Artificial Intelligence & Generative AI

Why organisations work with Rohit Bhargava He brings a decade of annual trend research, distilled into the Non-Obvious and Megatrends book series, into a board or strategy off-site as a working method, not a slide deck. The SIFT framework gives marketing, innovation and strategy teams a shared language for separating durable shifts from passing noise, which most trend keynotes leave unresolved. His client list (NASA, Disney, World Bank, Intel, American Express) signals a track record with organisations that have to make capital decisions on long horizons, not just generate quarterly campaigns. Beyond Diversity, co-authored with Jennifer Brown, gives him a credible second register on inclusion as a commercial and cultural question, useful when a single keynote needs to cover both growth strategy and people. He works as a trained marketer (15 years at Ogilvy and Leo Burnett), which means innovation and trend content lands with sales, brand and customer leaders rather than staying at the level of abstract foresight. Biography highlights 3-time Wall Street Journal and USA Today bestselling author of ten books, including #1 WSJ bestseller Non-Obvious Megatrends. Adjunct professor of marketing and storytelling at Georgetown University. Co-founder of Ideapress Publishing and founder of the Non-Obvious Company. Co-author of Beyond Diversity with Jennifer Brown (Simon & Schuster / Ideapress); WSJ bestseller. Keynote and workshop work for NASA, Disney, Intel, American Express, World Bank, Coca-Cola, Microsoft. Featured speaker at five SXSW events; keynote at SXSW Sydney 2023, the first SXSW outside the United States. Biography Trend forecasting is crowded. Most of what circulates inside large organisations is a recycled version of the same six themes: AI, sustainability, hybrid work, generational change, geopolitics, the consumer. The harder question for a senior team is which of those headlines actually changes how they should allocate capital next year, and which signals further out are not yet on anyone’s deck. That gap is the work Rohit Bhargava has built a decade-long research practice around. His Non-Obvious book series, published annually from 2015 and culminating in the WSJ and USA Today #1 bestseller Non-Obvious Megatrends in 2020, reached more than a million readers. The follow-up, The Future Normal, co-authored with Henry Coutinho-Mason and launched at SXSW in 2023, covers thirty shifts shaping the next decade, from generative AI to biophilic design. The 2024 book Non-Obvious Thinking, written with Ben duPont, formalises the SIFT method, a four-step habit for curating ideas that audiences can take into their own teams. Before becoming a full-time author and speaker, Bhargava spent 15 years in brand strategy roles at Ogilvy and Leo Burnett, advising consumer brands on behaviour and storytelling. He teaches marketing and storytelling at Georgetown University as an adjunct professor, and writes a monthly column for Inc. on books that matter. With Jennifer Brown he co-authored Beyond Diversity, a Wall Street Journal bestseller published by Simon & Schuster and Ideapress, which examines inclusion across twelve domains including workplace, leadership and technology. The client list, NASA, Disney, the World Bank, Intel, American Express, Microsoft, signals where the work lands hardest: organisations that need to translate cultural and technological signals into product, capital and brand decisions on multi-year horizons. The point is not to predict the future but to teach a working team to spot it earlier than the competition. Key speaking topics Trend forecasting and the non-obvious method Innovation as a research discipline Marketing and brand in low-trust markets AI and the future of trust The Future Normal: thirty shifts reshaping commerce Inclusive growth and Beyond Diversity Storytelling for senior leaders Creative thinking and curation as a managed habit Ideal for Chief marketing officers, brand teams and customer experience leads navigating attention and trust in saturated markets Chief strategy officers, innovation leads and corporate development teams setting multi-year direction Boards and executive committees commissioning a sharper view of how cultural and technological shifts will hit their category Sales and partner kickoffs where a strategy team wants a working method, not a trend slide Audience outcomes A working knowledge of the SIFT method and how to use it inside a team A named set of cultural and commercial shifts that are relevant to the audience’s specific industry, not generic trend lists A shared vocabulary for separating durable signals from passing noise Practical examples of how organisations including NASA, Disney and World Bank have translated trend research into operating decisions Confidence that trend work can be a repeatable internal habit, not a one-off external report

Why organisations work with Melica Moshiri Operating knowledge of the AI scale-up hiring market. SkillTorch places go-to-market, C-suite and technical leaders into companies across automation, robotics, semiconductors and enterprise AI. A founder’s view of what it takes to start and run a specialist business from cold, not a consultant’s view of someone else’s growth. A public platform built through BBC’s The Apprentice (2025) and a TEDxWorthing talk, giving her access to audiences beyond a typical recruitment specialist. A working perspective on how AI is changing recruiting itself, drawn from running an AI-focused search firm and hosting the SkillTorch Disrupt podcast with founders and operators in the field. Biography highlights Founder, SkillTorch, retained and embedded search for venture-backed AI companies across North America and Europe Host, SkillTorch Disrupt podcast on hiring, leadership and applied AI TEDxWorthing speaker, October 2025: “How to reconnect in a robotic world” BBC The Apprentice 2025 contestant, reached Week 8, won five tasks including Project Manager Speaking platforms include NBCUniversal, Spotify and the University of Brighton BA (Hons) Law with Business, University of Brighton Biography AI companies in their first scaling phase usually have two problems at once. The product is moving faster than the leadership team can hire for, and the executive roles they need most are the ones the founders have never personally done. SkillTorch