Artificial Intelligence & Generative AI speakers

Why organisations work with Peter Siljerud Engineering training combined with twenty years in trend analysis and futures work. His AI commentary runs deeper than headline level into how machine learning and neural networks behave, and what that means for deployment risk. Author of AI för offentlig sektor (Liber, 2023, foreword by Professor Fredrik Heintz of Linköping University), with case studies of Bolagsverket, Riksarkivet, and Hallands sjukhus. One of the few futurists with substantive applied work on public-sector AI. Co-author of Supertrends (ProSales Institute, English edition 2020), a framework of fifty structural shifts in commercial strategy. The book is built for sales and marketing leaders running real planning cycles. Long-running client work with Nordea, ICA, the Church of Sweden, LRF, SPP, and Teracom. The LRF programme reached 12,000 people across a two-year external-analysis curriculum. Biography highlights CEO and founder of Futurewise, a Stockholm-based trend research firm operating since 2008 Author of four books: 100 trender (2011), Bryt normerna (2015), Supertrenderna (2018), and AI för offentlig sektor (Liber, 2023) Two books nominated for Marketing Book of the Year by Sveriges Marknadsförbund (Swedish Marketing Federation) Named one of Sweden’s most creative people by media group IDG in 2012 Former future strategist at Kairos Future and world analyst at Intel Clients include Nordea, ICA, the Church of Sweden, LRF, SPP, and Teracom Biography Sweden’s public-sector AI investment sits at around three percent of national AI spending. The figure is small enough to embarrass policymakers and large enough to matter. Peter Siljerud’s 2023 book AI för offentlig sektor (Liber, foreword by Professor Fredrik Heintz of Linköping University) is the practical response: case studies of Bolagsverket, Riksarkivet, and Hallands sjukhus, written for the leadership teams making the actual deployment decisions. That instinct, work backwards from organisational reality, has shaped twenty years of his practice. He trained as a civil engineer before moving into futures work as a strategist at Kairos Future and a world analyst at Intel. Futurewise, the firm he founded in 2008, helps leadership teams turn external-analysis signals into specific budget and capability calls. The earlier books trace the same arc. 100 trender (2011) was nominated for Sweden’s Marketing Book of the Year and mapped structural shifts hitting Swedish business. Bryt normerna (2015) attacked the assumption that the working day and the employment contract are settled categories. Supertrenderna (2018), co-authored with Henrik Larsson-Broman and Markus Ejenäs of the ProSales Institute, distilled fifty shifts in commercial strategy into operating advice for sales and marketing leaders. What separates him from the broader futurist circuit is the engineering instinct. The talks press past signal identification into what the audience should do next quarter. AI is treated as a specific technology with specific behavioural patterns that leadership teams need to understand at working level. Key speaking topics Artificial intelligence and generative AI Strategic foresight and trend analysis Future of work Future of sales and marketing AI in the public sector Consumer behaviour and retail trends Ideal for C-suite and senior leadership teams in Nordic and European businesses making AI investment decisions Public-sector leadership in regions, municipalities, and central agencies working out where AI investment pays back Heads of marketing, sales, and customer experience facing structural change in how customers buy Boards and executive committees in mature industries (real estate, retail, financial services) where trend response is overdue Audience outcomes A clear-eyed view of AI development that goes past press-cycle headlines A short list of trends worth genuine board attention this cycle, separated from the noise Specific case studies from Nordic public and private sector AI deployments, including Bolagsverket and Hallands sjukhus A method for translating external signals into capital and capability decisions Ideas they can put into a board paper inside a fortnight

Why organisations work with Peter Thiel Zero to One gives leadership teams a concrete test for whether their strategy is genuinely new or a costly form of imitation – a distinction most strategy processes are designed to obscure rather than force. His operating record spans two structurally different technology businesses – PayPal in consumer finance and Palantir in national security data analytics – which gives his claims about technology-led company building an unusually wide evidential base. The “contrarian question” – what important truth do very few people agree with you on? – functions as a practical diagnostic for strategic differentiation, not a rhetorical warm-up. Leadership teams leave with a tool they can apply immediately. As the first outside investor in Facebook and a Founders Fund partner whose bets include SpaceX, Airbnb, and Stripe, his argument for backing unconventional ideas over consensus picks is grounded in pattern recognition, not theory. His argument that definite optimism – a concrete plan for the future – outperforms “optionality” as a leadership posture is a direct challenge to how most boards approach long-term planning. Biography highlights Co-founder and CEO of PayPal; led the company to its acquisition by eBay for $1.5 billion in 2002 Co-founder and Chairman of Palantir Technologies since 2003; the company went public in 2020 and reached a market capitalisation exceeding $300 billion First outside investor in Facebook, acquiring approximately 10% of the company for $500,000 in 2004; board member until 2022 Co-founder and partner at Founders Fund, with a portfolio including SpaceX, Airbnb, Stripe, and Lyft Author of Zero to One: Notes on Startups, or How to Build the Future (2014) – #1 New York Times bestseller and widely adopted reference text in investor and founder communities Holds a BA in Philosophy and a JD from Stanford University; has taught at Stanford Law School and serves on the Hoover Institution’s Board of Overseers Founder of the Thiel Fellowship, which provides $100,000 grants to young entrepreneurs who forgo university to build companies World Economic Forum Young Global Leader; TechCrunch Crunchie Award, Venture Capitalist of the Year Biography The most expensive strategic mistake a leadership team can make is to compete at full intensity for something not worth fighting over. Most organisations never ask that question. Peter Thiel has spent three decades asking it – and the answer, across PayPal, Palantir, and Founders Fund, has