Artificial Intelligence & Generative AI

Why organisations work with Dror Gill Coaches leadership teams through the practical decisions of generative AI adoption: tool selection across ChatGPT, Copilot, Gemini, and Claude, prompt design, hallucination control, and workflow redesign for real business processes. Brings engineering credibility most generative AI speakers cannot match: 37 granted patents, a 2021 Technology and Engineering Emmy for perceptual video encoding at Beamr, and three decades inside companies shipping production technology. Runs hands-on workshops, not lecture sets. Executives leave with prompts, chatbots, and analyses they built themselves during the session. Demonstrates what is possible at the frontier with live builds, including a signature session in which he creates a startup from scratch using ChatGPT alone, covering ideation, business model, investor deck, and go-to-market. Updates his material continuously. The pace of model and tooling change makes most static keynote decks stale within months; he rebuilds against the current state of the field. Biography highlights 2021 Technology and Engineering Emmy Award (National Academy of Television Arts and Sciences) for content-adaptive video encoding at Beamr. Co-inventor on 37 granted patents in video and image processing. First employee and long-serving CTO, VP Product, and VP Marketing at Beamr (NASDAQ: BMR). IBM Research Lab in the mid-1990s, pioneering media streaming and voice-over-IP, including collaboration with Sun Microsystems on the Java Media Framework. Founder of Gamdala, a generative AI consultancy advising executives on adoption, prompt engineering, and workflow integration. B.Sc. Electrical Engineering, Technion – Israel Institute of Technology. Speaking engagements at DLD Munich, AI Global Summit Italy, IBM, Samsung, Microsoft for Startups, and Amdocs. Biography The current generative AI conversation inside most companies sits between two failure modes. Either the technology is treated as a productivity gimmick to be tolerated, or it is over-promised as a strategy in itself. Neither produces operating advantage. The work of turning general-purpose models into specific, repeatable improvements in how a business actually functions sits in between. That work needs someone fluent in both the underlying technology and the practical question of what executives can do on Monday. Dror Gill is that profile. He spent three decades inside companies shipping production technology, most recently as the long-serving CTO of Beamr (NASDAQ: BMR), where he led the development of the perceptual video encoding technology that won the 2021 Technology and Engineering Emmy. He is a co-inventor on 37 granted patents. Earlier, he was at IBM Research in the mid-1990s pioneering streaming over IP and voice-over-IP, and at Emblaze Semiconductor chairing the Wireless Multimedia Forum. Today he runs Gamdala, a generative AI consultancy. The shift is consistent: he is again working at the frontier of a general-purpose technology, only now the audience is executives rather than engineers. His sessions are workshop-led. Participants leave having built prompts, chatbots, and analyses themselves. His signature live build creates a startup from scratch using ChatGPT alone, covering ideation, business model, investor deck, and go-to-market inside a single session. What makes his keynote work uncommon is the engineering pedigree behind the executive coaching. He has shipped the kind of technology he now teaches leaders to deploy. The Technion degree, the Emmy, and the patent record are not credentials worn for show. They are the reason the operating advice translates. Key speaking topics Generative AI adoption for executives Prompt engineering and hallucination control ChatGPT, Copilot, Gemini, and Claude in business workflows Generative AI for product, marketing, and operations AI in education and corporate learning Live demonstrations of generative AI for business creation Workflow redesign around large language models Ideal for CEOs, COOs, and executive committees seeking to move generative AI from pilots to operating use. CHROs and learning and development leaders designing AI fluency programmes for senior managers. Product and engineering leadership teams evaluating where to embed generative AI in customer-facing and internal workflows. Founders, investors, and innovation teams who want a working understanding of the current state of the tools, not last year’s. Audience outcomes A clearer view of which generative AI tools fit which business problems, and where each one breaks. Practical prompt patterns participants use in their own work the same week. A working sense of how to control hallucination, including chain-of-thought prompting and verification techniques. Awareness of what is now possible end-to-end with generative AI, demonstrated live rather than described in slides. Confidence to lead an organisational conversation on generative AI adoption without needing a translator.