was built to sit inside that gap. Melica Moshiri founded SkillTorch in 2022 after a decade in recruitment that took her from Pareto Law in the UK through executive search in advertising technology to Los Angeles and Orange County, where she opened a US office for a UK firm before launching her own. The firm runs retained and embedded search for venture-backed AI companies across the US and Europe, placing senior commercial, technical and operational leaders into businesses in automation, robotics, semiconductors and enterprise AI. In 2025 she became a contestant on BBC’s The Apprentice, reaching Week 8 and winning five tasks, including one as Project Manager. The platform extended her public reach across BBC News, BBC Radio 5 Live, the Daily Mail, The Mirror and Persian broadcaster Manoto TV, and led to a TEDxWorthing talk later that year on how technology is reshaping the way people connect at work. She also hosts SkillTorch Disrupt, a podcast with founders and operators building applied AI in real-world settings. The recurring theme across her client work, her broadcasting and her speaking is the same: how small, recently funded companies design leadership teams that can hold up when growth gets ahead of the org chart. Key speaking topics Building and scaling a specialist business in the AI sector Executive hiring for venture-backed technology companies AI’s effect on recruiting and talent strategy Resilience and reinvention as a first-time founder Women founding and leading in technology Personal brand and visibility for entrepreneurs Ideal for Founders and CEOs of early-stage and Series A to C technology companies Heads of Talent and CHROs scaling teams inside AI-native businesses Entrepreneurship programmes, accelerators and university enterprise audiences Conferences on women in technology, leadership and founding Audience outcomes A working picture of how senior hiring inside AI scale-ups actually runs, from brief to closed offer Specific examples of what goes wrong when founders hire too late or too senior, and how to read the signals earlier A candid account of the public, financial and personal exposure that comes with founding a business and a media profile at the same time Practical positioning for women entering or founding in technology, drawn from her own market

Why organisations work with Susi O’Neill She translates frontier technology into language non-technical executives can act on, drawing on years running global brand content for Kaspersky, the world’s largest privately owned cybersecurity firm. Her practice is built around the adoption gap, not the technology itself, which is why she resonates with leaders whose AI rollouts have stalled at proof-of-concept. She brings a builder’s track record in tech storytelling, including the Platinum MarCom Award winning Insight Story podcast for Kaspersky and Editor-in-Chief roles on Secure Futures magazine and the Tomorrow Unlocked channel. Through EVA and her Rethinking the Hype Cycle newsletter, she works with leaders on inclusive AI adoption, including the lag in women’s engagement with AI tools and what closing it changes about who benefits from the technology. Biography highlights Founder and Executive Director of EVA, a London-based technology and communications consultancy. Former Head of B2B Brand Content (Global) at Kaspersky. Editor-in-Chief of Kaspersky’s Secure Futures magazine and Tomorrow Unlocked cyberculture channel. Creator and host of the Platinum MarCom Award winning Insight Story podcast. Named in Pepper Content’s Top 50 Global Women in Content 2023. Author of the Rethinking the Hype Cycle newsletter on AI and frontier technology adoption. Biography The hard part of AI is rarely the model. It is the distance between an executive sponsor and the team being asked to use a new tool by Friday. O’Neill has spent her career working that distance, first inside one of the world’s largest cybersecurity firms, now from the outside through her consultancy EVA. At Kaspersky, she ran global B2B brand content and edited Secure Futures, the company’s business-leader magazine, alongside the Tomorrow Unlocked cyberculture channel. She commissioned and hosted Insight Story, a podcast unpacking tech trends for executives that won a Platinum MarCom Award in 2023. The work taught her how senior buyers actually absorb information about complex technology, and where the standard tech-marketing playbook fails them. EVA, the practice she founded next, takes that experience into client work on AI strategy, responsible technology and adoption. Her newsletter Rethinking the Hype Cycle puts the same question to a wider audience: what does a serious organisation do once the AI announcement is out and the cultural work begins. She also writes and speaks on inclusive adoption, including the documented lag in women’s use of generative AI tools and what it costs organisations that ignore it. Earlier brand-content programmes for EY, GSK and Unilever, and a recognition in Pepper Content’s Top 50 Global Women in Content, sit behind that current work. The throughline is consistent. Technology only changes a business when the people inside it are willing to use it, and most organisations are still under-investing in the communications and trust work that makes that happen. Key speaking topics AI adoption and the hype cycle Responsible and trusted technology Frontier and emerging technologies for business Inclusive AI and women in technology Tech communications and thought leadership Cybersecurity culture and digital trust Ideal for CIO, CTO and Chief Digital Officer audiences whose AI programmes have stalled in pilot. CMO, communications and brand leaders building tech credibility with non-technical buyers. Boards and executive teams setting AI governance and responsible-use principles. Diversity, talent and L&D leaders working on inclusive AI capability across the workforce. Audience outcomes A clearer reading of where their organisation actually sits on the AI hype cycle, and which moves are worth making next. A practical sense of how to bring sceptical or hesitant employees with them, instead of around them. Specific examples of how serious organisations are translating frontier tech into adoption, not just announcements. A sharper view of inclusive AI as a capability question, including who is using these tools and who is being left behind.

