Analisi dei dati

Why organisations work with Adrian Joseph He has run an AI and data function of roughly 1,600 people inside a FTSE 100 company, so his advice to boards reflects what it takes to deliver at that scale, not what a strategy deck suggests. He sits on the boards of Direct Line, Allwyn and Great Ormond Street Hospital, giving him a current view of how AI lands in insurance, gaming and healthcare rather than a single-sector perspective. As an Expert Member of the UK AI Council he contributed to the National AI Strategy, so he reads regulation and policy as someone who has been inside the room, not as an outside observer. He holds an OBE for services to equality and diversity in business and was named the UK’s most influential minority ethnic technology leader by the Financial Times and Inclusive Boards, which sharpens his credibility on the workforce side of AI transformation. His career path through Google, EY and BT gives audiences a rare triangulation: the hyperscaler view of what the technology can do, the consulting view of how to sell change internally, and the operator view of what actually breaks. Biography highlights Former Chief Data and AI Officer, BT Group, leading approximately 1,600 data and AI professionals. Former Senior Partner and Head of UK Data and Analytics for Financial Services at EY. Over ten years in senior leadership roles at Google across cloud, digital and data science. Non-Executive Director at Direct Line Insurance Group, Allwyn UK and Great Ormond Street Hospital NHS Foundation Trust. Expert Member of the UK Government’s AI Council and former Non-Executive Director at the Home Office. OBE for services to equality and diversity in business; named the UK’s most influential BAME technology leader by the Financial Times and Inclusive Boards. Biography Running an AI and data function of 1,600 people inside BT Group taught Adrian Joseph OBE what most board conversations about AI miss. The commercial case is not won in the model. It is won in the operating model, the talent pipeline and the patience of the leadership team to let value compound. That operator’s view is what he brings into the room. Before BT, he spent over a decade at Google in senior cloud, digital and data science roles, then led the UK Data and Analytics practice for Financial Services at EY as a Senior Partner. The path gives him three lenses on the same problem. Hyperscalers built the infrastructure. Consultancies sold the transformation story. Incumbents have to actually run the thing in production under regulatory scrutiny. He currently holds non-executive director roles at Direct Line Insurance Group, Allwyn UK, the National Lottery operator, and Great Ormond Street Hospital for Children NHS Foundation Trust, and sits on the Technology Advisory Board at NatWest Group. As an Expert Member of the UK Government’s AI Council he contributed to the National AI Strategy, and served as a Non-Executive Director at the Home Office from 2015 to 2020. He was awarded an OBE in the 2019 New Year’s Honours for services to equality and diversity in business, and the Financial Times and Inclusive Boards named him the UK’s most influential Black, Asian and ethnic minority technology leader. That recognition is not decoration on the CV. It sharpens his argument that the AI advantage large organisations seek is inseparable from who they let build and govern the systems. Key speaking topics Enterprise AI strategy and commercial return Responsible AI and governance Data and AI operating models at scale Digital and cloud transformation in regulated industries AI policy and the National AI Strategy Diversity and inclusion in technology leadership Board-level oversight of AI risk Ideal for CEOs, CFOs and boards under pressure to show commercial return from AI and data spend Chief Data Officers, CIOs and CTOs building or restructuring AI and data functions Financial services, insurance, healthcare and public sector leaders navigating AI in regulated environments CHROs and transformation leads addressing the talent and inclusion dimension of AI adoption Audience outcomes A sharper line between AI activity that produces commercial return and AI activity that produces slides A realistic view of what an AI and data operating model looks like at enterprise scale, from someone who ran one Current reading of UK AI policy and regulation from inside the AI Council and National AI Strategy work Practical signals for boards on where to probe AI risk, governance and delivery maturity Language for connecting AI capability to workforce, talent and inclusion strategy

Why organisations work with Ali Rebaie He reads AI adoption through anthropology and phenomenology, which exposes cultural and behavioural risks that pure technical assessments miss. He founded Rebaie Analytics Group in his early twenties and has since advised Fortune 500 clients across sectors on AI strategy, giving him pattern recognition across industries that a single-sector advisor cannot offer. Through Kiangle.ai he has built METIS, a generative AI scenario-planning platform, so his advice to boards comes from someone actively shipping the technology, not only commenting on it. He speaks to the human sciences side of AI, covering machine consciousness, decision intelligence, and the effects on children and future generations, which lets him hold a boardroom conversation that moves past tooling into governance and values. His analyst background, including a seat on the Boulder BI Brain Trust advisory board, gives him access to the vendor landscape most executives only see through sales decks. Biography highlights Founder and President, Rebaie Analytics Group, an AI and human sciences strategy and research firm with Fortune 500 clients. Founder of Kiangle.ai, Portugal-based, building METIS for generative AI scenario planning. Keynote speaker at MWC Barcelona and Hannover Messe. Advisory Board member, Boulder BI Brain Trust (BBBT). Developed an AI and Machine Learning for Engineering course hosted via UC Berkeley Global. Listed among the top 100 AI influencers globally (self-reported). Biography Enterprise AI projects fail more often on culture than on code. A model ships, a workflow changes, and the people working inside it start making decisions differently, often without anyone noticing until the results move. That is the territory Ali Rebaie works in. He runs Rebaie Analytics Group, the AI and human sciences strategy firm he founded in his early twenties, which now advises Fortune 500 clients on how to adopt AI without losing the judgement and cultural fabric that made them worth automating in the first place. His method treats AI rollout as an anthropological event, something that reshapes how a team thinks, decides, and relates, not only what it produces. The analytical background is substantive. He sits on the advisory board of the Boulder BI Brain Trust, the long-running industry analyst consortium, and developed an AI and Machine Learning for Engineering course hosted via UC Berkeley Global. That gives him a working view of the vendor landscape most executives only see through procurement cycles. The most recent work is operational. Through Kiangle.ai, his Portugal-based venture, he is building METIS, a generative AI scenario-planning platform that combines mathematical simulation with insights from human sciences to stress-test strategic decisions under uncertainty. Boards get an advisor whose views on AI governance are informed by the pressures of actually building one of these systems. Key speaking topics AI strategy and adoption Scenario planning and strategic foresight Decision intelligence Generative AI and enterprise risk Human sciences and AI Future of work and future skills AI governance and responsible technology Ideal for CIOs, CDOs, and CTOs scoping enterprise AI adoption beyond proof-of-concept. Boards and executive committees setting AI governance and risk posture. Strategy and transformation leads running scenario planning on AI-driven market shifts. Industry conferences on AI, data, and the future of technology. Audience outcomes A clearer read on how AI adoption changes behaviour and decision-making inside teams, not only workflows. A working vocabulary for AI scenario planning under genuine uncertainty. Sharper questions for vendors, framed by an analyst who has seen how the market actually sells. A considered position on AI governance that accounts for cultural and human consequences alongside technical ones.