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 Hubertus Porschen He speaks to mid-market boards from inside the same world. As the elected federal chairman of Die Jungen Unternehmer from 2015 to 2018, he represented Germany’s young Mittelstand owners directly to policymakers and to ASU/Die Familienunternehmer. He has built and run digital businesses, not just advised on them. App-Arena and iConsultants give him a working vocabulary for what actually breaks when a traditional company tries to digitise a business model. His book Digitaler Suizid frames digital inertia as an existential risk to German firms, an argument that lands with audiences who have heard the optimistic version too often. He works in German and English with equal credibility, which matters for groups whose senior leadership sits across DACH and the wider European market. Biography highlights Federal Chairman, Die Jungen Unternehmer (BJU), 2015 to 2018, the young-entrepreneurs body within the ASU/Die Familienunternehmer association. Doctorate in economics, University of Marburg, with a dissertation on the academic entrepreneur. Author of Digitaler Suizid, on the digitalisation gap in the German economy. Founder and operator of multiple digital ventures including App-Arena GmbH; partner at iConsultants GmbH. Lecturer at Niederrhein University of Applied Sciences and the University of Cologne. Listed in Top 100 Speakers Excellence 2026 by Speakers Excellence. Biography The German Mittelstand is one of the most successful industrial structures in Europe. It is also one of the slowest to absorb new technology. That tension defines the working subject matter of Hubertus Porschen. He spent three years, from 2015 to 2018, as federal chairman of Die Jungen Unternehmer, the young-entrepreneurs wing of the ASU/Die Familienunternehmer association. The role put him in regular contact with policymakers in Berlin and with several thousand owner-managers running mid-sized German firms. The work that followed, as a speaker and as a founder, builds directly on that constituency. His operating experience is the second pillar. App-Arena, an online marketplace for social media applications, and iConsultants, a digital advisory practice, gave him direct exposure to the gap between digital strategy decks and the messy reality of changing how a 150-person company actually works. His book Digitaler Suizid develops the argument: German firms that treat digitisation as a marketing project rather than an operating one are quietly removing themselves from their own future. Today his keynote work concentrates on artificial intelligence: specifically the question of how a board moves from “AI-interested” to “AI-ready” without paralysing the operating business in the process. He lectures at Niederrhein University of Applied Sciences and the University of Cologne, holds a doctorate from the University of Marburg, and is listed in Speakers Excellence’s Top 100 for 2026. Key speaking topics Artificial intelligence in mid-market operations Digital transformation in family-owned and Mittelstand businesses Entrepreneurship and founder leadership Innovation and disruption in traditional industries Change management across generational workforces Digital business model design Ideal for Boards and executive teams of family-owned and Mittelstand firms in DACH CEOs, COOs and digital leaders confronting an AI adoption gap Industry associations and chambers of commerce convening member firms Founder networks and entrepreneurship programmes in German-speaking markets Audience outcomes A clearer sense of where their organisation sits on the line between AI-interested and AI-ready A working argument for why digital inertia is a strategic, not operational, risk Specific examples of how German mid-market companies have moved digital initiatives out of pilot Vocabulary to talk to a sceptical board about AI without leaning on vendor language

Why organisations work with Ian Khan He gives executive teams a diagnostic rather than a forecast. The Future Readiness Score, built from his research across hundreds of organisations, turns “are we ready for AI” into a scored view across seven operating pillars. His writing carries commercial weight. Undisrupted won the Bronze Medal at the 2025 North American Book Awards and the Non-Fiction category at the Goody Business Book Awards 2025; Metaverse For Dummies is a Wiley title. He reports on the future as a working journalist, not only a consultant. As executive producer and host of The Futurist on Amazon Prime Video, he has interviewed hundreds of global leaders on the record, which keeps his keynote content closer to evidence than to speculation. He separates AI hype from AI advantage in front of technical and non-technical rooms. His AIRS assessment gives boards a common language for where they sit on vision, use cases, data, governance, and adoption. Biography highlights USA Today bestselling author of Undisrupted, which