism and the formation of online crime groups Penetration testing and offensive security Insider threat and human failure points Federal cybercrime investigation and cooperation State of the threat landscape Ideal for CISOs, heads of offensive security, and red team leaders inside banks, insurers, and large technology firms Boards and audit committees seeking an unfiltered briefing on how a modern intrusion actually unfolds Risk, compliance, and fraud leadership inside retail, payments, and critical infrastructure Cybersecurity conferences and industry events looking for a keynote that pairs operator credibility with current research Audience outcomes A first-hand account of how a hacktivist group formed, operated, and was eventually dismantled. Specific examples of where corporate defences tend to fail against a motivated attacker with time. A clearer view of the human factors that drive most successful intrusions, from insider error to social engineering. Language that senior leaders can use to brief their own boards on cyber exposure without leaning on vendor slides.

Why organisations work with I. Stephanie Boyce She led a 200-year-old national professional body through regulatory change, constitutional debate, and sector-wide reform. Her argument for accountable governance is drawn from operational experience, not advisory distance. Her AI ethics position is governance-first: as Law Society President, she led the development of a published set of principles for the ethical use of AI in legal practice, connecting AI adoption directly to legal accountability, bias mitigation, and public trust, among the earliest profession-led frameworks to do so. On inclusion, she does not argue from the outside. She held the most senior elected role in a major regulated institution as its first Black president and first person of colour, which gives her a precise read on the structural distance between a diversity commitment and a genuinely diverse institution. She connects topics most organisations treat separately, AI accountability, DEI governance, reputational integrity, crisis leadership, through the single governance question boards most often defer: when an institutional decision causes harm, who is responsible? The PUSH framework (Persevere Until Something Happens) gives leadership teams a named, teachable approach to resilience grounded in her own documented professional journey through institutional exclusion and resistance at every level of a major profession. Biography highlights 177th President of the Law Society of England and Wales (2021-2022); sixth woman, first Black office-holder and first person of colour to hold the role in the institution’s 200-year history LLM in Public Law and Global Governance, King’s College London; King’s Alumna of the Year 2022 CBE (2026 New Year Honours) for services to the Legal Profession, Diversity, and Access to Justice Commissioner, National Preparedness Commission; Commissioner, Shinkwin Commission; member, HM Treasury and BEIS independent taskforce on socio-economic diversity in UK financial and professional services Named in the Power List 100 Most Influential Black People in the UK in 2021, 2022, and 2023; Governance Hot 100 Board Influencer (2020) Paris Bar Medal from the Ordre des avocats de Paris (2024), awarded for contributions to human rights and the rule of law Fellow of the Chartered Governance Institute; Fellow of King’s College London; Fellow of the RSA Biography It took the Law Society of England and Wales two centuries to elect its first Black president. I. Stephanie Boyce became the 177th in March 2021, with 20 years of practising solicitor experience and an LLM in Public Law and Global Governance from King’s College London, qualifications that gave her both the legal standing and the governance framework for what the role required. Her presidency ran through the pandemic, sharp parliamentary attacks on the legal profession, and the most significant solicitor qualification reform in 30 years. During that time, she led the development of the Law Society’s published lawtech principles, a governance framework for the ethical use of AI in legal practice. The framework connected AI adoption to legal accountability and bias governance at a time when most profession-led work in this area had not advanced beyond aspiration. Boyce’s governance argument rests on an experience most governance advisers do not hold. As the first Black president of a 200-year-old institution, she has encountered the structural gap between stated values and leadership composition from inside the institution itself. That shapes her work on DEI accountability: framing inclusion not as a moral commitment but as a governance question: who decides, and who is responsible when structural inequality persists? She holds a CBE and the Paris Bar Medal from the Ordre des avocats de Paris, awarded for contributions to human rights and the rule of law. She is a commissioner of the National Preparedness Commission and was named in the Power List 100 Most Influential Black People in the UK in 2021, 2022, and 2023. She now works with boards and executive teams across regulated industries through Stephanie Boyce Consulting. Key speaking topics Governance and institutional accountability Ethical AI and responsible technology adoption Inclusion, representation, and belonging at leadership level Rule of law and public trust in regulated environments Social mobility and access to professional careers Resilience and leadership under scrutiny Crisis leadership and institutional change Ideal for Boards, governance committees, and general counsel in regulated industries Executive teams in financial services, legal, and public sector organisations CHROs and DEI leadership navigating the gap between policy and structural change Professional services firms managing reputational risk and stakeholder accountability Audience outcomes A clearer framework for assessing whether governance structures are built for ethical accountability rather than regulatory compliance alone Board-level questions to test whether AI adoption decisions have genuine accountability assigned, not just policy language A more precise read of the structural distance between a DEI commitment and a measurably inclusive institution Practical thinking on what institutional trust requires from those at the top, particularly during crisis and reputational pressure The PUSH framework as a named, teachable approach to institutional resilience for leaders navigating complex or high-scrutiny environments

