Future of Technology speakers

Why organisations work with Toju Duke Ten years inside Google, including three running Responsible AI programmes across product and research teams on large-scale models. The framework she teaches is the one she ran. A published, structured Responsible AI framework covering fairness, transparency, safety, privacy and robustness across the full ML lifecycle, available to leadership teams as a shared reference point. Operator credibility on the question boards actually ask: how do we deploy AI at pace without inviting regulatory, reputational or human-rights exposure. Independent of any platform or model vendor. With no product to sell, her advice on governance and deployment answers only to the organisation buying it. Biography highlights Author of Building Responsible AI Algorithms (Apress, 2023), a structured framework for fairness, transparency, safety, privacy and robustness across the machine learning lifecycle. Co-author with Prof Paolo Giudici of Responsible AI in Practice (Apress/Springer Nature). Ten years at Google. Final three years as Responsible AI Programme Manager working across product and research teams on large-scale models. Founder and CEO of Diverse AI, a community interest organisation running education and research programmes for groups underrepresented in AI, including a project to build a dataset documenting the cultures of communities without internet access. Media contributor including BBC One Sunday Morning Live, Sky News, Al Jazeera, CGTN America, El Pais, La Vanguardia and Sifted. Biography Most organisations now have an AI policy. Very few have the operating mechanisms to make it real. Toju Duke spent the final three years of a ten-year career at Google building exactly those mechanisms, as a Responsible AI Programme Manager working across product and research teams on large-scale models. That work became Building Responsible AI Algorithms, published by Apress in 2023. The book takes Responsible AI out of principles documents and into the machine learning lifecycle: how to define a problem, audit data, evaluate fairness, document a model, and decide whether to ship. A second volume, Responsible AI in Practice, co-authored with Prof Paolo Giudici, extends the framework into regulation, risk taxonomies and assessment. She advises boards and executive teams on governance, AI readiness, and deployment, and sits on the programme committee for the AAAI/ACM Conference on AI, Ethics and Society. Through Diverse AI, the community interest organisation she founded, she runs education and research programmes for groups underrepresented in the field, including a project to build a dataset documenting the cultures of communities the internet has left out. Governance and inclusion are the same question seen from two sides of the model. She speaks and writes for serious outlets, including BBC One Sunday Morning Live, Sky News, Al Jazeera, CGTN America, El Pais, La Vanguardia and Sifted. For a board weighing how to govern an AI programme it does not fully understand, she brings the rare combination of operator experience inside a frontier-model team and a published framework to organise the conversation around. Key speaking topics Responsible AI frameworks and governance AI ethics and accountability Generative AI risk and oversight AI regulation and policy Fairness, bias and inclusion in AI systems Diversity in AI talent and design Implementing AI principles across the machine learning lifecycle Ideal for Boards and executive committees commissioning or governing AI programmes Chief AI officers, CTOs, CIOs and chief data officers building Responsible AI operating models Risk, audit, legal and compliance leaders translating AI regulation into controls DEI and people leaders working on inclusion in technical organisations Audience outcomes A working vocabulary for Responsible AI grounded in a published framework rather than vendor marketing. A view of where AI risk actually sits in the machine learning lifecycle, from problem definition through deployment. A reference model for translating AI principles into review processes, documentation and accountability structures. A sharper read on how regulation, fairness and human-rights considerations intersect for organisations deploying large-scale models.

Why organisations work with Tom Cheesewright The Intersections methodology maps incoming macro trends against the specific stress points inside an organisation or sector; producing prioritised decision-points with the analysis behind them, not a generic forecast that leadership teams have to interpret themselves. The framework is teachable and licensable. Organisations leave with a repeatable process they can run internally, not a dependency on a single advisor. His published credentials – Future-Proof Your Business (Penguin; FT business book of the month) and High Frequency Change (Business Book Awards shortlist, 2020) – mean audiences arrive already oriented to his thinking. He does not need to spend the first third of a session building the intellectual case. A decade-plus of broadcast experience across BBC, Channel 4, and national press makes him unusually effective at translating complex AI and technology change for non-technical board audiences without losing analytical precision. Named clients across sectors – Google, Barclays, NASA, HMRC, BMW, Virgin Media, Visa – give procurement teams confidence in sector-agnostic credibility. This is not a speaker whose framework only works in one industry. Biography highlights Creator of the Intersections foresight methodology, now licensed and delivered to third-party organisations Author of High Frequency Change (LID Publishing, 2019) shortlisted, Business Book Awards 2020, ‘Leadership for the Future’ category Author of Future-Proof Your Business (Penguin Business Experts, 2020), Financial Times business book of the month Clients include Google, Barclays, NASA, HMRC, BMW, Visa, HSBC, Accenture, and Virgin Media and more than 30 Global 500 companies Regular contributor and broadcaster: BBC Breakfast, BBC Radio 4, Channel 4 Sunday Brunch, The Guardian, The Times, Evening Standard, The Daily Telegraph BEng in Mechatronics, Lancaster University; established as a full-time applied futurist in 2012 Biography Most organisations know they need to anticipate change. Very few have a structured way to do it. The