Why organisations work with Christina Yan Zhang She co-writes the UN ITU standards her clients will eventually be measured against. Her CitiVerse evaluation framework spans 130 indicators across 14 domains, with input from more than 30 global authorities. She has converted that standards work into operational strategy for cities, including Tampere’s Metaverse Vision 2040, the first people-centred metaverse strategy adopted as a UN resource for governments. Her China innovation insight is grounded in direct operating experience, not commentary. As QS China Director from 2013 to 2020, she sat across hundreds of Chinese universities, national labs and science parks during the 13th Five-Year Plan. She holds advisory positions across the International Science Council’s Centre for Science Futures, The Economist Impact’s AI economy board, and TechUK’s Digital Twins Board, giving her unusually direct line of sight into where AI policy is heading. She was named in the 100 Global Women in AI 2025 list at Davos and chaired the jury of the 2024 Metaverse Entertainment World Awards under the patronage of Prince Albert II of Monaco. Biography highlights CEO, The Metaverse Institute Vice Chair, UN ITU Metaverse Working Group on Sustainability, Accessibility and Inclusion Co-Chair, UN ITU Task Group on Pre-standardisation for the CitiVerse Author of the UN’s first approved technical report on People-Centred CitiVerse China Director, QS World University Rankings, 2013 to 2020 100 Global Women in AI 2025 (announced at Davos) Biography The rules for AI in cities, public services and immersive environments are being written right now, mostly inside the UN ITU. Christina Yan Zhang is one of the people writing them. As Co-Chair of the UN ITU Task Group on Pre-standardisation for the CitiVerse, she leads the evaluation framework that 30 plus global authorities have shaped and that hundreds of cities are expected to align to before 2030. That standards work feeds directly into operational strategy. Her team at The Metaverse Institute produced Tampere Metaverse Vision 2040, the first people-centred metaverse strategy commissioned by a city government and subsequently published by the UN as a resource for other administrations. She is also the author of the UN’s first approved technical report on People-Centred CitiVerse, which set out an 8-level entry framework for governments and operators moving into virtual environments. She arrived at this work through an unusual route. Her PhD in 2012 was on digital twin applications for the construction industry, well before the term entered mainstream board conversations. Between 2013 and 2020 she was China Director for QS World University Rankings, building the firm’s China operation from scratch and sitting close to the universities, science parks and national labs that drove the country’s 13th Five-Year Plan in research and innovation. She now advises across the International Science Council’s Centre for Science Futures, The Economist Impact’s AI economy board, and TechUK’s Digital Twins Board. The throughline is consistent: where AI, digital twins and virtual environments meet public infrastructure, she has been writing the standards before most boards have read them. Key speaking topics AI governance and the UN CitiVerse standards Digital twins for cities and critical infrastructure Responsible deployment of virtual environments People-centred AI strategy for governments and operators China’s innovation system and research capacity Future of work in AI-enabled cities Ideal for Boards and C-suites setting AI, digital and immersive technology strategy Government and city leadership teams designing smart city or CitiVerse roadmaps Heads of innovation, digital and infrastructure inside regulated industries Investors and operators positioning capital around AI-powered urban and built-environment plays Audience outcomes A working map of where UN ITU standards on AI and the CitiVerse are heading, and what that means for their own roadmap A clearer view of how digital twins move from technical pilot to citywide operating system Direct insight into China’s innovation engine from someone who operated inside it for seven years A framework for testing whether their current AI and virtual-environment plans will hold up against emerging international standards

Why organisations work with Kai Gondlach Brings academic foresight methodology (Master of Arts in Future Studies, Freie Universitat Berlin) into rooms that usually receive trend talks. The difference shows in how scenarios are constructed, not just how they are presented. Co-editor of Arbeitswelt und KI 2030, the Springer Gabler reference volume that pulled together 78 contributors on AI and the world of work. Few keynote speakers on AI sit on a publication of comparable academic weight in the German-speaking market. Built the scientific methodology behind a major commercial trend-research institute (2b AHEAD) before founding PROFORE. Boards get a foresight practitioner, not a generalist commentator. Works in both German and English, with sustained client traction in regulated sectors, insurance, mobility, energy, public administration, where foresight needs to survive contact with risk and compliance teams. Biography highlights Master of Arts in Future Studies, Freie Universitat Berlin; bachelor degrees in Sociology and Political/Administrative Sciences from Universitat Potsdam. Founder and Managing Director, PROFORE Gesellschaft fur Zukunft mbH, Leipzig. Co-editor of Arbeitswelt und KI 2030 (Springer Gabler), with Inka Knappertsbusch. Author and editor of further volumes including KI Jetzt! and Regenerative Zukunfte und kunstliche Intelligenz. Former Senior Research Fellow at 2b AHEAD ThinkTank, where he established the institute’s scientific foresight methodology. Member of the World Futures Studies Federation; founding member of the German Master of Future Science alumni network. Biography Strategic foresight is the discipline most often demanded and least often supplied at board level. Companies ask for a view of the next decade and receive a trend list. Kai Gondlach trained in the academic version of the discipline at Freie Universitat Berlin, where he completed the Master of Arts in Future Studies, before bringing that methodology into commercial practice. His four years as Senior Research Fellow at 2b AHEAD ThinkTank in Leipzig were spent translating academic foresight into work that industrial clients could act on. He built the scientific basis for the institute’s trend studies, then left in 2019 to found PROFORE, his own Leipzig-based foresight institute. The shift was deliberate. Clients increasingly wanted long-range scenarios that held up under board scrutiny, not headline trends. His publishing record sits on Springer Gabler. Arbeitswelt und KI 2030, co-edited with Inka Knappertsbusch, gathered 78 contributors across research and industry on how AI reshapes the structure of work; a second edition followed in 2024. KI Jetzt! and the Regenerative Zukunfte und kunstliche Intelligenz volumes extend the same method into operational AI and into the ecological and social dimensions of the technology. Gondlach is a member of the World Futures Studies Federation and a founding member of the German Master of Future Science alumni network. Boards in insurance, mobility, energy, and public administration use him when the question is not whether AI matters, but how to plan capital, talent, and operating model around a future that resists single-point forecasting. Key speaking topics Strategic foresight and scenario planning Artificial intelligence in the world of work Future of work and workforce transformation Industry 5.0 and regenerative futures Mobility, energy and sustainability to 2050 Long-range megatrends for boards and executives Ideal for Boards and executive committees setting long-range AI and workforce strategy CHROs and transformation leads redesigning the workforce around AI capability CSOs and corporate strategy teams in regulated sectors (insurance, mobility, energy, public administration) Innovation and R&D leadership briefing senior stakeholders on long-horizon scenarios Audience outcomes A working method for thinking about long-range futures, not a memorable trend list Sharper distinction between trends, scenarios, and forecasts in their own strategy conversations A defensible language for talking about AI with boards that resists hype on either side Concrete reference points from German-speaking industry on how AI is restructuring the world of work