Why organisations work with Ian Goldin He predicted in The Butterfly Defect (2014) that a pandemic would be the most likely cause of the next global financial shock, six years before COVID. Boards looking for genuine foresight on systemic risk treat that record as evidence, not branding. He forecasts growth prospects across regions, including the US, Europe, China, and Asia, and across sectors such as manufacturing, banking, and AI. Asset allocators, central banks, and multinational boards use that view to stress-test capital and operating decisions over a five to fifteen year horizon. Few speakers carry both operating and academic authority on globalisation: Vice President of the World Bank, Chief Executive of the Development Bank of Southern Africa, and Founding Director of the Oxford Martin School. His work translates directly into capital and policy decisions on geoeconomics, supply chains, urbanisation, and the impact of AI on jobs and development. These are the live questions on most international boards heading into the late 2020s. He moderates and facilitates as well as keynotes. Clients including J.P. Morgan and pharmaceutical and legal industry events have used him to open and connect multi-day programmes, shape agendas, and chair leadership conversations on top of delivering the headline keynote. Biography highlights Vice President of the World Bank (2003-2006) and Director of Development Policy (2001-2003). Chief Executive of the Development Bank of Southern Africa (1996-2001), advising President Nelson Mandela. Founding Director of the Oxford Martin School (2006-2016), establishing 45 research programmes and over 500 affiliated academics. Professor of Globalisation and Development, University of Oxford, and Professorial Fellow at Balliol College. Author of 25 books including The Butterfly Defect (Princeton, 2014), Age of the City (Bloomsbury, 2023, FT Best Books of 2023), and The Shortest History of Migration (Old Street, 2024). Writer and presenter of three BBC documentary series, including After the Crash and The Pandemic that Changed the World, and the BBC Analysis The Death of Globalisation (2023). Biography In 2014, The Butterfly Defect argued that the next major global financial shock was most likely to come from a pandemic running through the connective tissue of globalisation. Six years later, COVID proved the case. The book, written with Mike Mariathasan and published by Princeton, was Ian Goldin’s clearest statement of a thesis he had been building for two decades: globalisation has produced extraordinary gains and a new class of systemic risk that institutions are not yet built to manage. That argument carries weight because of where it comes from. Goldin was Vice President of the World Bank and, before that, Chief Executive of the Development Bank of Southern Africa, where he advised President Nelson Mandela through the early post-apartheid years. He was Principal Economist at the European Bank for Reconstruction and Development and a Programme Director at the OECD in Paris. The institutions sit behind the books. At Oxford, he founded the Oxford Martin School in 2006 and ran it for a decade, building 45 research programmes across more than 100 disciplines. He now leads three Oxford Martin programmes on technological and economic change, the future of work, and the future of development. His books, 25 in total, run from Exceptional People on migration to Age of the City on urban futures, with The Shortest History of Migration arriving in 2024. What boards and governments use him for is harder than topic coverage. It is the ability to connect migration, AI, climate, and supply chain stress into a coherent picture of where capital, talent, and political risk are moving over a five to fifteen year horizon, with the operational scars to know which policy moves actually land. Key speaking topics Economic growth prospects across countries, regions, and sectors Geopolitics, geoeconomics, and the fracturing rules-based order Systemic risk and globalisation AI, jobs, and the future of work The future of cities and urbanisation Long-horizon scenarios and crisis recovery Migration and demographic change Ideal for Boards and executive committees of multinationals navigating geopolitical exposure, supply chain risk, and growth divergence across regions. Government, central bank, and multilateral audiences setting policy on development, AI, and climate. Investor and asset-allocator forums sizing long-horizon risk across regions and sectors. CSOs, heads of strategy, and CFOs responsible for capital decisions under macro and political uncertainty. Audience outcomes A clearer reading of how today’s shocks connect: pandemics, AI, migration, climate, and political fracture as one system. Specific arguments and evidence boards can use when stress-testing strategy against the next decade of global change. A sharper view of how growth prospects diverge across regions and sectors, and what that means for capital allocation, supply chains, and talent strategy. Confidence to challenge assumptions baked into long-range plans, sourced from someone who has run the institutions setting global policy.