annual strategic planning cycle and the technology roadmap were not designed to connect incoming macro trends to the specific decisions a leadership team faces this quarter. Tom Cheesewright built the Intersections methodology to close that gap. It maps macro trends, from AI capability shifts to demographic and regulatory change, against the existing pressures inside an organisation or sector, identifying the points where disruption will hit hardest and where meaningful opportunity sits. More than 30 Global 500 companies and government bodies, including NASA, HMRC, Google, and Barclays, have put the framework to work. His two business books establish the intellectual foundation. High Frequency Change (LID Publishing, 2019; shortlisted for the Business Book Awards 2020) sets out why organisations feel overwhelmed by the pace of change and what structural responses actually work. Future-Proof Your Business (Penguin Business Experts, 2020; Financial Times business book of the month) translates the methodology into practical tools for strategy teams. His sustained media presence – BBC Breakfast, Radio 4, Channel 4, The Guardian, The Times – means he is not an unknown quantity when he walks on stage. A mechatronics engineer by training, Cheesewright spent years in technology marketing and digital business before establishing himself as a futurist in 2012. That background – engineering logic, commercial experience, years of public communication about technology – is what keeps the Intersections work grounded. The output is not prediction. It is a structured process for stress-testing an organisation’s assumptions against what is actually coming. Key speaking topics AI and automation in strategic decision-making Scenario planning and applied foresight methodology Organisational agility and adaptive strategy Technology-driven disruption and competitive positioning The future of consumer behaviour and business models Change management in high-frequency environments Long-range strategic planning under uncertainty Ideal for Executive leadership teams and boards preparing long-range or scenario-based strategy Chief Strategy Officers and Chief Technology Officers navigating AI investment decisions Industry associations and sector bodies facing structural disruption from technology or regulation Conference audiences drawn from finance, technology, retail, government, or professional services sectors Audience outcomes A working understanding of the Intersections methodology and how to apply it to their own organisation’s planning process Clarity on which AI and technology developments are commercially significant in their sector, and which can be deprioritised A revised set of strategic questions, not just better answers to the existing ones Stronger language and frameworks for briefing boards and senior stakeholders on emerging technology risk and opportunity A clearer view of where their organisation is most exposed to macro-level disruption over the next three to five years

Why organisations work with Tom Gruber He shipped the first mainstream intelligent assistant. When he speaks about what AI deployment actually requires inside a product organisation, it is from the inside of a system Apple now runs across its entire device base. He authored the foundational definition of an ontology in computer science. Boards wrestling with AI governance, knowledge representation and explainability are talking to the person whose 1993 paper their technical teams still cite. His Humanistic AI framework gives leadership a usable language for AI design choices. It moves the conversation from “should we use AI” to “what does this system do for the human using it”, which is the question regulators and employees are now asking. He chooses his advisory portfolio around AI applied to assistive neurotech, mental health and clinical accuracy. The examples he brings to a keynote are concrete deployments, not hypotheticals. He is one of very few speakers who can credibly walk a room from ontology engineering to product design to ethics in a single talk, without losing either the technical audience or the executive one. Biography highlights Co-founder, CTO and head of design of Siri Inc., acquired by Apple in 2010. Led Siri’s Advanced Development Group at Apple for eight years following the acquisition. Author of the foundational 1993 paper defining ontology in AI, the highest-cited article in the history of the International Journal of Human-Computer Studies. Main-stage TED 2017 speaker on Humanistic AI. Co-founder and CTO of LifeScore, an adaptive AI music company backed by Octopus Ventures. Advisor to the Ocean Plastics Leadership Network on organisational intelligence and technology. Biography Siri began as a research project, became a startup, and was acquired by Apple in 2010, the same year it launched. Tom Gruber was its co-founder, CTO and head of design. The product now runs across Apple’s device base and processes more than a billion interactions a day. Most of what users now expect from a voice assistant was decided inside the small team he helped lead. Before Siri, the foundation. In 1993, working at Stanford’s Knowledge Systems Laboratory, Gruber published the paper that gave AI its working definition of an ontology: “an explicit specification of a conceptualization”. It became the highest-cited article in the history of the journal it appeared in, and it remains the reference point for anyone building systems where machines have to share knowledge cleanly. The shipping product and the citation history are connected. Siri worked because the underlying representation was right. After eight years leading Apple’s Advanced Development Group for Siri, Gruber stepped out to focus on what he calls Humanistic AI. The argument, set out in his 2017 TED talk, is that AI design is a choice between automation that competes with people and augmentation that collaborates with them. He puts the framework to work as co-founder and CTO of LifeScore, an adaptive music company, and as advisor to AI ventures in assistive neurotechnology, mental health, and clinical decision support. The Humanistic AI lens is what leadership teams find most useful from him. It reframes AI deployment as a design decision with named consequences for customers, employees and society, rather than a procurement decision about which model to license. For