Why organisations work with Nina Schick She published the first book on generative AI in 2020, years before the technology entered the boardroom conversation, which means her current strategic claims sit on a public track record rather than a recent pivot. She is one of very few commercial speakers who has briefed both a sitting US President and a former NATO Secretary General on AI and statecraft, giving senior audiences direct access to the language used at the top of Western policymaking. Her “Industrial Intelligence” thesis reframes AI from a software adoption question into an infrastructure and energy question, which is the conversation CFOs, infrastructure heads, and strategy teams now need but rarely get from a generalist AI speaker. Through Tamang Ventures she holds active advisory roles with frontier firms including Synthesia, valued at $4 billion in its January 2026 Series E led by Google Ventures, alongside Qlik and Truepic, so she speaks from inside the capital and product decisions she describes, not from the outside. Biography highlights Author, Deepfakes: The Coming Infocalypse (Hachette/Twelve, 2020), translated into multiple languages and widely cited as the first book on AI-generated content Briefed US President Joe Biden and advised former NATO Secretary General Anders Fogh Rasmussen as Director of Rasmussen Global Worked on Emmanuel Macron’s 2017 presidential campaign and advised on the Democracy Perception Index, the largest annual study on global attitudes toward democracy Founder of Tamang Ventures; advisor to Synthesia (valued at $4B in its January 2026 Series E), founding AI Council member at Qlik, advisor to Truepic Strategic analyst contributor across CNN, Bloomberg, and Sky News during a decade of European political crises including Brexit and the war in Ukraine Half-Nepalese and half-German, with degrees from the University of Cambridge and University College London; now based in the United States after a decade inside UK and EU policy Biography The race to dominate artificial intelligence is no longer a software race. It is a contest over fabs, energy, compute, and the sovereign infrastructure that will determine which states and which companies hold the next decade of pricing power. That argument, which Nina Schick calls Industrial Intelligence, sits at the centre of her current work with governments, defence institutions, and frontier AI companies. She arrived at it earlier than most. Her 2020 book Deepfakes: The Coming Infocalypse, published by Hachette imprint Twelve, was among the first to describe the geopolitical and informational consequences of generative AI, written before ChatGPT existed as a public product. It introduced the concept of the Infocalypse and is cited as foundational reading in national security and policy circles. That early thesis is grounded in a long career inside European policymaking. As Director of Rasmussen Global, she advised Anders Fogh Rasmussen, former NATO Secretary General, on political risk and the technological evolution of warfare. She worked on Emmanuel Macron’s 2017 presidential campaign and advised on the Democracy Perception Index, the largest annual machine-learning study on global attitudes toward democracy. She has briefed US President Joe Biden on AI, technological integrity, and statecraft, and works with the US Army, the United Nations, and Mastercard on AI and sovereignty. For seven years she also served as a strategic analyst contributor across CNN, Bloomberg, and Sky News during the Brexit, Trump, and Ukraine cycles. Through Tamang Ventures, the advisory firm she founded, she now sits inside the companies building the new stack: Synthesia in enterprise AI video, valued at $4 billion in its January 2026 Series E led by Google Ventures, Qlik in data analytics where she is a founding AI Council member, and Truepic in digital provenance. Now based in the United States, she works with the institutions and capital allocators that will shape what the AI infrastructure stack looks like at the end of this decade. The combination of policy access, commercial proximity, and a public thesis published five years before the market caught up is what makes her useful in a boardroom. Key speaking topics Industrial Intelligence and the AI infrastructure stack Generative AI and corporate strategy AI, semiconductors, and the US-China technology competition AI and energy demand Deepfakes, synthetic media, and information integrity AI in defence, NATO, and statecraft Sovereign AI and the future of national power Ideal for Boards, CEOs, and strategy heads recalibrating long-range AI investment around infrastructure rather than tooling CIOs, CTOs, and chief data officers needing a geopolitical lens on supply, partnerships, and dependency risk Defence, security, and public sector audiences working on AI policy, sovereignty, and statecraft Investor and capital allocator audiences pricing AI exposure across compute, energy, and software layers Audience outcomes A clear thesis about why AI is an infrastructure and energy contest, not only a software adoption question A working frame for assessing corporate exposure to compute, semiconductor, and energy supply constraints Specific examples of how policy, defence, and frontier AI companies are already operating inside the Industrial Intelligence framework Sharper questions to take into the next strategy review on AI, sovereignty, and dependency risk A grounded view of where deepfakes and synthetic media now sit in the corporate and political risk picture