Why organisations work with Amit Joshi His work gives leaders a precise diagnosis of the “islands of excellence” problem – why AI generates results in one function but fails to cross organisational boundaries – and a practical application logic for what has to change structurally and strategically for it to scale. His 2025 book The AI-Centered Enterprise introduces the 3Cs framework: Calibrate, Clarify, Channelize, a practical decision architecture for leaders redesigning organizations around context-aware AI, grounded in documented case studies across multiple industries. He publishes in both Harvard Business Review and MIT Sloan Management Review and has twice won the MSI/H. Paul Root Award for best paper in the Journal of Marketing: a combination that places analytical rigour and commercial applicability in the same conversation. As Co-Director of IMD’s AI Strategy and Agentic Implementation program and Director of its Generative AI for Business Sprint, he works continuously with senior executives from banking, pharma, telecoms, and retail navigating live AI transformations, not retrospective case analysis. Named one of Switzerland’s Digital Shapers in 2020 by a consortium of Swiss media including Bilanz, Handelszeitung, and Le Temps: one of a small group identified as shaping the European digital economy. Biography highlights Professor of AI and Strategy, IMD Business School, Lausanne; joined IMD in 2017 Co-Director, AI Strategy and Agentic Implementation program; Director, Generative AI for Business Sprint and Business Analytics for Leaders program, IMD Author of The AI-Centered Enterprise (2025) and GAIN: Demystifying GenAI for Office and Home (2025) Two-time winner of the MSI/H. Paul Root Award for best paper in the Journal of Marketing (2010 and 2015); Robert D. Buzzell Best Paper Award (2006) Named a Digital Shaper by Bilanz, Handelszeitung, Le Temps, and Digitalswitzerland (2020); voted favourite professor by IMD MBA Class of 2024 Published in Harvard Business Review, MIT Sloan Management Review, Journal of Marketing, and Marketing Science; cited in the Financial Times, Bloomberg, NPR, CNN, and Forbes Led panel discussion at the World Economic Forum, Davos (2020) PhD, UCLA Anderson School of Management; PGDM, Indian Institute of Management Calcutta Biography Most senior leaders now have AI running somewhere in their organisation. The harder question – one that Joshi has built a body of work around – is why it rarely runs everywhere. As Professor of AI and Strategy at IMD Business School in Lausanne, Amit Joshi directs the Generative AI for Business Sprint and co-directs the AI Strategy and Agentic Implementation program, working with executives from banking, pharma, retail, and telecoms on both the strategic and application decisions that determine whether AI scales. His work with organizations across banking, pharma, retail, telecoms, and financial services has produced a sharply specific diagnosis of where enterprise AI goes wrong: not in the technology, but in the organization built around it. The concept he returns to is what he calls “islands of excellence”, AI that works in one function, under one champion, without the structural conditions to spread. His 2025 book The AI-Centered Enterprise, co-authored with Ram Bala and Natarajan Balasubramanian, addresses this directly. The book’s 3Cs framework – Calibrate, Clarify, Channelize – gives leaders a practical architecture for moving from point-solution AI to systems that understand organizational context, intent, and workflow. His earlier book GAIN, co-authored with Michael Wade, makes the strategic case that generative AI is a paradigm shift, not an upgrade, and that the organizational response should reflect that distinction. His research on marketing strategy, analytics, and AI applications has been published in the Journal of Marketing, Marketing Science, Harvard Business Review, and MIT Sloan Management Review. He has twice won the MSI/H. Paul Root Award for best paper in the Journal of Marketing and was named one of Switzerland’s Digital Shapers by a consortium of Swiss media in 2020. His analysis is regularly covered in the Financial Times, Bloomberg, Forbes, and NPR, and he led a panel discussion at the World Economic Forum in Davos. Joshi holds a PhD from UCLA Anderson School of Management and a postgraduate management diploma from the Indian Institute of Management, Calcutta. He started his career as a sales manager at Cadbury India: a background that continues to shape an approach to AI strategy grounded in commercial reality rather than technical possibility. Key speaking topics Enterprise AI strategy and scaling Generative AI implementation Context-aware AI and organizational design Data and analytics capability building AI and commercial strategy Digital transformation leadership Building AI-ready organisations Ideal for C-suite leadership teams shaping or accelerating enterprise AI strategy CDOs, CTOs, and Chief Analytics Officers leading AI and data transformations Boards evaluating AI investment priorities and organizational readiness Senior executive education cohorts in banking, pharma, telecoms, retail, and financial services Audience outcomes A named diagnostic framework for identifying where and why AI is stalling in their organization Clarity on the distinction between context-aware AI and point-solution AI, and its strategic implications for investment and organizational design A practical model – the 3Cs: Calibrate, Clarify, Channelize – for moving from AI pilots to scaled enterprise capability A sharper understanding of how data infrastructure, organizational structure, and AI strategy need to be aligned, not sequenced The ability to evaluate AI proposals against a strategic rationale rather than a technology roadmap alone

Why organisations work with Andreas Clenow He runs the strategies he teaches. ACIES is a working asset manager, not a consulting front. What audiences hear has been tested with real capital, not on a backtest deck. His books, Following the Trend, Stocks on the Move, and Trading Evolved, are reference texts on the CMT curriculum and inside multiple quant shops. Few practitioners can claim that level of influence on the field. He explains systematic investing in plain language that family offices, boards, and fintech founders can act on, without diluting the maths. He has done the operator’s job alongside the trader’s job: hedge fund co-founder, board member, fintech investor, former Reuters Global Head of quant analytics. He understands the business of asset management, not only the modelling. Biography highlights Chief Investment Officer and partner, ACIES Asset Management AG, Zurich Former Global Head of Equity and Commodity Quantitative Research, Reuters Author of Following the Trend (Wiley, 2012; 2nd edition 2022), Stocks on the Move (2015) and Trading Evolved (2019) Author of A Most Private Bank, a novel set inside Swiss private banking MSc Economics, School of Economics, Gothenburg University Keynote speaker at QuantCon NYC, QuantCon Singapore, Bloomberg events, and CMT Association programmes Biography Trend-following used to be a black box that institutional investors paid hedge funds to operate without ever seeing inside. Following the Trend, published by Wiley in 2012, opened