Automatisation

Why organisations work with Guy Hoffman He runs one of the leading labs in the world on human-robot and human-AI collaboration, so the content is drawn from active research, not recycled commentary. His design training at Parsons sits on top of an MIT computer science doctorate, which is why his work on non-anthropomorphic robots and nonverbal machine communication reads as rigorous rather than aesthetic. His TEDxJaffa talk “Robots with Soul” passed three million views and remains one of the most-watched public explanations of why machines feel awkward to work with, and how to fix it. He has shipped work that reached wide audiences: the AUR robotic desk lamp won the IEEE Robot Design Competition, and his collaboration on the Digital Water Pavilion was named a TIME Best Invention of the Year. He speaks to leadership audiences about AI without the two failure modes buyers dread: pure hype on one side, and pure academic detachment on the other. Biography highlights Associate Professor and Mills Family Faculty Fellow, Sibley School of Mechanical and Aerospace Engineering, Cornell University. Heads the Human-Robot Collaboration and Companionship (HRC2) group at Cornell. PhD, MIT Media Lab (human-robot interaction); MSc Computer Science, Tel Aviv University; animation studies, Parsons School of Design. Best Paper awards at HRI and robotics conferences across 2004, 2006, 2008, 2010, 2013, 2015, 2018, 2019, 2020 and 2021. Co-author of “Social Robot Morphology: Cultural Histories of Robot Design” in Cultural Robotics (Springer, 2023). Work covered by CNN, BBC, The New York Times, PBS, NBC, IEEE Spectrum and Semafor. Biography The hard problem in applied AI is not the model. It is the hand-off. The moment a machine has to time its action to a human’s, read context, share a task, or back off when the person wants to lead, most systems fail in ways that erode trust faster than any single output error. Guy Hoffman has spent two decades building the science of that moment. At Cornell, Hoffman leads the Human-Robot Collaboration and Companionship group as Associate Professor and Mills Family Faculty Fellow in the Sibley School of Mechanical and Aerospace Engineering. The lab’s work sits across mechanical engineering, computer science and information science, which is why it produces research on timing, nonverbal communication and the design of machines that do not pretend to be human. His doctorate is from the MIT Media Lab; he also trained in animation at Parsons, and that combination shapes the questions he asks. The public version of that thinking is his TEDxJaffa talk “Robots with Soul,” watched more than three million times and still one of the clearest explanations of why so many AI products feel wrong to use. The academic version is a body of work that has been recognised with Best Paper awards at HRI and robotics conferences across a decade and more, and a 2023 Springer chapter, “Social Robot Morphology,” that traces how cultural assumptions get baked into machine design. For senior audiences, the through-line is practical. Companies are now deploying AI into workflows that were built for humans. Hoffman’s research shows what breaks at that boundary, why it breaks, and what good looks like when a machine is designed to collaborate rather than merely perform. That is a more specific brief than the usual AI keynote, and it lands with operators who have already moved past the demo. Key speaking topics Human-AI collaboration and the design of productive machine partners Human-robot interaction in workplaces and homes Nonverbal communication between people and intelligent systems Non-anthropomorphic robot and AI design Timing, trust and hand-offs in human-machine teams Cultural assumptions embedded in AI and robot design The future of robots in care, service and creative work Ideal for Chief technology and chief AI officers leading enterprise AI deployment Heads of R and D, innovation and product in technology-intensive sectors Boards and executive teams setting strategy for automation and AI-enabled services Health, manufacturing and service leaders introducing robotic or AI systems into human workflows Audience outcomes A clearer map of where AI and robotic systems tend to fail at the human boundary, and why those failures are predictable A working vocabulary for discussing trust, timing and hand-offs in AI-enabled operations Specific design principles from two decades of human-robot interaction research, translated for non-technical leaders A view of where near-term robotics is heading in workplaces, homes and care settings, grounded in current lab work Sharper questions to bring back to internal AI and automation roadmaps