Why organisations work with Kieran Gilmurray He has shipped AI and intelligent automation programmes inside named enterprises including Rapid7, Mercer, and Pearson, with documented savings in the tens of millions. That track record sits behind every framework he presents. His three books on generative AI, agentic AI, and organisational digital transformation give boards a structured reference, not a hype reel. They are written for the executive who has to decide, not the engineer who has to build. He treats agentic AI as an operating model question. The conversation moves quickly from “what is an AI agent” to which decisions an agent should own, what governance the board needs to put around it, and how the workforce is redesigned in response. Seven LinkedIn Top Voice recognitions and Thinkers360 rankings in generative and agentic AI mean the audience is hearing from a voice already widely cited in their own feeds, which lifts the in-room credibility of the conversation. Biography highlights Author of Agentic AI: A Business Leader’s Guide to the Future of Work and Digital Labour, The A to Z of Generative AI, and The A-Z of Organizational Digital Transformation. CEO and Founder, Kieran Gilmurray and Company Limited. Chief AI Innovator, Technology Transformation Group. Seven-time LinkedIn Top Voice in AI and related categories. Listed by Thinkers360 in the Top 50 Generative AI and Top 100 Agentic AI thought leaders. MBA (1st Class Distinction, Entrepreneurship Award) and MSc in Computer Science, both Queen’s University Belfast. Biography The gap between AI ambition and AI in operation has become the defining management problem of the decade. Pilots prove the technology works. Boards then struggle to convert those pilots into structural advantage, and most leadership teams still lack a clear view of which decisions an AI agent should now own. This is the territory Kieran Gilmurray works in. As CEO of Kieran Gilmurray and Company Limited and Chief AI Innovator at the Technology Transformation Group, he advises boards and executive teams on moving generative and agentic AI from concept into operating reality. His work spans finance, HR, customer service, and the wider digital labour stack. The credibility behind the advice is operational. Programmes he has led inside Rapid7, Mercer, and Pearson are referenced across his bureau profiles with quantified outcomes in the tens of millions of pounds and dollars. His three books, including Agentic AI: A Business Leader’s Guide to the Future of Work and Digital Labour, give business leaders a structured way to think about agent design, governance, and workforce redesign without retreating into engineering language. Independent recognition reinforces the position. Kieran has been named a LinkedIn Top Voice seven times and ranks on Thinkers360 leaderboards for both generative AI and agentic AI. He holds an MBA with distinction from Queen’s University Belfast and an MSc in Computer Science from the same institution, a pairing that maps directly onto the audience he writes for: business leaders who need the technology to make commercial sense. Key speaking topics Agentic AI and digital labour Generative AI for business leaders AI strategy and operating model design Intelligent automation at enterprise scale Digital transformation in regulated industries AI governance and board-level oversight Future of work in the age of AI Ideal for Boards and executive committees moving from AI pilots to enterprise deployment CIOs, CTOs, CDOs, and Chief AI Officers designing operating models around generative and agentic AI CHROs and transformation leads redesigning roles and workflows as AI agents enter the workforce Industry conferences in financial services, professional services, technology, insurance, and the public sector Audience outcomes A working definition of agentic AI that distinguishes it from generative AI and earlier automation, with examples from named enterprises A board-level view of where AI agents are already producing operating savings and where they are still pilot theatre A practical map of governance questions a leadership team must answer before scaling AI agents across functions A clear framing of workforce redesign as AI shifts which decisions sit with humans and which sit with digital labour

Why organisations work with Andreas Welsch Two decades inside SAP, including a vice president role connected to its Global AI Center of Excellence, give him a working knowledge of enterprise AI at the scale Fortune 500 boards actually operate. His AI Leadership Handbook is built on 60+ named interviews with AI leaders and offers a practitioner framework rather than commentary on the market. The 9 Steps to Successful AI Projects gives leadership teams a sequence to challenge stalled programmes against, covering ownership, strategy alignment, cross-functional delivery and governance. His What’s the BUZZ? podcast, running since 2021 with hundreds of AI executives, keeps his material grounded in what is currently working inside enterprises, not what was true 18 months ago. Named LinkedIn Top Voice, Thinkers360 Top 10 in AI, Generative AI and Agentic AI, and DataIQ Data & AI Leader of the Year Finalist 2025, which signals he is taken seriously by the audiences that book him. Biography highlights Founder and Chief AI Strategist, Intelligence Briefing Former Vice President at SAP, with leadership roles connected to its Global AI Center of Excellence and Business AI go-to-market function Author of AI Leadership Handbook and The HUMAN Agentic AI Edge Host of What’s the BUZZ? AI in Business podcast since 2021 Adjunct Professor at West Chester University of Pennsylvania; Editorial Board member, Journal of AI, Robotics, and Workplace Automation LinkedIn Top Voice; Thinkers360 Top 10 in AI, Generative AI and Agentic AI; DataIQ Data & AI Leader of the Year Finalist 2025; PEX Network Top 30 AI Leader 2025 Biography Enterprise AI has moved past the question of whether to invest. The harder question now is why most programmes never leave pilot. Welsch’s work answers it from the operator’s seat. Over two decades at SAP, including a vice president role connected to its Global AI Center of Excellence, he watched Fortune 500 organisations buy capability and fail to convert it into operating advantage. That experience is the substrate of the AI Leadership Handbook, his best-selling book drawn from 60+ interviews with AI leaders. The book sets out a practitioner sequence, The 9 Steps to Successful AI Projects, that leadership teams use to challenge stalled programmes against ownership, strategy alignment, cross-functional delivery and governance. Through Intelligence Briefing, the advisory he founded after SAP, Welsch now works with senior teams on agentic AI specifically: where autonomous systems sit on the org chart, how accountability survives when decisions are delegated to machines, and what workforce design looks like when AI agents are colleagues rather than tools. His second book, The HUMAN Agentic AI Edge, makes that argument in book form. His What’s the BUZZ? podcast, running since 2021, keeps the material fresh by putting him in regular conversation with named AI leaders inside Accenture, IBM, NVIDIA, PwC, SAP and Siemens. Thinkers360 ranks him in their top 10 globally on AI, Generative AI and Agentic AI; DataIQ named him a Data & AI Leader of the Year finalist in 2025. Key speaking topics Enterprise AI strategy and operating advantage Agentic AI and autonomous systems in the enterprise AI governance and responsible adoption Generative AI for business outcomes Workforce design for the AI-ready organisation AI leadership and executive readiness Change management for AI programmes Ideal for Boards, CEOs and executive committees commissioning enterprise-wide AI strategy CIOs, CTOs, CDOs and Chief AI Officers responsible for moving AI from pilot to operating model CHROs and people leaders redesigning roles around AI capability Industry conferences and leadership summits in technology, financial services, manufacturing and professional services Audience outcomes A sharper read on why most enterprise AI programmes stall and what changes when they do not Familiarity with The 9 Steps to Successful AI Projects as a diagnostic for their own programme A working position on agentic AI: where it belongs in the operating model and where it does not Specific governance questions to take back to the board on accountability, data privacy and risk A view of what other Fortune 500 AI leaders are actually doing now, from Welsch’s podcast research