Why organisations work with Ian Khan He gives executive teams a diagnostic rather than a forecast. The Future Readiness Score, built from his research across hundreds of organisations, turns “are we ready for AI” into a scored view across seven operating pillars. His writing carries commercial weight. Undisrupted won the Bronze Medal at the 2025 North American Book Awards and the Non-Fiction category at the Goody Business Book Awards 2025; Metaverse For Dummies is a Wiley title. He reports on the future as a working journalist, not only a consultant. As executive producer and host of The Futurist on Amazon Prime Video, he has interviewed hundreds of global leaders on the record, which keeps his keynote content closer to evidence than to speculation. He separates AI hype from AI advantage in front of technical and non-technical rooms. His AIRS assessment gives boards a common language for where they sit on vision, use cases, data, governance, and adoption. Biography highlights USA Today bestselling author of Undisrupted, which introduces the Future Readiness Score across seven organisational pillars. Author of Metaverse For Dummies, published by Wiley. Executive producer and host of The Futurist, a streaming series on Amazon Prime Video across more than 45 regions. Director of the documentary Blockchain City and producer of additional films on AI and the future of work. Thinkers50 Future Readiness Award finalist and Thinkers360 Distinguished honoree. Media contributor and on-record commentator featured by CNN and Forbes. Biography Most AI strategy conversations stall at the same point. The executive team agrees the technology matters. Nobody can agree on what to do on Monday. Khan’s contribution is a working answer to that problem, built from research across hundreds of organisations and codified in his book Undisrupted and the Future Readiness Score that sits inside it. The Score moves the question from opinion to diagnostic. It measures an organisation across seven pillars, including engagement, learning, collaboration, culture, innovation, and execution, and returns a prioritised picture of where readiness is thin. His AIRS framework does the equivalent for AI specifically, covering vision, use cases, data, governance, and adoption. Boards use both as a shared map before they approve the next investment. Khan works across the commercial and editorial sides of technology. He is the author of Metaverse For Dummies, published by Wiley, and of additional titles on prompt engineering and value creation. As executive producer and host of The Futurist on Amazon Prime Video, he has interviewed hundreds of founders, scientists, and policy leaders on the record. Commentary work with CNN and Forbes sits alongside that. His keynote practice reflects that dual background. Audiences get a filmmaker’s feel for narrative and a consultant’s insistence on instrumentation, applied to the decisions leadership teams are actually trying to make about AI, automation, and emerging technology. Key speaking topics Artificial intelligence and generative AI strategy Future readiness and organisational diagnostics Digital transformation and enterprise technology adoption Emerging technology and disruption AI governance and responsible deployment Leadership in an AI-driven operating environment Ideal for CEOs, CIOs, and CTOs sponsoring AI strategy across business units Boards and executive committees setting technology investment priorities Transformation and digital leaders responsible for moving pilots into production Government and public-sector leaders assessing AI readiness and governance Audience outcomes A shared vocabulary for assessing where the organisation actually stands on AI and digital readiness. A prioritised view of which technology bets are worth compounding and which to retire. Sharper criteria for AI governance decisions, from data to adoption. Concrete patterns drawn from hundreds of documented executive interviews, not abstract predictions.