been the same: the most valuable companies do not win competitions; they make them irrelevant. Thiel co-founded PayPal in 1998, led it as CEO through its 2002 acquisition by eBay for $1.5 billion, and then co-founded Palantir Technologies, a data analytics firm now serving governments and major institutions worldwide. He was also the first outside investor in Facebook, acquiring roughly 10% of the company for $500,000 in 2004. His Founders Fund portfolio – built on a philosophy of backing what others won’t – includes SpaceX, Airbnb, and Stripe. His 2014 book Zero to One: Notes on Startups, or How to Build the Future made the underlying argument explicit. The most valuable businesses go from zero to one – they create something genuinely new rather than competing for a larger share of something that already exists. Going from one to n, Thiel argues, is replication. Competitive markets grind down returns until no one profits. The strategic question worth asking is not how to win – it’s whether to compete at all. Thiel chairs Palantir’s board and is a partner at Founders Fund. He holds a BA in Philosophy and a JD from Stanford, where he has taught at the law school and serves on the Hoover Institution’s Board of Overseers. He founded the Thiel Fellowship, which grants $100,000 to young founders who leave university to build companies – a direct expression of his conviction that conventional paths often foreclose the unconventional thinking that creates real value. Key speaking topics Creative monopoly and competitive strategy Technology company building and venture capital Contrarian thinking and differentiated investment Artificial intelligence and the future of technology Long-term strategic planning and definite optimism Entrepreneurship and company formation The stagnation of technological progress Ideal for Executive and board leadership teams examining competitive strategy and business model differentiation Chief Strategy Officers, transformation leads, and senior leadership forums in technology-intensive industries Founder and investor communities at the intersection of innovation and capital allocation C-suite audiences focused on AI, data infrastructure, and long-term technology strategy Audience outcomes A concrete framework – the zero-to-one distinction – for evaluating whether a strategy is genuinely new or a structured form of competitive imitation Understanding of why monopoly, correctly defined, is the goal of lasting business strategy, and what the four durable sources of monopoly advantage are A practical diagnostic tool – the contrarian question – for identifying differentiated insight in their own market or category A grounded perspective on how power-law logic in venture capital applies to internal resource allocation and portfolio thinking A clearer view of where technology is genuinely advancing, where it has stalled, and what that means for decisions made today

Why organisations work with Philip Sheppard He has actually built and runs an AI creative business. LifeScore, the generative music platform he co-founded with Siri creator Tom Gruber, has raised £11m and ships to Warner Music Group and Octopus Ventures-backed commercial partners. The argument is grounded in a working company, not a slide on disruption. He brings a working composer’s view of human-AI collaboration. Most AI commentary is by analysts. His comes from sitting at the boundary where a human writes the musical raw materials and the machine selects, layers and mixes them in real time, which is the same architectural question now facing design, copy, video and brand teams. The credentials carry weight in a creative-leadership audience. A Fellowship of the Royal Academy of Music, an Academy of Motion Picture Arts and Sciences Music Branch membership, and conducting all 205 national anthems for the London 2012 Olympics with the London Philharmonic Orchestra at Abbey Road are not transferable credentials. He has a track record of speaking to technology buyers, not music audiences. Keynotes for Ernst & Young, Deloitte, Google, Facebook, YouTube and Kyu Collective, and on stages including C2MTL, TTI Vanguard and Business Innovation Factory. He turns an abstract debate into a live demonstration. He performs and composes on stage using a six-string electric cello, which makes the argument about generative systems and human craft visible rather than theoretical. Biography highlights Founder and CEO of LifeScore, an AI adaptive music platform co-founded with Tom Gruber, co-creator of Siri at Apple; backed by Warner Music Group and Octopus Ventures. Fellow of the Royal Academy of Music, awarded as a lifetime recognition of services to music and education. Composer of more than 65 scores for film, television, gaming and theatre, including Detroit: Become Human (Sony), the Star Wars: The Force Awakens Comic Con trailer, Mercury 13 (Netflix), In the Shadow of the Moon and Meru. Conducted and arranged all 205 national anthems for the London 2012 Olympic winners’ ceremonies, recorded with the London Philharmonic Orchestra at Abbey Road Studios. Music director for the London handover at the 2008 Beijing Olympics closing ceremony; music producer for the Tour de France, Rugby World Cup and the COP21 Paris climate summit. Member of the Academy of Motion Picture Arts and Sciences, Music Branch (2017) and the Television Academy; author of Music Makes Your Child Smarter (Schirmer Trade Books). Biography LifeScore was incubated inside Abbey Road Studios for a reason. The company was set up to answer a question that now matters far beyond music. If a machine can generate plausible creative output on demand, what exactly is the human still meant to do? Philip Sheppard, a composer and Fellow of the Royal Academy of Music, co-founded the platform with Tom Gruber, co-creator of Siri at Apple, and now runs it as CEO. Warner Music Group and Octopus Ventures have backed it through an £11m funding round. The architecture of LifeScore is, in effect, the architecture of any serious human-AI creative system. Composers and musicians build the raw musical materials. The machine selects, layers, sequences and mixes them in real time around the listener’s environment. The output is generated, but the judgement, taste and craft that make it sound human are not. That is the model Sheppard now describes to technology and creative leaders trying to industrialise generative AI without losing what made their work recognisable in the first place. The credentials behind the argument are concrete. Sheppard has composed more than 65 scores for film, television and gaming, including Detroit: Become Human, the Mercury 13 documentary for Netflix and In the Shadow of the Moon. He conducted and arranged all 205 national