Artificial Intelligence & Generative AI

Why organisations work with Andrew Ng His AI Transformation Playbook – a named, five-step framework derived directly from building AI teams at Google and Baidu – gives organisations a structured implementation path, not principles. It is the difference between a direction and a plan. He has operated on both sides of the AI adoption challenge: as the person responsible for making two of the world’s largest technology companies into AI-first organisations, and as the founder of platforms that have trained more than 8 million people in AI skills. The failure modes at both ends are not theoretical to him. His “AI is the new electricity” thesis reframes AI as general-purpose infrastructure rather than a feature or a product – a distinction that changes how boards allocate capital and how leadership teams structure accountability. Named to Time’s inaugural Time100 AI list (2023) – recognising active, current influence in the field – and to Amazon’s board of directors. The former signals peer standing; the latter signals boardroom credibility. Through AI Aspire, developed in partnership with Bain & Company, he advises enterprises moving from AI experimentation to scalable transformation – giving organisations access to a perspective tested across venture building, hyperscale operations, and mass education. Biography highlights Co-founded Google Brain – the research team credited with reshaping Google’s approach to artificial intelligence VP and Chief Scientist at Baidu, leading a 1,300-person AI team responsible for the company’s global AI strategy Co-founder and Chairman of Coursera (NYSE: COUR), now serving 150 million+ registered learners globally Founder of DeepLearning.AI – over 8 million people have completed AI courses through his programmes Named to Time100 Most Influential People (2012), Fast Company’s Most Creative People (2014), and Time100 AI (2023) Member of Amazon’s board of directors (appointed April 2024) Author of the AI Transformation Playbook and Machine Learning Yearning, both in wide circulation Holds a BSc from Carnegie Mellon, MSc from MIT, and PhD from UC Berkeley; co-authored over 200 research papers Biography Most AI pilot projects never become AI companies. Andrew Ng has spent years examining why – first as the founding lead of Google Brain and then as VP and Chief Scientist at Baidu, where he built a 1,300-person AI team. The gap between isolated AI experimentation and enterprise-wide capability is the problem he has studied from the inside. His AI Transformation Playbook – drawn directly from that experience – sets out a five-step framework for taking AI adoption from initial momentum to company-wide infrastructure. It circulates widely because it treats AI transformation as an operational challenge, not a technology question. His thesis that AI is infrastructure the way electricity was infrastructure gives boards a strategic frame that holds across industries and business models. Ng co-founded Coursera, which now serves over 150 million registered learners, and founded DeepLearning.AI, through which more than 8 million people have trained in AI skills. Building AI literacy at that scale – and measuring what works – gives him a concrete, tested perspective on what workforce transformation in practice actually requires. Few speakers can point to comparable operational evidence. He holds degrees from Carnegie Mellon, MIT, and UC Berkeley, has co-authored over 200 research papers, and sits on Amazon’s board of directors. Named to Time’s inaugural Time100 AI list in 2023 – recognising current influence rather than historical contribution – he continues to co-found AI companies through AI Fund and advise enterprises on AI strategy through AI Aspire, a firm he built in partnership with Bain & Company. Key speaking topics Enterprise AI adoption and transformation AI strategy for boards and C-suite leaders Agentic AI and the next phase of AI systems AI workforce development and capability building Responsible AI development and regulation Machine learning fundamentals and applied AI The economics of AI as general-purpose infrastructure Ideal for C-suite executives and boards setting AI strategy and capital allocation Chief Technology Officers and Chief Digital Officers leading enterprise AI programmes CHROs and people leaders responsible for AI upskilling and workforce transformation Transformation leads and innovation teams moving from AI pilots to scaled deployment Audience outcomes A structured framework for diagnosing where enterprise AI adoption is stalling and what to do next Clarity on how to build internal AI capability – teams, workflows, and governance – rather than relying on isolated project-by-project approaches A board-level frame for AI as infrastructure, with implications for investment, talent, and competitive positioning Practical understanding of what large-scale AI workforce development requires, drawn from programmes that have trained millions A more grounded view of responsible AI development – distinguishing credible risk from speculative concern – from a practitioner who has argued these positions in public and in policy