Why organisations work with Jason Bradbury Twelve years presenting The Gadget Show on Channel 5 trained him to make emerging technology legible to a general audience without diluting the substance. Boards get the same treatment. His 2026 keynote The AI Advantage introduces a “6 Degrees of AI” framework that maps AI impact across sectors, giving audiences a structured way to read their own industry rather than a generic overview. He completed MIT’s Artificial Intelligence: Implications for Business Strategy programme, anchoring the keynote content in a formal commercial-AI curriculum rather than vendor marketing. He combines keynote and host roles in the same booking. For technology summits and innovation days that need a credible anchor across the whole programme, this removes a casting decision. Biography highlights Presented Channel 5’s The Gadget Show from launch in 2004 to 2016, twelve years of prime-time technology broadcasting. Multiple Guinness World Records set on the programme, including fastest jet-powered street luge at 186.41 km/h. Author of the Dot Robot techno-thriller series for Penguin Random House: Dot Robot, Atomic Swarm, Cyber Gold. Completed MIT Sloan’s Artificial Intelligence: Implications for Business Strategy programme. Has sat on judging panels for the BAFTA Video Games Awards and the Media Guardian Innovation Awards. Keynote and hosting work with Vodafone, Samsung, Intel, Microsoft, Oracle, Sony, Audi, BMW, BP, Disney, Porsche, Salesforce, Royal Caribbean and BT. Biography Twelve years on Channel 5’s The Gadget Show is, among other things, twelve years of explaining emerging technology to an audience that did not study engineering. Jason Bradbury presented the programme from its 2004 launch through 2016, by which point he had also set multiple Guinness World Records on air, the most cited being a jet-powered street luge clocked at 186.41 km/h on the show’s 200th episode. The broadcasting work sits alongside a second strand of authorship. The Dot Robot series for Penguin Random House (Dot Robot, Atomic Swarm, Cyber Gold) is technology fiction for younger readers, and the same instinct runs through his keynote work: take a complicated technical subject, find the human stakes, hold attention. The keynote material has tightened as AI has moved up the boardroom agenda. Bradbury completed MIT Sloan’s Artificial Intelligence: Implications for Business Strategy course, and his 2026 talk The AI Advantage introduces a “6 Degrees of AI” framework intended to give business audiences a structured way to read AI impact in their own sector rather than a generic horizon scan. He is most commonly booked by organisations that want a single credible figure to anchor a technology day, keynote on AI in the morning, host panels in the afternoon, hold the room. Clients across that work include Vodafone, Samsung, Intel, Microsoft, Oracle, BMW, BP, Porsche, Disney and Salesforce. Key speaking topics Artificial intelligence for business audiences Sector impact of generative AI Future of work and automation Emerging consumer technology Robotics and autonomous systems Innovation and product disruption Technology event hosting and moderation Ideal for Technology summits and innovation days that need a single anchor across keynote and host roles Sales kick-offs and customer conferences using AI as the headline theme Boards and executive offsites looking for an accessible read on AI sector impact Awards ceremonies and brand events with a technology adjacency Audience outcomes A working mental model of where AI is heading across the next decade, mapped to the audience’s own sector Sharper questions to ask vendors, internal teams and consultants about AI claims A concrete sense of which AI use cases are credible now versus speculative Reduced sense that AI is a single undifferentiated wave, replaced with a structured view of where it lands

