Digital Transformation

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

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

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

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

Why organisations work with Confidence Staveley A practitioner voice on cybersecurity rooted in build-side delivery: founder of a foundation that trains thousands of women across 22-plus African countries, not a commentator describing the field from outside it. Author of API Security for White Hat Hackers (Packt, 2024), a technical book serious enough to be used inside security teams, written with co-author Christopher Romeo. Sits on the World Economic Forum Global Future Council on Cybersecurity, giving boards a direct line to how global policy and operational practice are converging. Brings a developing-economy lens most bureau cyber speakers do not: digital trust, payment threat landscapes and capacity-building in markets where the cost of a breach lands differently. Operational credibility on the workforce question: her CyberGirls Fellowship has become a model programme cited in the World Bank 2023 practitioner note on closing the cyber skills gap. Biography highlights Founder and Executive Director, CyberSafe Foundation (Nigeria) Author, API Security for White Hat Hackers, Packt Publishing Member, World Economic Forum Global Future Council on Cybersecurity Member, Forbes Technology Council 2023 Cybersecurity Woman of the World Award; ISC2 Global Achievement Award Obama Foundation Leaders Africa, 2022 cohort SANS Institute Difference Maker Award, People’s Champion of the Year, 2024 Biography Most cybersecurity conversations at the board level still depend on the security team simplifying for everyone else. The translation rarely survives the journey. Confidence Staveley built her career on closing that gap, in technical depth and in commercial clarity. She is the founder of the CyberSafe Foundation, a Nigerian non-profit that has trained women across more than twenty African countries through its CyberGirls Fellowship. The programme is a working answer to the cyber skills shortage, recognised in a 2023 World Bank practitioner note as a model worth scaling. Alongside the foundation, she co-authored API Security for White Hat Hackers, published by Packt, a working manual for security engineers rather than a thought-leadership book. Her platform reflects that hybrid of practice and policy. She sits on the World Economic Forum Global Future Council on Cybersecurity, is a member of the Forbes Technology Council, and was selected for the Obama Foundation Leaders Africa cohort in 2022. The recognitions matter because of where they cluster: technical authority, governance, and inclusion of underserved talent into the global cyber workforce. What organisations book her for is the rare combination of board-credible framing and ground-floor delivery, with a perspective shaped by markets where the cost of digital failure shows up faster. The 2023 Cybersecurity Woman of the World Award placed her against roughly 160 nominees from women-in-cyber networks worldwide; she came out on top. That kind of recognition, from inside the industry rather than from a bureau, is what separates a working practitioner from a circuit speaker. Key speaking topics Cybersecurity as board-level risk Digital trust and the payment threat landscape API security and application risk The cybersecurity workforce gap Women and inclusion in cyber Cyber capacity-building in emerging markets Data protection in the digital economy Ideal for Boards and audit committees treating cyber as a governance question CISOs, CIOs and CTOs are briefing executive teams on workforce and risk Financial services, fintech and payments leadership confronting fraud and digital trust Global organisations with African operations or talent strategy in the region Audience outcomes A clearer board-level vocabulary for cyber risk, separated from technical jargon A sharper read on where the cybersecurity workforce gap is widening, and what is actually working to close it A practitioner’s view of API and application security risk in commercial terms A more honest framing of inclusion in cyber as a talent-supply question, not a values statement

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, and the forthcoming The World After AI (early 2027) 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, the Norwegian University of Science and Technology, 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 forthcoming book, The World After AI, extends that foresight work, with the argument that the decisive variable in any AI future is the set of choices leaders make, not the technology itself. His framing of “AI Now, Next and Never” is built for boards that need to commit capital and set governance lines at the same time. Faculty roles at McMaster University, Toronto Metropolitan University, the Norwegian University of Science and Technology, 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 Guillem Graell He ran brand, digital and direct-to-fan at FC Barcelona between 2017 and 2021, a period in which the club’s digital products generated over one billion euros. Few speakers have operated a P and L of that size in this category. He built Barça Studios and BarçaTV+ from scratch into a direct-to-consumer business valued at more than 250 million euros, giving him a working blueprint for content as a revenue line, not a marketing cost. He took the club’s social footprint past 400 million followers and made it the first football club with 10 million YouTube subscribers, with engagement that consistently led the global sports rankings. He is now building, not retired. As co-founder of D2F Partners he designs, operates and funds direct-to-fan brands, so the case material in any keynote is current rather than archival. He teaches brand strategy at UPF Barcelona School of Management and marketing management at ESADE, which forces him to translate operating experience into frameworks that other leaders can use. Biography highlights Chief Marketing Officer, FC Barcelona, 2017 to 2021. Co-founder and Managing Partner, D2F Partners, building direct-to-fan businesses in sport and entertainment. Founder of Barça Studios and BarçaTV+, a direct-to-consumer venture valued at over 250 million euros. Earlier brand and marketing roles at Procter and Gamble, Reckitt Benckiser, Chupa Chups, Codorniu Group and Accenture. Faculty at UPF Barcelona School of Management (Master in Brand Strategy, since 2014) and ESADE Business School (Master in Marketing Management). Industrial Engineering, Universitat Politecnica de Catalunya, and General Management Programme (PDG), IESE Business School. Biography Sports clubs were among the first consumer brands to discover that their audience was bigger than their stadium and worth more than their broadcast deal. Between 2017 and 2021, FC Barcelona had to act on that fact, and the person running brand, digital and direct-to-fan inside the club was Guillem Graell. As Chief Marketing Officer, he rebuilt the club’s commercial relationship with its supporters around a direct-to-consumer model. He founded Barça Studios and launched BarçaTV+, a venture later valued at more than 250 million euros, alongside subscription, content and product lines that pushed digital revenue past one billion euros. The social audience grew past 400 million followers, and the club became the first in football to cross 10 million YouTube subscribers. His route into that role was unusual for sport. Industrial engineering at the Universitat Politecnica de Catalunya, the General Management Programme at IESE, and brand and commercial roles at Procter and Gamble, Reckitt Benckiser, Chupa Chups, Codorniu and Accenture. The FMCG discipline of building emotional brands at scale travelled with him into one of the most-watched sporting institutions in the world. He now co-runs D2F Partners with Enric Llopart, the club’s former digital director, designing and funding direct-to-fan businesses for other sports and entertainment brands. He teaches brand strategy at UPF Barcelona School of Management and ESADE, which is where the operating playbook from Barça gets pressure-tested against other categories trying to own their audience. Key speaking topics Direct-to-consumer strategy in sport and entertainment Building and monetising LoveBrands Digital business models and content as revenue Brand transformation in legacy organisations Audience, community and fan engagement at scale Innovation in marketing and commercial models Ideal for CMOs, Chief Brand Officers and Chief Digital Officers in consumer-facing categories CEOs and boards of sports, entertainment, media and lifestyle businesses Heads of direct-to-consumer, content and digital product Marketing and growth leadership teams reframing how they own customer relationships Audience outcomes A working view of how a billion-euro digital and direct-to-fan business actually gets built and run Practical reference points for moving from audience metrics to commercial outcomes A clearer line between brand strategy, content investment and direct revenue Useful comparisons between sport, entertainment and other consumer categories trying to own the customer A confident perspective on where digital products, subscriptions and community fit inside a brand P and L

