Artificial Intelligence & Generative AI

Why organisations work with Richard Foster-Fletcher Brings a structured research practice, run through MKAI and Reality & Reason, that publishes instruments organisations can use to test the integrity of management information once AI is in the loop. Has examined AI’s effect on disclosure and decision processes through a study of 150 SEC 10-K filings across 50 US public companies, giving a quantitative spine to claims most AI keynotes leave at the anecdote. Advises across an unusually wide institutional surface: UK Parliament, the United Nations Environment Programme, governments including Tunisia, and Fortune 500 boards, so the perspective is not single-sector. Treats AI ethics as an operating problem for governance, audit, and the executive, rather than a values statement, which is the brief most boards now actually need. Holds standing as a Favikon UK Top 20 AI Researcher and Entrepreneur and a LinkedIn Top Voice in AI, both reflecting sustained public output rather than a one-off ranking. Biography highlights Founder and Executive Chair of MKAI.org, a global responsible-AI organisation established in 2019. Founder of Reality & Reason, publisher of the Management Information Integrity Addendum and the Residual Logic Scanner. Author of the weekly essay series “What Still Matters,” with a subscriber base of over 6,000 senior readers. Former AI and CX Director at Oracle; earlier career at the BBC. Member of the United Nations Environment Programme Resilience Frontiers Advisory Group. Lecturer at LSE, UCL, Oxford, Imperial College London, Cranfield, and Henley Business School. Named in the UK’s Top 20 AI Researchers and Entrepreneurs by Favikon; LinkedIn Top Voice in AI. Qualifications from MIT Sloan (Implications of AI for Business Strategy) and the University of Michigan (Data Science Ethics). Biography Most organisations now have generative AI inside their writing, analysis, and decision flows. Few have a clear view of what that is doing to the quality of the reasoning the board ultimately sees. That gap is the territory Foster-Fletcher works in. Through MKAI, the responsible-AI organisation he founded in 2019, and Reality & Reason, his editorial and research body, he publishes practical instruments for senior teams. The Management Information Integrity Addendum and the Residual Logic Scanner sit alongside a study of 150 SEC 10-K filings across 50 US public companies, looking at how AI-shaped language enters formal corporate disclosure. His advisory footprint covers UK Parliament, the United Nations Environment Programme Resilience Frontiers Advisory Group, governments including Tunisia, and Fortune 500 boards. He lectures at LSE, UCL, Oxford, Imperial College London, Cranfield, and Henley Business School, and earlier in his career held senior roles at Oracle and the BBC. The signature contribution is a framework on the structural dynamics of enterprise AI adoption, which sets out seven recurring patterns including private accumulation of capability, erosion of human capacity through routine offloading, and the narrowing of visible strategic alternatives under model-led framing. That framework is what senior buyers are usually responding to when they commission him. Key speaking topics Responsible AI governance for boards and executive teams AI strategy beyond pilots and proof-of-concept AI in management information, reporting, and disclosure The future of work in the age of generative AI AI ethics as an operating capability Decision-making and human judgement when models are in the loop Leadership in an AI-shaped organisation Ideal for Boards, audit committees, and CROs wrestling with AI as a governance and disclosure question CIOs, CDOs, and Chief AI Officers moving from experimentation to operating deployment CEOs and executive teams in regulated sectors where AI is entering decision processes Government and policy audiences responsible for AI regulation, public-sector adoption, or capability building Audience outcomes A working language for what AI is doing to the integrity of internal information and decision papers A clear map of recurring failure modes in enterprise AI adoption, drawn from the seven-pattern framework A defensible point of view on AI governance suitable for board, audit, and disclosure conversations Concrete next moves on where AI should and should not be in the reasoning chain A grounded sense of the future of judgement, expertise, and human capability inside AI-shaped organisations

Why organisations work with Aaron Frank As one of only two lead facilitators of Singularity University’s flagship five-day Executive Program, he translates emerging technology trajectories into specific decisions a senior team can make this quarter, not abstract futures. He has taught the same material to the United States Marine Corps, the Central Bank of Denmark, Ernst & Young, FC Barcelona, GE, and The Economist Group, which means his frame is tested across regulators, militaries, sports bodies, and Fortune 500 operators. He guest lectures inside Oxford’s Saïd Business School Digital Transformation course, evidence that his content survives peer scrutiny in a serious executive-education environment. He writes a steady stream of analysis for Singularity Hub, Wired, Forbes, Vice, and VentureBeat, and authored Singularity’s 2026 executive briefing on Physical AI, so audiences get a speaker whose arguments are already pressure-tested in print. His current research focus is the convergence of generative AI, spatial computing, 3D simulation, and physical AI, a frame that gives him a concrete read on where the next wave of enterprise infrastructure is heading. Biography highlights Principal Faculty, Singularity University, and one of only two lead facilitators of its flagship five-day Executive Program. MBA, University of Oxford’s Saïd Business School, where he also guest lectures on the Digital Transformation course. Bylines in Vice, Wired, Forbes, VentureBeat, and Singularity Hub. Author of A Business Leader’s Introduction to Physical AI (Singularity, 2026). Has spoken to or advised the United States Marine Corps, the CIA, the Department of Defense, the Central Bank of Denmark, Ernst & Young, GE, The Economist Group, Coca-Cola, Under Armour, FC Barcelona, the NBA, Sony, and Honeywell. Board member, Saint Francis Living Room, a community kitchen in San Francisco’s Tenderloin. Biography Generative AI is now familiar territory for most senior leaders. What comes after is the harder question: which emerging shifts genuinely reshape an industry, and where capital should actually move. That interpretive read is what Aaron Frank does for a living. He is one of only two lead facilitators of Singularity University’s flagship Executive Program. The five-day intensive puts him in a room with around a hundred senior leaders, working through emerging technology trajectories as a structured curriculum. Few speakers test their arguments against a senior audience that often. His range covers rapid technological change, spatial computing and 3D simulation, digital twins as enterprise infrastructure, and