Why organisations work with Jochen Wirtz He wrote the textbook the global services marketing field teaches from. Services Marketing: People, Technology, Strategy, co-authored with Christopher Lovelock, has sold over a million copies and shaped how MBAs are taught the discipline in more than 26 countries. He has paired that academic authority with two operator-facing AI books, Intelligent Automation and Agentic Artificial Intelligence, written with Pascal Bornet. Few service strategy voices can speak as fluently to both a CMO and a Chief Automation Officer. His Christopher Lovelock Career Contributions Award from the American Marketing Association and the Gronroos Service Research Award are the two most senior honours in the global services research community. Boards get a recognised authority, not a generalist. He has been Clarivate Highly Cited Researcher in economics and business in 2022, 2023, and 2024, which means his frameworks are the ones other researchers and practitioners are actively building on. He spent fifteen years running the UCLA-NUS Executive MBA Programme as founding director, so the audiences he addresses most naturally are senior leaders, not students. Biography highlights Vice Dean of MBA Programmes and Professor of Marketing, NUS Business School, National University of Singapore. Co-author of Services Marketing: People, Technology, Strategy (9th edition) with the late Christopher Lovelock, adapted for over 26 countries. Co-author of Intelligent Automation (2021) and Agentic Artificial Intelligence (2025) with Pascal Bornet, with contributors including Thomas H. Davenport. Christopher Lovelock Career Contributions Award (AMA, 2019) and Christian Gronroos Service Research Award (2024). Clarivate Highly Cited Researcher in economics and business, 2022, 2023, and 2024; over 200 academic articles and six features in Harvard Business Review. Academic Scholar at Cornell Institute for Healthy Futures; International Fellow at Karlstad University Service Research Center; Global Faculty at Arizona State University Center for Services Leadership. Biography Service businesses are where AI is hitting the operating model first. Customer interactions, advisory work, claims handling, hospitality, healthcare reception, professional services delivery: all of it is being rewired around intelligent agents, and very few people on the academic side have stayed close to that shift in practical terms. Jochen Wirtz has. He is Vice Dean of MBA Programmes and Professor of Marketing at NUS Business School, and the co-author, with the late Christopher Lovelock, of Services Marketing: People, Technology, Strategy. The textbook is now in its ninth edition, has sold over a million copies, and has been adapted for more than 26 countries. It is the spine of the discipline globally. What makes him useful in a leadership room rather than a classroom is the second body of work. With Pascal Bornet he wrote Intelligent Automation in 2021 and Agentic Artificial Intelligence in 2025, with contributions from Thomas H. Davenport and others. Both are written for operators making real choices about where to put AI inside their service architecture and where not to. The credentials line up behind that: the Christopher Lovelock Career Contributions Award from the American Marketing Association, the Christian Gronroos Service Research Award, three consecutive years as a Clarivate Highly Cited Researcher in economics and business, and fifteen years as founding director of the UCLA-NUS Executive MBA Programme. Boards get an academic with the authority to set the agenda and the operator literacy to follow it through. Key speaking topics Services marketing and service management AI agents and intelligent automation in service organisations Service strategy and organisational redesign Customer experience in AI-enabled service Platform business models Corporate digital responsibility and governance Cost-effective service excellence Ideal for CEOs, COOs, and CMOs of service-led businesses redesigning operations around AI agents. Chief Digital, Transformation, and Automation Officers building the AI-and-services roadmap. Boards and executive committees in financial services, professional services, hospitality, healthcare, and telecoms working through service productivity and customer impact at the same time. Audience outcomes A clearer view of where AI agents create durable advantage in a service business and where they create new risk. A working vocabulary for the service strategy choices behind automation programmes, drawn from the field’s leading textbook. Frameworks from Intelligent Automation and Agentic Artificial Intelligence that translate AI investment into service design decisions. A sharper sense of corporate digital responsibility as service interactions become increasingly machine-mediated. Confidence that the operating model conversation and the customer experience conversation are the same conversation.