anthems for the London 2012 Olympics with the London Philharmonic Orchestra at Abbey Road, and was music director for the London handover at the Beijing 2008 closing ceremony. He sits as a voting member of the Academy of Motion Picture Arts and Sciences and the Television Academy, and wrote Music Makes Your Child Smarter for Schirmer Trade Books. His keynote audiences are mostly outside the music industry. Ernst & Young, Deloitte, Google, Facebook, YouTube and Kyu Collective have all booked him, alongside stages such as C2MTL, TTI Vanguard and Business Innovation Factory. The reason is the same in each case. He is one of the few people who can speak about generative AI and creative work from the position of having shipped a company that does it, and a body of work that depends on it being done well. Key speaking topics Human-AI collaboration in creative work Generative AI and the future of creative industries Building an AI venture from inside a creative practice Music, data and adaptive systems Innovation and creativity as a managed discipline The role of craft in machine-augmented teams Ideal for Chief technology, AI and digital officers shaping how generative AI is deployed across creative, brand and design functions Chief marketing, brand and customer-experience leaders whose teams now produce content with generative tools Innovation, R&D and product leadership at media, entertainment, consumer and platform businesses Leadership offsites at technology, consulting and professional services firms looking for a credible voice on creativity and AI Audience outcomes A clearer account of what generative AI changes about creative production, and what it does not A working mental model for dividing labour between human judgement and machine generation in creative workflows Named examples of how an AI creative venture is actually built, funded and run, drawn from LifeScore’s own history A sharper sense of where craft and taste still differentiate a brand or product in a generative environment A live demonstration of human-machine creative collaboration through performance, not slides

Why organisations work with Philipp Kristian He treats trust as an operating variable in digital and AI transformation, not a soft cultural theme, and equips leaders with language to discuss it at board level. His thesis predates the current AI debate. The Trust Economy was published in 2017 and has since been translated into German by Springer Gabler, giving his framework a longer track record than most current AI-trust voices. He brings an Asia-anchored view of technology adoption, drawing on a decade of work with Fortune 500s in Singapore and across JAPAC, which most Western-based speakers in this space cannot offer. He has lectured inside INSEAD Executive Education, CEDEP, Singapore Management University, and Civil Service College Singapore, so executive audiences encounter material that has been pressure-tested with senior cohorts. Biography highlights Author of The Trust Economy (Marshall Cavendish, 2017) and RESET: Rethinking Our World And Creating A Different Future (World Scientific, 2021). German edition of The Trust Economy published by Springer Gabler in 2018. Faculty and lecturer engagements at INSEAD Executive Education, CEDEP, Singapore Management University, and Civil Service College Singapore. World Economic Forum Global Shaper, Kairos Society Fellow, and Leader of Tomorrow at the St Gallen Symposium. TEDx speaker, with keynote audiences including Meta, BCG, EY, Munich Re, Standard Chartered, Salesforce, LVMH, Microsoft, Deloitte, P&G, and Zillow. Based in Singapore, with a decade of innovation work across Asia for Fortune 500 corporations and high-growth scale-ups. Biography Trust is the part of digital transformation that the engineering plan does not solve. AI rollouts stall, data products fail to land, and customer adoption flattens for reasons that sit outside the technology stack. Philipp Kristian has spent more than a decade arguing that this is the real bottleneck, and that organisations need a strategy for it. His 2017 book The Trust Economy, published by Marshall Cavendish and later translated into German by Springer Gabler, set out an early framework for how digital businesses earn and lose trust at scale. RESET, published by World Scientific in 2021, extends the argument into the post-pandemic shift in how people relate to institutions, technology, and each other. The work has been refined inside executive classrooms. He has held faculty and lecturer engagements at INSEAD Executive Education, CEDEP, Singapore Management University, and the Civil Service College in Singapore, where the material is taught to senior public and private sector cohorts. The World Economic Forum named him a Global Shaper; the Kairos Society named him a Fellow; the St Gallen Symposium named him a Leader of Tomorrow. Based in Singapore, he brings a non-Western reading of how trust travels through markets, regulators, and customer bases that most boards no longer treat as peripheral. Keynote audiences include Meta, BCG, EY, Munich Re, Standard Chartered, Salesforce, LVMH, Microsoft, Deloitte, and Zillow. Key speaking topics Trust in AI and data systems Digital transformation and adoption Customer experience in digital businesses Future of work and human-technology collaboration Leadership in the digital economy Brand trust and reputation under technological change Ideal for Boards and executive committees overseeing AI, data, and digital transformation programmes CIO, CTO, CDO, and Chief Trust Officer functions working through adoption and governance questions CMO and customer experience leaders rebuilding brand credibility in digital channels Financial services, professional services, and regulated industries facing trust and reputation pressure from AI deployment Audience outcomes A working vocabulary for discussing trust as an operating asset in digital and AI strategy at board level A reading of why AI and data initiatives lose momentum at the adoption stage, with the levers leaders can use to keep them moving An Asia-anchored perspective on how trust is built and broken across regulators, customers, and employees in fast-digitising markets Specific examples drawn from a decade of innovation work with Fortune 500 corporations and scale-ups in Singapore and across JAPAC

