Inteligência Artificial e IA Generativa

Why organisations work with Kelly Vero She has shipped AAA games (including credits across the Lara Croft and Transformers franchises) and now runs an AI-powered digital fashion business, so she speaks about immersive technology from the inside of two different commercial stacks, not from a consultancy slide. As CEO and CTO of NAK3D, she gives leadership teams a concrete view of how 3D content, AI and consumer brands are starting to fit together at production scale. Her book How Video Games Made the Metaverse: From Pixels to Portals (Routledge) gives executives a structured way to read the metaverse as the natural extension of forty years of game technology, not a marketing fad. She has worked at policy and institutional level with the European Commission and Pro Helvetia, which means she can frame technology questions in terms a regulated board will recognise. Biography highlights CEO and CTO of NAK3D, a Swiss AI-powered digital fashion start-up. Chief Metaverse Officer at Aequaland, an educational platform for children. Author of How Video Games Made the Metaverse: From Pixels to Portals, published by Routledge. Earlier edition nominated for the British Business Book Awards 2024. 30-year career in interactive entertainment, with credits across the Lara Croft and Transformers franchises. Consultant to the European Commission, Pro Helvetia (Swiss Arts Council) and Confetti Media Group. Won a Startup Innovation Award at a World Economic Forum-linked event in Davos, January 2024. Biography The metaverse arrived in the boardroom as a slogan and left as a question: where is the operational substance behind any of this. The honest answer is that it sits inside the games industry, where 3D worlds, real-time content pipelines and live-service economies have been working at scale for two decades. That is the world Kelly Vero has spent thirty years inside. Her credits stretch across the Lara Croft franchise and Hasbro’s Transformers games, taking her from script and character work into production at the heart of mass-market AAA development. The result is a deep, practitioner-level grasp of how immersive technology actually gets built, shipped and monetised. She now applies that experience as CEO and CTO of NAK3D, a Swiss AI-powered digital fashion company sitting between gaming, virtual platforms and consumer brands. NAK3D won a Startup Innovation Award at a World Economic Forum-linked event in Davos in January 2024. Vero is also Chief Metaverse Officer of the children’s education platform Aequaland, and has consulted for the European Commission and Pro Helvetia on technology and creative policy. Her book How Video Games Made the Metaverse: From Pixels to Portals, published by Routledge, treats the metaverse as the next chapter of a long technical lineage, not a sudden hype cycle. For boards trying to decide what to fund, what to ignore and what to build, that frame is more useful than any forecast. Key speaking topics AI and 3D commerce The metaverse as commercial infrastructure Digital fashion and virtual goods Generative AI in creative production Game design as a model for customer experience Web3 and immersive platforms Innovation strategy in deep tech Ideal for CMOs and brand leaders deciding how to commit to virtual goods, digital fashion and immersive customer experience CEOs and boards of consumer and entertainment businesses weighing AI and 3D investment CTOs and digital transformation leads scoping AI commerce, content pipelines and creative AI Investors and innovation teams in retail, fashion, media, gaming and adjacent sectors Audience outcomes A clear read on which immersive and metaverse claims are commercially serious and which are not Concrete examples of how AI and 3D content are already reshaping fashion, retail and entertainment commerce A working frame for treating game technology as the parent discipline of the metaverse, with practical implications for product and platform decisions Confidence to scope a first credible AI or 3D content initiative, rather than commission another exploratory study

Why organisations work with Kemal Apaydin He speaks from the builder’s seat. He is currently building an AI product that prices and anticipates risk for health insurers, so his read on where agentic AI works and where it breaks comes from shipping it. He connects the frontier to the decision that follows it. His sessions take a live example such as the open-source agent OpenClaw and turn it into the choice leaders actually face: how much autonomy to delegate, and where to keep a human. He has built at the edge of more than one technology cycle. Before AI he founded one of Turkey’s early blockchain communities, which gives him a pattern-level view of how emerging technology moves from hype to infrastructure. He treats privacy and human agency as design questions, not disclaimers. That framing is useful for organisations that want the upside of autonomous systems without signing away control of their data or their decisions. Biography highlights Founder of Alon Health, an AI product that uses wearable-device data to help health insurers assess and anticipate risk, based in Berlin. Alon Health went through Y Combinator. Founder of ARTI Innovation and a TEDx speaker (TEDxOZU, Özyeğin University). Founder of Blockfellow, an early blockchain community and co-working initiative in Turkey. Co-founder and CEO of Chain Networking, and co-founder of Shelly Sleep, a privacy-oriented sleep-diagnostic wristband. Studied at Bilkent University and completed executive study with Harvard Business School Online. Biography An open-source project called OpenClaw spread to tens of thousands of developers within days of launch, letting an AI agent read your messages and act across your accounts. That shift, from software that answers to software that acts, is what Kemal Apaydin works on. He builds in it rather than watching it. His company, Alon Health, applies the same idea inside insurance. It reads signals from wearable devices to help insurers anticipate risk and shape decisions about pricing and cover. Building it has given him a grounded read on where autonomous systems earn trust and where they lose it. This is not his first frontier. Before AI, he founded Blockfellow, an early blockchain community in Turkey, and ran education programmes that pulled hundreds of students from Istanbul universities into the field. The pattern across his work stays the same: get inside a technology while it is still forming, then figure out what it will mean once it settles. He can take a live system like OpenClaw and walk leaders through the question underneath it: how much of a purchase or a decision they will hand to software, and what they keep for a human. That conversation matters for any organisation weighing how far to let autonomy run. The harder one sits right behind it. When an agent acts on someone’s behalf and gets it wrong, who is accountable? Key speaking topics Autonomous and agentic AI Personal AI assistants Enterprise AI strategy and adoption Designing and deploying autonomous AI workflows AI governance, safety, and responsible autonomy Privacy and human agency in AI systems Applied AI in insurance and risk Ideal for Chief technology and chief information officers weighing where to deploy agentic AI and where to hold back Innovation and digital transformation leaders who want a builder’s read on personal AI, not a vendor pitch Strategy teams and boards mapping how autonomous systems change products and accountability Insurance and financial services leaders looking at AI-driven risk and the data questions it raises Audience outcomes They leave knowing what today’s AI agents can actually do, and what the demos leave out, drawn from systems already in use. A working test for deciding which tasks to hand to autonomous software and which to keep under human control. The governance and accountability questions to settle before an agent acts on the organisation’s behalf. A builder’s view of where agentic and personal AI are heading, and what it changes for their sector.