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

Why organisations work with Raffaello D’Andrea He has built two commercially-deployed autonomous systems from the ground up – Kiva Systems, now the architecture powering over a million Amazon Robotics units across 300+ facilities, and Verity, whose autonomous indoor drones operate at nearly 200 sites worldwide. Most technology speakers have observed others build at scale; D’Andrea has done it twice. His account of the gap between academic research and industrial deployment is not speculative. He moved from Cornell professor to co-founder to chief technical advisor to ETH faculty, and back to founder again – carrying hands-on engineering responsibility at every stage. That trajectory gives organisations a rare, inside view of what makes autonomous systems fail or succeed in practice. The Kiva story – a $775M acquisition that became the operational backbone of the world’s largest e-commerce company – is a fully documented, publicly available case study in redesigning an entire industry’s logistics model around autonomous systems. D’Andrea can speak to that case from the inside, as the architect of the core system. His ongoing research at ETH Zurich, through platforms like CyberRunner, Cubli and the Flying Machine Arena, sits at the frontier of autonomous learning and control. Audiences hear what is actually being solved in research today, not what is being forecast by analysts. Elected to the National Academy of Engineering, inducted into the National Inventors Hall of Fame for the Kiva system, and recognised by the Logistics Hall of Fame – D’Andrea holds formal peer recognition across engineering, invention and industry simultaneously, a combination that is rare among technology speakers. Biography highlights Professor of Dynamic Systems and Control, ETH Zurich; founder of ETH’s Institute for Dynamic Systems and Control Co-founder of Kiva Systems, acquired by Amazon in 2012 and now operating as Amazon Robotics, the autonomous fulfilment system at the core of Amazon’s global warehouse operations Founder and CEO of Verity, autonomous indoor drone company deployed at nearly 200 sites worldwide, with clients including IKEA, Maersk and UPS Elected member, National Academy of Engineering (2020); National Inventors Hall of Fame inductee (2022); Logistics Hall of Fame inductee (2024) IEEE Fellow; IEEE Robotics and Automation Award (2016); Engelberger Robotics Award (2015); Presidential Early Career Award for Scientists and Engineers (2001); named on more than 40 US patents TED Global 2013 and TED 2016 speaker; TED and research videos with tens of millions of views New media artworks held in the permanent collections of the National Gallery of Canada and France’s FRAC Centre; exhibited at the Venice Biennale Biography The systems running inside Amazon’s warehouses today – more than a million autonomous robots across over 300 facilities – trace their core architecture directly to Raffaello D’Andrea. As co-founder of Kiva Systems, D’Andrea designed the navigation logic, fleet coordination algorithms and adaptive control systems that made warehouse automation economically viable at commercial scale for the first time. When Amazon acquired Kiva in 2012, it rebranded the company as Amazon Robotics and made it the operational foundation of its global fulfilment network. That work was built on a research track record with real competitive stakes. Before Kiva, D’Andrea was at Cornell University, where he led the Robot Soccer Team to four consecutive RoboCup world championships – using autonomous multi-agent competition as a proving ground for the kinds of coordination and real-time decision-making that large-scale robotics deployments require. The move from academic research to commercial deployment, and back to academic research, is the defining pattern of his career. At ETH Zurich, where he founded the Institute for Dynamic Systems and Control, D’Andrea leads research through hands-on experimental platforms – CyberRunner, Cubli, the Flying Machine Arena, the Distributed Flight Array – that probe the real limits of autonomous learning, not its theoretical promise. In 2014, he co-founded Verity, whose autonomous indoor drone systems now operate at nearly 200 sites worldwide, automating inventory tracking and operational data collection for clients including IKEA, Maersk and UPS. The company raised a $43M Series B in 2023 with Qualcomm Ventures among the investors. Elected to the National Academy of Engineering and inducted into both the National Inventors Hall of Fame and the Logistics Hall of Fame, D’Andrea holds formal peer recognition across engineering, invention and industry – a combination that reflects a career built on closing the distance between what autonomous systems can do in a laboratory and what they can sustain across an industrial operation. Key speaking topics Autonomous systems design and commercial-scale deployment AI, machine learning and physical intelligence Warehouse automation and supply chain operations Deep-tech entrepreneurship and venture building Autonomous flight and drone systems The gap between robotics research and real-world application The future of human-machine collaboration in physical operations Ideal for COOs, heads of supply chain and logistics leaders evaluating or scaling autonomous operations CTOs and technology