the box. The book showed that the diversified managed futures industry runs on a small set of repeatable rules, and it remains a working reference inside CTA shops more than a decade later. Andreas Clenow wrote it as a working practitioner, not a commentator. He is Chief Investment Officer and partner at ACIES Asset Management AG in Zurich, having previously run global equity and commodity quantitative research at Reuters and co-founded hedge funds on both onshore and offshore structures. His follow-up books, Stocks on the Move on equity momentum and Trading Evolved on building strategies in Python, are now standard reading on the Chartered Market Technician programme and inside many quant teams. His argument with audiences is consistent. Most underperformance in capital allocation comes from discretion dressed up as analysis. The remedy is not more analysts. It is a rules-based process, tested across decades of data, with explicit risk budgets and an honest account of what the strategy will and will not do. That argument lands particularly well with family offices, boards of investment committees, and fintech founders trying to build scalable trading businesses, because Clenow has lived each of those roles. He has founded and sold companies, sat on boards, raised seed capital for a hedge fund, and managed institutional money through more than one cycle. The talks reflect that range: systematic investing, the economics of running a quant fund, and what separates a professional desk from a retail operation. Key speaking topics Systematic trend-following and managed futures Equity momentum strategies Quantitative trading and model design Asset management for family offices The business of running a hedge fund Risk budgeting and capital allocation under volatility Python and the modern quant stack Ideal for Family office principals, CIOs and investment committees Asset management and hedge fund leadership teams Fintech founders building systematic trading or wealth platforms Bank and brokerage quant and risk leadership Audience outcomes A clear view of how diversified trend-following actually works as a portfolio strategy, not as marketing language A working test for whether an internal strategy is systematic or discretion in a spreadsheet A realistic picture of the economics of running a quant fund: returns, drawdowns, capacity, and infrastructure Sharper questions to ask managers, vendors and internal teams about model risk and capital deployment

Why organisations work with Andrew Trask He has built the working infrastructure for privacy-preserving AI, not just written about it. PySyft, the open-source framework he created through OpenMined, is used by researchers and engineers to train models on data they never directly see. He sits inside one of the most consequential AI research labs in the world, DeepMind, while also leading an 18,000-strong community of privacy-preserving AI engineers. Few speakers operate credibly in both rooms. His agenda is structured transparency: making it possible for institutions to collaborate on AI without surrendering the underlying data. That is the exact tension a regulated industry leader is now trying to solve. He teaches the material rather than narrates it. Grokking Deep Learning and his Udacity courses have introduced tens of thousands of practitioners to neural networks and to private AI, which is why technical audiences find him credible rather than performative. Biography highlights Senior Research Scientist, Google DeepMind, working on privacy, federated learning, differential privacy, and secure computation. Founder of OpenMined, an open-source community of more than 18,000 researchers and engineers building privacy-preserving AI tools. Creator of PySyft, the open-source framework for training machine learning models on data the model owner cannot see. PhD candidate, University of Oxford, on the Oxford-DeepMind Graduate Scholarship; affiliated with the Future of Humanity Institute and the Centre for Governance of AI. Author of Grokking Deep Learning, Manning Publications, and instructor on Udacity’s Secure and Private AI and Deep Learning Nanodegree courses. Term Member, Council on Foreign Relations. Biography The hardest problem in applied AI is not modelling. It is access. The data that would make a healthcare model genuinely useful sits inside hospital systems that cannot legally share it. The data that would make a financial crime model work is split across banks that compete with each other. The default response has been to do less. Trask has spent the last decade building the technical answer to that problem. Through OpenMined, the open-source community he founded, he created PySyft, a framework that lets engineers train models on data they never directly see. The underlying methods, federated learning, differential privacy, secure multi-party computation, homomorphic encryption, are what serious AI governance now relies on. He calls the broader agenda structured transparency, and it is becoming the operating vocabulary for AI deployment in regulated settings. The institutional positioning matters. He is a Senior Research Scientist at Google DeepMind and a PhD candidate at Oxford, funded by the Oxford-DeepMind Graduate Scholarship and affiliated with the Future of Humanity Institute and the Centre for Governance of AI. He is also a Term Member of the Council on Foreign Relations. That combination puts him inside the frontier AI conversation and inside the AI governance conversation at the same time, which is unusual. The teaching record is the test of whether his ideas travel. Grokking Deep Learning, published by Manning, taught a generation of engineers how neural networks actually work. His Udacity courses on secure and private AI did the same for the privacy-preserving stack. The reason senior technical audiences treat him as a primary source rather than a commentator is that they have already worked through his material. Key speaking topics Privacy-preserving artificial intelligence Federated learning and secure computation AI governance and structured transparency Differential privacy in practice AI safety and responsible deployment The future of data infrastructure for AI Foundations of deep learning for non-specialists Ideal for Chief AI officers, CTOs, and chief data officers in regulated industries (healthcare, financial services, government) deciding how to deploy AI on sensitive data. Boards and audit committees pressure-tested on AI governance, data risk, and the gap between AI ambition and AI infrastructure. Heads of research, innovation, and product engineering teams building the next generation of AI products. Policy and public-sector leaders responsible for AI standards, data sharing, and international AI governance. Audience outcomes A working mental model of the privacy-preserving AI stack, named technique by named technique, instead of the usual abstractions. A clearer view of which AI use cases are unlocked by federated learning and secure computation, and which remain blocked by data access. A grounded read on where AI governance is heading, from someone inside both DeepMind and the Oxford AI governance ecosystem. A direct sense of how to move from AI pilots to deployments that survive regulatory and reputational scrutiny.