the move toward physical AI. He has taught that material to the United States Marine Corps, the Central Bank of Denmark, Ernst & Young, FC Barcelona, and GE. His bylines appear in Wired, Forbes, Vice, VentureBeat, and Singularity Hub. Outside Singularity, he holds an MBA from Oxford’s Saïd Business School and guest lectures on its Digital Transformation course. He also sits on the board of Saint Francis Living Room, a community kitchen in San Francisco’s Tenderloin. His current research focus is the rise of physical AI, set out for Singularity in a 2026 executive briefing on the convergence of robotics, simulation, and spatial intelligence. Key speaking topics Exponential technology trajectories and leadership decisions Innovation strategy under technology acceleration Spatial computing, 3D simulation, and digital twins Physical AI and robotics Ideal for Boards and executive teams setting AI and emerging technology investment direction CTO, CIO and head of digital transformation audiences Industrial, manufacturing, defence and supply chain leadership planning around physical AI and digital twins Strategy and innovation leads in financial services, sport, media and government Audience outcomes A clearer read on which emerging technology shifts actually reshape their industry, and which are noise. A working vocabulary for generative AI, spatial computing, digital twins, and physical AI that a senior team can use in the same conversation. Specific examples of how regulators, militaries, sports bodies, and Fortune 500 operators are deploying these technologies today. A view on the next two to five years of enterprise AI infrastructure beyond the chatbot, drawn from operating deployments.

Why organisations work with Robert Tercek He has run the digital businesses he now advises on. President of Digital Media at OWN, first SVP of Digital Media at Sony Pictures, Creative Director at MTV. That operating record gives his framing weight that pure analysts cannot match. Vaporized won the 2016 International Book of the Year at the Frankfurt Book Fair from a field of 10,000 titles. The thesis, that whole categories of physical product and intermediary dissolve into software, has held up across a decade of platform and AI shifts. He works in long horizons. General Creativity, his advisory firm, is built around scenario work and ten-year strategic planning, not next-quarter trend commentary, which suits boards making capital-allocation decisions on AI, metaverse and infrastructure. He treats emerging technology as a governance problem, not a hype cycle. His current speaking on the industrial metaverse, digital twins and platform power foregrounds the questions executives and policymakers actually have to answer. Biography highlights Author of Vaporized: Solid Strategies for Success in a Dematerialized World, named 2016 International Book of the Year by getAbstract at the Frankfurt Book Fair. Former President of Digital Media, OWN: The Oprah Winfrey Network. Sony Pictures Entertainment’s first Senior Vice President of Digital Media. Creative Director at MTV, where he helped launch the network across more than 20 international markets. Founder and CEO of General Creativity, advising Fortune 500 clients including AT&T, IBM, Microsoft, Google, Hewlett Packard Enterprise and NBC Universal. Strategic Advisor to the Johnny Carson Foundation and the Carson Center for Emerging Media Arts, University of Nebraska-Lincoln; taught the first interactive media course at USC School of Cinematic Arts. Biography Whole categories of business have already been replaced by software, and most boards still treat that as a channel question. Retail shelves, classroom hours, hotel desks, broadcast schedules, payment rails: each one has been thinned out or absorbed into a platform layer. The pattern Tercek named “dematerialisation” in 2015 is the same pattern now driving the AI and platform conversation in 2026. That naming is documented. Vaporized: Solid Strategies for Success in a Dematerialized World won the 2016 International Book of the Year at the Frankfurt Book Fair, selected by getAbstract editors from a field of 10,000 business titles. A decade on, the book reads less like prediction and more like a manual that incumbents wish they had taken seriously when it landed. The credibility comes from operating, not commentary. Tercek was Creative Director at MTV when the network launched into more than 20 international markets, Sony Pictures Entertainment’s first SVP of Digital Media when multiplayer games first ran in a browser, and President of Digital Media at OWN when Oprah Winfrey’s 2009 webcasts pulled the largest live online education audience on record. He now runs General Creativity, advising Fortune 500 clients on digital transformation and long-horizon strategy. His current work focuses on the industrial metaverse, digital twins and the governance questions sitting underneath platform power: who owns the rules, who carries the risk, and what serious organisations should be building rather than buying. He is also a Strategic Advisor to the Carson Center for Emerging Media Arts at the University of Nebraska-Lincoln and holds, with collaborators, 12 US patents covering decentralised entertainment and cryptocurrency systems. Key speaking topics Dematerialisation and the virtual economy Industrial metaverse and digital twins Digital transformation strategy Platform power and technology governance AI, automation and the future of work Long-range scenario planning under exponential change Decentralised systems and Web3 Ideal for Boards and CEOs setting ten-year capital allocation against AI, platform and infrastructure shifts Chief Strategy Officers, Chief Digital Officers and transformation leads in incumbent industries facing software-driven disruption Industrial, energy and infrastructure leaders evaluating digital twin and industrial metaverse investments Policy, regulatory and public-sector audiences working on platform governance and technology risk Audience outcomes A working model for spotting which parts of a business are most exposed to dematerialisation, and on what time horizon A clear read on where the industrial metaverse and digital twins create real operating advantage, and where they do not A sharper framework for ten-year scenario planning that survives short-term hype cycles Specific reference points from MTV, Sony, OWN and current Fortune 500 advisory work, not generic futurist commentary