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

Why organisations work with Adolfo Fernandez Operator perspective from inside the two platforms reshaping global retail. He has led commercialisation strategy for Google Shopping’s mid-market segment and now Global Product Strategy and Operations for TikTok’s eCommerce advertising suite. A working framework for cross-border growth, drawn from running Google’s internationalization advisory practice for the mid-market. It addresses the question most growth-stage companies misjudge: when domestic plateau means it is time to enter a new market, and on what terms. Recognised by the World Economic Forum, which invited him into its Expert Network on Retail, Consumer Goods and Lifestyle, and Digital Communications. That credential signals depth that bureau platforms alone cannot. Comfort across three buyer registers: regulators and policy bodies (UN, WTO), executive education audiences (IE Business School, MIT), and corporate boards. Leaders get a speaker who can move between policy frame and operating frame without losing either. Delivery in English, Spanish, Italian and Portuguese, which makes him useful for European and Latin American leadership audiences that other Silicon Valley operators cannot reach without translation. Biography highlights Global Director of Product Strategy and Operations for eCommerce advertising at TikTok, based in San Francisco Former Google leader: Business Development Manager for Spain and Portugal, Global Program Manager for Internationalization advisory, and Google Shopping commercialisation strategy lead for the SMB segment World Economic Forum Expert Network member since 2019 in Retail, Consumer Goods and Lifestyle, and Digital Communications Speaker at more than 200 international conferences, including United Nations and World Trade Organization platforms Guest lecturer at IE Business School and MIT MA in International Management, IE Business School; BA in Business Administration, University of Santiago de Compostela Biography Most companies still treat international expansion as a sequencing problem: which market next, in what order, on what timeline. The harder question is platform-shaped. Discovery, conversion and brand association now run through a small number of global commerce environments, and the rules of entry differ across them. That is the terrain Adolfo Fernandez works in. He is currently Global Director of Product Strategy and Operations for eCommerce advertising at TikTok, where he leads product strategy, product marketing and go-to-market for the platform’s commerce advertising suite. The role sits at the centre of one of the most consequential shifts in consumer attention of the last five years. Before TikTok, he spent close to a decade at Google. He started as Business Development Manager for Spain and Portugal in 2015, then took over Google’s Internationalization advisory services for the mid-market in 2018, before moving to San Francisco to lead Google Shopping commercialisation strategy for the SMB segment. The arc gave him an unusual vantage on how mid-sized firms actually win, and lose, in cross-border digital commerce. His public-facing work has reached the UN and the World Trade Organization, executive audiences at IE Business School and MIT, and the World Economic Forum, which invited him into its Expert Network on retail, consumer goods and digital communications in 2019. He works in English, Spanish, Italian and Portuguese, which extends his reach into European and Latin American audiences that most Silicon Valley operators cannot serve directly. Key speaking topics Digital commerce and platform strategy International growth and market entry Retail technology and consumer behaviour Brand building in digital-first markets Innovation and product strategy Future of work in technology-led organisations Ideal for Boards and executive teams of mid-market and large companies planning international growth CMOs, commercial directors and digital leaders rethinking discovery, paid media and conversion economics Retail, consumer goods and lifestyle leadership teams reassessing platform dependency Executive education and leadership development audiences in Europe and Latin America Audience outcomes A clearer read on how Google and TikTok are changing the economics of consumer attention and commerce A practical lens for deciding when and how to enter new international markets A working distinction between innovation and creativity inside large organisations Specific examples of how digital-native brands have built relevance and speed without losing core values

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