introduces the Future Readiness Score across seven organisational pillars. Author of Metaverse For Dummies, published by Wiley. Executive producer and host of The Futurist, a streaming series on Amazon Prime Video across more than 45 regions. Director of the documentary Blockchain City and producer of additional films on AI and the future of work. Thinkers50 Future Readiness Award finalist and Thinkers360 Distinguished honoree. Media contributor and on-record commentator featured by CNN and Forbes. Biography Most AI strategy conversations stall at the same point. The executive team agrees the technology matters. Nobody can agree on what to do on Monday. Khan’s contribution is a working answer to that problem, built from research across hundreds of organisations and codified in his book Undisrupted and the Future Readiness Score that sits inside it. The Score moves the question from opinion to diagnostic. It measures an organisation across seven pillars, including engagement, learning, collaboration, culture, innovation, and execution, and returns a prioritised picture of where readiness is thin. His AIRS framework does the equivalent for AI specifically, covering vision, use cases, data, governance, and adoption. Boards use both as a shared map before they approve the next investment. Khan works across the commercial and editorial sides of technology. He is the author of Metaverse For Dummies, published by Wiley, and of additional titles on prompt engineering and value creation. As executive producer and host of The Futurist on Amazon Prime Video, he has interviewed hundreds of founders, scientists, and policy leaders on the record. Commentary work with CNN and Forbes sits alongside that. His keynote practice reflects that dual background. Audiences get a filmmaker’s feel for narrative and a consultant’s insistence on instrumentation, applied to the decisions leadership teams are actually trying to make about AI, automation, and emerging technology. Key speaking topics Artificial intelligence and generative AI strategy Future readiness and organisational diagnostics Digital transformation and enterprise technology adoption Emerging technology and disruption AI governance and responsible deployment Leadership in an AI-driven operating environment Ideal for CEOs, CIOs, and CTOs sponsoring AI strategy across business units Boards and executive committees setting technology investment priorities Transformation and digital leaders responsible for moving pilots into production Government and public-sector leaders assessing AI readiness and governance Audience outcomes A shared vocabulary for assessing where the organisation actually stands on AI and digital readiness. A prioritised view of which technology bets are worth compounding and which to retire. Sharper criteria for AI governance decisions, from data to adoption. Concrete patterns drawn from hundreds of documented executive interviews, not abstract predictions.

Why organisations work with Freddy Wexler A working hit-maker, not a commentator. Ten Billboard number ones with Justin Bieber, Ariana Grande, Post Malone, BLACKPINK and others give him a verifiable claim on how popular taste actually moves. The Billy Joel case study. Coaxing a thirty-year creative silence into a Grammy-stage single, including the full marketing rollout and an AI-directed music video, is a rare example of cultural reactivation that buyers can study end to end. Talent identification with a track record. Wexler scouted and pitched Stefani Germanotta as a future Madonna while she was still unsigned, and signed Rachel Platten before “Fight Song”. Useful for audiences thinking about how to spot signal early. A view on AI and creative work shaped by shipping product. The “Turn the Lights Back On” video was a Webby-winning AI-led production, which gives him a practitioner’s read on where machine generation helps and where it does not. Commercial track record across formats. Founder of The Brain Music with joint ventures involving Disney, Scooter Braun Projects, Warner Chappell and Prescription Songs, plus a first-look television deal with Disney. Biography highlights Grammy-nominated songwriter and producer with ten Billboard number one contributions Co-writer and producer of Billy Joel’s “Turn the Lights Back On” (Columbia Records, 2024), the artist’s first new pop single in roughly thirty years Album of the Year Grammy nomination for Justin Bieber’s Justice (2022); credited contributor on Laufey’s Bewitched, a 2024 Grammy-winning album Co-wrote “Stuck with U” by Justin Bieber and Ariana Grande, a Billboard Hot 100 number one that raised over five million dollars for first responders’ families Founder of The Brain Music, with joint ventures involving Disney, Scooter Braun Projects, Warner Chappell and Prescription Songs; first-look television deal with Disney Webby Award (2024) for direction of the AI-led “Turn the Lights Back On” music video; Golden Globe