Why organisations work with Anna Rosling Rönnlund Her Factfulness framework – co-developed with Hans and Ola Rosling and verified through Gapminder’s systematic global testing – gives leadership teams a named, testable inventory of the cognitive instincts that distort how they read global trends; knowing which instinct is operating is more actionable than being told to think more carefully about data. Dollar Street, the income-sorted photographic database she founded at Gapminder, organises 30,000+ images from 50+ countries by purchasing power rather than by geography – showing what global consumers actually look like at different spending levels in a way that statistical reports rarely achieve. She brings a combination almost nobody in this space can match: rigorous sociological training (Lund University), professional photography, senior UX design at Google, and twenty years building Gapminder’s data tools for mass, non-specialist audiences. Factfulness has sold over 2.5 million copies in 45+ languages; organisations engaging her work are connecting to a framework already embedded in business schools, executive education programmes, and corporate strategy teams internationally. She leads ESG and SDG literacy workshops using Gapminder’s verified, publicly available global datasets – giving organisations a grounded, non-ideological entry point to sustainability strategy built on measurable global reality rather than advocacy frameworks. Biography highlights Co-founder and VP, Head of Design and User Experience, Gapminder Foundation (est. 2005, Stockholm) Designed Trendalyzer – the animated bubble-chart visualisation tool – acquired by Google in 2007; Senior UX Designer, Google Mountain View (2007-2010) Co-author, Factfulness (Flatiron Books, 2018) – New York Times bestseller; 2.5 million+ copies sold; 45+ language editions Founder of Dollar Street (2016) – 30,000+ income-sorted photographs from 50+ countries, free under Creative Commons licence TED speaker (2017): “See how the rest of the world lives, organized by income” Honorary Doctorate in Informatics, University of Skövde (2018) Fast Company World Changing Ideas Award, Photography and Visualization category (2017) Biography Global strategy conversations are routinely shaped by assumptions that are decades out of date. Gapminder, the foundation Anna Rosling Rönnlund co-founded in 2005, was built to measure this problem precisely. It tests what people believe about the world, identifies where those beliefs are provably wrong, and develops tools to correct them. Her first major contribution was Trendalyzer, an animated visualisation tool she designed with Ola Rosling that made decades of development data readable in seconds. Google acquired it in 2007. When she and Ola returned to Gapminder in 2010, the mission shifted from visualisation to diagnosis: systematically testing what educated, experienced people get wrong about global development – and why. That diagnostic work produced Factfulness, co-authored with Hans Rosling and Ola Rosling and published in 2018. The book names ten cognitive instincts – including the gap instinct and the generalisation instinct – that cause leaders to systematically misread global trends. It became a New York Times bestseller, with over 2.5 million copies sold across 45 languages. Her parallel project, Dollar Street, sent photographers to 50+ countries to document everyday life at every income level – 30,000+ images, organised by purchasing power rather than geography. These images replace national stereotypes with income-level reality, giving organisations a concrete tool for understanding global consumers. Anna holds a Master’s in Sociology from Lund University and a Bachelor’s in Photography from Gothenburg University. She was awarded an Honorary Doctorate in Informatics from the University of Skövde in 2018 and received the Fast Company World Changing Ideas Award in the Photography and Visualization category in 2017. Key speaking topics Fact-based decision-making and the Factfulness framework Global development trends and emerging market realities Data visualisation and communicating complexity to non-specialist audiences Consumer demographics and income-level market analysis Dollar Street and visual approaches to global data ESG and SDG literacy for business Strategic misconceptions and cognitive bias in leadership Ideal for Boards and senior leadership teams making strategic decisions about global markets, risk, or emerging economies Chief Strategy Officers and heads of corporate strategy evaluating long-term assumptions and scenario plans Sustainability and ESG leads working with SDG frameworks and global impact data Leadership development and executive education programmes building data literacy and fact-based reasoning habits Audience outcomes A working understanding of the ten Factfulness instincts and how they distort strategic decision-making Practical methods for identifying and correcting the shared assumptions driving organisational strategy A reframed view of global consumer markets using Dollar Street’s income-level visual data, reducing reliance on outdated country stereotypes Greater confidence in questioning shared assumptions during leadership team discussions and board conversations Awareness of which global trends are measurably improving versus declining, grounded in Gapminder’s verified datasets

Why organisations work with Anne Hoyer She has built IoT and digital innovation functions inside SAP, CGI France and Danfoss. Boards get a practitioner’s view of why these programmes stall before ROI arrives. Her Copenhagen Goodwill Ambassador position gives her privileged access to one of the world’s most studied Smart City programmes, which she translates into concrete lessons for corporate and municipal leaders. She works natively in the partnership economics of modern technology: when to build capability in-house versus when to co-create with hyperscalers and scale-ups. Leadership teams leave with a sharper model of how their own tech ecosystem should be structured. A former radio and podcast host before moving into tech, she brings communications discipline to the stage that IoT speakers often lack. Complex material reaches commercial audiences cleanly. Biography highlights Head of Partnerships in Digital Services at Danfoss, leading partnership strategy as the group operates as a Microsoft-managed ISV. Previously headhunted to CGI Business Consulting France in 2018 to launch the firm’s SAP Advanced Technology practice. Began her technology career at SAP, reaching a global IoT role in Barcelona within the Leonardo IoT and Predictive Maintenance portfolio. Copenhagen Goodwill Ambassador since 2019 with Copenhagen Capacity, representing the city globally on technology and urban sustainability. Named one of the 30 Inspirational Women to Watch in Tech by Inc.com (2017), shortlisted as Future CIO of the Year by Information Age (2018), and selected as a Global Rising Star by SAP. Chairs the Advisory Board at Smart IoT London and founded Group Saint Honoré, a consultancy supporting tech scale-ups on commercial go-to-market. Biography IoT promised an operational revolution. The industry is still learning to deliver one. Most projects are orphaned between