Digital Transformation

Why organisations work with Tyler Cohen Wood She brings the threat picture a board actually needs: thirteen years inside the Department of Defense, including roles as Deputy Cyber Division Chief at the DIA and the Directorate’s named Cyber Subject Matter Expert, translated into language a non-technical executive can act on. She has run cyber risk at commercial scale. As Director of Cyber Risk Management at AT&T she built defences across one of the largest customer bases in the world, so her advice maps onto P&L decisions, not just policy. She is operator, not pundit. As co-founder of Dark Cryptonite (patent-pending zero-trust encryption) and CEO of MyConnectedHealth (AI in clinical diagnostics), she is currently building in the two domains she speaks on. Her work on social engineering and deepfakes draws on a digital forensics career at NASA’s Office of Inspector General and the DoD Cyber Crime Center, where she investigated major crimes and intrusions. That gives the deepfake material specific case grounding rather than headline commentary. She holds multiple US provisional patents for cyber capabilities and is a regular expert voice on Good Morning America, CNN, The Wall Street Journal and Bloomberg, so she lands in front of executive audiences who recognise her from crisis coverage. Biography highlights Former Senior Intelligence Officer and Deputy Cyber Division Chief, Special Communications Division, US Defense Intelligence Agency. Former Director of Cyber Risk Management, AT&T. Co-founder, Dark Cryptonite (patent-pending zero-trust encryption); Founder and CEO, MyConnectedHealth Inc. Author of Catching the Catfishers (Career Press); co-author of Alternate Data Storage Forensics (Syngress). Holder of multiple US provisional patents for cyber capabilities. Regular commentator for Good Morning America, CNN, The Wall Street Journal, Bloomberg, and GovInfoSecurity. Biography The cyber threat picture has changed shape. Adversaries now use generative AI to scale phishing, clone executive voices and produce convincing video. The defensive vocabulary that worked in 2018, perimeter, patch, password, no longer covers the surface area a modern board is responsible for. Tyler Cohen Wood spent thirteen years inside the US Department of Defense working on exactly that surface area. At the Defense Intelligence Agency she served as Senior Intelligence Officer and Deputy Cyber Division Chief in the Special Communications Division, and was designated the Cyber Subject Matter Expert for the DIA Science and Technologies Directorate. Her remit covered the White House, the DoD, federal law enforcement and the wider intelligence community. Before that, as a digital forensic examiner at NASA’s Office of Inspector General and the DoD Cyber Crime Center, she worked intrusion and major-crimes cases at evidentiary level. She then took that fluency into the commercial world as Director of Cyber Risk Management at AT&T, where the question shifts from intelligence reporting to defending revenue, customers and brand at scale. She now co-leads Dark Cryptonite, a venture building patent-pending zero-trust encryption for governments and enterprises, and is founder and CEO of MyConnectedHealth, an AI platform for clinical diagnosis. She holds multiple US provisional patents in cyber. What that combination gives an executive audience is a speaker who is currently building the technology she discusses, has carried the threat picture at state level, and has owned commercial cyber accountability inside a Fortune 10 business. Her writing reflects the same range: Catching the Catfishers on social engineering and online identity, and the co-authored Alternate Data Storage Forensics textbook used inside the forensics community. Key speaking topics Cybersecurity as a board-level risk AI and deepfake-driven social engineering Emerging technology strategy for executives Digital transformation and cyber risk management The innovation mindset for technical and non-technical leaders AI in healthcare and connected health Women in technology and senior leadership Ideal for Boards and executive committees treating cyber as a strategic, not IT, agenda item CISOs, CIOs and CTOs briefing non-technical leadership on AI-era threat posture Risk, audit and compliance leaders preparing for AI-driven fraud and identity attacks Industry conferences in financial services, healthcare, defence and critical infrastructure Audience outcomes A clearer board-level model for where cyber risk now sits in the operating model Specific examples of how AI is changing social engineering, deepfakes and intrusion tactics A grounded view of what zero-trust and encryption actually mean for procurement and architecture decisions A working understanding of how AI is being deployed in regulated environments such as healthcare Confidence to ask sharper questions of internal security leaders and external vendors