Why organisations work with Tia White Operator perspective from inside a hyperscaler. She runs go-to-market, product and engineering for an AWS AI portfolio tracking over USD 25M in profit, including some of the fastest-growing services at AWS. A track record of taking generative AI and personalisation from theory into customer-facing product. She led the introduction of Personalized Search, Next Best Action and generative AI capabilities into Amazon Personalize. Cross-sector enterprise fluency. Before AWS she held senior technology roles at Wells Fargo, Capital One and JPMorgan Chase, leading regulated digital transformation programmes in financial services. A specific point of view on what separates AI investments that compound from AI investments that stall, grounded in current AWS customer work rather than vendor abstraction. A credible voice on building the technical leadership bench behind AI, including women and Black technologists, that boards are now being asked to account for. Biography highlights General Manager, AI and Machine Learning, Amazon Web Services. First Black woman hired as a GM in Machine Learning, AI and Analytics at AWS. Director of Engineering at a Fortune 100 company before age 30. Prior senior technology roles at Wells Fargo, Capital One and JPMorgan Chase. Led the launch of new Amazon Personalize capabilities including Personalized Search, Next Best Action and generative AI features; speaker at AWS re:Invent 2022 on personalisation. Featured in Forbes; keynote and emcee credits include SXSW and the Grace Hopper Celebration. Board and advisory roles include Rewriting the Code. Biography Generative AI has moved faster than most enterprise operating models can absorb. Inside AWS, Tia White runs the AI and Machine Learning business that customers turn to when a pilot has to become a product. She owns go-to-market, product and engineering for an AI portfolio tracking over USD 25M in profit, including some of the fastest-growing services at AWS. Her work at AWS includes leading the next generation of Amazon Personalize, with features such as Personalized Search, Next Best Action and generative AI capabilities now used by enterprises to lift engagement and revenue. She has spoken at AWS re:Invent on personalisation as an operating discipline rather than a marketing feature, and is regularly cited by AWS as a voice on what Gen Y and Gen Z customers expect from personalised experiences. Before AWS she held senior technology roles at Wells Fargo, Capital One and JPMorgan Chase, including the leadership of public cloud migrations in financial services. She reached Director of Engineering at a Fortune 100 company before the age of 30. That financial services background gives her a working answer to the questions regulated industries are now asking about generative AI, data, privacy and risk. She was the first Black woman hired as a GM in Machine Learning, AI and Analytics at AWS, and uses that platform to address the harder question behind most AI roadmaps, which is whether the organisation has the talent and the leadership bench to deliver them. She has been featured in Forbes, has keynoted and emceed at SXSW and the Grace Hopper Celebration, and sits on boards including Rewriting the Code. Key speaking topics Generative AI in the enterprise Personalisation as a revenue and engagement discipline AI agents and agentic workflows Machine learning in regulated industries Cloud migration and digital transformation Responsible AI and bias mitigation Building diverse technical leadership in AI and engineering Ideal for CTOs, CIOs and Chief Data and AI Officers moving from AI pilots into production CMOs and Chief Customer Officers investing in personalisation, recommendation and customer engagement Boards and executive committees in financial services, retail and regulated industries setting AI strategy CHROs and DEI leads responsible for the technical talent pipeline behind AI Audience outcomes A clearer read on which generative AI use cases pay back and which do not, drawn from live AWS customer patterns. A working view of personalisation as an operating capability that touches data, product and engineering, not a marketing campaign. Sharper questions for the board on AI risk, privacy and the operating model around generative AI. A concrete sense of what the technical leadership bench behind a serious AI roadmap looks like, and where most organisations are short.

Why organisations work with Julie Holmes She gives leaders a way past the trap most AI programmes fall into. Second Story Strategy™, her framework, treats AI as a starting line for distinct new value, not a finish line for cost savings. She has built and sold technology, not just studied it. Two innovation companies and products in over 60 countries give her keynotes the texture of an operator, and she still builds AI applications for herself and clients today. Her material works at two stages: helping teams who are still becoming AI-capable, and pushing teams who have already proven AI makes them faster toward the harder question of what they will do with it that no one else can. PSA-UKI Hall of Fame status puts her among 33 speakers recognised for sustained craft on stage, which matters when the brief is a high-stakes leadership audience with mixed AI fluency in the room. She lectures on innovation and AI at Yale, Birkbeck, and the American University of Beirut, keeping the material tested against faculty and students as well as paying clients. Biography highlights Hall of Fame Speaker, PSA-UKI, one of 33 to hold the honour Originator of Second Story Strategy™ and the Second Story Blueprint for building competitive advantage on top of AI Author of Little Big Bangs for Leaders and of the 101+ AI Tips, Tools and Prompts series for leaders and sales professionals Founder of two innovation companies with products distributed in over 60 countries Clients include Oracle, Expedia, American Express, JetBlue, Nestle, EY, VMware, US Bank, and LinkedIn Guest lecturer at Yale, Birkbeck (University of London), and the American University of Beirut Biography AI is raising the floor for everyone. The same models, agents, and automation reach every competitor in a category at roughly the same time. That makes it easy to be good, and good is no longer a position. It is the new baseline. Julie Holmes works on the question that follows: once everyone is faster, what will your organisation be that no one else can be? Her answer is Second Story Strategy™, a framework drawn from studying which companies actually pull ahead with AI and which simply run harder in place. The pattern she found was not about budget or engineering depth. The standouts treated AI as a foundation and built something distinct on top of it, working through four levels she maps as Build, Reimagine, Extend, and Lead, with the organisation’s own distinctiveness as the load-bearing element running through all of them. Her credibility comes from building, not commenting. Holmes founded two innovation companies and shipped products into more than 60 countries, and she still builds AI applications for herself and clients. That operator history shapes how she talks to senior audiences. The diagnosis is practical, the language is plain, and her work extends into resources leaders can use directly, including the regularly updated 101+ AI Tips, Tools and Prompts series. Holmes is a Hall of Fame Speaker with PSA-UKI, one of 33 to hold the honour, and a guest lecturer at Yale, Birkbeck, and the American University of Beirut. Brands including Oracle, Expedia, JetBlue, Nestle, EY, and LinkedIn have brought her in for the same reason: to move AI from a tool that makes them cheaper to a foundation that makes them distinct. Key speaking topics Second Story Strategy™ and competitive advantage through AI AI strategy and enterprise adoption AI-empowered teams and workflows Innovation as a leadership discipline Sales and customer experience under AI Future of work and AI capability building Ideal for C-suite leaders setting enterprise AI direction Heads of department helping their teams level up with AI Sales and customer-experience leaders integrating AI into commercial workflows Company-wide events where AI fluency varies widely across the room Audience outcomes The five behaviours that set AI-savvy teams apart, framed as a Second Story Strategy™ they can act on A clear way to decide where to build genuine distinction and where keeping pace is enough Concrete examples of how AI is reshaping leadership, sales, and customer experience, with specific tools named Language for leading non-technical teams into AI with confidence rather than anxiety A sharper sense of which AI use cases build advantage and which only add speed