boards approving AI strategy and CEOs explaining it, that reframing is doing work no other AI keynote does. Key speaking topics Humanistic AI and human-centred design AI governance, ethics and trust Intelligent assistants and conversational AI Ontology engineering and knowledge representation AI in assistive technology and healthcare AI for collective intelligence and ocean conservation Building AI products from research to scale Ideal for Boards and CEOs setting AI policy and accountability Chief Technology Officers and Chief AI Officers shaping enterprise AI deployment Heads of product and design building AI into customer-facing systems Healthcare, financial services and public-sector leaders deploying AI in high-stakes contexts Audience outcomes A working definition of Humanistic AI that distinguishes augmentation from automation in their own operating context A clearer framework for evaluating AI design choices against customer, employee and societal impact Concrete reference points from Siri and from current AI deployments in healthcare, assistive tech and creative industries A language for leadership conversations about AI ethics that goes beyond compliance and into product design Recognition of where their own AI roadmap is making automation choices it should be making augmentation choices

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 Ugwem Eneyo She has operated, not observed. She built and sold SHYFT Power Solutions, a venture-backed company commercialising IoT-based metering and distributed energy software in Nigeria and East Africa, and now leads product and innovation at the acquirer, Steama Co. She holds patents underpinning advanced metering infrastructure for unreliable-grid environments, the technical layer most climate keynote speakers describe abstractly. She won the MIT Clean Energy Prize and is on Forbes 30 Under 30 in Energy, credentials that signal technical depth rather than commentary. She is one of a small group of Black female founders to raise over 1m USD of venture capital in climate hardware and software, giving her authority on capital formation, founder discipline and operating in markets that institutional capital under-serves. Her perspective on energy transition is grounded in the Niger Delta and Sub-Saharan Africa, the geographies where global emissions and energy demand growth are concentrated and where most Western climate frameworks degrade fastest. Biography highlights Co-founder and former CEO of SHYFT Power Solutions, acquired by Steama Co, where she serves on the Board of Directors and leads Product and Innovation. MIT Clean Energy Prize winner, 2017, for the Shyft smart meter and transfer switch product. Forbes 30 Under 30 in Energy; Women of Renewable Industries and Sustainable Energy honouree. Patent holder in advanced metering infrastructure for distributed energy resources. MS/PhD candidate in Civil and Environmental Engineering at Stanford University; BSc in Civil and Environmental Engineering from the University of Illinois at Urbana-Champaign. Speaker at the World Bank State of the African Union Forum, the Global Climate Action Summit, and Ceres. Biography A diesel generator runs in a Lagos backyard most nights. The household paying for it is not waiting for a national grid upgrade or a multilateral climate plan. They are choosing between fuel and electricity bills in real time. That is the market Ugwem Eneyo built a company to serve, and it is the market most net zero strategies still skip over. Eneyo co-founded SHYFT Power Solutions while an MS/PhD student in Civil and Environmental Engineering at Stanford, after earlier work as an environmental and regulatory risk advisor on infrastructure projects across South Asia, Africa and the Americas, and as an engineer at ExxonMobil. The company commercialised IoT-based metering, transfer-switch hardware and distributed energy software for Nigerian and East African customers operating between grid, solar and generator power. It won the MIT Clean Energy Prize in 2017, secured patents in advanced metering infrastructure, and was acquired by Steama Co, where she now leads product and innovation from the board. Her recognition list, Forbes 30 Under 30 in Energy, Women of Renewable Industries and Sustainable Energy, status as one of the early Black female founders to raise over 1m USD in venture capital, signals the rarer underlying point. The vast majority of energy transition speakers describe capital flows, policy and technology from outside the system. Eneyo built the hardware, raised the capital, hired the engineers and managed the regulatory and political risk inside one of the markets that will define whether the transition succeeds at global scale. For boards investing in climate, energy, emerging markets infrastructure or distributed technology, that operator-grade view is the contribution. The capital question is no longer whether the energy transition is real. It is whether it can be financed, engineered and governed in the places where demand is rising fastest, and Eneyo has done the work in one of those places. Key speaking topics Energy transition in emerging markets Distributed energy, microgrids and advanced metering Climate technology and venture-backed hardware Africa’s tech and startup ecosystem Sustainable infrastructure for fast-growing cities Capital formation for under-represented founders IoT and software for energy systems Ideal for Boards and investment committees of energy, utilities, infrastructure and climate funds with emerging-markets exposure CSOs, sustainability leads and ESG officers building credible transition strategies outside mature markets Heads of innovation and corporate venture teams in energy, industrial and technology businesses Convenings on climate finance, African business, and women and underrepresented founders in deep tech Audience outcomes A sharper view of where energy transition strategies break when they leave OECD markets, and what to design instead. A grounded picture of how distributed energy, IoT and metering actually work as a business in unreliable-grid environments. A working understanding of the capital, regulatory and operational realities facing climate hardware founders in Africa. A more honest read on the gap between net zero narrative and the engineering and finance required to deliver it where demand is growing fastest.