nomination for “Forbidden Road” from the Robbie Williams biopic Better Man Biography Billy Joel had not released a new pop single for thirty years when “Turn the Lights Back On” arrived in February 2024 on Columbia Records. The song was co-written and produced by Freddy Wexler, who spent more than a year developing the material with Joel from a CD of unfinished sketches. The track debuted at number one on classic hits and classic rock radio, picked up a Grammy-stage performance, and was packaged with an AI-directed music video that later won a Webby. As a worked example of how a dormant creative voice gets reactivated and brought back to market, it is unusually complete. That collaboration sits inside a longer hit-making record. Wexler has ten Billboard number one contributions and Grammy nominations across three consecutive years, including Album of the Year for Justin Bieber’s Justice and contributor credit on Laufey’s Bewitched. He co-wrote “Stuck with U” for Justin Bieber and Ariana Grande, a Hot 100 number one that raised more than five million dollars for first responders’ families during the early pandemic. His writing and production credits span Post Malone, BLACKPINK, Selena Gomez, Halsey, Diana Ross and Celine Dion. He is also a builder of companies. The Brain Music, founded in 2012, runs joint ventures with Disney, Scooter Braun Projects, Warner Chappell and Prescription Songs. The Freddy Wexler Company holds a first-look television deal with Disney and a slate spanning Nickelodeon’s Kid Cowboy, a Broadway production of The Last Five Years, and a Hulu special with Sebastian Maniscalco. The Variety Family Entertainment Impact Report has recognised the operation. For organisations, the relevant point is access to a practitioner who can describe how a cultural moment actually gets made, including the writing room, the artist relationship, the rollout, and the use of AI in production. Few speakers on creativity can point to a specific commercial artefact and walk a senior audience through the craft behind it. Wexler can. Key speaking topics Creativity as a working practice Storytelling across music, film and brand AI in creative production and music video direction Talent identification and early-signal spotting Cultural moments and the commercial rollout behind them Resilience and creative reinvention Philanthropy embedded in creative product Ideal for Marketing, brand and CMO leadership teams thinking about cultural relevance Creative and content function heads inside media, entertainment and consumer companies Innovation and product groups exploring AI-assisted creative production Senior offsites and leadership conferences looking for a practitioner perspective on craft Audience outcomes A working framework for how cultural moments are constructed, drawn from a specific recent case A practitioner’s read on AI in creative production, anchored in a Webby-winning video A more concrete sense of what early signal looks like in talent and ideas, before they are obvious Reference points from a hit-making catalogue that audiences can apply to their own creative briefs

Why organisations work with Jay Tuck He has reported on AI from inside the places it matters most: Ukrainian battlefields, US carrier decks, intelligence agencies, and the trading floors AI has effectively emptied. The talk lands as field reporting, not theory. His book Evolution ohne uns sold widely enough in Germany that the Bundeswehr bought 10,000 copies to put in front of its officers. The German defence establishment treats his framing as a serious internal reference, not bureau copy. He carries 35 years of ARD investigative reporting and a TEDxHamburgSalon talk past five million views. Audiences arrive already knowing the argument, which raises the floor on the room. He is fluent on AI risk in language that translates: what a generative model actually decides, where the human is no longer in the loop, and what a bank or hospital board can still control. Biography highlights 35 years at ARD German Television, including Executive Producer of the flagship nightly news programme ARD-Tagesthemen. Author of High-Tech Espionage (St. Martin’s Press), published in 14 countries. Author of Evolution ohne uns (Plassen Verlag), a German technology bestseller; the German Ministry of Defence acquired 10,000 copies for its armed forces. Author of KI und der moderne Krieg (Econ Verlag) on battlefield AI in the Ukraine war. War correspondent in Kuwait, Iraq, and Ukraine; embedded aboard USS Truman. TEDxHamburgSalon talk “Artificial Intelligence: It Will Kill Us” with more than five million views. Founder and CEO of Airtime Dubai Ltd, producing the technology magazine Understanding Tomorrow for Al-Jazeera Arabic. Biography The systems now embedded in military, financial, and clinical decisions are no longer fully legible to the people who own the risk. Code writes its own next version. Targets are nominated by software. Trades clear