leadership teams making investment decisions in robotics and AI deployment Boards and executive committees setting autonomous systems strategy Innovation and transformation leadership forums focused on operational technology Audience outcomes A practitioner’s framework for distinguishing autonomous systems that create genuine operational value from those that stall between proof of concept and deployment Concrete understanding of the systems design conditions that make robotics reliable and economically viable at industrial scale An insider account of how Kiva Systems redesigned warehouse operations – and what that process reveals about the real requirements of large-scale autonomous deployment A more accurate picture of where AI and robotics are heading, grounded in what is already working at commercial scale rather than in market speculation Sharper criteria for evaluating autonomous technology partnerships, vendor claims and investment priorities

Why organisations work with Richard van Hooijdonk He maps the intersection of multiple converging technologies – AI, robotics, quantum computing, biotech, autonomous systems – in a single strategic framework. Most technology speakers go deep on one domain; van Hooijdonk shows how these forces compound, which is where the strategic risk and opportunity actually sits. His material comes from an active research operation. Trendforce.one (Futurezone.ai) runs a permanent international research team, meaning his content reflects current technological trajectories rather than the publication date of a book or the half-life of a conference circuit. He speaks credibly across both commercial and institutional mandates. Clients range from Interpol, the European Commission, and NATO to Google, Deloitte, and Heineken – giving him a grounded view of how the same technology behaves under different regulatory, security, and commercial conditions. His RFID chip implants – used in daily life to open doors and operate his vehicle – are a verifiable, concrete expression of a research philosophy built on direct experience rather than observation. It is unusual, and it is documented. His Dutch-language bestseller De wereld van morgen and his multi-year recognition as the most sought-after futurist in the Netherlands demonstrate a sustained public credibility that extends well beyond the conference stage. Biography highlights Founder and CEO of Trendforce.one / Futurezone.ai, a future intelligence agency with a permanent international research team tracking emerging and disruptive technologies Author of De wereld van morgen (The World of Tomorrow), a Dutch bestseller published by Bertram + De Leeuw Uitgevers (2017); author of 2,000+ articles and 60+ books, e-books, and whitepapers Delivered presentations to more than 600,000 attendees across 30+ countries since 2014 Clients include Google, Microsoft, IBM, Gartner, Interpol, NATO, the European Commission, PwC, Deloitte, Heineken, Unilever, and Nike Guest lecturer at Nyenrode University and Erasmus University Regular television contributor on RTL (RTL Late Night, RTL Boulevard, RTLZ) and former host of Mindshift on BNR Nieuwsradio Voted most sought-after trendwatcher and futurist in the Netherlands for multiple consecutive years from 2015 Biography Technology leaders have been warning organisations about AI and automation for years. What has changed is the simultaneity: AI, robotics, quantum computing, and biotech are not a sequence of challenges to address in turn – they are arriving together, and their combined effect on business models is harder to read than any single technology in isolation. Richard van Hooijdonk has built his practice around exactly this problem. His research base is institutional rather than individual. As founder and CEO of Trendforce.one – now operating as Futurezone.ai – he leads a permanent international research team that tracks emerging technologies across sectors, geographies, and regulatory environments. Where many futurists work from published sources and their own networks, van Hooijdonk’s content is generated from ongoing intelligence work. The material he brings to a board conversation reflects the current state of the field. His client base spans both sides of the public-private boundary. Organisations including Interpol, NATO, the European Commission, and Dutch Customs sit alongside Google, Deloitte, Heineken, and Samsung in his client history. That cross-sector exposure matters: the same autonomous system or generative AI application functions differently under a security mandate than under a commercial growth brief, and van Hooijdonk can articulate both. His public platform extends his research reach beyond the executive audience. De wereld van morgen (The World of Tomorrow), a Dutch-language bestseller, brought his frameworks to a wider readership. Regular appearances on RTL television and BNR Nieuwsradio – where he hosted the Mindshift programme – and guest lectureships at Nyenrode University and Erasmus University have established him as a sustained public voice on technological change, not simply a conference circuit presence. Key speaking topics Artificial intelligence and generative AI Robotics and autonomous systems Quantum computing and frontier technologies Technology-driven sector transformation The organisation of the future Cybercrime, security, and technology-enabled