Why organisations work with Ulrich Walter He brings the credibility of a flown astronaut and a sitting university chair to AI and robotics conversations that usually rely on consultants or vendor analysts. He works on AI from both ends a board cares about: national policy, through the Bavarian Ethics Council, and live corporate implementation, as a supervisory board member responsible for AI and transformation at the Die Bayerische insurance group. Disruptive-innovation content drawn from NASA mission cases and his own IBM project-management work, not from secondhand business literature. A working researcher in geriatronics and service robotics, which gives him a concrete view of what AI-assisted hardware can and cannot do today, beyond the generative-AI conversation. Comfortable in technical depth and broad audience formats. Eleven books, a weekly TV programme on Welt TV, and a Spiegel bestseller indicate a speaker who can carry a non-specialist room without softening the science. Biography highlights Payload Specialist, NASA Space Shuttle Columbia, Spacelab D-2 mission (STS-55), 1993. Chair of the Institute of Astronautics, Technical University of Munich, 2003 to 2023, now emeritus. Member, Bavarian Ethics Council on robotics and artificial intelligence. Member of three supervisory boards within the Die Bayerische insurance group, responsible for the group’s AI implementation and transformation programme. Senior Executive Advisor, Deloitte Space, Germany. German Professor of the Year 2008 in engineering sciences and informatics. Author of eleven books including the Spiegel bestseller Im Schwarzen Loch ist der Teufel los, and host of the weekly Welt TV documentary Spacetimes. Biography Most leadership teams are asked to make decisions about AI and robotics without a working understanding of how the underlying systems behave. That gap is where Ulrich Walter does his most useful work. Trained as a physicist at the University of Cologne, with postdoctoral years at Argonne National Laboratory and UC Berkeley, he combines an active scientific career with a policy seat that few keynote speakers can match. In 1993 he flew Spacelab D-2 aboard Space Shuttle Columbia as Payload Specialist, running 89 experiments across materials science, life sciences and robotics in just under ten days in orbit. After the mission he managed satellite imaging programmes at the German Aerospace Center, then ran development projects at IBM, before being appointed to the Chair of Astronautics at TU Munich in 2003. At TUM he led research on service robotics, geriatronics, and the systems engineering behind human spaceflight. He also sits on the Bavarian Ethics Council on robotics and AI, advising on where the operational and moral limits of these technologies should fall. The work is technical, and it is current. For corporate audiences, the most useful translation is the one between high-risk technical environments and ordinary business decision-making. How does NASA assess disruptive change? How does a project manager at IBM apply mission-grade discipline? What does a working scientist on Germany’s AI ethics body actually think a board should worry about? Walter is unusually direct on all three. Key speaking topics Artificial intelligence and ethics Disruptive innovation Space technology and the NewSpace economy Robotics and geriatronics Systems engineering and project management The future of human spaceflight Science communication for non-specialist audiences Ideal for Boards and executive teams setting governance on AI and emerging technology Engineering, R&D and innovation leadership at industrial and aerospace firms Senior project and programme managers in complex, high-risk environments Conferences and offsites looking for a substantive technology keynote that can also carry a non-technical room Audience outcomes A working view of where AI and robotics genuinely change the operating picture, and where the hype runs ahead of the science. A practical translation of NASA-style risk management and project discipline into commercial settings. A clearer sense of how European regulators and ethicists are framing the limits of AI deployment. Exposure to the NewSpace economy and what it signals about the next generation of commercial technology. A reset of perspective on long-horizon strategic thinking from someone who has spent ten days looking at the planet from orbit.

Why organisations work with Uri Levine Two billion-dollar exits in the same category give him a working method, not a single-case story. Waze and Moovit were sold to Google and Intel using the same problem-first discipline he now teaches. His handbook Fall in Love with the Problem, Not the Solution sets out a usable operating system for early-stage product, fundraising and hiring decisions. Steve Wozniak called it a bible for entrepreneurs. An active portfolio of 20-plus board seats and 50-plus advisory roles keeps his perspective current. He is reading live cap tables and product roadmaps, not recycling a 2013 exit. Levine teaches inside corporates as well as startups. The framing translates for innovation leaders trying to make corporate venturing and intrapreneurship behave more like founder-led businesses. Biography highlights Co-founder of Waze, acquired by Google in 2013 for approximately $1.1 billion. Early investor and board member at Moovit, acquired by Intel in 2020 for approximately $1 billion. Author of Fall in Love with the Problem, Not the Solution: A Handbook for Entrepreneurs (BenBella, 2023). Adjunct Professor of Entrepreneurship and Professor of Practice at IE University. Founder, chairman or board member at Pontera, FairFly, Refundit, SeeTree, Fibo and others; former Chairman of Zoomcar; independent board member at Infosys. Forbes contributor; interviewed in The New York Times, CNBC, Bloomberg and Fox News. Biography Waze and Moovit were built on the same wager. Drivers and commuters were the source of the data, the product, and the network effect, and the problem worth solving was the daily friction of getting somewhere. Google paid roughly $1.1 billion for the first company in 2013. Intel paid roughly another billion for the second in 2020. The method behind both exits is what Uri Levine now teaches. Fall in Love with the Problem, Not the Solution, published by BenBella in 2023, is the operating handbook he wrote for founders and the executives funding them. Steve Wozniak called it a bible for entrepreneurs. It covers product-market fit, fundraising, hiring, scaling internationally and exit decisions, treated as a sequence of choices a founder can get right or wrong. The portfolio behind the writing keeps the material current. Levine has founded nine companies, sat on roughly twenty boards including Infosys and HERE, and advised more than fifty startups. He chaired Zoomcar through its public listing in 2023 and returned as strategic and financial advisor in 2024. He teaches the same approach as Adjunct Professor of Entrepreneurship at IE University and runs a workshop on building unicorns. For corporate audiences the value is structural. Innovation pipelines stall when teams pick solutions before they have stress-tested the problem. Levine’s argument, and the discipline behind it, gives senior leaders a way to challenge that habit inside their own organisations, whether they are running a venture arm, a transformation programme or a category business losing ground to insurgents. Key speaking topics Disruptive innovation and category creation Problem discovery and product-market fit Entrepreneurship and scaling to unicorn status Fundraising and investor strategy Corporate innovation and intrapreneurship Mobility and the future of transportation Founder leadership through hypergrowth Ideal for Founders and CEOs of growth-stage and scale-up businesses Corporate innovation, venture and transformation leaders Investors, LPs and board directors evaluating early-stage portfolios Senior leadership teams in incumbent categories under disruption pressure Audience outcomes A working test for whether a problem is large enough and clear enough to build a company around. Specific lessons from inside two unicorn exits on hiring, fundraising, international expansion and timing the sale. The mistakes Levine has watched founders and corporate innovators repeat across fifty advisory engagements, and how to spot them earlier. A sharper frame for board-level conversations about which bets to back, which to kill, and when to pivot.