IT and the business, starved of the partner ecosystem that actually makes them scale. This is the terrain Anne Hoyer works in. Her career has tracked that problem from three different angles. At SAP, she progressed to a global IoT role in Barcelona covering Leonardo IoT and Predictive Maintenance Services. In 2018 she was headhunted to CGI Business Consulting in France to launch the firm’s SAP Advanced Technology practice. She now leads partnerships inside Danfoss’s Digital Services function, brokering alliances between big tech, system integrators and scale-ups while the group operates as a Microsoft-managed ISV. The Copenhagen connection runs deeper than geography. Since 2019 she has served as an official Copenhagen Goodwill Ambassador with Copenhagen Capacity, representing the city internationally on technology and urban sustainability. Copenhagen has been named among the world’s smartest cities, and she carries its case study material directly into her corporate keynotes. The stagecraft has history. Before joining SAP in 2015, Anne hosted a weekly show on Danish commercial radio and co-created Trendpodding, the first fashion podcast in Denmark. The communications discipline of those years still shows on stage. Board audiences hear the strategic case without getting lost in the architecture. Her external recognition tracks the work: Inc.com’s 30 Inspirational Women to Watch in Tech (2017), Information Age’s Future CIO of the Year shortlist (2018), and SAP’s Global Rising Star. She also chairs the Advisory Board at Smart IoT London and founded Group Saint Honoré, a consultancy supporting tech scale-ups on commercial go-to-market. Key speaking topics IoT and data-driven innovation Smart cities and urban sustainability Digital transformation in industrial sectors Partnership and ecosystem strategy Women in technology Innovation leadership Ideal for CDOs, CTOs and Chief Innovation Officers running IoT or digital transformation programmes Industrial, energy and manufacturing leadership teams moving from product to software and service models Smart city and municipal leadership teams responsible for urban technology strategy Women-in-tech networks and early-career technology talent programmes Audience outcomes A clearer read on why IoT and digital innovation programmes lose momentum inside large organisations, and where the interventions actually sit Working lessons from one of the world’s most studied Smart City programmes, with direct transfer value into corporate transformation agendas A sharper view of how a leadership team should structure partnerships with hyperscalers, scale-ups and research institutions Confidence that IoT and innovation investments can be sequenced for commercial return when the business case leads the technology choice For younger technology audiences, a credible path from non-technical backgrounds into senior IoT and innovation roles

Why organisations work with Avinash Kaushik He built the intellectual vocabulary a generation of marketers now uses, including the See-Think-Do-Care framework that maps content, media and measurement to real customer intent. Sixteen years as Google’s Digital Marketing Evangelist gave him a view of marketing performance across most of the world’s largest advertisers, not a single case study. He bridges analytics and brand in a room that usually forces leaders to pick one, advising both a measurement firm (Human Made Machine) and a global fashion group (Tapestry). His books sit on the desks of working practitioners in ten-plus languages; the argument has survived translation, platform change and the rise of generative AI. He is unusually direct about what does not work in marketing measurement, which is why senior buyers use him to sharpen internal debates rather than flatter them. Biography highlights Former Senior Director of Global Analytics and Digital Marketing Evangelist at Google, a sixteen-year tenure. Global Chief Strategy Officer at Human Made Machine; Brand Strategy and Marketing Transformation Consultant at Tapestry. Author of “Web Analytics: An Hour a Day” and “Web Analytics 2.0” (Wiley), translated into more than ten languages. Originator of the See-Think-Do-Care framework for intent-based marketing strategy. Recipient of the American Statistical Association’s Statistical Advocate of the Year and the Web Analytics Association’s Most Influential Industry Contributor award. Writes “The Marketing Analytics Intersect” newsletter, read by approximately 55,000 marketing and analytics leaders. Biography Marketing leaders rarely struggle for data. They struggle to decide what any of it means for growth next quarter. That is the problem Avinash Kaushik has spent two decades making tractable, first inside Google as its Senior Director of Global Analytics and Digital Marketing Evangelist, and now as global Chief Strategy Officer at Human Made Machine and brand strategy consultant to Tapestry. His See-Think-Do-Care framework reframed digital marketing around customer intent rather than channel or demographic, and it is now embedded in the working language of marketing teams from consumer goods to financial services. It is a simple idea with a disciplined consequence: measurement and content have to follow the audience’s state of mind, not the agency’s media plan. Two books, “Web Analytics: An Hour a Day” and “Web Analytics 2.0”, carried that argument into practice and have been translated into more than ten languages. The American Statistical Association named him Statistical Advocate of the Year; the Web Analytics Association recognised him as its Most Influential Industry Contributor. He has taught and advised at Stanford, USC Annenberg and the Rotman school at Toronto. What sets his current work apart is the refusal to treat AI as a separate topic. In rooms with CMOs and CFOs, he draws the line from intent-based customer understanding to incrementality-based measurement to where generative AI actually earns its keep. The recommendation is usually sharper and the vendor pitch usually weaker by the time he is done. Key speaking topics Intent-centric marketing strategy Incrementality-based marketing measurement AI and generative AI in marketing Digital analytics and data-driven decision making Customer-centric growth and retention Marketing transformation for senior leaders The See-Think-Do-Care framework in practice Ideal for CMOs and marketing leadership teams rebuilding measurement for an AI-first environment. Boards and executive teams stress-testing the commercial return from digital and marketing investment. Heads of analytics, data and performance marketing aligning with brand and commercial functions. CEO and CFO audiences who want a serious outside view on marketing’s contribution to growth. Audience outcomes A clearer line between customer intent, marketing activity and commercial outcome. A sharper test for whether a measurement approach is actually incremental or just reported. A working critique of how generative AI is being sold into marketing and where it earns real return. A shared vocabulary, grounded in See-Think-Do-Care, that senior teams can use to align content, media and measurement. A more confident internal argument about where to stop investing, not only where to invest more.