Why organisations work with Philippe Dewost He has run digital transformation from inside the state. As director of a €4.25 billion programme at Caisse des Dépôts, he is one of the few practitioners who can speak to public capital, regulation, and operating execution as a single problem. He authored the 2013 report that produced La French Tech. Leaders briefing him on ecosystem strategy are talking to the person who designed one. He built LaBChain, the 27-partner blockchain consortium at Caisse des Dépôts, before most boards had a working vocabulary for distributed ledgers. His material on blockchain is mechanism-first, not hype. He has operated at every layer of the stack: co-founder of Wanadoo, CEO of a Cambridge startup acquired by Apple, head of Leonard at VINCI, director general of a French engineering school. The same person has shipped consumer products, sold technology to Apple, and built a national policy instrument. Biography highlights Co-founder of Wanadoo, France Telecom’s consumer internet service, which became Europe’s leading ISP at peak. Former CEO of imSense (Cambridge), the image-processing company acquired by Apple in 2010. Director of a €4.25 billion digital programme at Caisse des Dépôts under France’s Programme d’Investissements d’Avenir. Author of the 2013 report to the French Prime Minister that gave rise to La French Tech, announced in January 2014. Founder of LaBChain, a 27-partner blockchain R&D consortium led from Caisse des Dépôts. Director of Leonard, VINCI Group’s corporate innovation and foresight programme; led EPITA, the IT and cybersecurity engineering school; author of “De Mémoire Vive” (2022), preface by Cédric Villani. Biography Wanadoo was an internal France Telecom project in 1995 when Philippe Dewost helped build its product management. Four years later it was Europe’s leading internet service provider with over a million subscribers. That early experience set the pattern: technology only matters when it reaches operating scale and the institutions around it learn to govern it. After running imSense, the Cambridge image-processing company acquired by Apple in 2010, he joined Caisse des Dépôts in 2011 to direct a €4.25 billion digital investment package under France’s Programme d’Investissements d’Avenir. In 2013 he authored the report to the Prime Minister that became the design document for La French Tech, the initiative launched in January 2014 with €215 million of public funding. He then built LaBChain, a 27-partner blockchain consortium that became one of Europe’s earliest serious cross-sector experiments in distributed ledgers. At VINCI Group from 2017 he ran Leonard, the corporate innovation and foresight programme, leading exploration across autonomous vehicles, climate resilience, AI and four other long-horizon topics. The intrapreneurship engine he built there is now a reference model for other large corporates. From October 2021 he ran EPITA, the IONIS Group engineering school, focusing it on cybersecurity and on a presence at the cyber campus in La Défense. He is also Operating Partner at C4 Ventures, Pascal Cagni’s consumer high-tech fund, and sits on the board of agritech firm SunR. His 2022 book “De Mémoire Vive”, with a foreword by mathematician Cédric Villani, is a personal history of the digital revolution by someone who was inside several of its turning points. It was published with 42 unique NFT-numbered first editions, an editorial choice that says something about the author’s instinct for where the technology is going next. Key speaking topics Digital sovereignty Blockchain as institutional infrastructure Corporate innovation and intrapreneurship at scale Building national technology ecosystems Cybersecurity as a strategic capability Artificial intelligence in operating environments Smart cities and autonomous mobility The history and trajectory of the digital revolution Ideal for Board members and CEOs setting digital, AI or sovereignty strategy at a European scale CIOs, CTOs and Chief Innovation Officers moving from pilots into operating deployment Public sector leaders and policy teams designing ecosystem or industrial policy in technology Corporate venture and innovation leads building intrapreneurship and partnership engines Audience outcomes A working mental model of how digital ambition translates into operating capability, with named examples from French and European programmes. A clear-eyed read on blockchain as a coordination mechanism between institutions, not as a product category. A senior practitioner’s view of where corporate innovation programmes succeed and where they stall. A specific framing of digital sovereignty that boards can use to interrogate vendor, infrastructure and talent dependencies.

Why organisations work with Piers Linney He is running an AI-agent business while he speaks about one. Implement AI has rolled out managed digital workforces inside more than 120 UK companies, so the deployment patterns he describes are ones he is shipping. His finance and policy lens is unusual for an AI speaker. Former Non-Executive Director of the British Business Bank during the GBP 90 billion Covid loan programmes, with prior careers in M&A at Credit Suisse and venture capital. He has been on both sides of the cap table. Co-CEO of Outsourcery through AIM listing and administration, then Dragon on BBC Two’s Dragons’ Den, then investor and co-founder again. He is a credible voice on diversity and social mobility without using the word as a slogan. MBE 2026, European Diversity Champion 2024, founding trustee of the Powerlist Foundation. He works on stage in the register a senior buyer needs: operator, not analyst. Mainstage keynotes at Tech Show London, AI and Big Data World, DTX, ICAEW and Elite Business Live. Biography highlights Co-founder and Executive Chairman, Implement AI, winner of AI Startup of the Year (London), UK Startup Awards 2025. Investor on BBC Two’s Dragons’ Den, series 11 and 12, and subject of Channel 4’s The Secret Millionaire. Former Non-Executive Director, British Business Bank, appointed 2017. MBE, King’s New Year Honours 2026, for services to small business, entrepreneurship, banking, diversity and social mobility. Chairman and co-founder, Atherton Bikes, additive-manufactured mountain bikes used to win the 2023 UCI Downhill World Championships. Former Co-CEO of Outsourcery (AIM-listed cloud and communications business) and former Trustee of Nesta. Biography Implement AI now runs managed digital workforces inside more than 120 UK businesses, from manufacturers to marketing agencies. It is the latest company built by Piers Linney, who co-founded it in 2023 with Dr Aalok Shukla and serves as Executive Chairman. The work sits at the practical edge of the AI conversation: not whether to use it, but how to get agents into the operating model and measure what they return. That operator stance is reinforced by an unusually wide finance and policy track record. Linney trained as a solicitor at SJ Berwin, moved into M&A investment banking at Credit Suisse, then ran the buyout that became Outsourcery, taking the cloud and communications business onto