Why organisations work with Vito Di Bari He has run the discipline at scale. As Innovation Designer for Milan’s Expo 2015 candidacy he turned futures thinking into a 25-project urban programme, the kind of translation work most futurist speakers never attempt. He carries genuine institutional weight: former Executive Director of UNESCO’s International Multimedia Institute, contract professor at Politecnico di Milano and Bocconi, founder of the Next Media Lab. He authored “The Neofuturistic City Manifesto” and is the named thought leader of the Neo-Futurism art and architecture movement, giving leadership teams a vocabulary for what comes after the current digital cycle. He is one of a small number of European voices the Financial Times has labelled a “guru of innovation,” which travels well in front of European boards and ministries. He works in English, Italian and across global stages, with TEDx and corporate keynotes spanning five continents, useful for groups planning multi-region leadership offsites. Biography highlights Innovation Designer for Milan’s Expo 2015 candidacy Former Executive Director, UNESCO International Multimedia Institute (IMI), Paris Former contract professor of Design and Management of Innovation, Politecnico di Milano; and of Cross Media Communication, Bocconi University Founder and Scientific Director, Next Media Lab; founder of Di Bari & Associates innovation design studio Author of more than ten books on innovation, including “The Neofuturistic City Manifesto” Described by the Financial Times as “the new European guru of innovation” Biography The hardest job inside a board agenda on AI is not deciding which tools to buy. It is deciding which technological trajectory the organisation is betting on. That is the territory Di Bari has worked in for two decades, first inside UNESCO’s IMI in Paris, then as Innovation Designer for Milan’s Expo 2015 candidacy, where his job was to translate a futures vision into a 25-project urban programme. His academic base is Italian and serious. He held contract chairs at Politecnico di Milano in design and management of innovation, and at Bocconi in cross-media communication. Around that he built Next Media Lab as an international research laboratory and Di Bari & Associates as a design studio, so the ideas he speaks about have been carried into installations, products and city projects, not only into print. The intellectual signature is Neo-Futurism. His 2007 “Neofuturistic City Manifesto” set out a vision of arts, architecture and urbanism after the digital turn, and he is widely credited as the thought leader of the movement. The Financial Times called him “the new European guru of innovation,” and bureau profiles routinely place him in the company of John Naisbitt and Alvin Toffler. For an executive audience, the value is concrete. He has authored more than ten books on innovation, contributed to outlets including Wired, and now anchors his keynote work in AI transformation, with talks such as “Welcome to the AI Transformation” and “A Day in the Future.” A board leaves the room with a structured view of how AI, IoT and emerging technologies will reshape its sector, and a sharper sense of which bets to place now. Key speaking topics Artificial intelligence and generative AI in business Innovation strategy and design Internet of Things and emerging technologies Future of work and organisational AI adoption Neo-Futurism, urbanism and the design of the future Long-range scenario thinking for leadership teams Ideal for Boards and executive committees stress-testing their AI and digital strategy CEOs, CIOs and chief innovation officers planning multi-year technology roadmaps Industry events in retail, manufacturing, financial services and the public sector commissioning a serious futures keynote Leadership offsites in Europe and globally that need a credible practitioner voice on innovation, not abstract trend commentary Audience outcomes A structured forward view of how AI, IoT and emerging technologies will reshape the audience’s sector A clearer language for talking about innovation as a design discipline, not a marketing label Specific examples of how futures thinking has been translated into urban-scale projects, including Expo 2015 Milan Concrete prompts for which AI and digital bets to prioritise inside the next planning cycle

Why organisations work with Ymir Vigfusson He is a tenured computer scientist at Emory and a practising offensive-security entrepreneur, with three founded companies and two acquisitions. Boards rarely get both registers from the same speaker. His TEDxReykjavik talk on teaching people how to hack has passed 1.8 million views, which means executives often arrive already primed by his argument and ready to engage at depth. Keystrike, his third company, was built specifically for the problem of secure remote access when the user’s machine is already compromised. He has commercial scar tissue on the exact threat model most enterprises now face. He holds an NSF CAREER award for fundamental work on caching and distributed systems, so the technical authority extends well beyond cybersecurity into the infrastructure layer that AI workloads depend on. His guest-researcher role at the CDC, applied to disease-outbreak surveillance, gives him a working analogy for how organisations should model contagion and propagation inside their own networks. Biography highlights PhD in Computer Science, Cornell University; BSc in Mathematics, University of Iceland. Associate Professor at Emory University and director of the SimBioSys lab. NSF CAREER award recipient for the “Rethinking the Cache Abstraction” project. Co-founder of Syndis (acquired by Origo, 2021), Adversary (acquired by Secure Code Warrior, 2020) and Keystrike (current CTO). TEDxReykjavik talk “Why I teach people how to hack” with more than 1.8 million