risk The future of work and human-machine collaboration Ideal for Boards and executive leadership teams making technology investment decisions with long strategic horizons Chief Digital Officers, Chief Technology Officers, and Chief Innovation Officers Strategy and innovation functions within large enterprises navigating multi-technology disruption Public sector, government, and law enforcement organisations managing the security and governance implications of emerging technology Audience outcomes A framework for assessing multiple converging technologies simultaneously, rather than evaluating each in isolation Sector-specific perspective on how AI, robotics, and adjacent technologies will alter competitive dynamics in their industry Practical orientation on where to begin with AI adoption – which processes are immediately affected, and how to sequence the transition Awareness of the security and governance risks created by emerging technologies, including AI-enabled crime and deepfakes Strategic clarity on the leadership behaviours and organisational structures required to adapt continuously, not reactively

Why organisations work with Spencer Kelly Two decades inside the BBC’s flagship technology programme, Click, give him a working knowledge of frontier tech that very few keynote speakers can match, and a presenter’s instinct for what a general audience can absorb. He is one of the few speakers who is equally credible as a keynote on AI and emerging tech and as the host or moderator who runs the rest of the day, which reduces the number of people a conference organiser has to brief. A Cambridge Computer Science background, with an undergraduate dissertation on AI, means his explanations sit on actual technical understanding rather than on borrowed framing. He has interviewed the people audiences are most curious about, from Bill Gates and Steve Ballmer to James Cameron, Edward Snowden and Julian Assange, which gives his sessions named primary material instead of recycled commentary. BBC Radio 4’s Understand: Tech & AI and the technology segment on BBC Morning Live keep him in current weekly conversation with a non-specialist audience, which is the audience most leadership teams actually resemble. Biography highlights Presenter of BBC Click from January 2006 to its final episode in March 2025, the BBC’s longest-serving technology presenter. Host of BBC Radio 4’s Understand: Tech & AI, a 10-part series first broadcast in July 2023. Presents the technology segment on BBC Morning Live. Computer Science double first from Churchill College, Cambridge, with an undergraduate dissertation on artificial intelligence. Honorary Doctor of Technology, Coventry University. Named T3 Magazine Tech Personality of the Year in 2015. Biography BBC Click ran for 25 years on BBC World News and the BBC News Channel. Spencer Kelly presented it for nearly 19 of them, from January 2006 to its final episode in March 2025. That single fact carries more weight in a leadership audience than any speaker bio summary, because it means the person at the front of the room has been tracking, testing and explaining frontier technology to a global audience continuously across an entire technology cycle. The Cambridge Computer Science training matters here. His double first at Churchill College, with an undergraduate dissertation on artificial intelligence and genetic algorithms, is the reason his explanations of AI sit on actual technical foundations rather than on metaphors. He moves fluently between the engineering reality and the boardroom question, which is exactly what most senior audiences are trying to do when they sit down at a strategy day. Beyond Click, he hosts BBC Radio 4’s Understand: Tech & AI, the 10-part series launched in July 2023, and presents the technology segment on BBC Morning Live. He has interviewed Bill Gates, Steve Ballmer, James Cameron, Edward Snowden and Julian Assange. T3 Magazine named him Tech Personality of the Year in 2015. Coventry University awarded him an Honorary Doctor of Technology. For an event with leadership stakes, he is unusually flexible. He delivers the keynote on AI, automation and emerging technology when that is the brief, and he hosts, moderates or runs the awards when the day needs a presenter who can carry the room and stay on the subject. The same person does both jobs to BBC standard, which is rarer than most conference programmes assume. Key speaking topics Artificial intelligence in business Emerging technology and its commercial impact Automation and the future of work Quantum computing, blockchain and the metaverse Technology hosting, moderation and awards presenting Ideal for Boards and executive teams running an AI literacy or emerging tech briefing Conference organisers who need a single host across keynote, panel and awards CIO, CTO and digital transformation leaders running annual offsites Industry awards and sector summits that want a recognisable, technically credible host Audience outcomes A clearer picture of where AI and adjacent technologies are now, separated from the marketing layer. Specific named examples of how organisations are using emerging tech, drawn from his Click reporting. A working sense of which technologies sit in the next 18 months and which sit further out. The confidence to ask sharper questions of internal teams and external vendors.