Why organisations work with Bernard Marr His frameworks for data strategy and AI adoption are grounded in peer-reviewed academic research from Cambridge and Cranfield – which means they hold up to internal scrutiny in ways that practitioner opinion rarely does. Business Trends in Practice, winner of the 2022 Business Book of the Year Award, gives executive audiences a shared, structured vocabulary for decisions that are otherwise made in fragmented, jargon-heavy conversations. His Forbes column reaches approximately one million readers a month – meaning his conceptual framing is often already in the room before he arrives, which accelerates rather than starts the conversation. He advises organisations across the full spectrum of sectors – from Google and Microsoft to the Bank of England, NATO and the NHS – which gives him a pattern-recognition advantage that single-sector specialists cannot replicate. Where most AI speakers address technology adoption as an IT problem, Marr consistently frames it as a governance and leadership problem – which is what boards and C-suites are actually wrestling with. Biography highlights Research Fellow, Cambridge Judge Business School; subsequently at Cranfield School of Management – before founding Bernard Marr & Co in 2006 Author of more than 20 books on AI, data strategy and digital transformation, published in over 20 languages Business Trends in Practice named Business Book of the Year 2022; additional awards include the CMI Management Book of the Year, Axiom Book Award and WHSmith Best Business Book Award Ranked by LinkedIn as one of the top 5 business influencers in the world Regular contributor to Forbes and the World Economic Forum; media presence includes BBC News, Sky News, the Financial Times, Wall Street Journal and HBR Advisory clients include Amazon, Google, Microsoft, the Bank of England, NATO, the NHS, Shell and the United Nations Biography Bernard Marr spent his early career as a research fellow at Cambridge Judge Business School and then at Cranfield School of Management, where his published work – cited more than 5,400 times – focused on business performance, intellectual capital and strategic measurement. In 2006 he left academia to found Bernard Marr & Co, taking that analytical infrastructure into advisory work with some of the world’s most complex organisations. His books – more than twenty of them, translated into over twenty languages – are not airport business books. Data Strategy, AI Strategy, Generative AI in Practice and Future Skills each address a specific executive decision: how to treat data as a governed asset, how to build an AI adoption roadmap, how to prepare a workforce for automation. Business Trends in Practice won the 2022 Business Book of the Year Award. His writing for Forbes, published at a rate of around three articles per week, gives those frameworks sustained reach into executive audiences between engagements. What makes Marr useful to a board is not that he explains technology well – many speakers do that. It is that he consistently reframes technology questions as governance questions: who owns the data strategy, how do we assess AI risk, what does leadership fluency in this area actually require? These are the questions that stall transformation programmes, and they sit above the pay grade of a CTO. His advisory work spans Google, Microsoft, Amazon, the Bank of England, NATO, the NHS, Shell and the United Nations – a range that gives him cross-sector pattern recognition that sector-specific specialists cannot replicate. The organisations that benefit most from his work are those where the executive team is technically literate enough to know they don’t know enough, and needs a structured way to close that gap. Key speaking topics AI strategy and adoption for executive leadership Data strategy and data governance Generative AI and its organisational implications Digital transformation and business performance Future of work and future skills Emerging technology trends and business impact Strategic performance management Ideal for C-suite and board-level audiences navigating AI and data investment decisions Chief Digital Officers, Chief Data Officers and technology transformation leads Senior leadership teams ahead of major digital transformation programmes Corporate and enterprise conference audiences requiring clarity on technology without technical fluency as a prerequisite Audience outcomes A working framework for evaluating AI and data investments – not just a description of what they are Clearer language for discussing technology strategy at board level, with less dependence on specialist intermediaries Understanding of which emerging technology trends carry genuine near-term organisational implications versus which are still speculative A more structured approach to data governance and the conditions under which data generates strategic advantage Insight into the skills and capabilities organisations will need to build – and which to acquire versus develop internally

Why organisations work with Brian Cox His work on the ATLAS experiment at CERN places him inside the research that underlies quantum computing, particle detection, and the most advanced engineering challenges of our time – not adjacent to it. The Quantum Universe, Why Does E=mc2?, and Universal have collectively sold over a million copies: evidence that he can make abstract, rigorous science genuinely comprehensible to non-specialist audiences at scale. His Horizons tour set two Guinness World Records for science communication, reaching over 400,000 people across three continents – a proof of audience engagement no management consultant or futurist can match. As UN Champion for Space (appointed October 2025), he connects scientific frontier thinking directly to global governance, sustainability, and long-term civilisational risk – giving boards a frame that goes well beyond conventional technology briefings. He has presented at the World Economic Forum in Davos and in China, and headlined Infosecurity Europe 2025, demonstrating that his material holds up to scrutiny from the most demanding professional audiences. Biography highlights Professor of Particle Physics, School of Physics and Astronomy, University of Manchester; Royal Society Professor for Public Engagement in Science Member, ATLAS collaboration, CERN Large Hadron Collider; formerly co-spokesperson, FP420 R&D project at CERN (2004–2009) Fellow of the Royal Society (FRS); CBE for services to the promotion of science Royal Society Michael Faraday Prize (2012); Institute of Physics Kelvin Medal and Prize (2010); Royal Television Society Best Presenter (2011) Author of six popular science books with collective sales exceeding one million copies, including The Quantum Universe and Why Does E=mc2? Guinness World Records holder for live science touring; Horizons: A 21st Century Space Odyssey reached over 400,000 people across three continents