views. Guest researcher at the Centers for Disease Control and Prevention, applying network science to outbreak surveillance. Biography The cybersecurity industry has a translation problem. Attackers reason in workflows; defenders reason in compliance frameworks. Most senior leaders only hear the second language, which is why most security investment is shaped by audit logic rather than by how an adversary actually moves through a system. Ymir Vigfusson works in both languages. He is Associate Professor of Computer Science at Emory University and director of the SimBioSys lab, where his NSF CAREER-funded research on caching and distributed systems has produced papers at USENIX ATC, VLDB and EuroSys. The same researcher co-founded Syndis, the de facto cybersecurity firm in Iceland (acquired by Origo in 2021), the hacker-training platform Adversary (acquired by Secure Code Warrior in 2020), and Keystrike, where he is now CTO and which won Emory’s Innovation of the Year for a product that secures remote access even when the endpoint is compromised. That dual track shapes how he speaks to leadership audiences. His TEDxReykjavik talk, “Why I teach people how to hack,” has been viewed more than 1.8 million times and lays out the argument that an organisation cannot defend itself against an attacker mindset it refuses to study. He brings the same logic into board conversations: walk through how an adversary would actually compromise this organisation, then decide what to fund. A guest-researcher post at the CDC, where he applies network-science methods to outbreak surveillance, gives him a working model for how threats propagate inside any complex network. The practical result for leadership audiences is a clearer picture of where their actual attack surface sits and which defensive habits change the outcome. Key speaking topics Cybersecurity as a board-level risk The hacker mindset as a defensive capability Secure remote access and the compromised endpoint Distributed systems and the infrastructure layer beneath AI Network science applied to threat propagation Cybersecurity education and the future security workforce Ideal for Boards, audit committees and CISOs commissioning a sharper view of attacker behaviour Chief technology and chief information officers planning resilience investment Banking, healthcare and critical-infrastructure leadership teams with high-value endpoints Innovation and R&D leaders integrating security into AI and cloud roadmaps Audience outcomes A working model for how adversaries actually move through an enterprise network A sharper line between security spend that changes attacker behaviour and spend that satisfies audit A vocabulary for discussing cyber risk with non-technical board members A view of where computational epidemiology and network science inform threat modelling

Why organisations work with Yonah Welker Direct line into the European policy machinery shaping AI rules, through working group contributions to the EU AI Code of Practice, DG CNECT’s digital and critical infrastructure work, and EU ICT and standardisation programmes. Published, citable expertise on how AI systems treat disability, neurodiversity, and other designated groups, with frameworks and a MOOC catalogued by OECD.AI, a specialism few governance advisers can match. Cross-institutional fluency across OECD, UN, UNESCO, and WHO governance processes, useful for organisations whose AI strategy now has to answer to several overlapping frameworks at once. Practical command of how governance applies to AI in physical and public deployment, including robotics and assistive systems, where compliance obligations under the EU AI Act and emerging harmonised standards are least settled. A practitioner-policy bridge rather than a pure academic, with hands-on evaluator and rapporteur roles across EU Horizon and EIT/EIC programmes, which is the lane most boards and compliance leads now need filled. Biography highlights AI expert listed in the OECD.AI community directory; visiting lecturer and evaluator affiliated with MIT collaborative work, and contributor to OECD.AI’s Wonk blog. Contributor to the EU AI Code of Practice (working Groups 2 and 3), DG CNECT digital and critical infrastructure programmes, and EU ICT standardisation work. Contributor of input to OECD (G7 Hiroshima AI Process), UN (ITU and IGF), UNESCO, NIST (Risk Management Framework), and White House PCAST processes. Lead author and coordinator on the forthcoming UNESCO/UN AI Science Report, and co-author of the MIT AI Safety Repository. Evaluator, rapporteur, and quality controller across EU Horizon, StandICT, and EIT Health, Deeptech, and Creativity programmes; member of the EDPB expert pool on embodied AI privacy. Former curator of the Global AI Summit and adviser to a national data and AI authority in the EMEA region; speaker at the AI Action Summit (Paris/Sorbonne), Sciences Po, Technical University of Munich, AI Safety Korea, and the Delphi Economic Forum; jury and peer reviewer for the MIT Global Competition, NeurIPS, and IEEE journals. Biography The EU AI Act, the OECD framework, UNESCO’s ethics recommendation, and the G7 Hiroshima Process now govern the same operating decisions, and they do not line up neatly. The people who work inside several of these processes at once, rather than reading them from outside, are few. Welker is one of them. He has contributed to the EU AI Code of Practice working groups and to DG CNECT’s critical infrastructure work. He sits on the EDPB expert pool examining embodied AI privacy, and is lead author and coordinator on the forthcoming UNESCO/UN AI Science Report. His input has also fed NIST and White House PCAST processes, and he has advised a national data and AI authority in the EMEA region alongside his EU Commission work. His distinctive angle is a lens few governance specialists share. His work