Why organisations work with Inma Martinez She chairs the Multi-Stakeholder Expert Group at the Global Partnership on Artificial Intelligence, the G7/OECD body whose work fed directly into Japan’s Hiroshima Process for AI Safety. That gives her a line of sight into the regulation boards will actually have to live with. She built mobile AI recommendation systems with Cambridge University and Trinity College Dublin teams in the early 2000s, before recommender systems were a category. The technical fluency is real, not borrowed. She moves credibly between Goldman Sachs alumni networks, Nokia-era telecoms, the European Commission, UNESCO, the Spanish AI Council, and Imperial College Business School. Few AI voices are taken seriously in all of those rooms. Two published books, including The Fifth Industrial Revolution, give her a coherent thesis on where digital and space economies converge, rather than a list of trends. Biography highlights Chair, Multi-Stakeholder Expert Group, and Co-Chair, Steering Committee, Global Partnership on Artificial Intelligence (G7/OECD). Member, AI Council Advisory Board, State Secretariat for AI, Spanish Ministry of Economic Affairs and Digital Transformation. Expert advisor to the European Commission on Big Data and AI since 2001; collaborator with UNIDO, UNESCO, and the European Space Agency. Guest lecturer, Imperial College Business School; Director, Master in Artificial Intelligence, Loyola University, Spain. Author of The Fifth Industrial Revolution (Deusto/Planeta) and The Future of the Automotive Industry. Career across Goldman Sachs, Cable & Wireless, and mobile-internet ventures Escape Velocity and Visual Radio (acquired by Nokia); regularly cited by the Financial Times, The Economist, Bloomberg, Fortune, and Time. Biography The hard problem in AI right now is not the model. It is the distance between what a board has committed to publicly and what the operating business can actually deploy, govern, and defend. Inma Martinez has spent the last decade working that gap from both ends. At the policy end, she chairs the Multi-Stakeholder Expert Group at the Global Partnership on Artificial Intelligence, the G7/OECD body that shapes the rules large enterprises will eventually have to operate inside. The work she led on Responsible AI, AI Innovation, and the Future of Work fed into the Hiroshima Process for AI Safety. She also sits on Spain’s AI Council Advisory Board and has advised the European Commission on Big Data and AI since 2001. At the operating end, her credentials are not theoretical. She built mobile AI recommendation systems with Cambridge University and Trinity College Dublin teams when the category did not yet exist, after a finance career at Goldman Sachs and a global director role at Cable & Wireless. Her mobile-internet ventures Escape Velocity and Visual Radio were acquired by Nokia. She has worked inside the innovation labs of IBM, HP, LG, and Apple. That combined vantage point is what makes her useful to senior leadership: she can speak to a CTO about deployment, to a chief risk officer about governance exposure, and to a CEO about what the next five years of AI regulation will do to capital allocation. Her two books, The Fifth Industrial Revolution and The Future of the Automotive Industry, set out the same thesis in long form. Named outlets including the Financial Times, The Economist, Bloomberg, Fortune, and Time turn to her when an editorial line on AI needs a serious voice. Key speaking topics Applied AI and competitive advantage AI governance, safety, and the G7/OECD policy landscape The future of work in an AI-automated economy Digital transformation for established enterprises and SMEs The Fifth Industrial Revolution and the space economy Connected mobility and the automotive industry’s digital reinvention 5G, edge and cloud computing, and the Internet of Everything Ideal for Boards and executive committees setting AI strategy and AI-governance posture CTOs, CIOs, and chief data officers moving AI from pilot into production Chief risk officers and general counsel scoping AI regulatory exposure Industry forums in financial services, automotive, telecoms, and the space economy Audience outcomes A clear read on where global AI regulation is heading, from someone shaping it A working distinction between AI as marketing narrative and AI as operating capability Specific examples of where applied AI is producing measurable advantage, and where it is failing A defensible position on the workforce implications of AI automation A sharper view of how the digital and space economies will reshape industrial strategy