Why organisations work with Alison McCauley She brings a Stanford-trained social scientist’s lens to AI adoption, focused on the human and organisational variables that decide whether a deployment moves the operating numbers. Her LinkedIn Learning course on emerging technology has reached more than 90,000 enterprise learners, evidence she can translate complexity into something a non-technical workforce can act on. How To Think With AI is built on a year of fieldwork with hundreds of early adopters, giving her a usable framework for cognitive performance with AI rather than a survey of capabilities. She has tracked technology adoption cycles across blockchain and AI since 2016, which gives boards a pattern recogniser, not a vendor pitch, when assessing what is signal and what is hype. Her writing in Harvard Business Review, Forbes, and VentureBeat, plus LinkedIn Top Voice status, gives senior audiences a credible voice they can quote internally after the keynote. Biography highlights Bestselling author of Unblocked: How Blockchains Will Change Your Business (O’Reilly Media) and How To Think With AI. Founder and CEO of Unblocked Future, a strategy firm advising leaders on adoption of emerging technology. Chief Advocacy Officer at Think with AI. LinkedIn Learning course creator with more than 90,000 students enrolled in her enterprise technology programme. Named a LinkedIn Top Voice; published in Harvard Business Review, Forbes, and VentureBeat. BA in Psychology and MA in Organization Design and Development, Stanford University. Speaking platforms include SXSW, the Aspen Ideas Festival, Columbia University, and UC Berkeley. Biography Most AI rollouts stall at the same place. The model works, the licence is bought, and three months later the only people getting value from it are the same handful who would have found a way regardless. The variable that matters is not the technology. It is whether the rest of the workforce learns to think with it. That is the operating problem Alison McCauley has spent two decades on. Her training is in psychology and organisational behaviour, both at Stanford, and her consulting career has put her opposite C-suites at firms including Adobe, Oracle, IBM, PNC, First Data, and Verizon. She studies the human side of how new technology lands inside organisations, which is why her work reads differently from technologist commentary on AI. She wrote Unblocked with O’Reilly Media in 2018, before blockchain literacy was a board concern, and her LinkedIn Learning course on the same topic became a default executive education resource with more than 90,000 enrolments. Her current book, How To Think With AI, is built on a year of fieldwork with hundreds of generative AI early adopters and translates what they do differently into a framework leaders can teach. As Chief Advocacy Officer at Think with AI and founder of Unblocked Future, she works with senior teams on the practical question of what changes when AI becomes a capability rather than a tool. Her articles appear in Harvard Business Review, Forbes, and VentureBeat. She has been named a LinkedIn Top Voice. The reason boards bring her in is not to be told that AI matters; it is to be shown what their workforce has to do differently for the next eighteen months to count. Key speaking topics AI adoption and workforce capability Human-centred technology change Generative AI for cognitive performance Digital transformation strategy Emerging technology pattern recognition Executive AI literacy Future of work in the age of AI Ideal for C-suite and board audiences setting AI strategy beyond pilots CHROs and learning leaders rebuilding capability around AI Transformation and innovation leads moving deployment from tooling to operating advantage Executive education and senior leadership programmes Audience outcomes A clear vocabulary for the human variables that determine AI return on investment A practical framework, drawn from fieldwork with early adopters, for how individuals and teams use AI to lift cognitive performance A sharper read on which AI signals matter for their sector and which are vendor noise Confidence to lead AI conversations internally without deferring to technology vendors A point of view on workforce redesign that holds up in a board setting

Why organisations work with Tom Roach He originated the “performance plateau” framework, a specific, named diagnosis of the growth ceiling that confronts brands over-indexed on performance channels, developed in collaboration with econometrician Dr Grace Kite and published in Marketing Week. His IPA Effectiveness Gold Awards span McDonald’s, Sainsbury’s, John Lewis, and Barclays, among the most analytically rigorous advertising effectiveness cases in UK industry history. As Head of Effectiveness at adam&eveDDB, he worked directly alongside Les Binet, the most cited figure in marketing effectiveness research, placing him at the centre of the field’s most serious practitioner thinking. He is one of the few voices making the commercial case for brand investment from inside a performance-first agency group, giving his arguments about the brand/performance divide an operational credibility that consulting positions rarely carry. His “Share of Model” framework addresses an unmapped emergent risk: how large language models represent brands, and what that means for commercial visibility as AI increasingly mediates discovery and purchase intent. Biography highlights VP Brand Strategy at Jellyfish, part of The Brandtech Group; prior roles at adam&eveDDB, BBH London, Leo Burnett, and AMV BBDO – a career spanning over two decades at the leading edge of UK advertising Multiple Gold IPA Effectiveness Awards across campaigns for McDonald’s, Sainsbury’s, John Lewis, and Barclays Head of Effectiveness at adam&eveDDB working directly alongside Les Binet Key contributor to BBH London’s designation as IPA Effectiveness Company of the Year 2018–19 Marketing Week columnist; regular speaker at Cannes Lions, SXSW, Google Firestarters, and IPA Effweek Originator of the “performance plateau” concept (with Dr Grace Kite) and associated “Bothism” brand/performance integration framework, widely adopted in marketing practice Biography Many marketing organisations are measuring the right things in the wrong sequence. Brands that concentrated investment in performance channels – search, social, display – often found their growth curve flattening at precisely the moment leadership expected it to accelerate. Tom Roach named this pattern the “performance plateau,” developing the concept with econometrician Dr Grace Kite and publishing it in Marketing Week, where it has since entered mainstream marketing vocabulary. The credibility behind that argument is operational. As Head of Effectiveness at adam&eveDDB, Roach worked directly alongside Les Binet – the most cited figure in marketing effectiveness research – before that, spending seven years driving BBH London’s effectiveness practice to IPA Effectiveness Company of the Year status in 2018–19. The IPA Gold Awards he contributed to, across McDonald’s, Sainsbury’s, John Lewis, and Barclays, represent some of the most analytically demanding advertising cases in UK industry history. At Jellyfish, part of The Brandtech Group, Roach holds a position that few brand effectiveness thinkers occupy: making the case for long-term brand investment from within a digital-first, performance-oriented