Artificial Intelligence & Generative AI

Why organisations work with Markus Bernhardt He runs a continuous research programme, The Endeavor Report, built on client-led case studies of what is actually working in enterprise AI adoption, so the analysis a board hears is grounded in field evidence rather than vendor positioning. He translates AI capability into operating model decisions: where to redesign workflows, how to govern adoption, which workforce shifts to plan for. The conversation moves from technology curiosity to structural choice. He carries credibility on both sides of the table, having advised technology vendors on go-to-market and Fortune 100 and Fortune 500 leaders on transformation, which lets him read where vendor claims meet enterprise reality. His pragmatic stance is explicit: no silver bullet, no hype framing. Senior buyers get an honest read on adoption maturity, polarisation across the workforce, and the specific points where AI actually changes the cost or quality of work. Forbes Technology Council member and recurring contributor to Training Magazine, the Learning Guild and ATD, with two TD Magazine cover stories, giving the body of published thinking a paper trail leaders can verify. Biography highlights Founder of Endeavor Intelligence, an independent AI strategy research and advisory firm Author of The Endeavor Report, a research programme on applied workforce solutions and enterprise AI adoption Co-creator of the TTE AI Strategy Framework with The Thinking Effect Former Chief Evangelist at Obrizum, a deep-tech adaptive learning company Forbes Technology Council member; contributor to Training Magazine, the Learning Guild, ATD and Coaching Magazine Doctorate in physics; two decades of work with Fortune 100 and Fortune 500 organisations Biography Enterprise AI adoption rarely fails on the technology. It fails on the operating model around it: who owns the workflow change, which capabilities the workforce needs next, what governance has to sit underneath. Markus Bernhardt’s work at Endeavor Intelligence is built around that gap. The Endeavor Report, his flagship research programme, sits on real client case studies rather than vendor surveys. It plots organisations across efficiency accelerators, strategic enablers, capability creators and core process innovators, giving leaders a vocabulary for the adoption choice in front of them. The argument is field-tested, and it lands where boards actually decide. His earlier role as Chief Evangelist at Obrizum, a deep-tech adaptive learning company, gave him an operator’s read on how AI changes capability development inside organisations. That experience now feeds the workforce side of his research, alongside published work in Training Magazine, the Learning Guild and ATD, and a seat on the Forbes Technology Council. A physics doctorate sets the underlying disposition. Bernhardt is sceptical of pattern claims that do not survive the data, blunt about where AI actually shifts cost or quality, and explicit that there is no silver bullet for adoption at scale. For senior leaders weighing capital, structure and workforce moves at the same time, that posture is the point. Key speaking topics Enterprise AI strategy and adoption Applied workforce solutions AI governance and operating model design Workforce transformation and capability development Evidence-based decision support for senior leaders AI in learning and performance Future of work in AI-augmented organisations Ideal for C-suite leaders weighing AI investment, governance and operating model decisions CHROs and chief learning officers planning workforce capability shifts Strategy, transformation and innovation leads designing enterprise AI roadmaps Boards seeking an independent, research-backed read on AI adoption maturity Audience outcomes A clearer map of where their organisation sits across the four adoption archetypes Bernhardt’s research identifies A sharper read on which AI claims to discount and which to act on Specific governance and operating model questions to put to internal teams and vendors A framework for talking about workforce polarisation as adoption deepens Language a senior team can carry into the next board conversation on AI

Why organisations work with Chris Lyons Direct line into a16z’s deal flow across AI, Web3, and consumer technology, the same intelligence the firm uses to commit capital to companies like OpenAI, Airbnb, and Lyft. A named thesis on culture as a distribution channel for technology, built into the Cultural Leadership Fund, which moved this idea from observation to a fund structure with institutional limited partners. Operator credibility on Web3 specifically, in his role as President, Web3 Media at a16z crypto, at a moment when most boards still treat crypto and AI as separate strategic questions. A perspective on consumer adoption shaped by deep relationships with founders and cultural leaders, useful for brand, media, and consumer-facing organisations trying to understand what the next decade looks like. Biography highlights General Partner at Andreessen Horowitz; President, Web3 Media at a16z crypto. Founder of the a16z Cultural Leadership Fund, Silicon Valley’s first venture fund with 100% African American Limited Partners. Helped launch a16z’s first $400M Seed Fund in 2021. Board director at Yuga Labs, The James Beard Foundation, The Black Economic Alliance, and New Story Charity. Kauffman Fellow, Class of 2019. Closing keynote, Harvard Business School Black Investment Club Conference, on “Culture as an Asset Class.” Biography Most boards now have AI and Web3 on the agenda. Far fewer have a credible read on which companies and behaviours inside those categories will actually scale. That read is the working asset of a senior venture partner at Andreessen Horowitz, and it is what Chris Lyons brings into a room. Lyons joined a16z in 2013 as Chief of Staff to co-founder Ben Horowitz, with an internal mandate to build deep relationships with founders regardless of investment status. That work became the architecture for the firm’s later positions in companies including OpenAI, Airbnb, and Lyft. He was promoted to General Partner in 2021 and helped launch a16z’s first $400M Seed Fund the same year. In 2018 he founded the Cultural Leadership Fund, a vehicle built on the thesis that cultural leaders, athletes, entertainers, and executives, drive how new technology gets adopted. CLF was structured with 100% African American Limited Partners, with fees and