Why organisations work with Jack Shaw Operator experience across successive AI waves, from expert systems and eCommerce through Knowledge-Based Expert Systems to today’s generative AI. That span of hands-on work is rare, and it is what lets him tell a board which shifts are durable and which are noise. Author of The AI Imperative Series, a planned multi-volume set examining AI transformation industry by industry. The first volume, Manufacturing’s AI Imperative, was published in April 2026; subsequent volumes covering healthcare, finance, distribution, and government are in preparation. Track record advising senior leadership at Mercedes-Benz, Siemens, GE, Caterpillar, Rockwell Automation, Coca-Cola, 3M, IBM, Oracle, and Bosch. The client mix skews industrial and regulated, which is directly relevant when the audience is not a technology company. A working framework that separates tactical AI initiatives, which can pay back inside twelve months, from strategic programmes that reshape the operating model over three to five years. The framework is built for executive teams running both tracks simultaneously without one starving the other. Presents in 26 countries and all 50 U.S. states, with material that adapts to manufacturing, distribution, financial services, and public sector audiences rather than a single vertical. Biography highlights Author of The AI Imperative Series; first volume, Manufacturing’s AI Imperative, published April 2026 Graduate of Yale University; MBA, Kellogg School of Management, Northwestern University Enterprise AI experience spanning commercial expert systems and machine learning through to today’s generative AI Former Vice President of Commercial Systems, Applied Systems Intelligence; previously led an AI software company in Knowledge-Based Expert Systems Advisor to senior leadership at Mercedes-Benz, Siemens, GE, Caterpillar, Rockwell Automation, Coca-Cola, 3M, IBM, Oracle, and Bosch Keynote presentations in 26 countries and all 50 U.S. states, across manufacturing, distribution, financial services, and public sector audiences Biography Knowledge-Based Expert Systems were running in defence and industrial settings long before ChatGPT gave AI a consumer face. Shaw was writing commercial software in that space in the 2000s as Vice President of Commercial Systems at Applied Systems Intelligence, after leading an AI software company through the previous wave. He has been inside enterprise AI since before most organisations were asking the question, which is why he can tell a board which shifts are durable and which are noise. Drawing on more than four decades in AI and enterprise technology, Shaw has delivered over 1,000 keynote presentations across 26 countries. As an AI transformation advisor, he works with senior leadership at Mercedes-Benz, Siemens, Bosch, GE, Caterpillar, IBM, Coca-Cola, and Oracle. His focus is where AI changes the economics of the business, not just its tooling. His work turns on a dual-path distinction between Tactical AI and Strategic AI. Tactical AI covers the applications that pay back inside twelve months; Strategic AI is the operating-model change that reshapes competitive position over three to five years. He frames the destination as the Autonomic Enterprise, where routine sensing and response run at machine speed and human judgement is reserved for the decisions that cannot be delegated. That thinking is now published. Manufacturing’s AI Imperative: An Executive Mandate is the first volume in The AI Imperative Series, an industry-by-industry set applying the framework to the AI decisions facing the C-suite, with volumes on distribution, government, healthcare, and finance in preparation. A Yale graduate with a Kellogg MBA, Shaw advises internationally on executive AI strategy, AI governance, and workforce transformation. He speaks directly to what boards are asking now: how to get out of pilot purgatory, how to cut the decision latency that stalls AI programmes, and how the gap between AI leaders and laggards compounds faster than in any previous technology shift. Key speaking topics Tactical AI and Strategic AI: the dual-path framework Enterprise AI from pilot to operating-model change The Autonomic Enterprise and the emerging Autonomic Economy AI governance, risk, and executive accountability Workforce transformation in the age of AI Industry-specific AI strategy for manufacturing, distribution, and regulated sectors Decision latency and compounding advantage in enterprise AI Ideal for Boards and C-suites setting enterprise AI and digital strategy CIOs, CTOs, and CDOs sequencing AI investment across competing priorities: infrastructure, workforce capability, data readiness, and vendor selection Manufacturing, automotive, distribution, and financial services leadership teams Industry associations and regulated-sector conferences asking where the technology actually lands in operations Audience outcomes A clearer read on which AI capabilities matter for their specific industry and time horizon Concrete examples from Fortune 500 deployments rather than generic case studies Vocabulary to challenge vendor pitches and internal proposals with sharper questions A dual-path framework for separating the AI initiatives that pay back inside twelve months from the strategic programmes that reshape the operating model over three to five years, with a method for running both tracks simultaneously without one starving the other