without a human in the chair. The question for any serious board is whether the governance model around these systems still matches what they actually do. Tuck reports on this gap from the inside. His investigative book High-Tech Espionage was published in fourteen countries by St. Martin’s Press. Evolution ohne uns became a sustained bestseller in Germany on Plassen Verlag, with the Federal Ministry of Defence acquiring ten thousand copies for distribution within the Bundeswehr. KI und der moderne Krieg documents how AI is being used and contested on the battlefield in Ukraine. The reporting sits on a long career in serious news. He spent 35 years inside ARD German Television, ending as Executive Producer of the flagship nightly programme ARD-Tagesthemen, with combat assignments across both Gulf Wars, Ukraine, and the carrier USS Truman. Bylines in Stern, Der Spiegel, Die Welt, Time, and Le Point. His TEDxHamburgSalon talk on AI risk has passed five million views. What he offers a room is the journalist’s job done well: specific cases, named systems, and a clear account of where human authority over machine decisions has already been ceded. Key speaking topics Artificial intelligence and national security AI in modern warfare Autonomous weapons and the human-in-the-loop question AI in financial markets and algorithmic trading AI in law enforcement and biometric forensics Cybersecurity and high-tech espionage AI in healthcare and clinical decision-making Ideal for Boards and audit committees stress-testing AI risk and oversight Defence, intelligence, and law enforcement leadership audiences CROs, CISOs, and heads of compliance in regulated industries Senior leadership offsites in financial services and healthcare are reckoning with model risk Audience outcomes A working vocabulary for how contemporary AI systems actually make decisions, and where human review has quietly dropped out. Named case studies from defence, finance, and law enforcement where the technology has already moved past existing governance. A sharper read on which AI risks belong on a board agenda and which sit lower in the organisation. A grounded view of the strategic stakes for Western institutions as adversary states deploy AI in conflict and intelligence.

Why organisations work with Audrey Tang She has run the experiment that most boards are still debating: AI governance, digital deliberation, and disinformation defence deployed at national scale, with measurable outcomes during a pandemic and a presidential election. She offers a working alternative to the binary of techno-libertarianism and centralised AI control, set out in “Plurality” with E. Glen Weyl and tested inside Taiwan’s government. She built the civic infrastructure she talks about. g0v, the Mask Map, vTaiwan, and Join.gov.tw are operational systems, not concepts, and have been adopted in Japan, the EU, and the United States. Her authority is rare in this category: a TIME100 AI honoree and Foreign Policy Top 100 Global Thinker who has signed off on policy decisions, not just commented on them. Biography highlights First Minister of Digital Affairs of Taiwan, 2022 to 2024; Digital Minister from 2016. Co-author with E. Glen Weyl of “Plurality: The Future of Collaborative Technology and Democracy”. TIME100 Most Influential People in AI, 2023. Foreign Policy Top 100 Global Thinkers, 2019. Co-founder of g0v and architect of Taiwan’s open-data COVID-19 response, including the Mask Map. Ambassador-at-large, University of Oxford Accelerator Fellowship Programme. Biography Most governments responded to COVID-19 with top-down distribution and mandates. Taiwan ran an open-data Mask Map built with civic coders, a participatory platform called vTaiwan, and a disinformation playbook with a 20-minute response window. The minister responsible was Audrey Tang. Tang served as Taiwan’s first Digital Minister from 2016, and as the first Minister of Digital Affairs from 2022 to 2024. Before government, she was a Silicon Valley engineer and a core contributor to Perl and Haskell. She joined the g0v civic-tech community in its early years and helped shape the open-government practices that later became state policy. Her book with E. Glen Weyl, “Plurality: The Future of Collaborative Technology and Democracy”, argues that AI and digital tools can be designed to widen democratic participation rather than narrow it. The book was written openly on GitHub, translated by volunteers into more than a dozen languages, and released into the public domain. It draws directly on what Taiwan built and ran. She has been named to TIME100 AI, Foreign Policy’s Top 100 Global Thinkers, and serves as an ambassador-at-large in the University of Oxford’s Accelerator Fellowship Programme. For a senior audience weighing how to govern AI inside a regulated organisation, she offers something most speakers in this category cannot: a record of decisions made in office, with results visible in pandemic