Why organisations work with Dr Ted James His concurrent roles – co-directing a Harvard Medical School executive programme and leading enterprise transformation across an 8-hospital health system – mean the frameworks he delivers are being tested in live operational conditions, not drawn from retrospective case studies. He holds a Master of Science in Healthcare Management from Harvard T.H. Chan School of Public Health alongside a surgical oncology career, which means he translates between clinical and executive registers without simplifying either. His advisory work with biotech and medical device companies, including a fractional CMO role at Perimeter Medical Imaging AI guiding FDA strategy for AI-enabled surgical technology, gives him a vendor-facing perspective that most health system speakers cannot offer. He built an NIH-funded research portfolio while simultaneously holding senior clinical governance roles at a Harvard-affiliated academic medical centre. His Harvard Global Health Care Leaders Program draws participants from more than 200 countries, which means his analysis of healthcare leadership is genuinely comparative rather than US-centric. Biography highlights System Physician Executive, Endeavor Health Cancer Institute, leading clinical strategy and care transformation across an 8-hospital integrated health system Co-Director, Global Health Care Leaders Program, Harvard Medical School Executive Education which draws participants from more than 200 countries Faculty, Harvard Medical School; former Associate Professor of Surgery Former Chief of Breast Surgical Oncology, Vice Chair of Academic Affairs in Surgery, and Medical Director of the Breast Center, Beth Israel Deaconess Medical Center Fractional Chief Medical Officer, Perimeter Medical Imaging AI, guiding medical and regulatory strategy for AI-enabled breast cancer surgery technology Master of Science in Healthcare Management, Harvard T.H. Chan School of Public Health Co-author, The OAS CAHPS Compendium: A Guidebook for Improving Patient Experience and Outcomes Across the Ambulatory Surgery Continuum Biography Ted James spent the first part of his executive career doing something most physician leaders are never asked to do at the same time: running a nationally accredited multidisciplinary breast programme, leading academic affairs for a surgery department, and building an NIH-funded research portfolio – all within a Harvard-affiliated academic health system. That compression of roles at Beth Israel Deaconess Medical Center is the biographical fact most relevant to why health organisations bring him in. He has worked the intersection of clinical governance, academic leadership, and service-line management from the inside. He is now System Physician Executive for the Endeavor Health Cancer Institute, responsible for clinical strategy and enterprise-wide care transformation across eight hospitals. Alongside that operational role, he co-directs the Global Health Care Leaders Program at Harvard Medical School: a flagship executive education programme with a global participant base spanning more than 200 countries. His Harvard-based work focuses on the mechanics of how healthcare leaders design care models, adopt digital health technology, and lead transformation in systems that resist it. His commercial advisory work adds a third register. As fractional Chief Medical Officer at Perimeter Medical Imaging AI, he is helping advance AI-enabled surgical imaging technology toward FDA approval; work that gives him first-hand knowledge of how healthcare technology moves from clinical concept to operational deployment. It is a vantage point most hospital executives simply do not have. His co-authored book, The OAS CAHPS Compendium, anchors the academic dimension of his work in something measurable: patient experience and outcomes in ambulatory surgery. The through-line across all three roles is the same question: how do you build organisations in which clinical excellence and operational performance reinforce each other rather than compete? Key speaking topics Healthcare transformation and system leadership Physician and clinical leadership development Organisational culture in complex health systems Digital health strategy and technology adoption Cancer care innovation and oncology strategy Patient experience and quality improvement Clinician resilience and workforce performance Ideal for Hospital and health system CEOs, CMOs, and boards navigating transformation programmes Physician and clinical leaders developing executive capability Biotech, medical device, and digital health organisations seeking clinical strategic credibility Academic medical centre leadership teams managing the tension between research, education, and care delivery Audience outcomes A diagnostic framework for identifying where clinical culture is enabling or blocking organisational change Practical tools for developing physician leaders within complex, resource-constrained systems Clarity on evaluating and deploying digital health and AI-enabled technology against real clinical workflows An understanding of how academic, operational, and innovation goals can be aligned within a single leadership approach Approaches for addressing clinician burnout while maintaining performance standards

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

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

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

Why organisations work with 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