Why organisations work with Steve Wozniak He is the only living engineer who designed both the Apple I and Apple II from scratch – making him the sole speaker who can give an unmediated, first-hand account of the technical and creative decisions that launched the personal computer industry, not a retelling of someone else’s story. His account of innovation is engineering-first, not strategy-first: the Apple II preceded the business plan, not the other way round. That distinction gives organisations a direct counterpoint to the assumption that great products are the output of structured innovation programmes. The National Medal of Technology (1985) and the Heinz Award for Technology, The Economy and Employment (2000) – awarded specifically for “single-handedly designing the first personal computer” – are among the most rigorously assessed technology honours in the United States, and are publicly verifiable by any due-diligence process. His three decades of direct involvement in technology education – from adopting a school district to co-founding Woz U in 2017 – extend his argument about curiosity-driven invention into how organisations build and develop technical talent, not just how they manage innovation strategy. His signature format is a moderated conversation, not a fixed keynote: organisations set the agenda, and Wozniak engages directly with the specific challenges the audience brings. The result is different from – and harder to replicate than – a pre-packaged talk. Biography highlights Sole engineer on the Apple I (1976) and Apple II (1977); listed as sole inventor on four Apple patents National Medal of Technology, 1985 – awarded by President Ronald Reagan, jointly with Steve Jobs, for the development and introduction of the personal computer ACM Grace Murray Hopper Award, 1979; Heinz Award for Technology, The Economy and Employment, 2000; National Inventors Hall of Fame inductee, 2000 Computer History Museum Fellow, 1998 Author of iWoz: From Computer Geek to Cult Icon (W.W. Norton, 2006) – a New York Times bestselling autobiography BS in Electrical Engineering and Computer Science, University of California, Berkeley; co-founded Woz U in 2017, a postsecondary software engineering and technology training platform Founding sponsor of the Children’s Discovery Museum of San Jose and The Tech Interactive, Silicon Valley’s technology museum Biography The Apple II was built by one engineer, on his own time, because the problem interested him. Steve Wozniak had no brief, no product committee, and no market research – just an engineering puzzle he found compelling. That creative condition is what produced the personal computer industry, and it is what Wozniak has spent decades trying to explain and, through his education work, replicate. That engineering-first perspective sets his account apart from those who discuss innovation as a strategic discipline. The Apple II preceded the business, not the other way round. Its colour graphics, integrated keyboard, and floppy disk drive were engineering decisions, not market-research conclusions. The product that launched a global industry was a technical artefact made by a person who loved making things. That distinction matters to any organisation asking why its own innovation efforts consistently underperform. The recognition that followed has been rigorous and specific. Wozniak received the National Medal of Technology in 1985 – jointly with Steve Jobs, for the development and introduction of the personal computer – the highest honour for technological achievement awarded by the United States government. The ACM Grace Murray Hopper Award recognised his contributions in 1979. In 2000, the Heinz Award for Technology, The Economy and Employment cited him explicitly for designing the first personal computer and redirecting his work toward education. He holds four Apple patents and is a Fellow of the Computer History Museum. His commitment to education has been sustained and direct. He adopted the Los Gatos School District, co-founded Woz U in 2017 to expand access to software engineering training, and has taught computer literacy in classrooms. His autobiography, iWoz: From Computer Geek to Cult Icon (W.W. Norton, 2006), was a New York Times bestseller. His BS in Electrical Engineering and Computer Science from the University of California, Berkeley was completed years after Apple had already become a global company – a fact that says something about what he values and why. Key speaking topics Engineering-led innovation and market creation The founding of Apple Computer Entrepreneurial thinking inside large organisations The origins of the personal computer industry Robotics, AI, and automation Technology education and technical talent development Creative freedom and engineering culture Ideal for CEOs and board-level audiences examining why large-organisation innovation consistently underperforms relative to investment CTOs, Chief Innovation Officers, and engineering leadership teams seeking a primary-source perspective on invention rather than