outcomes and election integrity. Key speaking topics Digital democracy and participatory governance AI ethics and trustworthy AI design Plurality and collaborative technology Disinformation defence and election integrity Open-source civic infrastructure Public trust in technology Cybersecurity as democratic resilience Ideal for Boards and executive committees setting AI governance and risk policy Chief Digital, Data, and AI Officers designing deployment frameworks Public-sector and regulated-industry leaders facing trust and legitimacy questions CISOs and risk leads responsible for disinformation, election, or platform integrity Audience outcomes A working mental model for AI governance grounded in a national case, not a thought experiment. A clear view of what participatory and open-source approaches add to organisational decision-making, and where they break. Specific tactics for disinformation response, drawn from Taiwan’s 2-2-2 playbook. A vocabulary for “Plurality” that gives leaders an alternative to the techno-libertarian and centralised-control framings of AI.

Why organisations work with Terence Mauri He gives leadership teams a defined decision framework, DARE (Data, Agility, Risk, Evolution), drawn from his Wiley and Thinkers50 book, that turns “respond to disruption” from a slogan into a working method. His vantage point sits across operating roles, not commentary alone: founder of Hack Future Lab, Entrepreneur Mentor in Residence at MIT, visiting professor at IE Business School. Senior audiences can tell the difference. The content is built for the AI era without becoming a technology lecture. The argument is about how executives think, choose, and govern when technology cycles are shorter than planning cycles. He writes for a senior business readership through a monthly Inc.com column, “Future Proof,” which means the room hears arguments that have already been pressure-tested in print. Biography highlights Founder of Hack Future Lab, a global management think tank focused on leadership, AI, and disruption. Author of The Upside of Disruption (Wiley, in partnership with Thinkers50, 2024), centred on his DARE framework. Earlier books include The Leader’s Mindset and The 3D Leader. Entrepreneur Mentor in Residence at MIT and visiting professor at IE Business School. Inc.com columnist, author of the “Future Proof” column. Described by Thinkers50 as “an influential and outspoken thinker on the future of leadership.” Biography The hardest part of leading through disruption is not recognising that the environment has changed. It is changing the way a senior team decides while the business still has to deliver this quarter. That gap, between awareness and operating practice, is the question Terence Mauri has spent his work addressing. His most recent book, The Upside of Disruption, was published by Wiley in 2024 in partnership with Thinkers50. It introduces the DARE framework, Data, Agility, Risk, Evolution, as a way of organising executive decisions when conditions will not stabilise. Earlier books, The Leader’s Mindset and The 3D Leader, traced the same thread through the language of mindset and leadership behaviour. The institutional ground underneath the work matters. Mauri founded Hack Future Lab as a global management think tank, and holds active posts as Entrepreneur Mentor in Residence at MIT and visiting professor at IE Business School. He writes the “Future Proof” column for Inc.com, which is where many of the arguments arrive in public before they appear in a keynote. Thinkers50, the management ranking authority, has called him “an influential and outspoken thinker on the future of leadership.” For a senior team weighing whether to put a speaker in front of their own leadership, the practical question is sharper: he gives them a structured way to talk about decisions in conditions of uncertainty, drawn from a published framework rather than a slide deck. Key speaking topics Leadership in the age of AI Decision-making under uncertainty Future readiness and organisational agility Disruption as a strategic input, not a threat Executive mindset and unlearning Innovation and growth in fast-changing markets Ideal for CEOs and executive committees setting strategy in conditions where AI and market shifts have shortened planning horizons. CHROs and chief learning officers redesigning leadership development for senior cohorts. Boards and transformation leads asking how the organisation should make decisions, not just which technology to adopt. Audience outcomes A working vocabulary for how senior leaders make decisions when the operating context is actively changing. The DARE framework as a structure for diagnosing where the leadership team is strong and where it is exposed. A sharper read on the difference between adopting AI and leading through the AI era. A set of named behaviours, around unlearning, calculated risk, and trust, that senior teams can return to after the keynote.