Why organisations work with Jason Bradbury Twelve years presenting The Gadget Show on Channel 5 trained him to make emerging technology legible to a general audience without diluting the substance. Boards get the same treatment. His 2026 keynote The AI Advantage introduces a “6 Degrees of AI” framework that maps AI impact across sectors, giving audiences a structured way to read their own industry rather than a generic overview. He completed MIT’s Artificial Intelligence: Implications for Business Strategy programme, anchoring the keynote content in a formal commercial-AI curriculum rather than vendor marketing. He combines keynote and host roles in the same booking. For technology summits and innovation days that need a credible anchor across the whole programme, this removes a casting decision. Biography highlights Presented Channel 5’s The Gadget Show from launch in 2004 to 2016, twelve years of prime-time technology broadcasting. Multiple Guinness World Records set on the programme, including fastest jet-powered street luge at 186.41 km/h. Author of the Dot Robot techno-thriller series for Penguin Random House: Dot Robot, Atomic Swarm, Cyber Gold. Completed MIT Sloan’s Artificial Intelligence: Implications for Business Strategy programme. Has sat on judging panels for the BAFTA Video Games Awards and the Media Guardian Innovation Awards. Keynote and hosting work with Vodafone, Samsung, Intel, Microsoft, Oracle, Sony, Audi, BMW, BP, Disney, Porsche, Salesforce, Royal Caribbean and BT. Biography Twelve years on Channel 5’s The Gadget Show is, among other things, twelve years of explaining emerging technology to an audience that did not study engineering. Jason Bradbury presented the programme from its 2004 launch through 2016, by which point he had also set multiple Guinness World Records on air, the most cited being a jet-powered street luge clocked at 186.41 km/h on the show’s 200th episode. The broadcasting work sits alongside a second strand of authorship. The Dot Robot series for Penguin Random House (Dot Robot, Atomic Swarm, Cyber Gold) is technology fiction for younger readers, and the same instinct runs through his keynote work: take a complicated technical subject, find the human stakes, hold attention. The keynote material has tightened as AI has moved up the boardroom agenda. Bradbury completed MIT Sloan’s Artificial Intelligence: Implications for Business Strategy course, and his 2026 talk The AI Advantage introduces a “6 Degrees of AI” framework intended to give business audiences a structured way to read AI impact in their own sector rather than a generic horizon scan. He is most commonly booked by organisations that want a single credible figure to anchor a technology day, keynote on AI in the morning, host panels in the afternoon, hold the room. Clients across that work include Vodafone, Samsung, Intel, Microsoft, Oracle, BMW, BP, Porsche, Disney and Salesforce. Key speaking topics Artificial intelligence for business audiences Sector impact of generative AI Future of work and automation Emerging consumer technology Robotics and autonomous systems Innovation and product disruption Technology event hosting and moderation Ideal for Technology summits and innovation days that need a single anchor across keynote and host roles Sales kick-offs and customer conferences using AI as the headline theme Boards and executive offsites looking for an accessible read on AI sector impact Awards ceremonies and brand events with a technology adjacency Audience outcomes A working mental model of where AI is heading across the next decade, mapped to the audience’s own sector Sharper questions to ask vendors, internal teams and consultants about AI claims A concrete sense of which AI use cases are credible now versus speculative Reduced sense that AI is a single undifferentiated wave, replaced with a structured view of where it lands

Why organisations work with Andrew Trask He has built the working infrastructure for privacy-preserving AI, not just written about it. PySyft, the open-source framework he created through OpenMined, is used by researchers and engineers to train models on data they never directly see. He sits inside one of the most consequential AI research labs in the world, DeepMind, while also leading an 18,000-strong community of privacy-preserving AI engineers. Few speakers operate credibly in both rooms. His agenda is structured transparency: making it possible for institutions to collaborate on AI without surrendering the underlying data. That is the exact tension a regulated industry leader is now trying to solve. He teaches the material rather than narrates it. Grokking Deep Learning and his Udacity courses have introduced tens of thousands of practitioners to neural networks and to private AI, which is why technical audiences find him credible rather than performative. Biography highlights Senior Research Scientist, Google DeepMind, working on privacy, federated learning, differential privacy, and secure computation. Founder of OpenMined, an open-source community of more than 18,000 researchers and engineers building privacy-preserving AI tools. Creator of PySyft, the open-source framework for training machine learning models on data the model owner cannot see. PhD candidate, University of Oxford, on the Oxford-DeepMind Graduate Scholarship; affiliated with the Future of Humanity Institute and the Centre for Governance of AI. Author of Grokking Deep Learning, Manning Publications, and instructor on Udacity’s Secure and Private AI and Deep Learning Nanodegree courses. Term Member, Council on Foreign Relations. Biography The hardest problem in applied AI is not modelling. It is access. The data that would make a healthcare model genuinely useful sits inside hospital systems that cannot legally share it. The data that would make a financial crime model work is split across banks that compete with each other. The default response has been to do less. Trask has spent the last decade building the technical answer to that problem. Through OpenMined, the open-source community he founded, he created PySyft, a framework that lets engineers train models