Why organisations work with Ken Hughes His Blue Dot Consumer framework gives leadership teams a named model for the modern consumer – one who places themselves at the centre of every interaction and expects brands to be instant, personal, and emotionally authentic. It replaces vague customer-centricity language with a concrete diagnostic tool. Taylormaking, his 2025 book, uses Taylor Swift’s 12 studio albums as a structured analytical framework for brand intimacy – demonstrating how emotional loyalty, tribal belonging, and values-led branding operate in practice and what that requires from commercial strategy. A career spanning strategy consulting at Accenture, consumer insight at Nielsen, and 25 years as CEO of Glacier Consulting gives him a rare combination: analytical training in how consumers behave and sustained practical experience of what actually shifts in boardrooms. Named by CX Network among the Top 50 CX Leaders to Follow in 2025 and the Top 50 AI Leaders in CX to Follow in 2026, he brings an externally validated, current perspective on where consumer expectations are heading – not where they have been. His interdisciplinary base – consumer psychology, behavioural economics, digital anthropology, and cyberpsychology – lets him explain brand decisions as outcomes of human behaviour, not just marketing choices. That distinction is particularly valuable in conversations with senior leaders who have grown sceptical of CX as a function. Biography highlights CEO and founder of Glacier Consulting, a consumer insight agency whose clients include Coca-Cola, IKEA, AXA, Unilever, Walmart, Google, Microsoft, and PayPal Former Strategy Consultant at Accenture and Manager of Consumer Insight at Nielsen Part-time lecturer in Consumer Behaviour at University College Cork Author of Taylormaking: A New Era of Modern Branding and Customer Connection (2025), a CX strategy book structured around Taylor Swift’s 12 studio albums TEDx speaker at TEDxUniversityofNicosia; talk has received more than 100,000 online views Named by CX Network among the Top 50 Customer Experience Leaders to Follow in 2025 and Top 50 AI Leaders in CX to Follow in 2026 Biography Customer loyalty has become harder to earn as the expectations of consumers – particularly Gen Z and Gen Alpha – have shifted from satisfaction to emotional belonging. Ken Hughes built Glacier Consulting around one persistent question: why do people buy, and what does that mean for how brands should behave? After earlier careers as a strategy consultant at Accenture and a consumer insight manager at Nielsen, he has spent more than two decades embedding behavioural science into commercial practice. His named concept, the Blue Dot Consumer, gives organisations a specific model for the modern customer – one who treats themselves as the centre of every interaction, expecting brands to be instant, personal, and emotionally intelligent. That framework, rooted in consumer psychology, digital anthropology, and behavioural economics, underpins both his consultancy work and his keynote practice across five continents. His 2025 book, Taylormaking, extends that argument into a structured analysis of brand intimacy, using Taylor Swift’s 12 studio albums as a framework for understanding emotional loyalty, tribal community, and values-led leadership. It is a useful index of how Hughes works: making the mechanisms of consumer psychology legible and commercially actionable for leadership audiences well beyond the CX function. A part-time lecturer in Consumer Behaviour at University College Cork and named by CX Network among the Top 50 CX Leaders to Follow in both 2025 and 2026, Hughes speaks more than 80 times annually. His client roster – spanning Coca-Cola, Unilever, Walmart, Google, Microsoft, and PayPal – reflects both the breadth of sectors in which his behavioural arguments apply and the seniority of the audiences he typically addresses. Key speaking topics Consumer psychology and shopper behaviour Customer experience strategy Brand connection and emotional loyalty Generational consumer shifts – Gen Z and Gen Alpha AI and the future of customer experience Creativity and innovation in commercial culture Ideal for CMOs and marketing leaders focused on building brand loyalty in a competitive, AI-influenced landscape Customer experience leaders navigating the shift from transactional to emotionally driven consumer relationships Senior commercial and retail leaders seeking behavioural insight into how younger consumer cohorts make brand decisions Transformation and innovation leads rethinking how brands earn and sustain connection with modern audiences Audience outcomes A named model – the Blue Dot Consumer – for diagnosing how modern consumers make brand decisions and what they expect from every brand interaction Practical understanding of how emotional loyalty differs from satisfaction, and what organisations must do differently to build it Insight into how Gen Z and Gen Alpha are reshaping brand expectations and what that requires from commercial and marketing strategy Clarity on AI’s role in the future of customer experience – where automation strengthens brand connection and where it risks eroding it A framework, drawn from Taylormaking, for building tribal brand belonging through authenticity, community, and values-led leadership