carry directed to organisations advancing Black participation in technology. The fund made the cultural distribution argument institutional. He now leads Web3 Media at a16z crypto and sits on the boards of Yuga Labs, The James Beard Foundation, The Black Economic Alliance, and New Story Charity. The combination of operator inside the firm and connector across culture, capital, and consumer technology is rare at his level of venture seniority. Key speaking topics Artificial intelligence and generative AI Web3 and digital ownership Venture capital and emerging technology Consumer technology adoption Culture as a driver of technology distribution Entrepreneurship and scale Diversity in technology and capital Ideal for Chief executives, boards, and corporate development leaders setting strategy on AI, Web3, and consumer technology CMOs and brand leaders rethinking how cultural relevance translates into commercial advantage Investment committees and family office principals reading the next venture cycle Innovation, partnerships, and ventures teams scouting categories and founders Audience outcomes A clearer view of which AI and Web3 categories are attracting serious capital and why A working framework for thinking about cultural influence as a real distribution mechanism, not a marketing layer Specific examples from inside a16z’s portfolio that illustrate how consumer technology actually scales A more grounded read on where venture conviction sits today, set against media noise

Why organisations work with Cassie Kozyrkov She built the Decision Intelligence function inside Google from scratch and ran it for five years, which means leaders get advice from someone who has already solved, at scale, the problem they are trying to solve. She named and codified the field itself. When a CEO asks what Decision Intelligence is and why their AI investment should sit inside it, she is the primary source, not an interpreter of someone else’s framework. She personally trained more than 20,000 Googlers across every function in data-driven decision-making and AI, so she knows how to make the material land with non-technical executives as well as engineers. She translates AI and statistics into decision-language that boards and operators can use. Her Making Friends with Machine Learning course, originally built only for Google, is now the reference explainer for thousands of leaders outside the company. She advises at the level the material requires. Her Federal Reserve Bank of New York Innovation Advisory Council seat and her work with Forbes on AI signal that her analysis is taken seriously by policy and media institutions, not only by corporate buyers. Biography highlights Google’s first Chief Decision Scientist (2018 to 2023), leading the firm’s decision intelligence practice inside Research and Machine Intelligence. Founder and CEO of Kozyr, an AI advisory and education business serving senior leaders and their teams. Personally trained more than 20,000 Googlers in data-driven decision-making and AI, and guided over 500 decision intelligence projects inside Google. Creator of Making Friends with Machine Learning, originally an internal Google course, now a free public course on YouTube. Author of the Decision Intelligence Substack and LinkedIn Top Voice for six consecutive years; writing has appeared in Harvard Business Review, Fortune, Fast Company, WIRED, and The Wall Street Journal. Member of the Federal Reserve Bank of New York’s Innovation Advisory Council (2023 to 2024); Duke University Few-Glasson Distinguished Alumna. Biography Most companies do not have a data problem, they have a decision problem. The dashboards, pipelines, and models are in place, and yet senior leaders still cannot say which decisions are demonstrably better because of any of it. That gap is the subject Cassie Kozyrkov has been working on for a decade, first inside Google and now with leaders across industries. At Google, she became the company’s first Chief Decision Scientist in 2018 and held the role until 2023. She built a new function that sat between Research and Machine Intelligence on one side and the operating business on the other, and used it to run AI and data through a discipline she calls Decision Intelligence. By the time she left, she had personally trained more than 20,000 Googlers and influenced over 500 projects against that framework. The reason her work travels beyond Google is that she made the material legible. Her course Making Friends with Machine Learning, built inside Google and later released in full on YouTube, is one of the few genuinely plain-English explainers of how machine learning actually fits into business decisions. Her writing in Harvard Business Review, Fortune, Fast Company, WIRED, and The Wall Street Journal has done the same for non-technical executives, and her Decision Intelligence Substack has become a working reference for practitioners. Today she runs Kozyr, advising leadership teams on AI strategy and decision design, and sits on the Federal Reserve Bank of New York’s Innovation Advisory Council on AI and financial markets. The through-line is consistent. She is the rare AI voice who starts with the decision the organisation is trying to get right, and works backwards to the technology, rather than the other way round. Key speaking topics Decision Intelligence AI strategy and adoption Data-driven decision-making Machine learning for business leaders Responsible and effective use of AI AI literacy for executives Bias and judgement in AI systems Ideal for CEOs, boards, and executive teams setting AI strategy and capital allocation against it Chief Data, Analytics, and AI Officers building a decision-intelligence operating model Transformation and strategy leaders responsible for turning AI pilots into business results Leadership programmes and offsites that need genuine AI literacy, not a vendor pitch Audience outcomes A working definition of Decision Intelligence and where it sits relative to data science, analytics, and AI investment. A sharper diagnostic for why AI projects stall: wrong decision scoped, wrong owner, or wrong question asked of the model. Shared language across technical and non-technical leaders for debating AI initiatives without defaulting to buzzwords. Specific techniques for pressure-testing decisions against common biases, including outcome bias and confirmation bias. A realistic read on what current AI systems can and cannot be trusted to decide without human judgement in the loop.