Appointed UN Champion for Space by UNOOSA, October 2025 Presenter of multiple Peabody and BAFTA-recognised BBC series including Wonders of the Solar System, Wonders of the Universe, and The Planets Biography Brian Cox holds a chair in particle physics at the University of Manchester and works on the ATLAS experiment at CERN – the collaboration responsible for some of the most significant experimental results in the history of physics. That grounding in active research is what separates him from science communicators who translate the work of others. He is doing the work himself. His books – Why Does E=mc2?, The Quantum Universe, Universal: A Guide to the Cosmos – have collectively sold over a million copies. Each one takes a genuine problem in physics, works through it without condescension, and arrives at implications that reward careful attention. The Royal Society awarded him the Michael Faraday Prize for exactly this quality: rigorous science made genuinely accessible. Live, Cox operates at a scale no other scientist in the world matches. His Horizons tour set two Guinness World Records, reaching over 400,000 people across the UK, North America, Australia, and Europe. These are not public lectures; they are full arena productions using state-of-the-art visual technology, exploring quantum theory, black holes, the origin of life, and the nature of time. In October 2025, the United Nations Office for Outer Space Affairs designated him UN Champion for Space – recognising his ability to connect frontier physics to the practical challenges of global governance and sustainability. For boards and senior leadership teams, Cox offers something specific: a working physicist’s account of where the science actually is, what it makes possible, and what it rules out. At the World Economic Forum, at Infosecurity Europe, at TED – the audiences are demanding, and the material holds. The value is not inspiration in the abstract; it is the kind of rigorous, first-principles framing that improves the quality of strategic decisions. Key speaking topics Particle physics and the Large Hadron Collider Quantum mechanics and its practical implications Space technology and global infrastructure The origin and structure of the universe Scientific reasoning and evidence-based decision-making The future of space exploration and governance Science communication and public understanding of technology Ideal for Boards and C-suite teams seeking first-principles scientific context for technology strategy CTOs, CIOs, and transformation leads navigating quantum computing and advanced physics-derived technologies Global leadership summits and flagship corporate conferences requiring authoritative, high-profile keynote presence Organisations in aerospace, defence, energy, financial services, or cybersecurity where physical science is directly relevant to competitive strategy Audience outcomes A clearer mental model of what quantum mechanics, particle physics, and space science actually mean for the technologies being built now Confidence in reasoning about scientific uncertainty and frontier research – rather than deferring entirely to technical specialists A broader frame for long-term strategic thinking, grounded in the timescales and constraints of physical reality rather than market cycles Greater appreciation of evidence-based reasoning as a decision-making discipline, not just a scientific one Understanding of how space-based infrastructure and emerging physics-derived technologies intersect with sustainability, governance, and geopolitical risk

Why organisations work with Carme Artigas Access to the EU AI Act from the inside: as the Council Presidency’s chief negotiator when the Act was concluded in December 2023, she knows which provisions were contested, how they were resolved, and where enforcement questions remain open – clarity that no commentator or academic can replicate. A UN-level governance map built from the source: as Co-Chair of the UN High-Level Advisory Body on AI, she coordinated 39 experts across 33 countries to produce Governing AI for Humanity – the blueprint for global AI oversight that national strategies and multilateral institutions are now implementing. She co-chaired the body alongside Google Senior Vice President James Manyika. A regulatory perspective grounded in commercial reality: she co-founded Synergic Partners and built it to 150 data scientists before Telefónica acquired it in 2015. Her understanding of AI governance is not abstract – it is shaped by how data and AI deployments actually function inside commercial organisations. The only person to have designed a national AI governance system from the ground up: as Spain’s inaugural Secretary of State for Digitalisation and AI, she built the National AI Strategy, data economy strategy, digital rights charter, and the first AI supervision agency on the European continent – giving her unusually concrete insight into what governance implementation demands of organisations. An active research presence at the frontier: as a Senior Fellow at Harvard Kennedy School’s Belfer Center, she continues to work on current AI governance and technology policy questions alongside leading security and policy scholars – not recounting past decisions. Biography highlights Spain’s first Secretary of State for Digitalisation and Artificial Intelligence (2020–2023); simultaneously president of the National Cybersecurity Institute and the Spanish Agency for the Supervision of AI Chief Council negotiator for the EU AI Act, concluded under Spain’s Presidency of the Council of the European Union in December 2023 – the world’s first comprehensive legal framework for artificial intelligence Co-Chair, UN Secretary-General’s High-Level Advisory Body on Artificial Intelligence (2023–2024); co-produced Governing AI for Humanity with James Manyika (Google Senior Vice President) and 37 other experts from 33 countries Senior Fellow, Belfer Center for Science and International Affairs, Harvard Kennedy School; first Spanish woman to hold the position Co-founder and CEO, Synergic Partners – built to 150 data scientists, acquired by Telefónica in 2015; previously CEO of Ericsson Innova (Ericsson Group’s European venture capital fund) Women in Tech Global Awards 2025, Lifetime Achievement; Stanford University Ambassador for Women in Data Science; member of the European Council on Foreign Relations (ECFR) Biography The EU AI Act is the world’s first comprehensive legal framework for artificial intelligence. Its provisions determine which AI applications organisations can legally deploy, which require conformity assessments, and which are prohibited. Most executives know the regulation exists. Few understand its architecture. Carme Artigas did not comment on these negotiations – she led them. As Spain’s first Secretary of State for Digitalisation and AI, she was the Council Presidency’s chief negotiator when the EU AI Act was