centres on how AI systems treat designated groups: people with disabilities, neurodivergent users, and others where an algorithm can quietly grant or deny access. That question is now moving into robotics, assistive systems, and AI that acts in public space, where the frameworks are thinnest. The disability-centred AI MOOC catalogued in the OECD.AI tools repository is one concrete marker of it. For senior leaders, the value is operational. He can set out what an EU AI Act audit will actually examine, and what a defensible accessibility claim looks like in a deployed system. He can also show how the OECD, UN, and EU layers connect to a decision a general counsel or risk committee faces next quarter. Key speaking topics AI governance and the EU AI Act Algorithmic accountability and AI audit Disability-centred and accessibility AI policy Neurodiversity and inclusive AI design Sovereign AI and critical digital infrastructure AI safety and responsible deployment Public sector AI and citizen-facing systems Ideal for General counsel, chief compliance officers and CTOs preparing for EU AI Act enforcement Heads of AI, responsible AI leads and digital ethics committees Public sector and intergovernmental bodies designing AI policy Boards reviewing AI risk exposure across accessibility, bias and public-trust dimensions Audience outcomes A clearer map of how the EU AI Act, OECD framework and UN/UNESCO instruments interlock for their organisation Specific questions to put to vendors, internal teams and audit committees on algorithmic accountability A working definition of what disability-centred and accessibility AI obligations look like operationally Sharper instinct for where reputational and regulatory risk concentrates in current AI deployments A view of where European AI policy is heading next, drawn from inside the working groups shaping it

Why organisations work with Yuval Noah Harari The NEXUS framework – which distinguishes self-correcting from self-reinforcing information networks – gives boards and governance teams a precise conceptual tool for evaluating AI strategy and regulatory exposure, grounded in historical evidence rather than prediction. Sapiens introduced the argument that large-scale human cooperation is built on shared fictions. For leadership teams, this reframes how institutions, legal systems, and monetary frameworks actually hold power – and what causes them to fail. Direct conversations with heads of state including Macron, Merkel, and Rutte put his arguments at the level of active geopolitical decision-making, not commentary. Audiences engage with someone whose thinking is tested at the highest levels of governance. His Distinguished Research Fellowship at Cambridge’s Centre for the Study of Existential Risk anchors his arguments on AI in active institutional research on civilisational-scale risk – not opinion or futurism. The 100,000-year historical lens is genuinely rare in this space. It gives senior audiences a method for distinguishing structurally permanent change from cyclical volatility – applicable immediately to strategy, regulation, and organisational design. Biography highlights Professor of History, Department of History, Hebrew University of Jerusalem; PhD from the University of Oxford, 2002 Author of Sapiens, Homo Deus, 21 Lessons for the 21st Century, and NEXUS – published in more than 65 languages; Sapiens held the Sunday Times bestseller top three for 96 consecutive weeks and ranked #10 in the NYT’s 100 Best Books of the 21st Century (2024) Distinguished Research Fellow, Centre for the Study of Existential Risk, University of Cambridge Two-time Polonsky Prize for Creativity and Originality (2009, 2012); Moncado Award, Society for Military History (2011); Handelsblatt German Economic Book Award for Homo Deus (2017) WEF Davos keynote speaker in 2016, 2018, 2020, and 2026; CBS 60 Minutes profile (2021) Regular contributor to the Financial Times, The Guardian, The Economist, New York Times, and Nature Biography Organisations making decisions about AI governance are operating without historical context. The scale of information networks has changed before – with writing, printing, and broadcasting – and power has reorganised around each transition. What makes AI structurally different is not its speed or scale, but the fact that, for the first time, the network itself can generate and act on information without human instruction. Yuval Noah Harari is a Professor of History at the Hebrew University of Jerusalem and a Distinguished Research Fellow at Cambridge’s Centre for the Study of Existential Risk. His four major works – Sapiens, Homo Deus, 21 Lessons for the 21st Century, and NEXUS – form a sustained argument about the relationship between information, power, and human agency, tracing it from the deep past to the governance decisions of the AI era. NEXUS, published in 2024, made that argument most directly relevant to organisations. Harari’s central distinction – between information systems that are self-correcting and those that reinforce existing power – gives leaders a practical framework for evaluating AI governance, regulatory exposure, and institutional design. The book argues that how organisations and governments navigate this distinction is the defining question of the current period. NEXUS reached number two on both the New York Times and Sunday Times bestseller lists within a week of publication. Harari has held public conversations with heads of state including Emmanuel Macron, Angela Merkel, and Mark Rutte on the future of AI and information. He has delivered keynote addresses at the World Economic Forum in Davos in 2016, 2018, 2020, and 2026, and contributes regularly to the Financial Times, The Guardian, The Economist, and Nature. His books have been translated into more than 65 languages. Key speaking topics Artificial intelligence and