AIM in 2013 in a GBP 13 million flotation. He was later appointed Non-Executive Director of the British Business Bank, where he sat through the design of the UK government’s Covid SME loan programmes. Audiences know him from Dragons’ Den, where he invested as a Dragon for series 11 and 12, and from Channel 4’s The Secret Millionaire. He chairs Atherton Bikes, the additive-manufactured mountain bike maker whose frames carried Atherton siblings to UCI Downhill World Championship titles in 2023. He sits on Sky’s Diversity Advisory Council and was a founding trustee of the Powerlist Foundation. The MBE in the 2026 New Year Honours captured the through-line: small business, entrepreneurship, banking, diversity and social mobility. For boards trying to convert AI ambition into deployed capability, the value he brings is the rare combination of someone who has built and sold a tech business, sat on the board of a development bank, picked winners on national television, and is now shipping an AI-agent platform. Key speaking topics Artificial intelligence and the digital workforce AI agent deployment and operating model redesign Entrepreneurship and scaling technology businesses Future of work and workforce transformation Access to capital and SME financing Diversity, social mobility and inclusion in business Ideal for Boards and executive committees moving from AI pilots to deployed agent capability. CEOs, COOs and transformation leads redesigning operations around digital workers. Entrepreneur and scale-up audiences, including investor networks and chamber of commerce events. CHROs and learning leaders preparing workforces for AI-augmented roles. Audience outcomes A working picture of what an AI-agent operating model looks like, with concrete examples from live deployments. Sharper questions for vendors, internal teams and investors about where AI does and does not pay back. A perspective on the capital environment shaping technology investment, drawn from a former development-bank director. Confidence in framing AI as an operating decision, not an IT project.

Why organisations work with Purna Virji At Microsoft and LinkedIn she worked the commercialization layer for emerging AI, shaping the strategy and market narratives that decide whether a new capability reaches and convinces a market. She speaks to the gap between what a product can do and what customers adopt from direct operating experience, not observation. She gives executive teams a way to measure AI by business outcomes rather than activity, replacing “time saved” and tokens used with quality lift, scope growth, and capability unlock, the language finance and boards will fund. Her Agent-Led Growth work maps a shift most leaders have not yet priced in: customers delegating discovery and purchase decisions to AI agents, and what that does to how brands get found and trusted. She wrote the award-winning High-Impact Content Marketing (Kogan Page), recognised as a Choice Outstanding Academic Title, which grounds her credibility in published, peer-recognised work rather than conference reputation alone. Biography highlights More than a decade across Microsoft and LinkedIn in AI commercialization, go-to-market, and customer engagement, including Senior Manager of Global Engagement at Microsoft and Principal Consultant, Content Solutions at LinkedIn. Author of High-Impact Content Marketing (Kogan Page, 2023), a Choice Reviews Outstanding Academic Title (2024) and Goody Business Book Award winner. Creator of the Agent-Led Growth newsletter, publishing original frameworks on agentic commerce, AI adoption, and trust as a ranking factor. Named the #1 Most Influential PPC Expert in the World (PPC Hero, 2016), an Adweek Young Influential (2018), and Search Personality of the Year (US Search Awards). Honoured Listee, Marquis Who’s Who in America (2023). Has keynoted in more than 20 countries; work featured in Adweek, The Drum, TNW, Search Engine Land, and Search Engine Journal. Biography Most AI initiatives do not fail in the lab. They fail in the gap between a working model and a customer who changes nothing about how they work. Purna Virji has spent her career inside that gap, at the point where AI commercialization, go-to-market strategy, and customer behaviour meet. That vantage point is unusual. She spent more than a decade at Microsoft and LinkedIn in commercialization and go-to-market work, latterly focused on emerging AI, where she shaped the strategy and market narratives that decide whether a new capability earns trust and gets adopted. She has seen the failure modes up close, from unclear value to a customer journey that asks too much too soon. Her published work carries the same argument. High-Impact Content Marketing (Kogan Page) was named a Choice Reviews Outstanding Academic Title, and her Agent-Led Growth newsletter tracks the next shift: customers handing discovery, comparison, and purchase decisions to AI agents acting on their behalf. The implication for brands is direct. Influence moves from catching a person’s eye to earning an agent’s confidence. What she brings to a leadership audience is a way to argue about AI in board language. She reframes success away from time saved and tasks completed toward quality lift, scope growth, and capability unlock, the outcomes that survive a finance review. Her Agent-Led Growth research names the real blocker directly: the Delegation Gap, the distance between what AI can technically do and what people are ready to hand over. For executives funding AI and seeing experimentation rather than impact, closing that gap is the work. Key speaking topics AI commercialization and adoption Agentic commerce and AI-led customer journeys Measuring AI business impact and ROI Go-to-market strategy for AI products Trust, discovery, and brand visibility in the AI era AI-driven sameness and competitive differentiation Ideal for Executive teams and boards funding AI initiatives and asking what return they are getting AI transformation leads, CTOs, and product leaders moving from pilot to deployment CMOs and revenue leaders facing the shift to agent-led discovery and commerce Enterprise B2B and SaaS organisations whose growth depends on AI adoption by customers Audience outcomes A framework for tying AI initiatives to outcomes a board will fund: quality lift, scope growth, capability unlock, rather than activity metrics. A clear picture of how agent-led customer journeys change discovery, trust, and where buying influence sits. A diagnosis of why specific AI initiatives stall at the pilot stage, and where the product-to-market handoff breaks. A way to spot where AI-driven sameness enters content and customer experience, and how to design for differentiation from the start.