agency. That vantage point has produced frameworks with real institutional friction behind them, “Bothism” (the philosophy of ending the false choice between brand and performance), a revised model of how people enter and move through markets, and “Share of Model,” which addresses what large language models say about brands and why this matters commercially. He writes regularly for Marketing Week and speaks at Cannes Lions, SXSW, and IPA Effweek, using those platforms to pressure-test frameworks with practitioners rather than simply advocate positions. Key speaking topics Marketing effectiveness Brand and performance marketing integration The performance plateau Brand building in fragmented media Creative effectiveness Generative AI and brand strategy AI brand visibility and Share of Model Ideal for CMOs and marketing leadership teams whose growth from performance channels is flattening CFOs and senior leaders challenged to build the internal case for long-term brand investment Brand and performance marketing teams operating in organisational silos Agency leadership and strategy teams working across integrated client portfolios Audience outcomes A specific diagnostic for identifying whether their organisation has hit the performance plateau, and a framework for addressing it Clearer understanding of how brand building and performance marketing are commercially interdependent rather than competing priorities A framework for evaluating creative effectiveness across fragmented, platform-native media environments Practical thinking on what AI-mediated search and discovery means for brand visibility (Share of Model) Language and commercial evidence to make the case for brand investment to boards and finance leadership

Why organisations work with Didem Ün Ateş She has operationalised responsible AI inside three of the world’s largest organisations (Microsoft, Accenture, and Schneider Electric) as an executive with direct accountability, not as an external advisor. That gives her a precise understanding of where enterprise AI governance breaks down in practice. Her role as Advisor and Generative AI Council Member for Goldman Sachs Value Accelerator, working with over 300 portfolio companies, gives boards and investment teams a live investor-grade view of how AI strategy translates, or fails to translate, into commercial value and risk-adjusted returns. LotusAI’s documented methodology, running 60 co-creation workshops across more than 200 SVPs and VPs to identify and prioritise 200 generative AI use cases inside a single Fortune 500 company, is a concrete, tested model for enterprise AI adoption, not a conceptual framework. As an accredited algorithm auditor and former WEF AI Governance Alliance Fellow, she connects organisations to the governance principles emerging at the regulatory and multilateral level, including the responsible-AI debates shaping how the technology is regulated globally. Her dual degree from the University of Pennsylvania (BS in Engineering from the Moore School and BS in Economics from the Wharton School), combined with an MBA from Columbia Business School, means she can engage credibly at both the technical architecture and commercial investment layers of an AI decision, a combination that is genuinely uncommon. Biography highlights Founder and CEO of LotusAI Ltd, advising private equity firms, hedge funds, financial institutions, and Fortune 500 companies on AI strategy, responsible AI governance, and talent transformation Former Vice President, AI Strategy & Innovation at Schneider Electric, where she defined the company’s AI and generative AI strategy, innovation roadmaps, ecosystem partnerships, and responsible AI programme Former Head of Data & AI / General Manager, Data & AI at Microsoft (EMEA) and former Managing Director of Data & AI, Europe at Accenture’s Microsoft Business Group; earlier roles at Capgemini, EY, BT, and Motorola Advisor and Generative AI Council Member for Goldman Sachs Value Accelerator, working with the firm and over 300 portfolio companies Board member of the Edge AI Foundation, the Wharton AI Alumni Studio, the Columbia Business School Women’s Circle, and the Hg Foundation Technology Advisory Board Certified Algorithm Auditor and Executive Coach; former WEF AI Governance Alliance Fellow; Forbes Technology Council member TechWomen100 Champion and Trailblazer 50 honouree; 2025 recognition includes CEO of the Year Awards UK in the AI Advisory category, Responsible AI Innovation & Growth in Business Award, New Technology Consultancy of the Year, Best New Business of the Year, and British Business Excellence Award Alumna of the University of Pennsylvania (Management & Technology dual degree: BS in Engineering from the Moore School and BS in Economics from the Wharton School) and Columbia Business School (MBA) Biography Most enterprise AI strategies stall in the same place: at the gap between approved roadmap and accountable delivery. Didem Ün Ateş has worked on both sides of that gap inside organisations large enough for every failure to matter. As VP, AI Strategy & Innovation at Schneider Electric, she held direct accountability for the company’s generative AI strategy and innovation roadmap, its ecosystem partnerships, its responsible and sustainable AI programme, and the upskilling of its global workforce. Before that, she served as Head of Data & AI and General Manager, Data & AI at Microsoft EMEA, with revenue accountability of over $2.7 billion across more than 70 subsidiaries, and as Managing Director of Data & AI, Europe within Accenture’s Microsoft Business Group. She founded LotusAI Ltd to apply that operational depth where boards and investment teams need it most. Her advisory relationship with Goldman Sachs Value Accelerator, as Advisor and Generative AI Council Member, puts her in direct conversation with over 300 portfolio companies on AI value creation, governance, and risk. LotusAI’s engagements have included guiding a generative AI opportunity scan across more than 200 senior leaders in a Fortune 500 company, delivering a three-year use-case roadmap tied to the organisation’s strategic plan and regulatory requirements. Her work sits at the intersection of commercial strategy and institutional accountability. As an accredited algorithm auditor and former WEF AI Governance Alliance Fellow, where she has co-chaired sessions on AI and sustainability at WEF summits, she connects the boardroom conversation to the multilateral frameworks shaping how responsible AI is defined and regulated globally. She also sits on the Hg Foundation Technology Advisory Board, alongside senior leaders from ING, Google, McKinsey, and Accenture. She holds a dual degree from the University of Pennsylvania, in Engineering from the Moore School and in Economics from the Wharton School, and an MBA from Columbia Business School. Recent recognition includes the CEO of the Year Awards UK 2025 in the AI Advisory category, the Responsible AI Innovation & Growth in Business Award 2025, and the British Business Excellence Award 2025, alongside the earlier TechWomen100 Champion and Trailblazer 50 honours. Key speaking topics Enterprise AI strategy and governance Generative and agentic AI adoption at scale Responsible and sustainable AI AI for private equity, private credit, and financial services AI-driven workforce capability and talent transformation AI risk management and regulatory compliance Edge AI, physical AI, embedded AI, and tinyML AI leadership training and executive