Why organisations work with Kevin Lane Keller He authored the framework most senior marketers were trained on. The Customer-Based Brand Equity model, his 1993 Journal of Marketing paper, is the reference point that brand equity conversations still anchor to. He co-authors the standard MBA marketing textbook. Marketing Management with Philip Kotler is in its 16th edition and sits on the syllabus of most top business schools, which means his vocabulary is already shared by the room. He has advised brand strategy at Accenture, American Express, Disney, Ford, Intel, Nike, P&G, Samsung, Starbucks, Coca-Cola, Microsoft, and Google, so the case material is current rather than historical. He treats the tension between short-term performance marketing and long-term brand building as a capital allocation question, not a creative one, which lands with CFOs and CEOs as well as CMOs. He brings the academic credibility of 135+ peer-reviewed papers and a Tuck professorship without retreating into theory; the work has been pressure-tested in expert witness testimony for Amazon, Meta, Mercedes-Benz, and the NFL. Biography highlights E. B. Osborn Professor of Marketing, Tuck School of Business, Dartmouth College. Author of Strategic Brand Management, 5th edition, co-authored with Vanitha Swaminathan, widely referred to as the “bible of branding.” Co-author with Philip Kotler and Alex Chernev of Marketing Management, 16th edition. Originator of the Customer-Based Brand Equity (CBBE) model, 1993 Journal of Marketing. Former Executive Director of the Marketing Science Institute, 2013 to 2015. Previously held tenured marketing posts at Stanford Graduate School of Business, UC Berkeley, and UNC Chapel Hill. Biography The argument over what brand investment is actually for has moved from the marketing function to the boardroom. Finance leaders want a defensible link between brand spend and enterprise value. Marketing leaders are negotiating between short-term performance metrics and the longer arc of customer preference. Keller’s work is the framework most of those conversations are still built on. His 1993 Journal of Marketing paper introduced the Customer-Based Brand Equity model, which redefined brand value as what customers know, feel, and recognise about a brand rather than as a balance-sheet residual. The CBBE pyramid remains a standard reference for measuring brand strength inside organisations like Accenture, American Express, Disney, Nike, P&G, and Samsung, all of which have drawn on his counsel. He co-authors Marketing Management with Philip Kotler and Alex Chernev, now in its 16th edition, and Strategic Brand Management with Vanitha Swaminathan, now in its 5th. Both textbooks are core curriculum at most top business schools, which means most CMOs in the room were trained inside his vocabulary. He has held tenured positions at Stanford, Berkeley, and UNC before Tuck, and served as Executive Director of the Marketing Science Institute. Keller’s current work focuses on how brands hold their position when AI reshapes media buying, customer experience, and pricing simultaneously. He addresses the tension senior teams face directly: how to keep building the brand asset when every dashboard rewards the campaign. Key speaking topics Customer-based brand equity Building global power brands Brand strategy and brand architecture Integrated marketing communications The economics of brand investment AI and the future of brand management Marketing strategy at the CEO and CFO level Ideal for CMOs and brand leaders defending brand investment to boards and finance functions CEOs and CFOs evaluating how brand contributes to enterprise value Marketing leadership offsites and senior marketing development programmes Global brand and category teams in consumer, technology, and financial services Audience outcomes A shared vocabulary, grounded in the CBBE framework, for discussing brand value across marketing, finance, and the executive team A clearer view of how short-term performance activity and long-term brand building reinforce or undermine each other Diagnostic tools for assessing where a brand is strong, vulnerable, or under-leveraged in current category dynamics A current perspective on what AI changes, and does not change, for brand strategy Case context from senior brand decisions inside Nike, Disney, P&G, Samsung, Google, and others

Why organisations work with Kian Gohar Brings primary research, not commentary. The Ferrazzi-Gohar study of 2,000 leaders during the pandemic and his Stanford-partnered four-company experiment on AI-assisted brainstorming give boards an evidence base for decisions, not anecdote. Co-author of a Wall Street Journal bestseller, “Competing in the New World of Work” (Harvard Business Review Press, translated into seven languages), with a working framework for high-return team practices that leaders can apply directly. Operational track record from inside XPRIZE Foundation and Singularity University, where he ran innovation programmes for Fortune 500s and helped design corporate moonshot work, so the advice connects to how large organisations actually execute. Published in Harvard Business Review on the failure modes of generative AI in team creativity, with specific guidance on how to redesign ideation workflows so AI raises output rather than flattening it. Speaks five languages and has built innovation programmes across the US, Europe, and China, which translates into sharper sessions for global leadership teams than a US-only perspective offers. Biography highlights Founder and CEO of Geolab, a research lab on Human-AI collaboration, future of work, and innovation. Co-author with Keith Ferrazzi of “Competing in the New World of Work” (Harvard Business Review Press, 2022), a Wall Street Journal bestseller in seven languages. Co-author of “Don’t Let Gen AI Limit Your Team’s Creativity,” Harvard Business Review, March-April 2024, with Jeremy Utley of Stanford. Former Executive Director, XPRIZE Foundation and Singularity University. Member, Council on Foreign Relations; Henry Luce Scholar in Shanghai; alumnus of Northwestern, London School of Economics, and Harvard Business School. Research and commentary featured in the Financial Times, NPR, and the Wall Street Journal. Biography Most teams adopted hybrid work and generative AI inside the same eighteen months, and