on data they never directly see. The underlying methods, federated learning, differential privacy, secure multi-party computation, homomorphic encryption, are what serious AI governance now relies on. He calls the broader agenda structured transparency, and it is becoming the operating vocabulary for AI deployment in regulated settings. The institutional positioning matters. He is a Senior Research Scientist at Google DeepMind and a PhD candidate at Oxford, funded by the Oxford-DeepMind Graduate Scholarship and affiliated with the Future of Humanity Institute and the Centre for Governance of AI. He is also a Term Member of the Council on Foreign Relations. That combination puts him inside the frontier AI conversation and inside the AI governance conversation at the same time, which is unusual. The teaching record is the test of whether his ideas travel. Grokking Deep Learning, published by Manning, taught a generation of engineers how neural networks actually work. His Udacity courses on secure and private AI did the same for the privacy-preserving stack. The reason senior technical audiences treat him as a primary source rather than a commentator is that they have already worked through his material. Key speaking topics Privacy-preserving artificial intelligence Federated learning and secure computation AI governance and structured transparency Differential privacy in practice AI safety and responsible deployment The future of data infrastructure for AI Foundations of deep learning for non-specialists Ideal for Chief AI officers, CTOs, and chief data officers in regulated industries (healthcare, financial services, government) deciding how to deploy AI on sensitive data. Boards and audit committees pressure-tested on AI governance, data risk, and the gap between AI ambition and AI infrastructure. Heads of research, innovation, and product engineering teams building the next generation of AI products. Policy and public-sector leaders responsible for AI standards, data sharing, and international AI governance. Audience outcomes A working mental model of the privacy-preserving AI stack, named technique by named technique, instead of the usual abstractions. A clearer view of which AI use cases are unlocked by federated learning and secure computation, and which remain blocked by data access. A grounded read on where AI governance is heading, from someone inside both DeepMind and the Oxford AI governance ecosystem. A direct sense of how to move from AI pilots to deployments that survive regulatory and reputational scrutiny.

Why organisations work with Glen Weyl He is the working bridge between three of the people who matter most in this debate: Vitalik Buterin on Ethereum and Web3, Jaron Lanier on AI and data, and Audrey Tang on civic technology. Senior teams get one room with the network, not three separate conversations. He co-invented Quadratic Voting and Quadratic Funding, mechanisms now used inside crypto ecosystems, civic budgets, and corporate innovation funds. Boards looking at participatory capital allocation are looking at his work, often without knowing it. He led Microsoft’s Office of the CTO work on the OpenAI relationship and now runs Microsoft Research’s Plural Technology Collaboratory. He has seen the inside of how the largest AI partnership in the world is governed, and can talk about it candidly. His book Radical Markets, written with University of Chicago law professor Eric Posner, was named an Economist Book of the Year in 2018 and changed how serious economists discuss property, voting, and antitrust in a digital economy. He works in the same language as policymakers in Taiwan, the EU, and the US Treasury, which makes him unusually useful to organisations whose AI exposure is also a regulatory exposure. Biography highlights Founder and Research Lead, Plural Technology Collaboratory, Microsoft Research. Former Political Economist and Social Technologist, Microsoft Office of the CTO, including the leadership team for the OpenAI relationship. Co-author, Radical Markets, Princeton University Press, 2018; an Economist Book of the Year. Co-author with Audrey Tang of Plurality: The Future of Collaborative Technology and Democracy, 2024. Founder, RadicalxChange Foundation; co-founder and chair, Plurality Institute; co-founder, Harvard GETTING-Plurality Research Network. Named by CoinDesk, WIRED, and Bloomberg Businessweek on their respective lists of most influential people in technology, 2018. Biography Most institutions designed for the industrial economy do not have a good answer to generative AI. Voting systems, ownership rules, antitrust law, and corporate governance were all written for a world where the most powerful entities in a room were human. Glen Weyl’s career has been a sustained attempt to redesign those institutions for a world where they are not. His 2018 book with Eric Posner, Radical Markets, was an Economist Book of the Year and forced a new conversation about property, voting, and antitrust inside serious policy circles. Out of that work came Quadratic Voting and, with Vitalik Buterin, Quadratic Funding. Both are now in operational use in civic budgets and Web3 ecosystems, including projects funded by Ethereum. At Microsoft, he sat inside the Office of the CTO during the period when the company’s relationship with OpenAI became one of the most consequential commercial arrangements in technology. He now runs the Plural Technology Collaboratory, Microsoft Research’s special project on how democratic societies function under generative AI, working with Taiwan’s Audrey Tang, with Harvard, and with civil society groups including the Collective Intelligence Project. His 2024 book with Tang, Plurality, was written openly on GitHub and translated by volunteers into more than a dozen languages, an unusual proof point that the governance ideas in it actually work in practice. For a board trying to decide what AI legitimacy means inside its own organisation, that record makes him one of the few people in the world worth bringing into the room. Key speaking topics Generative AI and democratic institutions Plurality and collaborative technology Quadratic Voting and Quadratic Funding Web3, decentralised identity, and digital ownership Antitrust and platform competition Data as labour and the economics of AI training Ideal for Boards and CEOs setting AI governance and partnership strategy Government, regulator, and central bank audiences on AI and digital policy CTOs and Chief AI Officers working on legitimacy and deployment frameworks Foundations, philanthropic capital allocators, and corporate venture funds rethinking how they fund collective goods Audience outcomes A clearer view of how AI partnerships at the scale of Microsoft and OpenAI are actually governed. A working vocabulary for Quadratic Voting, Quadratic Funding, and Plurality, with concrete examples of where each is operating. A sharper sense of where current antitrust, data, and AI regulation is heading in the US, EU, and Asia. Specific design ideas for participatory decision-making inside large organisations, not generic engagement theory.