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

Why organisations work with Lisa Walden She translates over a decade of qualitative research on generational sociology into culture decisions a CHRO can actually defend at board level, not survey commentary. Two published books, including The Future of Work is Human and the Wiley “For Dummies” field guide on managing millennials, give her arguments a public, citable spine. She tackles the contested ground of hybrid work, return-to-office friction and Gen Z expectations without retreating into either nostalgia or hype. Her work on trust and psychological safety reads as operational, not therapeutic: barriers named, ingredients specified, applied across in-person, virtual and hybrid teams. She customises through pre-event interviews with client teams, so the keynote lands on the organisation’s specific cultural tension rather than a generic future-of-work narrative. Biography highlights Co-founder of Good Company Consulting, a workplace culture and future-of-work advisory firm. Co-author of The Future of Work is Human: Transforming Company Culture for a Post-Pandemic World (with Hannah L. Ubl). Co-author of Managing Millennials for Dummies, part of Wiley’s “For Dummies” series. Advisor to organisations including BMW, Siemens, HP, Syntellis, the Federal Reserve Bank of San Francisco and Texas A&M University System. Over a decade of qualitative research on generational dynamics and employee experience. Speaker on culture, trust, hybrid work, AI and human judgement, and cross-generational collaboration. Biography Five generations now share the same payroll, and the cultural assumptions each one brought to work have stopped quietly cohabiting. Trust expectations differ. Communication norms differ. The unwritten contract between employer and employee, the one that held through most of the late twentieth century, no longer carries the room. This is the territory Lisa Walden has spent more than a decade studying as a generational sociologist and workplace strategist. As co-founder of Good Company Consulting, Walden advises organisations on how to redesign culture for a workforce that no longer agrees on what work is for. Her clients include BMW, Siemens, HP, the Federal Reserve Bank of San Francisco, Syntellis and Texas A&M University System. The work focuses on the connective tissue of an organisation: trust, psychological safety, communication norms, and the specific operating shifts that make a hybrid or multigenerational workforce coherent rather than fractious. Her two books anchor the public argument. The Future of Work is Human, co-authored with Hannah Ubl, sets out a post-pandemic culture playbook built around compassionate leadership and person-first management. Managing Millennials for Dummies, published in Wiley’s “For Dummies” series, gave her the early platform on generational management and remains a working reference for HR and people leaders. What distinguishes her on a stage is the refusal to default to either the wellness register or the technology register when discussing culture. She treats generational difference as a design input for operating decisions, not a personality theme, and she addresses the friction points that senior teams usually avoid in public: return-to-office disagreement, Gen Z expectations of managers, and what AI adoption does to the human texture of a team. Key speaking topics Future of work and post-pandemic culture Multigenerational workplace dynamics Trust and psychological safety Hybrid and remote work design Employee engagement and motivation Human-centred AI adoption Leadership communication across generations Ideal for CHROs, people leaders and heads of culture redesigning post-pandemic operating norms. Executive teams confronting return-to-office friction and hybrid policy disagreement. Boards and CEOs of organisations with significant Gen Z and millennial workforces. Leadership development and talent programmes inside large, multi-generational employers. Audience outcomes A clearer view of where generational friction is actually costing the organisation, and where it is noise. A working vocabulary for trust and psychological safety that managers can apply on Monday. Specific operating moves for hybrid and in-person team design, not policy slogans. A way to talk about AI adoption that treats human judgement as a capability, not a leftover. Confidence to make culture decisions defensible to both a board and a Gen Z hire.