most leaders are still guessing at what good looks like. Kian Gohar’s research sits in that gap. With Keith Ferrazzi he interviewed more than 2,000 leaders during the pandemic; the resulting book, “Competing in the New World of Work” (Harvard Business Review Press, 2022), became a Wall Street Journal bestseller and was translated into seven languages. His more recent work moves the same lens onto AI. With Jeremy Utley of Stanford, he ran a four-company experiment on AI-assisted brainstorming and published the findings in Harvard Business Review in 2024. The headline is uncomfortable for vendors: teams using generative AI produced only modestly more ideas, and several underperformed. The article gives leaders a specific diagnosis of why and what to change in the ideation workflow. Before Geolab, Gohar was Executive Director of the XPRIZE Foundation and Singularity University, where he built corporate moonshot and innovation programmes for Fortune 500 leadership teams. That operational background is why his keynotes carry weight in boardrooms; the advice is grounded in running real programmes, not modelling them. He is a member of the Council on Foreign Relations, a Henry Luce Scholar, and a graduate of Northwestern, the London School of Economics, and Harvard Business School. For a senior team trying to work out how to make hybrid actually productive and how to introduce AI without quietly degrading creativity, Gohar offers a rare combination of evidence and operating instinct. Key speaking topics Radical adaptability and high-return team practices Human-AI collaboration in knowledge work Generative AI and team creativity Hybrid and remote workplace design Innovation strategy and corporate moonshots Future of work and workforce transformation Leadership through structural change Ideal for CHROs and chief people officers redesigning hybrid operating models Chief strategy and chief innovation officers integrating generative AI into team workflows Executive teams running enterprise-wide transformation programmes Boards and senior leadership groups setting an AI and future-of-work agenda Audience outcomes A clear read on what 2,000 leaders learned about hybrid work that actually raises team performance. Specific reasons teams underperform with generative AI and the workflow changes that reverse it. A working vocabulary for radical adaptability that senior teams can use to evaluate their own practices. Concrete examples from XPRIZE moonshot work showing how ambitious goals get organised inside large companies. A sharper sense of which AI and future-of-work investments will compound, and which will not.

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

Why organisations work with Kimberly Bryant She built Black Girls CODE from a single San Francisco workshop into an organisation that reached more than 100,000 students across the US and South Africa, which gives her concrete authority on what scales in early-career technical pipeline work and what does not. Her current platform, the Black Innovation Lab at Ascend Ventures, puts her in active deal flow with founders working in AI, climate, healthcare, and femtech, so her view of inclusive innovation is grounded in capital decisions, not advocacy. The Black Girlboss Paradox is her own framework for the specific leadership progression problem Black women hit at senior levels, and it gives audiences a usable concept rather than a general DEI message. A 20-plus year engineering career at Genentech, Novartis, Merck, and Pfizer means she can hold a serious conversation with technical leaders about pipeline, R&D culture, and progression in regulated, complex organisations. Recognition by the Obama White House as a Champion of Change for Tech Inclusion and a Smithsonian American Ingenuity Award places her in a small group of named, vetted voices on this subject for senior audiences. Biography highlights Founder, Black Girls CODE (2011), reaching more than 100,000 students across the US and South Africa. Founder and CEO, Black Innovation Lab at Ascend Ventures Tech, based in Memphis on the historic Griggs College campus, investing in Black founders in AI, climate, healthcare, and femtech. White House Champion of Change for Tech Inclusion, 2013. Smithsonian Magazine American Ingenuity Award for Social Progress, 2014. BE Electrical Engineering, Vanderbilt University, 1989. Twenty-plus year career in engineering leadership roles at Genentech, Novartis, Merck, and Pfizer. Forthcoming book, Ascending: Black Women and the Paradox of Power, Tiny Reparations Books / Penguin Random House, autumn 2027. Biography In 2011 a Memphis-born electrical engineer ran a coding workshop for fourteen girls in San Francisco because her own daughter could not find a class that looked like her. The workshop became Black Girls CODE. Inside a decade it had reached more than 100,000 students across the US and South Africa, with Smithsonian and White House recognition attached. Kimberly Bryant came to that work after twenty years as an engineering manager inside Genentech, Novartis, Merck, and Pfizer. That matters for buyers, because her view of inclusion is shaped by R&D budgets, validation cycles, and Fortune 100 promotion ladders, not by the language of advocacy alone. Her current platform, the Black Innovation Lab at Ascend Ventures Tech, is based on the historic Griggs College campus in her hometown of Memphis. The fund writes cheques into Black-led companies in AI, climate, healthcare, and femtech, which keeps her thesis on inclusive innovation tied to live capital decisions. The framework she now brings to senior audiences is the Black Girlboss Paradox: the structural reason Black women who reach the threshold of executive power encounter heightened scrutiny, narrower capital access, and confinement to lower-leverage roles. It is also the