Why organisations work with Hatem Salem Operating perspective from running an integrated communication group across Cairo and Paris since 1991, including Media Hatem Salem, Brands & Branding, Act CSR, and Global Arabian Network. Few speakers on AI in marketing have built and led the full agency stack themselves. Practical fluency in MENA consumer markets that most Western marketing speakers do not have, useful for organisations looking at brand entry, expansion, or partner work across the Arab world. Track record of building owned platforms, including Cairo Fashion Week, Cairo Mobile Film Festival, Egypt CSR Day, the International Branding Conference, and the Blue Star Award. Useful for clients thinking about brand events as a channel, not a line item. Multiple Agency of the Year awards from the International Advertising Association Egypt Chapter, including for the Smart Village and Sharm El Sheikh public service campaigns. Concrete agency credibility, not a personal-brand claim. Current focus on neuromarketing and AI in advertising creativity gives buyers a speaker who can connect behavioural science, generative tools and brand strategy in the same talk, rather than picking one lens. Biography highlights Chairman and CEO, Hatem Salem Communication Group; founder of Media Hatem Salem (1991), Brands & Branding (2000), Act CSR (2010), and Global Arabian Network (2014). Founder and President of Cairo Fashion Week, Cairo Mobile Film Festival, Egypt CSR Day, the International Branding Conference, and the Blue Star Award. Multiple Agency of the Year awards from the International Advertising Association Egypt Chapter and from the American University in Cairo. BA in Mass Communication, Cairo University; MA in Mass Communication, Press, Publicity, New Media and Cinema Science, Stendhal Grenoble 3. Former journalist and press correspondent in Paris covering European and Middle Eastern media for over five years. Has taught media, marketing, branding and advertising at Cairo University, the French University in Egypt, the British University in Egypt and the University of Grenoble. Biography The marketing function is being rebuilt twice over. AI is reshaping how creative, media and customer experience are produced, and the audience side has changed too, with attention more fragmented and brand loyalty thinner than at any point in the past two decades. Most organisations are still reasoning about this as a set of tool choices, when the real question is which parts of the marketing operation hold their shape and which get redesigned. Salem has been running marketing and communication businesses through every prior wave of this shift. He founded Media Hatem Salem in Cairo in 1991, then built out an integrated group with Brands & Branding, Act CSR, and the Global Arabian Network, working across above the line, below the line and through the line channels for clients across Egypt and the wider Arab market. The group has earned multiple Agency of the Year honours from the International Advertising Association Egypt Chapter, including for the Smart Village and Sharm El Sheikh campaigns. Alongside the agency work, he has built owned brand platforms that operate as commercial assets in their own right. Cairo Fashion Week, Cairo Mobile Film Festival, Egypt CSR Day, the International Branding Conference and the Blue Star Award all sit inside the group, giving him a working view of brand events as a channel rather than a marketing line item. Earlier in his career he worked as a Paris-based press correspondent covering European and Middle Eastern media, and held research and teaching posts at Stendhal Grenoble 3, Cairo University, the French University in Egypt, and the British University in Egypt. His current work focuses on neuromarketing, AI in advertising creativity, AI in event management, and the future of media, cinema and social platforms. The connecting thread is operational: how generative tools, behavioural science and experience design change what marketing teams actually produce, and what stays human. Key speaking topics Neuromarketing and consumer behaviour AI in advertising and creative production AI in marketing and customer experience Brand strategy in MENA and emerging markets Event platforms as brand assets The future of media, cinema and social platforms Corporate social responsibility and brand reputation Ideal for CMOs, brand directors and marketing leadership teams rebuilding the marketing operating model around AI. Boards and executive teams of consumer brands entering or scaling in MENA and the Arab market. Heads of communications, customer experience and creative agencies working through generative AI integration. Event, sponsorship and brand partnership leads rethinking the role of owned platforms. Audience outcomes A clearer view of which parts of the marketing operation are most exposed to AI redesign, and which parts hold. Working examples of neuromarketing and behavioural science applied to brand, advertising and event work. A practitioner read on the MENA market that most Western marketing voices cannot provide. A more concrete sense of how owned brand platforms function as a commercial channel. Sharper questions for CMOs and agency partners on AI in creative production, personalisation and customer experience.