Why organisations work with Danilo McGarry He has run AI inside two of the largest regulated enterprises on the planet. Buyers get an operator who has defended budgets, cleared risk committees and shipped at scale, not a consultant describing other people’s work. His track record is tied to outcomes in the numbers. His work at Alter Domus is associated with a period of significant valuation growth, and his engagements are framed around measurable cost, revenue and risk impact rather than adoption metrics. He sits at the board-level interface of AI. He teaches on the Financial Times Board Directors Programme and advises the CIPD on AI, which means the language he uses lands with directors, not just technologists. He explains complex AI choices in terms non-technical leaders can act on. That is what earns him repeat invitations from banks, insurers, health systems and consultancies where the decision rests with a chief executive or a chair. Biography highlights Former Head of AI at Citigroup, leading enterprise AI and automation inside one of the world’s largest banks. Former Head of AI at UnitedHealth Group, operator of one of the largest software-robot estates in any healthcare business. Former Global Head of AI and Automation at Alter Domus, the fund services group, from December 2019. Strategic adviser on artificial intelligence to the Chartered Institute of Personnel and Development (CIPD). Faculty contributor to the Financial Times Board Directors Programme. Host of the “It’s All About AI” podcast; TEDx speaker; ranked on Thinkers360 and Onalytica lists of leading AI voices. Biography The hard part of enterprise AI is not the model. It is the decision to commit, the governance to contain the risk, and the operational grip to turn a working pilot into a line on the P&L. Danilo McGarry has spent his career on the inside of that problem. At Citigroup he led artificial intelligence and machine learning, launching automation and AI initiatives across capital markets operations. He then became a senior AI leader at UnitedHealth Group, where his remit included a programme of roughly 3,500 software “digital workers” embedded in one of the largest healthcare businesses in the United States. As Global Head of AI and Automation at Alter Domus from 2019, he built an AI and automation function inside a fund services firm through a period of significant growth. Earlier roles at JPMorgan and Royal Bank of Canada gave him the grounding in regulated operations that now sits under everything he says on stage. That operator track record is why boards listen. He is a faculty contributor to the Financial Times Board Directors Programme and strategic adviser on AI to the CIPD, which puts him in front of chairs, chief executives and people leaders making the governance calls. He is cited and quoted in outlets including the Financial Times, The Times, Bloomberg, Forbes and WIRED, and ranks on Thinkers360 and Onalytica lists of leading voices in AI and intelligent automation. His argument on stage is practical. Treat AI as an operating-model question, not a tooling question. Pick the handful of processes where the economics are real, industrialise them, and build the governance that lets the next wave scale without fresh permission every time. It is a message that lands with leadership teams who are tired of pilot decks and want to know what to do on Monday. Key speaking topics Enterprise AI strategy AI operating models and governance Intelligent automation at scale AI in financial services and healthcare Board-level AI literacy Digital workers and the future of operations Responsible AI adoption Ideal for Boards and chief executives setting enterprise AI policy and investment envelopes. CIOs, CDOs and heads of transformation running AI and automation portfolios. CHROs and people leaders rethinking workforce design around AI and digital workers. Regulated-sector leadership teams in banking, insurance, asset servicing and healthcare. Audience outcomes A clearer view of where AI actually moves the numbers inside their own operating model. A working vocabulary for the governance, risk and workforce questions AI creates at board level. Concrete reference points from AI deployments inside Citigroup, UnitedHealth Group and Alter Domus. A sharper read on which AI investments industrialise and which stay trapped as pilots. Confidence to set the next twelve months of AI priorities with fewer, better bets.