subject of her forthcoming book, Ascending: Black Women and the Paradox of Power, from Tiny Reparations Books at Penguin Random House, due in autumn 2027. Key speaking topics Institutional accountability in leadership Inclusive innovation and venture capital Founder journeys and entrepreneurship at scale Black women’s leadership progression and the Black Girlboss Paradox Organisational design and who holds power Inclusive AI development and AI for social impact Ideal for CHROs and chief diversity officers responsible for moving senior representation, not just hiring numbers Boards and executive teams reviewing the credibility of their inclusion strategy Heads of innovation, R&D, and venture units allocating capital to underrepresented founders Women in leadership programmes, particularly those focused on senior progression for women of colour Audience outcomes A clear, named framework, the Black Girlboss Paradox, for the leadership-progression problem that generic DEI language misses A practitioner view of what scales in tech-equity work, drawn from running an organisation that reached 100,000 students Specific signals to apply when assessing inclusive innovation strategies, sourced from active venture practice A re-set on the difference between access initiatives and structural change in promotion, capital, and culture

Why organisations work with Krista Jäntti She runs the validation work most internal innovation teams skip, separating generative AI and XR concepts that have a defensible business case from those that do not. Her perspective is operator-led, not analyst-led: as founder of EventuallyXR and Exthereal, she has built and shipped immersive products, not only written about them. She combines an Aalto Executive MBA with a working knowledge of AI, XR and blockchain, which lets her translate engineering reality into language a leadership team can act on. Selection for the 100 Women of the Future list and her advisory role at Aalto University place her inside the European deep-tech and creative-industries network, with current visibility into where the technology is actually heading. She speaks about AI and immersive technology with measured scepticism, naming the limits and risks alongside the opportunity, which lands well with senior audiences tired of hype. Biography highlights Founder and CEO of EventuallyXR, advising organisations on commercial use cases in extended reality, generative AI and blockchain. Founder of Exthereal, a digital fashion and immersive virtual production studio. Business Advisor at Aalto University, working inside the Aalto Digital Creatives programme. Named to the 100 Women of the Future list in 2023 for her work at the boundary of physical and generated reality. Aalto Executive MBA holder, with prior Master of Science training spanning life sciences and computer science. Task leader on the EU Horizon Seeds of Bravery programme supporting the Ukrainian deep-tech ecosystem. Published author on AI-powered digital humans and immersive UX in AR/VR Journey and on Medium. Biography Generative AI and extended reality keep arriving on board agendas faster than organisations can absorb them. The result, in most companies, is a pile of pilots, vendor demos and internal experiments that never connect to a commercial decision. Krista Jäntti’s work sits in that gap, between a technology that is genuinely interesting and a use case that is genuinely defensible. As founder and CEO of EventuallyXR, she advises organisations on where XR, generative AI and blockchain belong inside their business model, and where they do not. She is an operator first. Her second company, Exthereal, builds digital fashion and immersive virtual productions, which means she has shipped the kind of content and experience layer her clients are trying to evaluate. Her academic path runs from microbiology and biochemistry through computer science to an Aalto Executive MBA. That mix matters in the work, because emerging-technology decisions cut across engineering, design, regulation and commercial strategy at the same time. As Business Advisor inside Aalto University’s Digital Creatives programme, and as task leader on the EU Horizon Seeds of Bravery programme for the Ukrainian deep-tech ecosystem, she stays close to where the technology is being built, not only sold. She was selected for the 100 Women of the Future list in 2023, recognised for working at the boundary of physical and generated reality. Audiences who book her tend to want what that recognition implies: a speaker who can hold both the technical detail and the commercial question in the same sentence, and who will tell a leadership team which of their AI and XR bets are worth keeping. Key speaking topics Generative AI in business Extended reality and the metaverse Emerging technology validation AI-powered digital humans and immersive UX Digital fashion and virtual production Responsible adoption of AI and XR Innovation strategy for creative industries Ideal for CEOs, CDOs and innovation leaders shaping a generative AI or XR strategy. Boards weighing the commercial case for immersive and generative technology investment. Marketing, brand and creative leadership teams in consumer, fashion and media businesses. Corporate venture, R&D and emerging-technology teams choosing where to place pilot budget. Audience outcomes A clearer view of which generative AI and XR use cases have a defensible commercial case in their sector. A sharper sense of the difference between vendor narrative and real technical capability. Specific examples of how digital humans, immersive production and generative content are already being deployed. Language to brief internal teams and boards on responsible adoption of AI and immersive technology. Confidence to retire pilots that will not scale and double down on the ones that will.