Why organisations work with James Barrat Twelve years of sustained, on-record argument about AI risk, beginning with Our Final Invention in 2013 and updated in The Intelligence Explosion in 2025. Few speakers can show that length of intellectual track record on the same question. Direct interview access to the people building frontier AI, used as primary source material rather than secondary commentary. Boards get a view from inside the labs, filtered through someone outside them. A documentarian’s craft for making technical material legible without diluting it. His PBS NOVA and National Geographic films were built for non-specialist audiences who still needed to understand the substance. Independent voice. Barrat is not selling a model, a consultancy methodology or a vendor stack. The argument is unencumbered by commercial alignment with any AI provider. Named by Time in 2014 as one of five serious thinkers on AI catastrophic risk, alongside figures including Elon Musk and Stephen Hawking. The framing has aged into mainstream policy debate. Biography highlights Author of Our Final Invention: Artificial Intelligence and the End of the Human Era (St. Martin’s Press, 2013), named a Huffington Post Definitive Tech Book of 2013. Author of The Intelligence Explosion: When AI Beats Humans at Everything (St. Martin’s Press, 2025), endorsed by Max Tegmark and Gary Marcus. Named by Time magazine as one of “5 Very Smart People Who Think Artificial Intelligence Could Bring the Apocalypse.” Award-winning documentary filmmaker for National Geographic, PBS NOVA, BBC, Discovery Channel and History Channel; credits include The Gospel of Judas, Herod’s Lost Tomb, Extreme Cave Diving, Spillover: Zika, Ebola and Beyond and Facing Suicide. Featured commentator on AI for CNN, BBC World Service and the 2018 feature documentary Do You Trust This Computer? B.A. in philosophy, Davidson College. Biography The people closest to frontier AI systems are the most candid about not understanding them. That admission, repeated by senior researchers at the leading labs, sits uncomfortably alongside the pace at which boards are being asked to commit to AI strategies, hiring plans and disclosures. James Barrat has spent over a decade interviewing those researchers and translating what they say into language that non-specialists can act on. His 2013 book Our Final Invention was among the first serious mainstream works to argue that artificial general intelligence carried catastrophic as well as commercial implications. The argument was once treated as fringe. It is now the working assumption inside policy debates in Washington, London and Brussels. Time named him in 2014 as one of five public thinkers warning seriously about AI risk. Elon Musk recommended the book publicly. The 2025 sequel, The Intelligence Explosion: When AI Beats Humans at Everything, draws on fresh interviews with the engineers and ethicists working on recursively self-improving systems. Max Tegmark and Gary Marcus have endorsed it. The book lays out the technical pathways to AGI and the governance gaps that accompany them, written for citizens and policymakers rather than for the labs themselves. Underneath the AI work sits a long career as a documentary filmmaker for National Geographic, PBS NOVA, BBC, Discovery Channel and History Channel, with credits including The Gospel of Judas, Herod’s Lost Tomb and the PBS feature Facing Suicide. That craft is what allows him to take a board through capability overhang, alignment risk and regulatory exposure in a sitting, without losing the room. Key speaking topics Autonomous AI cyberattacks and the security and regulatory response Artificial intelligence risk and governance The path to artificial general intelligence AI policy and regulation AI ethics and corporate responsibility The capability and alignment problem in frontier models AI and the future of human work Ideal for Boards and executive committees commissioning or approving enterprise AI strategy Chief risk officers, general counsel and policy leads with AI oversight responsibility Government, regulatory and public-sector audiences shaping AI policy Investor and asset-allocator audiences with concentrated AI exposure Audience outcomes A working mental model of how today’s frontier AI systems behave and where the next capability jumps are likely to come from. A sharper view of the specific governance, legal and reputational exposures AI creates for the organisation. Direct exposure to what the people building these systems actually say in private about risk. A clearer reading of the regulatory direction of travel in the US, UK and EU. Confidence to ask harder questions of internal AI teams and external vendors.