Why organisations work with Mo Gawdat His central AI thesis – that these systems reflect the values humans encode into them, and that organisations still have a window to act – was published in 2021 and validated by the subsequent speed of AI deployment. Boards are not getting speculation; they are getting a forecast with a track record. Scary Smart gives senior leadership a specific accountability framework, not a risk briefing: the argument is that the question is not whether AI will be powerful, but what the organisation is actively doing to shape its values now. The Solve for Happy happiness model is a named, reproducible framework developed through the same engineering logic Gawdat applied throughout his technology career – not a wellbeing programme, but a systematic methodology for building psychological stability under pressure. He addresses the external disruption (AI’s structural impact on work and value) and the internal response (the human psychology of navigating it) as a single argument – which is why his sessions land differently in a strategy forum than a conventional AI speaker or a conventional wellbeing speaker would. Seven years inside Google [X] at the point when self-driving cars, Project Loon, and Google Life Sciences were being built and commercialised gives him a credibility baseline that no amount of research or commentary can replicate. Biography highlights Former Chief Business Officer, Google [X] (2013-2018), overseeing commercial strategy for Google’s moonshot innovation division 30-year career in technology spanning IBM, NCR, Microsoft, and Google, including senior roles across emerging markets globally Author of Solve for Happy (Macmillan, 2017), Scary Smart (Macmillan, 2021), That Little Voice in Your Head (Macmillan, 2022), and Unstressable (2024, co-authored with psychologist Alice Law) Scary Smart named a Sunday Times Business Book of the Year (2021) Chief AI Officer at Flight Story, the digital marketing company co-founded by Steven Bartlett Founder of One Billion Happy, a global initiative to share structured approaches to happiness and wellbeing Host of Slo Mo, one of the leading mental health podcasts globally Biography When Scary Smart was published in 2021, its central argument read as speculative: AI would become superintelligent, its real danger lay not in the technology itself but in the values humans encode into it, and organisations still had a narrow window to shape the outcome. Within a year, the release of ChatGPT had reframed the argument as a warning that had arrived early. Mo Gawdat had been inside Google [X] when these systems were being built. Gawdat joined Google in 2007 and served as Chief Business Officer of Google [X] from 2013, overseeing commercial strategy for the moonshot division behind self-driving cars, Project Loon, and Google Life Sciences. His seven years there gave him direct exposure to both the capability and the accountability gaps at the frontier of AI development. He left in 2018 and now serves as Chief AI Officer at Flight Story, the digital marketing company co-founded by Steven Bartlett. The parallel body of work on happiness was not a departure from his technology career. It emerged from the same engineering mindset applied to personal crisis. Following the death of his son Ali in 2014, Gawdat developed the framework at the centre of Solve for Happy: a systematic, reproducible model for well-being grounded in cognitive science. The book became an international bestseller. His thesis is that the two bodies of work are not separate. An organisation that understands the human psychology of its people is better positioned to navigate the disruption AI will accelerate. Unstressable, co-authored with psychologist Alice Law and published in 2024, extends that logic into a practical stress-management framework built around four human systems. He hosts Slo Mo, one of the leading mental health podcasts globally, and his earlier books – That Little Voice in Your Head (2022) and Scary Smart, a Sunday Times Business Book of the Year – continue to reach executive audiences grappling with AI governance and personal resilience across a 30-year technology career. Key speaking topics AI ethics and governance Responsible AI adoption The human impact of AI disruption Happiness science and the engineering of well-being Stress management frameworks Technology leadership and strategic foresight Human values in AI development Ideal for Boards and executive leadership teams making AI governance and adoption decisions Chief People Officers and Chief Technology Officers managing workforce responses to AI disruption Strategy, transformation, and future of work forums where AI risk and human resilience intersect Technology, financial services, and marketing organisations with significant and growing AI exposure Audience outcomes A coherent framework for evaluating AI’s ethical and human risks, grounded in direct experience of building these systems rather than external commentary Clarity on what values organisations need to embed in AI systems now, and why the window to do so meaningfully is narrowing Practical tools from the Solve for Happy model for building psychological stability and resilience under conditions of sustained uncertainty A more calibrated understanding of the timeline and direction of AI development, distinct from both catastrophism and uncritical optimism Practical techniques from Unstressable for identifying and reducing sources of stress at individual and team level

Why organisations work with Dorothée Töreki She has run digital transformation from the inside. Eleven years at IBM Germany and a Director of Digitalisation role at the Boysen Group give her a working understanding of how AI and digital tools actually land in industrial and corporate environments. She teaches the same material she presents on stage. Her part-time lectureship at Duale Hochschule Heidenheim covers blockchain and generative AI, which keeps the content close to the underlying mechanics rather than the marketing layer. She is one of the few German-language voices who can move an audience from technology scepticism to active engagement, in both English and German, without simplifying the substance. Her work spans the connected stack: generative AI, blockchain, Web 3.0, the Internet of Things and human-machine collaboration. That breadth lets her show executives where today’s pilots are pointing. Biography highlights Eleven years at IBM Germany in roles spanning Digital Advisor, Competitive Leader and Digital Workplace Consultant. Former Director of Digitalisation at the Boysen Group, leading cultural transformation. Founder of Denkräume im Digitalen, established 2019. Part-time lecturer in blockchain and generative AI at Duale Hochschule Heidenheim. LinkedIn Top