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 Rahaf Harfoush Her work is anthropological, not predictive. It is grounded in fieldwork, behavioural research, and fifteen years of watching what technology does to the people who use it. That matters when leadership teams have already absorbed every version of the AI hype cycle and want something more durable. Her positions on AI move with the research, because the research is hers. What she takes into a boardroom in 2026 is not what she said in 2024, and the next book she is writing on humane productivity in the age of AI is shaping her current thinking in real time. She works across the full institutional range. The same questions she takes into board conversations on AI strategy show up in her policy work at the UN, her research at Oxford and Cambridge, and her teaching at Sciences Po. That range means she can speak credibly to executives, regulators, and creative teams in the same week. The Decoded Company thesis; that organisations should apply the same analytical rigour to understanding their talent as they apply to understanding their customers, gives CHROs and people strategy teams a precise, data-grounded argument for workforce intelligence. She brings an active body of work. The Decoded Company was a New York Times bestseller, Hustle & Float set the structural argument on productivity and creative work, a fourth book on humane productivity in the age of AI is in progress, and her weekly newsletter and original research mean she arrives at every engagement with new material rather than a fixed deck. Biography highlights Executive Director, Red Thread Institute of Digital Culture; former Associate Director, Technology Pioneer Programme, World Economic Forum, Geneva Member, UN Secretary-General’s High-Level Advisory Body on Artificial Intelligence; member, France’s National Digital Council; served on President Macron’s “Enlightenment in the Digital Age” commission on AI and democracy Visiting Policy Fellow, Oxford Internet Institute; Research Affiliate, Minderoo Centre for Technology and Democracy, University of Cambridge Author of Hustle & Float (2019); co-author of The Decoded Company (New York Times and USA Today bestseller; 2015 Gold Axiom Award for Best Business Technology Book) Named to the Thinkers50 2025 ranking; shortlisted for the Thinkers50 Innovation Award (2021); writing featured in Harvard Business Review, Wired, Financial Times, and Fast Company Faculty at Sciences Po’s School of Management and Innovation, Paris, teaching “Innovation and Emerging Business Models” Biography For the past fifteen years, the same question has run through her work. What happens to human beings when the systems they work and live inside change faster than their ability to absorb the change? That question has taken her into the early Obama campaign, the World Economic Forum, the UN, the Oxford Internet Institute, and the boardrooms of some of the largest companies in the world. The pattern she keeps finding is the same. The technology gets the attention. The behavioural and cultural consequences get ignored until they show up as a problem no one can solve with another tool. Her first book, Yes We Did, documented the digital infrastructure behind the 2008 Obama campaign from inside the war room. Her second, The Decoded Company (co-authored, and a New York Times and USA Today bestseller), argued that organisations apply rigorous analytics to their customers and intuition to their people, and pay for that mismatch in every retention number. Her third, Hustle and Float, made the case that the conflict between productivity culture and creative work is older than any of the tools we blame for it, and cannot be solved by another wellness programme. Her current research focuses on AI’s impact on human cognition and learning. This is the territory where the most urgent questions are being asked, and where the gap between what the technology can do and what organisations actually need is widest. She is writing about it, teaching about it at Sciences Po, advising on it at the UN, and bringing what she finds onto the stage as it develops. She holds research affiliations with the Oxford Internet Institute and Cambridge’s Minderoo Centre for Technology and Democracy. She served on President Macron’s “Enlightenment in the Digital Age” commission and on France’s National Digital Council. Her work has been featured in the Harvard Business Review, Wired, the Financial Times, and Fast Company. She was named to the Thinkers50 2025 ranking and shortlisted for the Thinkers50 Innovation Award in 2021. Key speaking topics Digital culture and organisational behaviour Artificial intelligence governance and ethics The future of creative and knowledge work Human-centred AI strategy Innovation and emerging business models Leadership in technological disruption Data intelligence and talent strategy Ideal for C-suite leadership teams who want to think clearly about AI before committing to a strategy they will have to defend in eighteen months CHROs and people leaders facing the talent, learning, and creative-performance consequences of AI adoption Government, regulatory, and policy audiences working on AI governance and digital policy Innovation, foresight, and strategy functions in technology-intensive and creative industries Audience outcomes A working framework for understanding what AI is actually doing to the people in your organization, beyond productivity metrics Language for the cultural and cognitive shifts your leaders are already sensing but have not been able to name A clearer position on AI governance, grounded in research and lived policy experience at the UN and national level A sharper read on the gap between what your technology strategy assumes and what your people are experiencing