Why organisations work with Calum Chace He has built two books and two operating ventures around the same argument: that AI changes capability, then labour, then the structure of the economy. Boards hear a coherent thesis, not a trend update. He coined the term “economic singularity” and wrote the book on it. Leadership teams trying to think clearly about technological unemployment get the original framing, not a recycled version. Through Conscium, the AI safety company he co-founded in 2024, and the linked PRISM research non-profit, he speaks from inside the live debate on machine consciousness and agent evaluation, not from the sidelines. Thirty years across BBC journalism, Financial Times writing, KPMG strategic intelligence and CEO roles mean he frames AI for commercial audiences in language they already use. Biography highlights Co-founder of Conscium (2024), an AI safety company working on neuromorphic computing, AI agent evaluation, and machine consciousness. Co-founder of the Economic Singularity Foundation, a think tank on the future of jobs in an AI economy. Author of Surviving AI and The Economic Singularity, plus the techno-thrillers Pandora’s Brain and Pandora’s Oracle. Co-host of the London Futurist Podcast and the PRISM Podcast on sentient machines. Read Philosophy, Politics and Economics at Oxford; trained as a journalist with the BBC; contributed to the Financial Times. Former director of KPMG’s strategic and commercial intelligence media practice and CEO of several businesses before moving to full-time writing and speaking in 2012. Biography Artificial intelligence is two distinct strategic questions for a board, not one. The first is what AI does to the products and services a business sells. The second is what it does to the labour the business buys. Calum Chace has spent a decade arguing that the second question is the one most organisations are underprepared for, and that the gap between AI as a capability story and AI as an economic story is where the strategic risk sits. His two non-fiction books frame that gap. Surviving AI deals with the long-term safety question once machines start to match and then exceed human capability. The Economic Singularity gave a name to the moment when technological unemployment becomes the dominant labour reality, and made the case that this is a question of decades, not centuries. The economic singularity is now a term other writers use; he wrote the book it came from. The work has continued into operating ventures. In 2024 he co-founded Conscium, an AI safety company developing neuromorphic computing, agent evaluation methods and research on machine consciousness. Conscium has since seeded PRISM, a non-profit researching sentient machines, which he co-hosts as a podcast. Earlier, he co-founded the Economic Singularity Foundation, a think tank on the future of jobs. Before any of that, Chace read PPE at Oxford, trained as a BBC journalist, wrote for the Financial Times, ran the media practice at KPMG’s strategic and commercial intelligence group, and held several CEO roles. That commercial background is why his talks for senior audiences sound like strategy conversations rather than technology briefings, and why he can argue both sides of the AI question, capability and consequence, in the same room. Key speaking topics Artificial intelligence and the two singularities The economic singularity and the future of jobs AI safety, alignment and machine consciousness Digital transformation and AI in the enterprise AI in healthcare AI in education The philosophy of AI Ideal for Boards and executive committees building a long-range AI strategy CHROs and people leaders facing workforce redesign around AI capability Conferences for technology, financial services, healthcare and professional services leadership Government, regulator and policy audiences working on AI governance and labour-market policy Audience outcomes A clearer separation between AI as a product question and AI as a labour question, and a sense of which one their organisation is more exposed to. A working definition of the economic singularity and a view on whether the case for serious technological unemployment is credible. A more informed position on AI safety, machine consciousness and agent evaluation as governance issues, not laboratory topics. Language and reference points senior leaders can use in their own board and investor conversations about AI.

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

Why organisations work with Nick Ayton More than four decades inside computer science and ten founded start-ups give him a working operator’s view of where deep tech actually breaks, not a consultant’s slide on where it might. He translates AI, quantum, and longevity science into capital allocation questions a CFO or investment committee can act on, which is rare among futurists who stop at the trend. His book The Slow Bleed sets out Cash Conversion Velocity, a diagnostic he uses to show CEOs why a profitable business is draining cash and what to fix first, in days rather than quarters. His Living to 150 book and ongoing work on AI-assisted healthcare give him a specific, defensible position on longevity, a topic most technology speakers cannot credibly hold. He chairs global summits where deep tech meets investor capital, including the Family Office Summit in Abu Dhabi, so the audience he speaks to most often is the one buyers are trying to reach. Biography highlights Author, The Slow Bleed: A CEO Field Guide to Cash Conversion Velocity (Redline Press, 2026), with a foreword by Ian Wright, founder of VirtualNonExecs. Author, Living to 150: A New Era in Personalised AI Healthcare (2024). Founder of Crix.io, a regulated crypto-exchange, and Chainstarter Ventures, advising family offices on deep tech investment. Named Blockchain Visionary of the Year by Cointelegraph (2018); founding writer of the “Sage of Shoreditch” column. Named Top Futurist Speaker at the Family Office Summit, Abu Dhabi (2023). Has delivered keynotes and faculty addresses at MIT, Harvard, LSE, and Berkeley, alongside more than 100 global summits, working between the UK and the UAE. Biography Most futurist commentary on AI, quantum, and longevity stops at the trend line. Ayton’s work starts where the boardroom question starts: what does this technology mean for the next ten-year capital decision? After more than four decades in computer science and ten founded companies, he speaks to investors and operators in their own language. His early move into blockchain produced Crix.io, one of the