Voice DACH 2018 and Best of IBM 2016. Co-author for Springer Gabler on generative AI and digitalisation themes. Biography Most German industrial firms can describe what generative AI is. Far fewer can describe what it changes inside their operating model. That gap, between technical literacy and operating capability, is the territory Dorothée Töreki has worked in for two decades. Her route into the subject is unusual. She trained as a civil engineer and worked on infrastructure projects including the ICE rail link between Frankfurt and Cologne, before moving into information technology. Eleven years at IBM Germany followed, in roles that ran from digital workplace consulting to competitive analysis on cloud and AI. As Director of Digitalisation at the Boysen Group, she carried that perspective into an industrial automotive supplier, designing the cultural side of digital change. In 2019 she founded Denkräume im Digitalen to focus on executive education and keynotes. The body of work spans generative AI, blockchain, Web 3.0 and human-machine collaboration. She teaches the same material at Duale Hochschule Heidenheim, which gives the content a level of technical detail most keynote speakers cannot match. Springer Gabler publishes her as a contributing author on generative AI and digital business. She is recognised as a LinkedIn Top Voice DACH and was named Best of IBM in 2016. Her delivery, in German or English, is built on turning abstract technology into specific operational consequence: what changes for marketing, for service operations, for the workplace, for the way decisions get made. Key speaking topics Generative AI in business Digital transformation in industrial organisations Blockchain and Web 3.0 Human-machine collaboration Future of work and digital workplace Internet of Things and Economy of Things Cultural change in technology adoption Ideal for CIOs, CDOs and heads of digital transformation in industrial and B2B firms. Executive committees and boards setting AI strategy. Marketing, sales and customer experience leadership teams. German-speaking corporate audiences seeking technical depth without losing accessibility. Audience outcomes A working picture of where generative AI changes specific business functions, not a generic technology overview. Clear language for the cultural and organisational shifts that decide whether digital pilots scale. A more precise read on adjacent technologies such as blockchain, Web 3.0 and IoT, and how they connect to AI strategy. The confidence to engage rather than retreat from the next wave of technology decisions.

Why organisations work with Ramy Nassar He brings a published, structured method for AI product design from idea to launch, set out in the AI Product Design Handbook and used by enterprise teams who need a repeatable process rather than another inspiration deck. He has run innovation inside Mattel and led design and strategy at Architech for Apple, Air Canada, CIBC, Facebook and Rogers, so the operational reality of shipping new products inside large organisations is in the room. His work separates “AI Now, Next and Never,” giving boards a defensible position on what to deploy, what to wait on, and where to draw governance lines. He teaches design thinking and innovation at McMaster University and Toronto Metropolitan University, and executive programmes at Schulich ExecEd, which keeps the frameworks tested against working leaders. Client engagements span Apple, TD Bank, TELUS, Verizon, New Balance and the Government of Canada, covering both regulated and consumer environments. Biography highlights Author, AI Product Design Handbook Former Head of Innovation, Mattel, where he launched the company’s first innovation lab Former Managing Director, Design and Strategy, Architech Founder, 1000 Days Out, advisory practice on AI and emerging technology Faculty: McMaster University, Toronto Metropolitan University, Schulich ExecEd at York University Featured by CPA Canada at The ONE national conference; speaker at FITC, IxDA, FWD50 and World Usability Congress Biography Most AI projects inside large organisations have the same shape. A pilot ships, attention moves on, and the operating model does not change. Boards then have to decide whether the next round of spend should go into more experiments or into the harder work of getting AI into the product and into the workflow. That is the decision Ramy Nassar is built to inform. The AI Product Design Handbook sets out a repeatable process for taking AI products from idea to launch, with explicit attention to user trust, transparency and governance. It is used by product and design leaders who need a method, not a manifesto. The argument is grounded in his time as Head of Innovation at Mattel, where he launched the company’s first innovation lab and led emerging-technology work for Barbie and Hot Wheels, and earlier as Managing Director of Design and Strategy at Architech, where he ran client work for Apple, Air Canada, CIBC, Facebook and Rogers. Through 1000 Days Out he advises senior teams at Apple, TD Bank, TELUS, Verizon, New Balance and the Government of Canada on AI adoption, strategic foresight and product strategy. His framing of “AI Now, Next and Never” is designed for boards that need to commit capital and set governance lines at the same time, and his strategic foresight work gives leaders a structured way to test decisions against multiple long-range scenarios. Faculty roles at McMaster University, Toronto Metropolitan University and Schulich ExecEd at York University keep the frameworks tested against working executives. CPA Canada featured him at The ONE national conference on turning insights into measurable impact, and his international speaking includes FITC, IxDA, FWD50 and the World Usability Congress. Key speaking topics Artificial intelligence adoption and product design Responsible AI and governance Strategic foresight and scenario planning Innovation strategy Emerging technology and exponential change Digital product and customer experience design Ideal for Boards and C-suite teams setting AI investment and governance policy Chief Product Officers, Chief Design Officers and Chief Innovation Officers moving from pilots to deployed AI Heads of Strategy and corporate development running scenario planning under technology uncertainty Public-sector leaders shaping responsible AI policy and procurement Audience outcomes A defensible “now, next, never” view of where to deploy AI, where to wait, and where to refuse A structured method for taking AI features from concept to launch with governance built in Sharper foresight tools for testing strategy against multiple long-range scenarios Concrete language for communicating AI risk, ethics and product trade-offs to non-technical executives and customers