Why organisations work with Lara Lewington Fourteen years inside BBC Click gives her a first-hand catalogue of which AI and health-tech claims held up and which collapsed, useful for boards trying to triage vendor pitches. Hacking Humanity (Penguin, 2025) is a structured, sourced argument on the technologies extending healthspan, not a survey article, so audiences leave with a thesis rather than a topic tour. Formal study in the Ethics of AI at the London School of Economics, layered onto her broadcast work, makes her a credible voice in governance and risk conversations, not only product showcases. She is regularly trusted to host the main stage at AI Summit London, Founders Forum, London Tech Week and the Royal Academy of Engineering, which means she moves comfortably between keynote and high-stakes moderation in the same event. Long-form access to the people building this technology, from Silicon Valley founders to NHS clinicians, lets her describe what is actually being deployed rather than what is being announced. Biography highlights Co-presenter of BBC Click, the corporation’s flagship technology programme, for seven years until the show ended in March 2025; reporter on the programme from 2011. Author of Hacking Humanity: How technology can save your health and your life (Penguin, WH Allen, July 2025). Fronted BBC Panorama’s “Beyond Human: Artificial Intelligence and Us” and BBC One documentary “Forever Young?” on biological age reversal. AI Agony Aunt on ITV’s Lorraine since 2023; recurring technology commentator on Good Morning Britain, Woman’s Hour and BBC Radio 5 Live. Studied Ethics of AI at the London School of Economics; Senior Fellow at the John Schofield Trust mentoring early-career journalists. Host and moderator at AI Summit London, Founders Forum Global, LEAP Tech Arena, London Tech Week and the Royal Academy of Engineering. Biography Most boardroom conversations about artificial intelligence and health technology run aground on the same problem. The pace of announcement outstrips the pace of verification. Lara Lewington has spent 14 years inside the programme that, more than any other in British broadcasting, exists to do that verification on the public’s behalf: BBC Click. She reported for the show from 2011, co-presented from 2018 with Spencer Kelly, and stayed until the programme ended in March 2025. Hacking Humanity (Penguin, July 2025) takes the same instinct into book form. It examines the AI, gene editing and robotics now reshaping medicine, with a clear thesis: the meaningful prize is healthspan, the years lived in good health, not raw lifespan. Endorsed by Lorraine Kelly, Davina McCall and Dr Amir Khan, it draws on access from Silicon Valley founders to NHS clinicians, and frames where the science is real, where it is premature, and where the ethical exposure sits. The AI ethics work is anchored by formal study at the London School of Economics and a steady stream of fronted documentaries: Panorama’s “Beyond Human: Artificial Intelligence and Us”, BBC One’s “Forever Young?”, ITV’s “Tonight: Healthy Ageing”, and BBC Radio 4’s “A Documentary: By ChatGPT”. She is the AI Agony Aunt on ITV’s Lorraine, a regular voice on Good Morning Britain and Woman’s Hour, and a Senior Fellow at the John Schofield Trust. Event organisers book her for two distinct jobs. She delivers keynotes on AI ethics, the human impact of automation and the healthspan revolution. She also hosts and moderates the main stage at AI Summit London, Founders Forum Global, LEAP Tech Arena, London Tech Week and the Royal Academy of Engineering, where the brief is to interview a chief executive or scientist and keep the conversation honest in real time. Key speaking topics Artificial intelligence and its human impact AI ethics and responsible deployment Health technology and the healthspan economy Longevity science and biological age Wearables, diagnostics and consumer health data The role of robotics in care and clinical settings Technology hype versus evidence Ideal for Boards and executive teams setting AI policy and digital health strategy CHROs, chief medical officers and benefits leaders shaping workforce health programmes Health, life sciences and pharma leadership audiences tracking the AI inflection in their sector Conference organisers needing a credible host or moderator for AI, health-tech and innovation main-stage sessions Audience outcomes A clear read on which AI and health-tech claims are evidence-backed and which are still vendor narrative A working vocabulary for healthspan, longevity science and the technologies driving them Sharper questions to put to internal teams and external suppliers on AI ethics and data governance A grounded view of how rapidly diagnostic and preventive technology is moving from research into mainstream use

Why organisations work with Lauren Ducrey Seven years inside Google as a senior UX content strategist, writing the conversational personality of Google Assistant and Bard/Gemini. When she talks about what AI can and cannot do with language, she is describing a system she helped build. The Humanifesto is a six-stage method that runs from 45 minutes to half a day, at a 25-person Google Cloud offsite or a 500-person UNOi México keynote, in English, French, Spanish and Portuguese. Every session produces a written piece per attendee and a gallery of those pieces the internal comms team can publish afterwards. Tongues Tied (2021), the EP Cordes sensibles with Paris guitarist Hadrien Remy (2022), and laureate of the 2022 Moving Words competition for “The Second Cactus”. She also writes bespoke opening and closing pieces to a client’s brief. Indeed programmed her Humanifesto session as an interactive breakout at FutureWorks in Phoenix, September 2026, where it carries SHRM recertification credit. At AXA, the session sold out fast enough that the team ran it again the same week. Biography highlights Senior UX content strategist at Google for seven years, designing the conversational personality of Google Assistant and, later, Bard and Gemini Author of Tongues Tied (2021) and creator of Cordes sensibles (2022), an EP of poetry set to guitar with Paris musician Hadrien Remy, and laureate of the 2022 Moving Words competition Interviewed by Le Monde, Bloomberg QuickTake and The Huffington Post on the Assistant’s personality, which she was then leading for French-speaking markets Sessions delivered for Meta Creative Shop, Google Cloud, AXA, PepsiCo, Renault, Squarespace and Editora Moderna in Brazil Has taught and performed at Columbia University, IRCAM Paris, The Shed in New York and Maison de la Conversation in Paris HEC Paris graduate, with master’s degrees in literature and social