first regulated crypto-exchanges, and the Cointelegraph column that named him Blockchain Visionary of the Year in 2018. The work has since broadened into quantum computing, synthetic biology, and longevity science. His book Living to 150 argues for personalised AI healthcare as the next investable frontier, and he advises family offices on how to position capital around it. A second strand of his work asks why profitable businesses quietly fail. His 2026 book The Slow Bleed sets out Cash Conversion Velocity, a way to measure the real health of an operating model in days, and a structured programme to fix it in months rather than years. The same instinct runs through his keynotes on why digital transformation so often optimises dysfunction instead of removing it. What separates Ayton from the futurist field is the audience he was built for. Family offices, founders, and the investment committees behind frontier-tech bets do not want a vision deck. They want someone who has built companies in the category, taken the losses, and can name which signals matter and which numbers lie. Key speaking topics Artificial intelligence and the next decade of enterprise value Quantum computing and its commercial timeline Data sovereignty and the post-cloud era Biological computing and synthetic biology Longevity sciences and personalised AI healthcare Frontier technology investment for family offices Cash Conversion Velocity and operating-model diagnosis Why digital transformation fails Ideal for Boards and investment committees making long-horizon capital decisions on AI, quantum, or biotech Family offices and private capital allocators positioning around frontier technologies Founders and CTOs in deep tech who need a credible external voice on category direction CEOs, PE operating partners, and family office principals who suspect a profitable business is quietly losing cash Audience outcomes A clearer read on which deep tech signals carry commercial weight and which are noise A working vocabulary for AI, quantum, and longevity that holds up in front of technical and capital audiences Specific examples of where capital is already moving in frontier tech, drawn from family office and founder networks A way to tell whether a profitable business is actually healthy, using cash conversion rather than the backward-looking metrics on the board pack A sharper sense of which technology bets compound over a decade and which expire within two

Why organisations work with Hollie Castro Operating record across the moments that test a people function: IPO transition at YETI, take-private of BMC Software under Bain Capital and Insight Partners, and VC-backed scale-up at Miro under Accel and ICONIQ. Sits credibly in the boardroom on AI and the workforce, co-chairing the NACD Austin chapter and leading director-level sessions on GenAI governance and the multigenerational workforce. Has actually run HR at global scale: workforces of 1,500 to 50,000, 90 countries, budgets to USD 200 million, 25-plus acquisitions integrated. Bridges Fortune 500 and late-stage start-up worlds, including current advisory work with HR-focused AI founders at Series A through her firm HC Advice. Recognised externally where it counts: Financial Times Group Top 100 Board Candidates and the HR Transformation award at Silicon Valley’s High Tech Symposium. Biography highlights Five-time CHRO and Chief Administration Officer: YETI, BMC Software, Talisman Energy, Miro, Kony. Co-Chair, Austin Advisory Board, National Association of Corporate Directors. Advisory Board Member, Texas A&M Mays School of Business Center for Human Resources. Stanford University and NACD certified Corporate Director; MBA, Thunderbird School of Global Management. Financial Times Group Top 100 Board Candidates; HR Transformation award, Silicon Valley High Tech Symposium. Published in Fast Company, Forbes, The Corporate Board, and Directors & Boards; featured at HR Retail and on the Revenue Builders podcast. Biography Few HR leaders have sat in the seat across as many high-pressure transitions. As CHRO, Castro took YETI through its IPO from private equity ownership at Cortec, led BMC Software through its take-private under Bain Capital and Insight Partners, and ran people strategy at Miro and Kony alongside Accel and ICONIQ Capital. The thread across those mandates is the same: HR as an operating discipline tied to capital events, not a support function. Her scope has been unusually broad. Workforces of 1,500 to 50,000, operations in 90 countries, budgets to USD 200 million, and more than 25 acquisitions integrated. That range includes the cultural architecture work that ESG and compensation committees now ask for, as well as the harder M&A integration calls that decide whether a deal earns its thesis. The board work has become a second discipline. Castro co-chairs the Austin advisory board of the National Association of Corporate Directors and led the 2024 NACD Director Summit conversation on how boards govern GenAI alongside a five-generation workforce. She is a Stanford and NACD certified Corporate Director, a Thunderbird MBA, and was named to the Financial Times Group’s Top 100 Board Candidates. Today she advises HR-focused AI founders at Series A through HC Advice and writes for Fast Company, Forbes, The Corporate Board, and Directors & Boards on the governance questions that follow when HR is asked to deploy AI at scale. Key speaking topics The CHRO as a strategic business partner Generative AI in HR and talent acquisition Global HR strategy and M&A integration Board governance of AI and the workforce Scaling people functions through IPO and take-private events ESG, compensation, and human capital in the boardroom The multigenerational workforce Agile HR and design thinking Ideal for CHROs, Chief People Officers, and CPO-track HR leaders preparing for board-facing roles. Boards, compensation committees, and audit committees engaging with AI, human capital, and ESG oversight. CEOs and executive teams in private equity portfolio companies or scale-ups preparing for IPO, M&A, or take-private events. Leadership programmes for senior women in operating and director roles. Audience outcomes A clearer picture of what boards now expect from HR on AI, talent risk, and human capital reporting. Specific reference points on integrating HR through IPO, take-private, and cross-border M&A. A working view of how generative AI is changing talent acquisition and the CHRO operating model. Director-level language for governing AI ethics, workforce design, and compensation in tandem.