concluded in December 2023. She had already built the foundations from scratch: Spain’s National AI Strategy, digital rights charter, data economy strategy, and the first AI supervision agency on the European continent. In parallel, she co-chaired the United Nations High-Level Advisory Body on AI – a 39-member group spanning 33 countries, convened by Secretary-General Guterres in October 2023. The body’s final report, Governing AI for Humanity, published in September 2024, proposed the first architecture for inclusive global AI oversight. She co-chaired it alongside Google Senior Vice President James Manyika. Before government, she co-founded Synergic Partners – a big data consultancy she built to 150 data scientists before Telefónica acquired it in 2015, remaining as CEO through full integration into the Group. As a Senior Fellow at Harvard Kennedy School’s Belfer Center since 2023, she continues to engage with governance questions at the intersection of technology, security, and public policy. Key speaking topics EU AI Act implementation and strategic compliance Global AI governance frameworks AI governance and responsible AI deployment Data strategy and big data Digital transformation and national digital policy International technology cooperation and geopolitics of AI Women in technology and digital leadership Ideal for Boards and C-suites with active AI strategies navigating EU AI Act obligations and global regulatory exposure Chief Legal, Risk, and Compliance Officers mapping their organisation’s AI regulatory position Chief Digital and Technology Officers operating in or supplying to European markets Government and public sector leaders developing or stress-testing national AI governance frameworks Audience outcomes A clear understanding of what the EU AI Act actually requires – which AI applications are prohibited, which are designated high-risk, and what conformity assessment obligations apply Insight into how the global governance architecture is developing at UN level and how it intersects with European regulation A framework for elevating AI governance from a compliance function to a board-level strategic priority Understanding of where the regulatory fault lines remain open and where future enforcement is likely to concentrate Practical language and reference points to brief boards, regulators, and partners on AI governance obligations

Why organisations work with Caroline Criado-Perez She built the public evidence base on the gender data gap. Invisible Women sits on the desks of regulators, engineers, and policy teams in more than thirty languages and is the default reference when the question is raised. She has won both the Royal Society Science Book Prize and the FT and McKinsey Business Book of the Year for the same work, a combination almost no other author can claim, and one that signals her rigour to both technical and commercial audiences. She translates the gender data problem into concrete operating examples: car crash test dummies, medical dosing, voice recognition, AI training data, urban infrastructure, workplace tools. Audiences leave with examples they recognise from their own organisation. She has actually changed policy. The Jane Austen banknote and the Millicent Fawcett statue are her campaigns; the credibility she brings to a corporate room is built on shifting state institutions, not commentary. Biography highlights Author, Invisible Women: Exposing Data Bias in a World Designed for Men, winner of the 2019 Royal Society Science Book Prize and the 2019 FT and McKinsey Business Book of the Year. OBE for services to equality and diversity, 2015. Author, Do It Like a Woman, profiling pioneering women globally. Founder of the campaigns that put Jane Austen on the Bank of England £10 note and Millicent Fawcett’s statue in Parliament Square. Liberty Human Rights Campaigner of the Year, 2013; Finland’s HÄN Honour, 2020; winner of the inaugural Unwin Award, 2025. Honorary doctorates from the University of Lincoln, the University of Westminster, and The Open University. Host of the Visible Women podcast with Tortoise Media; writes the Invisible Women Substack newsletter. Biography The crash test dummy used to certify most cars on the road is modelled on the body of an average male. Medical drug trials, voice recognition systems, office temperatures, and stab vests share a similar history. Invisible Women assembled this evidence into a single argument and made it impossible to ignore. Caroline Criado-Perez wrote the book that did this. It won the Royal Society Science Book Prize and the FT and McKinsey Business Book of the Year in the same year, a dual recognition that signals scientific rigour and commercial relevance at once. It has been translated into more than thirty languages and is used by policymakers, engineers, and product teams looking for a defensible account of where their data is incomplete. Her credibility with corporate audiences comes from changing institutions, not commenting on them. She ran the campaign that placed Jane Austen on the Bank of England £10 note. She campaigned for the Millicent Fawcett statue in Parliament Square, the first statue of a woman to stand there. An OBE, a Liberty Human Rights Campaigner of the Year award, and the inaugural Unwin Award are the public record of work that altered what the state chose to put in front of its citizens. Her current focus is on the operating consequences of the data gap for businesses making decisions about AI, product design, workforce policy, and customer experience. Through her Invisible Women Substack and Visible Women podcast with Tortoise Media, she continues to surface the specific cases where missing data on women becomes a material business risk. Key speaking topics The gender data gap Bias in AI training data and algorithmic systems Inclusive product and service design Workforce data and policy design Gender bias in medical and safety research Campaigning, influence, and institutional change Ideal for CHROs, chief diversity officers, and people analytics leaders auditing workforce data Heads of product, design, and data science teams in consumer-facing or safety-critical industries AI and machine learning leaders responsible for model bias and training data quality Boards and ESG committees reviewing how the organisation evidences its claims about inclusion Audience outcomes A working vocabulary for naming where the gender data gap shows up in their own products, policies, and decisions A clear view of the commercial and safety risks created by data that under-represents half the customer or workforce base Specific examples from medicine, automotive, technology, and infrastructure that translate the problem into terms their teams will recognise An understanding of how AI inherits and amplifies existing data bias, and what that means for governance A grounded sense of how institutional change actually happens, drawn from campaigns that succeeded