innovation, and a former political speechwriter Biography Someone had to decide how the Google Assistant apologises. For seven years that was part of Lauren Ducrey’s job as a senior UX content strategist at Google, writing conversational personality into the Assistant and later into Bard and Gemini. Every phrasing was a design decision, worked out with psychologists and tested against how people actually talk to machines. That work left her treating language as operating infrastructure. Before she left, she was running workshops inside Google that used poems to practise listening and productive disagreement. A leader who cannot describe their own contribution has little to defend when the restructure arrives. One of Google Cloud’s Partners leaders put the condition to her plainly at an offsite: no time to reflect, multitasking as a permanent fact of the job. The format she built for this is the Humanifesto, six stages from an opening poem to a send-off. In the middle, everyone spends fifteen minutes using AI to draft a statement of what they bring that a machine cannot. Meta Creative Shop gave it the closing slot of a full-day global offsite, and volunteers queued to read their pieces aloud to 130 colleagues. At Editora Moderna’s product launch in Brazil, it held 150 school directors past 7:30pm on a Monday. Tongues Tied came out in 2021, followed in 2022 by Cordes sensibles, an EP of poems set to guitar; her piece “The Second Cactus” took the 2022 Moving Words award. She has read at The Shed in New York and taught at Columbia University and IRCAM in Paris. In September 2026, Indeed placed her Humanifesto session on the FutureWorks programme in Phoenix, where it carries SHRM recertification credit. Key speaking topics Human capability in an AI-enabled workforce Language as organisational infrastructure Emotional intelligence and leadership under automation Generative AI as a reflection tool Employee engagement at offsites, all-hands and leadership summits Creativity and expression inside technical teams Poetry as a workplace practice Ideal for CHROs and heads of L&D rebuilding employee development around AI capability Internal communications and culture leads running offsites, all-hands and leadership summits with AI-heavy agendas Conference programmers who need one booking to cover a panel, a workshop and the opening and closing slots Creative, marketing and product directors whose teams are questioning their own value against generative tools Audience outcomes A written Humanifesto: a short personal statement of what each person contributes that AI cannot reproduce One concrete use for generative AI they can apply immediately, prompting it to reflect their own thinking back to them rather than to write on their behalf Shared language for what a team does well, drawn from what people in the room actually wrote Vocabulary for naming what they are experiencing during restructures and AI rollouts, which is the precondition for raising it with a manager A gallery of attendee-written pieces the organisation can publish internally afterwards

Why organisations work with Léa Steinacker Her “Code Capital” framework, developed through her University of St. Gallen doctorate and published by Nomos Verlag, gives executive teams a structured way to analyse what is embedded in AI systems from design through deployment, something most AI governance conversations currently lack. Her peer-reviewed research covers specific, contested AI applications, including cross-national surveys of facial recognition acceptance published in Government Information Quarterly and Public Understanding of Science, which gives her arguments empirical grounding rather than assertion. Her 2024 book co-authored with Prof. Dr. Miriam Meckel (Rowohlt Verlag) reached both the Spiegel and Manager Magazin bestseller rankings, evidence that her framing of AI’s organisational and societal consequences resonates with senior business audiences, not only specialist ones. As co-founder of ada Learning, which has equipped thousands of employees from DAX companies, SMEs, and governments with AI transformation skills, she has tested her frameworks inside major institutions at scale, not only described them from the outside. Board-level experience at Weleda AG and active leadership as CEO of GaiaLogic AG mean her perspective on AI governance comes from someone directly accountable for it, not only someone who analyses it. Biography highlights PhD from the University of St. Gallen; doctoral thesis “Code Capital” published as an academic monograph by Nomos Verlag (2022) Co-author with Prof. Dr. Miriam Meckel of “Alles überall auf einmal” (Rowohlt Verlag, 2024), ranked on both the Spiegel and Manager Magazin bestseller lists; published in English as “Everything Everywhere All At Once: How Artificial Intelligence Impacts Our World” and in Korean CEO of GaiaLogic AG; co-founder and former Executive Chairwoman of ada Learning GmbH, which has equipped thousands of employees from DAX companies, SMEs, and governments with AI transformation skills Member of the Board of Directors of Weleda AG; former member of the AI Advisory Board of Ringier AG Lecturer at the University of St. Gallen, teaching “Social and Economic Impacts of Artificial Intelligence” Peer-reviewed publications in Government Information Quarterly, Electronic Markets, Public Understanding of Science, and Data and Policy (Cambridge Core) Degrees from Princeton University (A.B.), Harvard Kennedy School of Government (MPP), and the University of St. Gallen (PhD) Forbes 30 Under 30 Europe; Medium Magazine Top 30 Under 30 Journalists; BCG Thought Leader; Atlantik-Brücke Young Leader; Munich Young Leader (Munich Security Conference and Körber Stiftung); Henry Richardson Labouisse Prize, Princeton University Biography Organisations moving quickly on AI adoption are finding that their governance structures are not keeping pace. Boards are increasingly accountable for what AI systems do to their decisions and their people, yet most lack the analytical frameworks to evaluate it. Léa Steinacker has spent a decade building exactly those frameworks. Her doctoral research at the University of St. Gallen produced Code Capital, a sociotechnical framework for analysing AI systems from design through deployment. Published by Nomos Verlag in 2022, it gives leaders a structured way to identify what AI systems actually contain, from design assumptions to deployment risks. Her peer-reviewed work, covering facial recognition adoption across four countries and published in journals including Government Information Quarterly and Public Understanding of Science, brings empirical grounding to arguments that too often stay at