workshops Ideal for Boards and C-suite teams (CEO, CTO, CDO, CAIO) building or pressure-testing enterprise AI strategies Chief Data and AI Officers designing governance frameworks for generative AI adoption Private equity and investment leadership teams assessing AI value creation and risk across portfolios Transformation and innovation leaders in financial services, industrial, and consulting sectors navigating responsible AI operationalisation Audience outcomes Practical criteria for identifying, prioritising, and sequencing AI use cases, tools, platforms, and agents within a complex organisation A clearer model of where enterprise AI governance frameworks typically break down, and what structural conditions make them durable A sharper understanding of how responsible AI principles translate into investment-grade governance, not just compliance documentation A working language for talent transformation in the agentic AI era, including the workforce decisions board members need to be ready to make More confident language for board-level conversations on AI risk, sustainability, and value creation Awareness of inclusive AI design as both a reputational risk and a long-term commercial consideration

Why organisations work with Paul Gibbons His Adaptive Adoption model – a seven-pillar behavioral science framework for AI adoption – and its companion diagnostic, the Adaptive Adoption Maturity Index (AAMI), give leaders a structured tool for assessing and addressing the human conditions that determine whether an AI investment delivers returns or stalls. This kind of named, built IP is rare in this topic area. «The Science of Organizational Change» is cited by Google’s change team and Microsoft’s internal culture group as having reoriented how they approach transformation: an unusual form of verification that the intellectual framework holds up under real operational pressure, not just in consulting engagements. He will tell an organisation what is wrong with its change thinking. The Chairman of KPMG described the experience as hearing «what we needed to hear, not what we wanted to hear», a quality that becomes valuable when senior leaders have quietly invested in approaches that are not working. His practitioner career spans founding one of Europe’s leading leadership consulting firms (Future Considerations), serving as Partner at IBM Consulting, and developing change management methodology in PwC’s Strategy, Innovation and Change practice, meaning the frameworks have been stress-tested in exactly the large, complex organisations that attend senior leadership events. His academic breadth spanning neurochemistry, economics, neuroscience, philosophy, and behavioral science – allows him to draw on disciplines rarely applied to organizational transformation, and to name and debunk the pseudoscience that fills a field where, as Stanford’s Jeffrey Pfeffer has noted publicly, charlatanism is common. Biography highlights Founder and CEO of Future Considerations (2001), one of Europe’s leading leadership and culture change consulting firms, with named clients including Shell, BP, HSBC, Barclays, and KPMG Former Partner at IBM Consulting (Talent and Transformation); former senior strategist at PwC’s Strategy, Innovation and Change practice, where he developed its change management and corporate transformation methodologies Author of eight books including «The Science of Organizational Change» – named among the top change management texts of all time – and «Adopting AI: The People-First Approach» (2025) Ranked #5 globally in organizational culture change by Global Gurus; named among the top 52 globally in AI in 2026 (London Speaker Bureau) Fellow of the Royal Society of Arts (FRSA); Adjunct Professor of Business Ethics at the University of Denver (2015-2018); member of the American Philosophical Association and the U.S. Academy of Management Council Writing featured in The Wall Street Journal, The Financial Times, and The Guardian; endorsed by Jeffrey Pfeffer (Stanford Business School) and Simon Collins (Chairman, KPMG) Biography Most organisations know their AI and transformation investments are underperforming. The harder question is why and the honest answer, in most cases, is that the behavioural and cultural architecture of the organisation was never redesigned alongside the technology. Paul Gibbons has spent three decades building the evidence base that explains this failure, and the frameworks that help leaders act on it. His intellectual contribution begins with a provocation. In «The Science of Organizational Change,» Gibbons argues that most change management frameworks are built on myth and untested pop psychology, and replaces them with approaches grounded in behavioural economics, neuroscience, and complexity theory. Google’s change team and Microsoft’s internal culture group both credited the book with reorienting how they approach transformation. Jeffrey Pfeffer of Stanford Business School praised his work for bringing scientific rigour to what he described as a field riddled with pseudoscience. That critique evolved into a constructive framework for the AI era. His Adaptive Adoption model, a seven-pillar approach grounded in behavioral science, offers leaders a structured alternative to applying conventional change management to AI transformation. Its companion diagnostic, the Adaptive Adoption Maturity Index, helps organisations assess where they actually stand. The model draws on three decades of board and C-suite advisory work, including founding Future Considerations, one of Europe’s leading leadership consulting firms, serving as Partner at IBM Consulting, and developing change methodology in PwC’s Strategy, Innovation and Change practice. Gibbons is a Fellow of the Royal Society of Arts and is ranked among the top five globally in organizational culture change by Global Gurus, and among the top 52 globally in AI in 2026. He has taught business ethics and leadership at the University of Denver, serves on the board of Denver’s Institute for Enterprise Ethics, and hosts the Think Bigger Think Better podcast, which explores the intersection of AI, behavioral science, and organizational leadership. Key speaking topics Behavioral science and organizational change AI adoption and workforce transformation Culture change and behavior design Change management myths and evidence-based practice AI ethics and organizational governance Leadership in complex and uncertain environments The future of work and human-machine collaboration Ideal for CHROs and people transformation leaders navigating technology-driven organizational change Boards and C-suite leaders making AI adoption and governance decisions Organizational development and change management practitioners Digital and technology transformation leaders in large, complex organizations Audience outcomes A clear framework for understanding why culture change and AI adoption efforts typically fail, grounded in behavioral science rather than convention Practical tools for diagnosing where behavioral and cultural gaps are undermining technology investments A more rigorous basis for evaluating AI adoption strategies and distinguishing credible signals from market noise Language and framing for board and C-suite conversations about the organizational conditions required for successful transformation Familiarity with the Adaptive Adoption framework and Adaptive Adoption Maturity Index as structured, evidence-based alternatives to conventional change management applied to AI