Why organisations work with Miloš Maričić He gives investment boards a working diagnostic for distinguishing real machine learning from AI marketing, anchored in his SPEC framework and his CFA Institute Enterprising Investor work on weak quant models. He chairs Executive AI, the network of CEOs of major European institutional investment organisations, and represented that industry in the EU Artificial Intelligence Act standardisation process. Few speakers can describe AI regulation from inside the room where the rules were written. He has co-edited the Routledge Handbook of Artificial Intelligence and Philanthropy with the University of Geneva, the standard reference for AI in the social sector. That gives foundations and philanthropic boards a credible voice on the same subject. He has built and exited two AI companies and ranks in the top five per cent of the Numerai global leaderboard for market prediction models, so the technical claim is matched by personal track record. He is an OECD AI Expert and a World Economic Forum contributor, which means his framing is already calibrated for senior policy and regulatory audiences. Biography highlights Founder of the Altruist League, Geneva, a philanthropy consultancy whose network reports AUM above USD 10 billion. Chair of Executive AI, a network of CEOs of major European institutional investment organisations. AI Expert at the OECD and contributor at the World Economic Forum. Co-editor, The Routledge Handbook of Artificial Intelligence and Philanthropy, Routledge, 2024. Co-author, Fixing Philanthropy: Six Principles for Actually Improving the World When Giving Away Money, 2021. Educated at the London School of Economics, New York University and Harvard Business School. Biography Most institutional investors now have AI somewhere in their portfolio, their managers, or their operations. Very few have a working method for telling genuine machine learning from a factor model dressed up for a board meeting. That is the gap Maričić has spent his career filling, first inside his own AI ventures, now as Chair of Executive AI, the network of CEOs of major European institutional investment organisations. His SPEC framework, developed for capital allocators and published through CFA Institute’s Enterprising Investor, gives investment committees a short diagnostic for evaluating quantitative managers who claim AI capability. It is the kind of practical tool a CIO can take into a manager meeting on Monday morning. He represented the institutional investor industry in the EU Artificial Intelligence Act standardisation process, and serves as an AI Expert at the OECD and a contributor at the World Economic Forum. Maričić founded the Altruist League, a Geneva-based philanthropy consultancy that pioneered the use of AI in sourcing investments, distributing funds and managing portfolios, and whose network now reports AUM above USD 10 billion. With Giuseppe Ugazio at the University of Geneva, he co-edited The Routledge Handbook of Artificial Intelligence and Philanthropy, the 2024 reference work for foundations and social sector boards thinking about AI governance. He is educated at the London School of Economics, NYU and Harvard Business School, ranks in the top five per cent of the Numerai global leaderboard for market prediction models, and writes The Specification, a newsletter that translates frontier AI research into practical tools for institutional allocators. Key speaking topics AI governance for investment boards and fiduciary committees Due diligence on machine learning in quantitative investment strategies AI regulation, the EU AI Act and institutional capital allocation AI in philanthropy and the social sector Causal inference and the limits of factor investing Geopolitics of AI for sovereign wealth funds and central banks Trust-based giving and systemic-change philanthropy Ideal for Chief Investment Officers, investment committees and manager-selection teams at pension funds, sovereign wealth funds, central banks and endowments Boards of foundations and philanthropic organisations setting AI strategy and governance Risk, audit and fiduciary committees taking responsibility for AI-driven strategies they did not build Senior policy and regulatory audiences working on AI in financial services Audience outcomes A clear diagnostic for distinguishing real machine learning from AI marketing inside quantitative managers Specific questions a board or investment committee can put to managers and internal teams about AI claims A current read on the EU AI Act and what it means for institutional allocators in practice A grounded view of where AI is genuinely changing philanthropy and where it is hype A working vocabulary for fiduciary AI oversight that does not require a technical background

Why organisations work with Cornel Amariei Operator credibility on both sides of the innovation question: ran innovation as Head of Innovation at Continental Automotive with patents adopted across European electric vehicles, then built .lumen from research project to a venture-backed company. Built the first Romanian company to receive EIC Accelerator funding, with a €9.7M blended finance package and a €5M January 2025 round led by Catalyst Romania alongside the EIC Fund. The story is a working playbook on European deep-tech capital formation. Working at the intersection of autonomous driving, robotics and assistive technology, with a defensible patent portfolio. Useful to leadership teams thinking about how to convert AI and sensor capability into a product proposition with a real customer. Recognition from credible institutions, not bureau awards: Forbes 30 Under 30 Europe, JCI Ten Outstanding Young Persons of the World, Global Business Hall of Fame. A personal stake that travels well into corporate audiences. Grew up in a family where every member had a disability, and built a company that addresses an underserved global market of 40 million blind people. Authority on social impact ventures without the activist framing. Biography highlights Founder and CEO, .lumen. Pedestrian Autonomous Driving technology, first deployed in glasses for blind users. Former Head of Innovation, Continental Automotive. Patents applied in European electric vehicles. First Romanian inductee, Global Business Hall of Fame, 2021. Innovators category, alongside Canva’s Melanie Perkins. Forbes 30 Under 30 Europe; JCI Ten Outstanding Young Persons of the World. Author, “Arduino