Why organisations work with Ramy Nassar He brings a published, structured method for AI product design from idea to launch, set out in the AI Product Design Handbook and used by enterprise teams who need a repeatable process rather than another inspiration deck. He has run innovation inside Mattel and led design and strategy at Architech for Apple, Air Canada, CIBC, Facebook and Rogers, so the operational reality of shipping new products inside large organisations is in the room. His work separates “AI Now, Next and Never,” giving boards a defensible position on what to deploy, what to wait on, and where to draw governance lines. He teaches design thinking and innovation at McMaster University and Toronto Metropolitan University, and executive programmes at Schulich ExecEd, which keeps the frameworks tested against working leaders. Client engagements span Apple, TD Bank, TELUS, Verizon, New Balance and the Government of Canada, covering both regulated and consumer environments. Biography highlights Author, AI Product Design Handbook, and the forthcoming The World After AI (early 2027) Former Head of Innovation, Mattel, where he launched the company’s first innovation lab Former Managing Director, Design and Strategy, Architech Founder, 1000 Days Out, advisory practice on AI and emerging technology Faculty: McMaster University, Toronto Metropolitan University, the Norwegian University of Science and Technology, Schulich ExecEd at York University Featured by CPA Canada at The ONE national conference; speaker at FITC, IxDA, FWD50 and World Usability Congress Biography Most AI projects inside large organisations have the same shape. A pilot ships, attention moves on, and the operating model does not change. Boards then have to decide whether the next round of spend should go into more experiments or into the harder work of getting AI into the product and into the workflow. That is the decision Ramy Nassar is built to inform. The AI Product Design Handbook sets out a repeatable process for taking AI products from idea to launch, with explicit attention to user trust, transparency and governance. It is used by product and design leaders who need a method, not a manifesto. The argument is grounded in his time as Head of Innovation at Mattel, where he launched the company’s first innovation lab and led emerging-technology work for Barbie and Hot Wheels, and earlier as Managing Director of Design and Strategy at Architech, where he ran client work for Apple, Air Canada, CIBC, Facebook and Rogers. Through 1000 Days Out he advises senior teams at Apple, TD Bank, TELUS, Verizon, New Balance and the Government of Canada on AI adoption, strategic foresight, and product strategy. His forthcoming book, The World After AI, extends that foresight work, with the argument that the decisive variable in any AI future is the set of choices leaders make, not the technology itself. His framing of “AI Now, Next and Never” is built for boards that need to commit capital and set governance lines at the same time. Faculty roles at McMaster University, Toronto Metropolitan University, the Norwegian University of Science and Technology, and Schulich ExecEd at York University keep the frameworks tested against working executives. CPA Canada featured him at The ONE national conference on turning insights into measurable impact, and his international speaking includes FITC, IxDA, FWD50, and the World Usability Congress. Key speaking topics Artificial intelligence adoption and product design Responsible AI and governance Strategic foresight and scenario planning Innovation strategy Emerging technology and exponential change Digital product and customer experience design Ideal for Boards and C-suite teams setting AI investment and governance policy Chief Product Officers, Chief Design Officers and Chief Innovation Officers moving from pilots to deployed AI Heads of Strategy and corporate development running scenario planning under technology uncertainty Public-sector leaders shaping responsible AI policy and procurement Audience outcomes A defensible “now, next, never” view of where to deploy AI, where to wait, and where to refuse A structured method for taking AI features from concept to launch with governance built in Sharper foresight tools for testing strategy against multiple long-range scenarios Concrete language for communicating AI risk, ethics and product trade-offs to non-technical executives and customers

Why organisations work with Rasmus Hougaard He runs one of the largest applied research programmes on senior leadership behaviour, with data on more than 75,000 leaders in over 100 countries through Potential Project, which gives his content a defensibility most leadership speakers cannot match. Three Harvard Business Review Press books form a single argument, mindfulness, compassion, and AI-augmented leadership, which means a client can build a multi-year leadership curriculum around one coherent thesis rather than a single talk. His “compassionate leadership” framework gives executives a usable language for difficult conversations, restructures, and performance decisions, which is exactly the territory where senior people most often damage their credibility. Potential Project has long-running operating relationships with Microsoft, Accenture, IKEA, Cisco, Nike, Roche, and others, so the content has been pressure-tested inside large complex organisations, not just on the conference circuit. Thinkers50 shortlisting for the Leadership Award places him in the small set of leadership thinkers whose work is taken seriously by senior HR and people-development functions globally. Biography highlights Founder and Managing Director of Potential Project, a global leadership development and research firm working with Microsoft, Accenture, IKEA, Cisco, Nike, Roche, Google, and Sony among others. Co-author of three Harvard Business Review Press books: “The Mind of the Leader”, “Compassionate Leadership”, and “More Human: How the Power of AI Can Transform the Way You Lead”. Shortlisted for the Thinkers50 Leadership Award and named by Thinkers50 among the most important emerging leadership thinkers. Regular contributor to Harvard Business Review, Forbes, Fortune, and Business Insider. Research base of more than 75,000 leaders across 100+ countries underpins his frameworks and talks. Has delivered more than 1,500 keynotes and workshops to senior leadership audiences globally. Biography Most leadership development goes wrong at the same point. It treats the hard part of leadership, the decision that will upset someone, the conversation the leader has been avoiding, the moment of public pressure, as a communications problem. Potential Project, the firm Rasmus Hougaard founded and runs as Managing Director, has spent more than a decade arguing that it is an inner-discipline problem, and producing the research to show it. The argument runs through three Harvard Business Review Press books written with Jacqueline Carter. “The Mind of the Leader” drew on data from around 35,000 senior leaders to identify the mental qualities that distinguish those whose organisations actually follow them. “Compassionate Leadership” reframed the executive’s most uncomfortable moments, performance conversations, redundancies, restructure announcements, as a question of how to be honest without becoming cold. “More Human”, published by HBR Press in 2025, takes the same lens to AI and asks what leaders should do more of, not less, as machines take on more of the work. Potential Project’s client