information governance The history and future of information networks Geopolitical risk and global power Long-term civilisational change and strategic foresight Human agency and technological disruption Shared fictions, institutions, and how societies hold together AI regulation and democratic resilience Ideal for Boards and C-suite leadership teams navigating AI governance, information strategy, or long-term geopolitical risk Policy, government affairs, and strategic foresight functions at senior level Global conference and forum audiences at CEO, minister, or board director level Technology strategy and corporate affairs teams working on the societal and regulatory implications of AI Audience outcomes A macro-historical framework for reading which changes are structurally significant vs cyclical – applicable to strategy, governance, and regulatory positioning Practical understanding of the NEXUS distinction between self-correcting and self-reinforcing information systems, and its implications for AI governance design Clearer thinking about where power resides in information networks, and what that means for institutional and organisational decisions Historical context for positioning AI decisions within the longer pattern of how information technologies have redistributed political and economic power Sharper questions to bring back to leadership, board, and regulatory conversations already underway

Why organisations work with Zack Kass He built the commercial engine inside OpenAI that translated frontier research into deployed products, which is a different vantage point from any external futurist or consultant. His “Unmetered Intelligence” framework gives boards a concrete way to plan for AI as infrastructure, not as a vendor decision, and it travels into capital allocation conversations rather than staying inside the IT function. He works directly with the leadership teams of named global organisations, including Coca-Cola, Morgan Stanley, Microsoft, Deloitte, and Amgen, so the room recognises that the playbook has been pressure-tested against companies they compete with. His Wiley book, The Next Renaissance, is a USA Today, Publishers Weekly, and LA Times bestseller, which gives a CHRO or CIO a coherent reference for their executive team and not only a keynote. He is a recurring voice on Bloomberg and CNBC on AI risk, capital, and workforce impact, so the credibility check a buyer does after the call confirms the brief. Biography highlights Former Head of Go-To-Market at OpenAI; built the sales, partnerships, and customer success teams. Author of The Next Renaissance: AI and the Expansion of Human Potential (Wiley, 2026); USA Today, Publishers Weekly, and LA Times bestseller. Executive-in-Residence, University of Virginia McIntire School of Commerce. Founder of ZKAI LLC; author of the “Unmetered Intelligence” white paper. Advisor to Fortune 1,000 leadership teams including Coca-Cola, Morgan Stanley, Microsoft, Deloitte, PayPal, MetLife, TikTok, Amgen, and The Hartford. Recurring AI commentator for Bloomberg and CNBC; bylined contributor to Fortune. B.A., University of California, Berkeley. Biography OpenAI’s research only became a market because someone had to translate model weights into contracts, support, and adoption inside the world’s largest companies. That commercial scaffolding was built by the team Kass led as Head of Go-To-Market, and it is the unusual seat that shapes what he now offers to boards. The proposition is operational. Most leadership teams have approved AI pilots. Few have made the harder decisions about where intelligence sits in the workflow, who is accountable for outcomes, and what gets reorganised when cognitive capacity stops being scarce. Kass writes about that shift in his Wiley book, The Next Renaissance, and codifies it in his “Unmetered Intelligence” framework, which treats AI as infrastructure on the order of electricity rather than as a product category. The advisory base is concrete. Coca-Cola, Morgan Stanley, Microsoft, Deloitte, PayPal, MetLife, TikTok, Amgen, and The Hartford have all worked with him directly, and the case studies that surface in his keynotes are drawn from those rooms. Bloomberg and CNBC use him as a recurring voice on AI risk and capital allocation, and his Fortune writing pushes the same argument into wider business debate. He is also Executive-in-Residence at UVA McIntire, which keeps the research and the boardroom work on the same circuit. What boards take from him is a sharper read on the next two to three years of AI deployment, written in the language of operating decisions rather than technical features. The choices around workforce, capital, and capability sequencing are no longer theoretical for most executive teams, and Kass is one of the few voices who has watched them get made from the inside of the company that triggered them. Key speaking topics Applied AI strategy for Fortune 1,000 leadership teams The Unmetered Intelligence thesis AI deployment beyond pilots Workforce redesign in the age of AI The Next Renaissance: AI and human potential AI risk, regulation, and board governance Capital allocation and AI infrastructure Ideal for CEOs, CIOs, CTOs, and CHROs setting enterprise AI strategy Boards and audit committees pressure-testing AI risk and governance posture Senior leadership offsites focused on AI deployment and workforce redesign Industry conferences for financial services, technology, healthcare, and consumer goods Audience outcomes A clearer line between AI experimentation and the operating decisions that follow it A board-ready framing for AI as infrastructure, drawing on the Unmetered Intelligence thesis Specific reference points from named Fortune 1,000 deployments rather than generic case studies A defensible position on AI risk, capital allocation, and workforce impact to take back to executive teams