Development Cookbook” (Packt Publishing, 2015). Alumnus, Constructor University (formerly Jacobs University Bremen). Biography A research project inside a Romanian engineering team in 2018 became, by early 2020, a venture called .lumen. By 2025 the company had closed a €5M round led by Catalyst Romania with the European Innovation Council Fund and Tigrim Capital alongside it, the latest tranche in a €9.7M blended finance package that made it the first Romanian startup to take EIC Accelerator capital. The product, Pedestrian Autonomous Driving, was first demonstrated in glasses that replicate and extend the function of a guide dog. The global addressable problem is concrete: roughly 40 million blind people, fewer than 20,000 guide dogs. The biography behind the company matters because it explains the design choice. Cornel Amariei grew up in a family where every member had a disability: parents with locomotor conditions, a sister with cerebral palsy. The motivation is not a brand layer on top of a venture. It is the reason the venture exists. Before .lumen, Amariei was Head of Innovation at Continental Automotive, where his patent work was integrated into European electric vehicles. That experience matters for boards thinking about innovation governance. He has run the discipline inside a multinational tier-one and built it from scratch as a founder, which is rare in a market where most speakers have done only one. The recognition is from named institutions: Forbes 30 Under 30 Europe, JCI’s Ten Outstanding Young Persons of the World, and induction into the Global Business Hall of Fame in 2021 as the first Romanian laureate, in the innovators category alongside Canva founder Melanie Perkins. He is also a published technical author with Packt and an alumnus of Constructor University in Bremen. Key speaking topics Deep-tech entrepreneurship and scale-up leadership Innovation management inside multinationals Assistive technology and accessibility ventures Autonomous driving and robotics applied to consumer products Patent strategy and IP-led product development European deep-tech capital and the EIC Accelerator route Social impact through technology commercialisation Ideal for Innovation, R&D and CTO leadership inside industrials, automotive and consumer technology Boards and executive committees reviewing how invention is governed and converted to product ESG, accessibility and inclusion programmes seeking a credible technology voice rather than an activist one Entrepreneurship summits, deep-tech investor events and scale-up programmes across Europe Audience outcomes A working view of how a research prototype becomes a regulated, funded, commercial product A founder’s account of building patent value inside both a multinational and a startup A grounded reference point for what European deep-tech capital, including EIC blended finance, actually requires of a company A clearer sense of where assistive and accessibility technology is going as autonomous driving capabilities scale down to wearables A reset on what social impact looks like when it is a product proposition rather than a corporate programme

Why organisations work with Deborah Nas Her book Design Things That Make Sense sets out a codified methodology: 24 strategies to strengthen what technology offers users and 13 to reduce the resistance that causes adoption to fail. It gives innovation teams a structured diagnostic rather than a set of principles to interpret on their own. She founded the Centre for Quantum and Society at QuantumDelta NL – making her one of very few people who can address quantum technology’s ethical, legal, and organisational implications in terms senior teams can act on before the technology reaches commercial scale. Her position leading multidisciplinary research teams at TU Delft – on mobility futures, quantum societal readiness, and energy transition – means her perspective is shaped by live scientific frontier work, not commentary on published trends. She is on the investment committee of InnovationQuarter Capital, a €143 million deep tech fund, and on the supervisory board of Hardt Hyperloop – direct sight lines into where deep tech investment is moving, not just where it currently stands. Her starting point is the psychology of technology resistance – the reason most implementation initiatives stall – which is the question most organisations have not structured an answer to and the one that most directly explains expensive innovation failures. Biography highlights Professor of Strategic Design for Technology-based Innovation, Faculty of Industrial Design Engineering, TU Delft Initiative Lead and founder, Centre for Quantum and Society, QuantumDelta NL Author, Design Things That Make Sense (BIS Publishers) – a practitioner framework of 37 named design strategies for technology-based product innovation Visiting professor, Politecnico di Milano Investment committee member, InnovationQuarter Capital (€143 million deep tech fund); supervisory board member, Hardt Hyperloop MSc Industrial Design Engineering with honours, TU Delft; 16 years co-founding and running a strategic innovation agency Biography Technology that works and technology that people will actually use are two different achievements. Deborah Nas, Professor of Strategic Design for Technology-based Innovation at TU Delft’s Faculty of Industrial Design Engineering, has spent 25 years studying the gap between them. She began at Philips and KPN, then spent 16 years co-founding and running a strategic innovation agency before anchoring her work in research and teaching at TU Delft. Her core contribution is a codified methodology: 24 design strategies to strengthen what a technology product offers and 13 to reduce the user resistance that causes adoption to fail. Published in Design Things That Make Sense (BIS Publishers), the framework draws on consumer psychology and is structured for direct use by product teams and innovation managers. She also teaches it as a visiting professor at Politecnico di Milano. She has extended this work into the next generation of technology adoption challenges. As founder and Innovation Lead of the Centre for Quantum and Society at QuantumDelta NL, she is developing the ethical, legal, and societal frameworks organisations will need before quantum technology reaches commercial scale. She is also on the supervisory board of Hardt Hyperloop and on the investment committee of InnovationQuarter Capital, a €143 million deep tech fund. Organisations that work with her are not typically looking for enthusiasm about what emerging technology can do. They want a structured answer to why technology investments fail at the point of adoption – and a methodology that gives their teams a way to act on it. Key speaking topics Technology adoption and consumer resistance Human-centred design for technology-based innovation AI strategy and organisational readiness Quantum technology and societal implications Deep tech ecosystem and investment landscape Future of work and intelligent systems Innovation strategy for established organisations Ideal for Chief Innovation Officers, R&D leads, and product strategy teams working with emerging technologies Boards and senior leadership teams making investment decisions on AI, quantum, or deep tech Corporate innovation functions examining why technology projects stall or fail at adoption Government and public sector bodies engaging with the organisational and societal implications of advanced technologies Audience outcomes A clear framework for understanding why technology-based products fail at adoption – and what design decisions change that outcome Working familiarity with the Tech Design Strategies methodology: 24 strategies to strengthen product benefits and 13 to reduce user resistance Practical orientation to how AI and quantum technologies will affect their specific industry or sector Ability to separate technological capability from technology adoption as distinct strategic problems requiring different organisational responses Insight into how organisations and investors at the deep tech frontier are currently making decisions about technology bets

Why organisations work with Johnny C Taylor Jr He speaks for the formal voice of the global HR profession. SHRM represents nearly 340,000 members influencing more than 362 million workers, which gives his read on workforce trends institutional weight no individual consultant can claim. His book RESET gives executives a structured argument for treating talent, culture, and inclusion as the primary commercial constraint, not technology or capital. He has testified to Congress on workforce policy and chaired the President’s Advisory Board on HBCUs, so he can frame people decisions inside the actual policy and regulatory weather boards are operating in. He writes USA Today’s weekly “Ask HR” column and co-hosts The Work Wire podcast, which keeps his content tested against real questions from working managers, not theory. He has run the talent function at large operating companies including Paramount Pictures, Blockbuster, IAC, and Compass Group, so the perspective is operator-grounded, not academic. Biography highlights President and CEO of SHRM, the largest HR professional body in the world, with members in 180 countries. Author of RESET: A Leader’s Guide to Work in an Age of Upheaval, a Wall Street Journal and national bestseller. Fellow of the National Academy of Human Resources; named Distinguished Executive of the Year by the Academy of Management. Former CEO of the Thurgood Marshall College Fund; chaired the President’s Advisory Board on Historically Black Colleges and Universities. Board director at XPO, Inc. (NYSE: XPO), Guild Education, and Flores HR; Vice Chair, University of Miami Board of Trustees. USA Today columnist on workplace questions; co-host of The Work Wire podcast. Biography The workforce that most boards still describe is the workforce they had in 2019. The one they actually employ has been remade by remote work, AI deployment, five generations on the org chart, and political tension that now arrives at the office door. SHRM’s research, and the questions arriving in Taylor’s USA Today column every week, point at the same gap. Taylor leads SHRM, the global professional body for human resources, with nearly 340,000 members across 180 countries. The seat gives him a working dataset of how organisations of every size are responding to AI adoption, hybrid work, talent scarcity, and contested cultural questions. RESET, his 2021 Wall Street Journal bestseller, made the central argument plainly: the binding constraint on most companies is not capital or technology, it is whether they can find, hire, and engage the people who can use either one. That argument is unusual because it comes from an operator. Before SHRM he was CEO of the Thurgood Marshall College Fund and held senior HR and legal roles at Paramount Pictures, Blockbuster, IAC, and Compass Group USA. He is a Fellow of the National Academy of Human Resources, holds a JD and MA from Drake University, and is admitted to the bar in Florida, Illinois, and Washington, D.C. He has testified to Congress on sexual harassment, paid leave, and workforce development, chaired the President’s Advisory Board on HBCUs, and serves on the boards of XPO, Guild Education, and Flores HR. The Academy of Management named him Distinguished Executive of the Year in 2020. For senior teams trying to run a credible people strategy in front of a board that wants commercial answers, that combination of practitioner authority, policy access, and published thesis is hard to assemble from any other speaker on the topic. Key speaking topics Future of work Talent acquisition and retention Workplace civility and culture AI and the human workforce Workforce policy and regulation Inclusion in a contested political climate Multigenerational workforce dynamics Employee engagement and the social contract of work Ideal for CHROs and senior HR leadership wrestling with talent, engagement, and culture as board-level metrics. CEOs and boards of directors recalibrating workforce strategy around AI, hybrid models, and inclusion. Industry associations and member events convening HR, legal, and operations leaders. Executive offsites and town halls where the people agenda is the central commercial question. Audience outcomes A clearer view of which workforce shifts are temporary and which are structural. A defensible case for treating culture, civility, and engagement as commercial inputs, with evidence drawn from SHRM’s member data. A sharper read on how policy, regulation, and political climate will shape people decisions over the next 12 to 24 months. Practical positions on AI adoption, hybrid work, and inclusion that can survive contact with a sceptical board. A vocabulary for talking about talent that aligns HR, finance, and the C-suite around the same problem.