list, Microsoft, Accenture, IKEA, Cisco, Nike, Roche, Google, Sony, and others, gives the work an operating substance that pure-academic leadership thinkers rarely match. The firm’s research spans more than 75,000 leaders across 100 countries. Thinkers50 has shortlisted him for its Leadership Award and listed him among the most important emerging leadership thinkers globally, and he contributes regularly to Harvard Business Review, Forbes, Fortune, and Business Insider. For a senior people function under pressure to make leadership development do real work in a fatigued organisation, the value is in the through-line. One firm, one body of evidence, one argument about what serious leadership requires in 2026, and a deep enough catalogue to anchor a multi-year programme rather than a single keynote. Key speaking topics Compassionate leadership and difficult conversations AI-augmented leadership Mindful leadership and executive composure Senior leadership development at scale Leading hybrid and distributed teams Culture and trust inside large organisations Ideal for CHROs and chief people officers redesigning senior leadership programmes Executive committees facing restructure, redundancy, or post-acquisition integration Boards and CEOs sponsoring AI rollouts where leadership behaviour, not technology, is the bottleneck Heads of leadership development and learning at global enterprises Audience outcomes A defensible model for handling the conversations leaders most often avoid Concrete practices for sustaining composure and judgement under sustained pressure A clearer view of where AI should and should not replace human leadership work Language to describe what “good leadership” actually looks like in their organisation, grounded in research rather than slogans Reference points from a peer set of global enterprises that have implemented the work

Why organisations work with Ravin Jesuthasan He gives boards and executive teams an actual blueprint for moving from jobs to skills, not a slide about why it matters. The Work Without Jobs framework, developed with John Boudreau, is the reference text on the subject and is taught inside MIT Sloan and Kellogg. His day job is doing this work. As Mercer’s Global Leader of Transformation Services, he advises some of the largest employers in the world on workforce redesign, so the keynote is built on live engagements, not theory. He sits where AI, automation and human capital actually intersect. His four-step framework for applying automation to work, from Reinventing Jobs, has become a standard tool for HR and operations leaders trying to decide what to automate, what to augment, and what to leave alone. He brings institutional authority that buyers can verify. World Economic Forum Steering Committee on Work and Employment, Thinkers50 Radar, FT Book of the Month, fifteen pieces in HBR and MIT Sloan Management Review. His material is built for the CHRO and the CEO in the same room. Many future-of-work speakers pitch to one or the other. He frames the work redesign question as a board-level operating decision, which is how it now needs to be sold internally. Biography highlights Global Leader of Transformation Services at Mercer. Executive Fellow and Adjunct Lecturer of Executive Education, Kellogg School of Management, Northwestern University. Author of five books including Work Without Jobs (MIT Press, 2022) and The Skills-Powered Organization (MIT Press, 2024). Wall Street Journal bestseller; Financial Times Book of the Month, October 2024. Thinkers50 Radar Class of 2020; shortlisted for the Thinkers50 Talent Award 2023. World Economic Forum Steering Committee member on Work and Employment. Over 200 published articles, including 15 in Harvard Business Review and MIT Sloan Management Review; regular Forbes contributor. CFA charterholder and Fellow of the Royal Society of Arts (FRSA). Biography The job, as a unit of organisational architecture, is starting to look obsolete. Roles are static, skills inside them decay in months rather than years, and AI is now capable of doing chunks of work that used to define entire functions. Most large employers know this. Very few know what to replace the jobs-based model with. This is the territory Ravin Jesuthasan has spent two decades mapping. As Global Leader of Transformation Services at Mercer, he advises multinational employers on how to rebuild their workforce architecture around skills and tasks rather than fixed job descriptions. The same body of work runs through Work Without Jobs, written with John Boudreau and published by MIT Press in 2022, and its 2024 follow-up, The Skills-Powered Organization, written with Tanuj Kapilashrami and named Financial Times Book of the Month in October 2024. The institutional credentials match the intellectual claim. He sits on the World Economic Forum’s Steering Committee on Work and Employment, holds an Executive Fellow and Adjunct Lecturer appointment at the Kellogg School of Management, and was named to the Thinkers50 Radar Class of 2020 before being shortlisted for the Thinkers50 Talent Award in 2023. He has written more than 200 articles, including fifteen pieces for Harvard Business Review and MIT Sloan Management Review, and contributes regularly to Forbes. For boards now being asked how AI will reshape headcount, productivity and capability, his contribution is not a forecast. It is an operating model: a structured way of deciding what work gets deconstructed, which tasks get automated or augmented, and how the organisation acquires the skills it will actually need next year, not the jobs it posted last year. Key speaking topics The skills-powered organisation Reinventing jobs through automation and AI The future of work and the work operating system Workforce transformation and human capital strategy Human-AI collaboration in the enterprise The future of the Chief People Officer role Sustainable digital transformation Ideal for CHROs and Chief People Officers rebuilding the workforce model around skills and AI. CEOs and boards making capital-level decisions on AI, automation and headcount. Transformation, operations and strategy leaders responsible for redesigning how work gets done. Executive teams preparing for skills-based talent markets and post-jobs operating models. Audience outcomes A working definition of the skills-powered organisation and how it differs from a jobs-based model. A four-step method for deciding what to automate, what to augment, and what to leave to humans. A board-ready argument for treating work design as a strategic operating decision, not an HR programme. Specific case examples from global employers already deconstructing jobs into tasks and skills.