innovation methodology Corporate innovation programmes and R&D functions looking to ground strategy in engineering-first thinking Technology and digital transformation conferences requiring a speaker whose credibility is structural, not positional Audience outcomes A first-hand account of the technical decisions and working conditions that produced the Apple I and Apple II – the machines that defined personal computing A clearer understanding of why genuine invention tends to emerge from curiosity and freedom rather than process and planning cycles Practical perspective on what organisations can do – and stop doing – to allow engineering talent and technical curiosity to produce commercially significant results Insight into the relationship between education, hands-on technical skill, and the kind of innovation that creates new industries rather than improves existing ones Exposure to a model of entrepreneurship that began with engineering before it had a business – and what that sequence reveals about how lasting technology companies are actually built

Why organisations work with Tim Cortinovis He treats AI in sales as an operating model question, not a tooling question. The conversation shifts from “which platform” to “what does revenue generation look like when the work itself is automated” His “single-handed unicorn” thesis names a specific argument that lands with founders, scale-up CEOs and corporate innovators: the unit economics of building large companies with very small teams have changed, and the strategic implication is concrete He is one of a small number of speakers genuinely fluent in agentic AI for revenue, recognised by Thinkers360 in both the AI and Sales categories, not one or the other He delivers in English, German and Spanish, which makes him commercially useful across European corporate audiences without translation overhead The frame is business-first and pragmatic. Forbes called him a tech visionary, but the room gets actionable economics, not a tour of model capabilities Biography highlights Top 10 Thought Leader in Agentic AI and Top 10 Thought Leader in Sales, Thinkers360 Author of several books on AI in sales and revenue, including Agentic Revenue Systems and The Single-Handed Unicorn Named clients include Siemens, E.ON, ING, MSC Cruises, Edelman and YPO Master of Arts in Spanish and German Linguistics, University of Hamburg Member, Global Speakers Federation and German Speakers Association Keynote languages: English, German, Spanish Biography Most “AI in sales” content is still tooling content. It explains what platforms exist, how a model can draft an email, where automation removes a click. The harder argument, the one buyers are starting to ask for, is what the commercial organisation looks like when an autonomous agent owns the workflow end to end. Tim Cortinovis works in that argument. His ‘single-handed unicorn’ thesis names something specific: the unit economics of building a large business have changed, because agentic systems now do work that once required headcount. For corporate leaders, the implication is a redesign of how revenue and customer operations are staffed. His most recent book, Agentic Revenue Systems, carries that argument into the enterprise. It frames a three-layer model for revenue teams: human judgment, agentic execution, and governance. Thinkers360 places him in the top ten globally for both Agentic AI and Sales. The credentials sit on top of fifteen years of operating experience in international B2B sales and marketing, primarily in IT and automation. That history shows in the room. Named clients include Siemens, E.ON, ING, MSC Cruises and Edelman, and the work is delivered across English, German and Spanish for European audiences who want practical economics rather than a tour of model capabilities. In Forbes, Michael Ashley described him as a ‘tech visionary’. The more useful description is that he gives a sales leadership team a defensible answer to what AI is actually for in their organisation. Key speaking topics The Agentic Revenue Architecture Agentic AI in sales and revenue operations The single-handed unicorn thesis Sales and marketing automation AI-driven business model redesign Future of work in commercial functions Digital transformation in B2B sales Ideal for Chief Revenue Officers and Chief Commercial Officers running AI transformation in sales Founders and scale-up CEOs rethinking headcount under agentic AI Boards and ExCos asking what AI actually changes about commercial operating models Sales leadership offsites and B2B revenue conferences across Europe and the Americas Audience outcomes A clear position on what agentic AI changes about the structure of a revenue organisation, not just its tools A working vocabulary for the single-handed unicorn argument and where it does and does not apply Specific examples of AI-driven commercial models from companies already operating this way A sharper view of where their own sales function is automatable now versus 18 months out

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.