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 He sits at the intersection of generative AI, spatial computing, and 3D simulation for physical AI, a convergence most keynote speakers cover only at the surface. 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. His Singularity Executive Program experience trains him to translate exponential technology trajectories into specific decisions a senior team can make this quarter, not abstract futures. He authored Singularity’s 2026 executive white paper A Business Leader’s Introduction to Physical AI and writes a steady stream of analysis for Singularity Hub, Wired, Forbes, Vice, and VentureBeat, so audiences get a speaker whose arguments are already pressure-tested in print. 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. Biography highlights Principal Faculty, Singularity University, and one of its earliest employees. MBA, University of Oxford, Saïd Business School. Guest lecturer, Oxford Saïd Digital Transformation course, Santa Clara University, EY Tech University. Bylines in Vice, Wired, Forbes, VentureBeat, and Singularity Hub. Author of A Business Leader’s Introduction to Physical AI (Singularity, 2026), an executive briefing on the convergence of AI, robotics, and 3D simulation. 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 Most leaders now understand generative AI well enough to brief a board on it. Far fewer can read what comes after: 3D simulation environments where robots are trained, digital twins that mirror factories and supply chains, and spatial interfaces that move computing off the screen and into the room. This is the territory where Aaron Frank works. He spent a decade inside Singularity University, joining as one of its earliest employees and rising to Principal Faculty, where he co-facilitates the Executive Program on exponential technologies. His primary research domain is the convergence of augmented and virtual reality, virtual environments, and physical AI. He treats spatial computing and 3D simulation as serious enterprise infrastructure, not a consumer side-show, and that framing now matches where capital is moving. His advisory and teaching list is unusually broad: the United States Marine Corps, the Central Bank of Denmark, Ernst & Young, GE, The Economist Group, FC Barcelona, the NBA, Coca-Cola, Under Armour, Sony, Honeywell. He guest lectures on Oxford Saïd’s Digital Transformation course, at Santa Clara University, and at EY Tech University, and his bylines appear in Vice, Wired, Forbes, VentureBeat, and Singularity Hub. His 2026 Singularity executive white paper, A Business Leader’s Introduction to Physical AI, sets out the convergence between robotics, 3D simulation, and spatial intelligence in terms a leadership team can act on. He holds an MBA from Oxford’s Saïd Business School and an undergraduate degree in Communications and Philosophy from the University of Maryland. He sits on the board of Saint Francis Living Room, a community kitchen in San Francisco’s Tenderloin. The combination matters for a senior buyer: an operator who has worked inside one of the most-watched executive-education brands in technology, with the editorial range to write the argument and the credentials to teach it inside Oxford. Key speaking topics Spatial computing and mixed reality for the enterprise 3D simulation and digital twins Physical AI and robotics Generative AI in industrial and operating contexts Exponential technology trajectories and what they mean for leadership decisions Distributed ledger and emerging fintech infrastructure Innovation strategy under technology acceleration Ideal for Boards and executive teams setting AI and spatial computing 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 AI advances actually reshape how their industry operates, and which are noise. A working vocabulary for spatial computing, digital twins, and physical AI that senior teams can use in the same conversation. Specific examples of how regulators, militaries, sports organisations, and Fortune 500 operators are deploying these technologies today. A view on the next two to five years of AI infrastructure beyond the chatbot, grounded in operating reality rather than vendor narrative.