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

Why organisations work with Yonah Welker Direct line into the European policy machinery shaping AI rules, through working group contributions to the EU AI Code of Practice and DG CNECT’s digital and critical infrastructure work. Specific expertise in the area regulators are now scrutinising hardest: how AI systems treat disability, neurodiversity, accessibility and other designated groups, with published frameworks and a MOOC catalogued by OECD.AI. Cross-institutional fluency across OECD, UN IGF, UNESCO and WHO governance processes, useful for organisations whose AI strategy now has to answer to several overlapping frameworks at once. A practitioner-policy bridge rather than a pure academic. The work moves between technology evaluation, ethics audit and policy drafting, which is the lane most boards now need filled. Biography highlights AI expert listed in the OECD.AI community directory; affiliated with MIT collaborative work and contributor to OECD.AI’s Wonk blog. Contributor to the EU AI Code of Practice (working Groups 2 and 3) and to DG CNECT digital and critical infrastructure programmes. World Economic Forum agenda contributor and TechPolicy.Press author on AI governance, accessibility and algorithmic equity. Co-founder of Hardwaretech think tank (2006), with evaluator and rapporteur roles on EU Commission-funded technology projects. Speaker at the AI Action Summit (Paris/Sorbonne), Sciences Po, Technical University of Munich, AI Safety Korea 2024 and the Delphi Economic Forum. Judge, Diversity in Tech Awards; contributor to UNESCO Digital Week programming and UN IGF Data and AI Governance Coalition. Biography AI governance has moved out of the engineering org and onto the board agenda. The EU AI Act, the OECD framework, UNESCO’s ethics recommendation and the G7 Hiroshima Process now overlap on the same operating decisions, and the speakers who can navigate all of them at once are scarce. Welker sits inside several of those processes at once. He has contributed to working groups on the EU AI Code of Practice, to DG CNECT’s digital and critical infrastructure work, and to OECD.AI’s policy outputs, including a disability-centred AI and ethics MOOC catalogued in the OECD.AI tools repository. He is listed as a contributor at the World Economic Forum and as an author at TechPolicy.Press, with commentary appearing in OECD, UN-related and national policy channels. His specific lane is how AI systems treat designated groups: people with disabilities, neurodivergent users, and other populations where algorithmic decisions can entrench or remove access. That is the area where regulators are now applying the most pressure, and where most organisations have the thinnest internal capability. The work draws on years of technology evaluation, including co-founding Hardwaretech think tank in 2006 and serving as an expert evaluator for EU Commission-funded innovation programmes. For senior leaders, the value is operational. Welker can speak to what an EU AI Act audit will actually examine, what a defensible accessibility claim looks like in an AI system, and how the OECD and UN governance layers connect to the decisions a CTO or general counsel has to make next quarter. Key speaking topics AI governance and the EU AI Act Algorithmic accountability and AI audit Disability-centred and accessibility AI policy Neurodiversity and inclusive AI design Sovereign AI and critical digital infrastructure AI safety and responsible deployment Public sector AI and citizen-facing systems Ideal for General counsel, chief compliance officers and CTOs preparing for EU AI Act enforcement Heads of AI, responsible AI leads and digital ethics committees Public sector and intergovernmental bodies designing AI policy Boards reviewing AI risk exposure across accessibility, bias and public-trust dimensions Audience outcomes A clearer map of how the EU AI Act, OECD framework and UN/UNESCO instruments interlock for their organisation Specific questions to put to vendors, internal teams and audit committees on algorithmic accountability A working definition of what disability-centred and accessibility AI obligations look like operationally Sharper instinct for where reputational and regulatory risk concentrates in current AI deployments A view of where European AI policy is heading next, drawn from inside the working groups shaping it