Why organisations work with James Poulter Operator credibility. He built and sold a voice AI company (Vixen Labs to House 337, 2023) before becoming a speaker. The frameworks come from running the work, not commenting on it. A named implementation model. The AI Nervous System framework, published in AI @ Work (Bloomsbury, 2026), gives leadership teams a structure for embedding AI across functions rather than treating it as a tools procurement question. Inside view of how a global brand actually adopts emerging tech. As Head of Emerging Platforms at LEGO, he led LEGO Life and the GIPHY partnership at consumer scale, so the case material is concrete. Comfortable with the ethics conversation without losing the commercial argument. He has advised the Church of England Digital Board alongside corporate clients, which signals range when the AI question shifts from productivity to governance. Biography highlights Founder and former CEO of Vixen Labs, acquired by House 337 in December 2023. Founder of ThreePoint Labs; Head of AI at Dunham & Company, Dallas. Former Head of Emerging Platforms, The LEGO Group, leading LEGO Life and the LEGO GIPHY channel. Author of AI @ Work: Rewire your team and yourself for the AI Revolution (Bloomsbury, August 2026). Advisor to the Church of England Digital Board; board roles with Christian Aid and Raiser. Client and advisory work cited with Amazon, Verizon, Bosch and Universal Music. Biography The hard part of corporate AI is rarely the model. It is what happens once a leadership team agrees to use one. Procurement, legal, brand, product, and people functions each have a stake, and most organisations have no shared structure for resolving the trade-offs between them. This is the territory James Poulter has worked in for the past decade. At The LEGO Group, as Head of Emerging Platforms, he led LEGO Life and managed the brand’s GIPHY partnership, learning at consumer scale how a heritage business absorbs new technology without breaking its existing one. He then founded Vixen Labs, a UK voice and conversational AI consultancy, scaled it through the pandemic, and sold it to House 337 in December 2023. His current work sits inside that operator lineage. Through ThreePoint Labs and as Head of AI at Dallas-based Dunham & Company, he advises leadership teams on how to move from isolated AI pilots to a coherent operating capability. His forthcoming book, AI @ Work: Rewire your team and yourself for the AI Revolution (Bloomsbury, August 2026), sets out the AI Nervous System framework, a model for connecting model choice, team design, ethics, and decision rights across the business. The client list spans Amazon, Verizon, Bosch and Universal Music, alongside advisory work with the Church of England Digital Board. The range matters: Poulter is comfortable when the conversation is about productivity gains, and equally comfortable when it shifts to governance, values, and what an organisation should refuse to automate. Key speaking topics AI implementation across the enterprise The AI Nervous System framework Conversational and voice AI in commercial strategy AI ethics and responsible deployment Innovation culture inside established organisations The future of work in an AI-native business Emerging platforms and consumer technology adoption Ideal for CEOs and executive teams sponsoring an enterprise AI agenda CTOs, CIOs and Chief AI Officers moving from pilots to operating capability CHROs and people leaders redesigning teams around AI capability Boards and advisory groups grappling with AI ethics and governance Audience outcomes A structured way to assess where their organisation actually is on AI adoption, rather than where the vendor deck claims it is A working vocabulary for the AI Nervous System framework and how its components map to real decisions Worked examples from LEGO, Vixen Labs and named enterprise clients, not generic case studies A clearer position on the ethics calls leadership has to own rather than delegate to a working group