Why organisations work with Julie Holmes She has built and sold technology, not just studied it. Two innovation companies under her belt and products in over 60 countries give her keynotes the texture of an operator, not an analyst. The UPGRADE Framework gives audiences a seven-step structure they can apply on Monday morning, rather than a high-level provocation about AI’s importance. The AI Strategy Playbook, co-authored with Mary Kelly, addresses the gap most leadership teams admit privately: they do not yet have a written organisational AI strategy. PSA-UKI Hall of Fame status puts her among 33 speakers recognised for sustained craft on stage, useful when the brief is a high-stakes leadership audience. She lectures on innovation and AI at Yale, Birkbeck, and the American University of Beirut, which keeps the material tested against students and faculty as well as paying clients. Biography highlights Hall of Fame Speaker, PSA-UKI, one of 33 to hold the honour Author of Little Big Bangs for Leaders and co-author of The AI Strategy Playbook with Mary Kelly, PhD 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 Creator of the UPGRADE Framework for AI adoption inside teams Biography Less than one in five companies has a written AI policy, let alone a strategy. That gap is what Julie Holmes works inside. She helps boards and leadership teams move from scattered AI pilots to a documented playbook the rest of the organisation can actually use. Her credibility comes from building, not commenting. Holmes founded two innovation companies and shipped products into more than 60 countries before the current AI cycle. That operator history shapes how she talks to senior audiences. The diagnosis is practical, the language is plain, and the deliverable is a structure leaders can apply. The UPGRADE Framework, her seven-step approach to embedding AI in team workflows, anchors most of her keynotes. The AI Strategy Playbook, co-authored with Mary Kelly, extends the same logic to the strategy layer. Earlier work, Little Big Bangs for Leaders, set out her broader thesis on incremental innovation as a leadership discipline. 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 to do the same job: take AI off the slide deck and into the operating model. Key speaking topics AI strategy and adoption Enterprise AI playbooks 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 CEOs, COOs, and CTOs setting an enterprise AI direction Heads of transformation and innovation responsible for AI deployment Sales and customer-experience leaders integrating AI into commercial workflows Boards seeking a credible operator perspective on AI strategy Audience outcomes A working seven-step structure (UPGRADE) for embedding AI into team operations A clearer view of what an AI strategy playbook contains and how to draft one Concrete examples of where AI changes sales and customer experience, with named tools Language for talking to non-technical employees about AI capability without inducing fear A sharper sense of which AI use cases are worth piloting and which are noise

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

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

Why organisations work with 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

Key speaking topics Artificial intelligence governance Digital policy and regulation Data strategy and Big Data European AI regulation International technology cooperation Cybersecurity and digital transformation Ideal for Government and public sector leaders Boards and senior executives shaping AI strategy Technology and digital transformation leaders Policy and regulatory audiences Audience outcomes Clear understanding of AI governance frameworks and global policy dynamics Insight into the regulatory landscape shaping artificial intelligence in Europe Practical perspective on aligning AI strategy with public policy requirements Strategic context for navigating digital transformation at national and organisational level Why organisations work with Carme Artigas Direct experience shaping national and European AI policy. Senior leadership background across both public administration and technology ventures. International perspective through United Nations and European institutional roles. Commercial understanding of data and AI from founding and scaling a technology consultancy. Biography Carme Artigas brings rare, first-hand experience of shaping artificial intelligence policy at national, European and international level. As Spain’s Secretary of State for Digitalisation and Artificial Intelligence, she led the country’s digital and AI agenda and represented Spain in key European and global technology forums. During Spain’s Presidency of the Council of the European Union, she coordinated work connected to negotiations on European AI regulation, positioning her at the centre of discussions on responsible AI, governance frameworks and regulatory design. She also serves as Co-Chair of the United Nations High-Level Advisory Body on Artificial Intelligence, contributing to international dialogue on the future of AI governance. Her expertise is grounded in substantial private-sector leadership. She co-founded Synergic Partners, a data analytics and Big Data consultancy that was later integrated into Telefónica, and previously served as CEO of Ericsson Innova, the Ericsson Group’s European venture capital fund. These roles give her a practical understanding of how data strategy, innovation and regulation intersect in real organisations. In addition to her public and corporate leadership, she is affiliated as a Senior Fellow with Harvard Kennedy School’s Belfer Center and is recognised in Spain as an ambassador for Stanford University’s Women in Data Science initiative. For organisations navigating AI adoption, digital transformation and regulatory change, Carme Artigas offers strategic insight drawn from direct experience at the highest levels of technology policy and data-driven business.

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