the level of principle. Her 2024 book with Prof. Dr. Miriam Meckel (Rowohlt Verlag) became an immediate Spiegel and Manager Magazin bestseller and was subsequently translated into English and Korean. It moved the question of what AI means for people, organisations, and societies from ethical debate into practical leadership conversation. She now carries that perspective directly into practice as CEO of GaiaLogic AG and as a lecturer at the University of St. Gallen. As a member of the Board of Directors of Weleda AG, her perspective on AI governance is shaped by institutional accountability, not only academic analysis. She co-founded ada Learning, which has equipped thousands of employees from DAX companies, governments, and civil society organisations with AI transformation skills. She holds degrees from Princeton University, the Harvard Kennedy School of Government, and the University of St. Gallen. Key speaking topics AI governance and responsible deployment The societal and organisational implications of AI Code Capital and sociotechnical analysis of AI systems AI regulation and the European policy framework Workforce transformation and AI readiness Human-AI collaboration and decision-making AI and the future of knowledge work Ideal for Boards and C-suite executives evaluating AI governance and accountability structures Chief Technology Officers, Chief Digital Officers, and transformation leads navigating AI adoption Policy, legal, and compliance teams working on AI regulation and enterprise risk Senior HR and people leaders managing workforce readiness and AI-driven organisational change Audience outcomes A framework, grounded in the Code Capital model, for evaluating what AI systems do to organisations beyond their stated technical capabilities Clearer understanding of where AI governance risk accumulates before it becomes visible at board level Practical grounding in European AI regulation and what it means for organisational decision-making and liability A more precise vocabulary for asking the right questions about AI in leadership and governance contexts Greater clarity on how to structure workforce readiness initiatives that treat AI transformation as an organisational challenge, not only a skills one

Why organisations work with Limor Ziv She closes the gap between AI governance theory and AI commercial performance, with named client work at Google, KPMG, Bright Data, SolarEdge, and Medison Pharma. Humane AI was selected by Meta among 2025’s most promising AI startups; she sits on the Scientific Council of the Israeli Association for Ethics in AI. Her peer-reviewed research with 74 senior AI and data professionals (MDPI, 2025) gives boards a working diagnostic for the breakdowns that destroy AI value, from data and governance to context and business alignment. She works the practitioner seam between academic credibility and commercial deployment, the same person teaches the lecture and runs the workshop afterwards. Operator credibility on the women-in-AI question, with public roles in Israel’s data and ethics communities, without converting that into a separate keynote category. Biography highlights Founder and CEO, Humane AI, selected by Meta among 2025’s most promising AI startups. Postdoctoral fellowship in Human-AI Interaction; Ph.D., Tel Aviv University, where she was named to the “100 Outstanding Lecturers” list. Co-author, “Behind the Algorithm: International Insights into Data-Driven AI Model Development” (MDPI, 2025), based on interviews with 74 senior AI and data professionals. Scientific Council member, Israeli Association for Ethics in AI (IAEAI). Named keynote and consulting work for Google, KPMG, Bright Data, SolarEdge, Medison Pharma, government ministries, and municipalities including Tel Aviv. Biography AI investments are returning less than executive committees expected, and regulatory scrutiny is rising in parallel. The two pressures meet at the same operational layer, where most AI deployments quietly fail. Dr. Limor Ziv built Humane AI to work at that seam. The company was selected by Meta among 2025’s most promising AI startups. In a keynote, she takes apart the hidden risks built into everyday algorithms and gives senior audiences practical ways to govern AI systems and to lower the exposure they create. She works with organisations to capture the upside of AI and avoid the failure modes that come with deploying it. The research underwrites the consulting. Her 2025 paper with Maayan Nakash in MDPI’s Machine Learning and Knowledge Extraction draws on interviews with 74 senior AI and data professionals across countries and sectors. The recurring breakdowns it surfaces are the same ones that destroy commercial performance: weak data quality, missing context, governance gaps, and business misalignment. Her client base spans government ministries and municipalities, universities, and technology companies, including Google, KPMG, Bright Data, SolarEdge, and Medison Pharma. She lectures in graduate programmes at universities and was named to Tel Aviv University’s list of 100 Outstanding Lecturers. The brief is consistent across them: make AI deployments that earn their investment and hold up when someone audits the decisions. Key speaking topics Responsible AI and AI ethics AI risk management and compliance AI governance and regulatory readiness Data quality and data-centric AI Human-AI interaction and human-centred design Realising value from AI investment AI in regulated sectors, including healthcare and finance Operationalising responsible AI in the enterprise Ideal for Boards and executive committees accountable for both the return on AI investment and the defensibility of the AI systems they sign off. Chief AI officers, chief data officers, and CISOs operationalising responsible AI policy while showing it earns its cost. Regulated-industry leadership in healthcare, financial services, and public sector wrestling with AI deployment under compliance pressure. Heads of AI, innovation, and transformation under pressure to show a return on AI spend without creating regulatory exposure. Audience outcomes A working definition of AI risk that distinguishes data risk, model risk, and decision risk, and a sense of where each lives in the organisation. A view of what AI deployment actually demands of operating teams, drawn from her empirical research with 74 senior practitioners across countries and sectors. A grounded read on the live regulatory and ethical debates, from a Scientific Council member of the Israeli Association for Ethics in AI. An honest read on the gap between what AI investments cost and what they return, and on the operating work that decides whether the gap closes.