Data Analytics

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

Meet Aric Dromi Aric Dromi is a highly respected keynote speaker, futurologist, geopolitical, environmental & social Strategist. Aric spent years helping executives and decision makers to refine their offer and understand the potential impacts that lie along the road ahead. Aric’s strengths lie in his ability to identify patterns and challenge them, along with his ability to use this skill to define new directions and experiments that provide a pathway forward. With a long career in choice architecture and systems design, innovation and futurology, Aric believes that our world is on the cusp of seismic changes that society, business and policymakers are not prepared for. He believes strongly in humanity’s ability to adapt and overcome, and thinks that technology has come to define, rather than serve us. He wants to change this equation, by working towards a more resilient societal model that enables a free market and a future for our children. Aric does this by providing strategic advice to organisations and executives, policymakers, cities and governments. His focus areas include: Automation and fast tracking, Privacy, integrity, surveillance and legislation, Social trends and economic models, Transformation, smarter innovation and monetization structures, Mobility, logistics, energy, communication and smarted data, The reciprocal relationships between policy, society and technology, The future of cities and urban structures, The next frontier of Intelligence amplification in the era of VR, AR and AI. Aric is the Founder and CEO of TEMPUS.MOUU GROUP breakthrough Advisory board as a Service platform.

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

Meet Mark van Rijmenam Dr Mark van Rijmenam, CSP, renowned as The Digital Speaker, is a trailblazing strategic futurist and highly sought-after international keynote speaker. His unique ability to simplify intricate concepts and captivate audiences has inspired and enlightened over 100,000 managers, directors, and C-level executives across more than 25 countries on all continents. In 2023, he was awarded the Certified Speaking Professional and Global Speaking Fellow accreditations. Expert Advisor on AI, Blockchain, and the Metaverse With a deep understanding of (generative) AI, blockchain, the metaverse, and other emerging technologies, Dr Van Rijmenam is the trusted advisor to leading companies and governments seeking to innovate and thrive in the digital age. Salesforce named him one of the must-know AI influencers—one of just 16 (human) voices shaping the future of AI. Academic and Professional Background Dr Van Rijmenam holds a Bachelor’s degree in Hospitality Management, a Master of Science in Marketing Management, and a PhD in Management from the University of Technology Sydney. His research focuses on how organisations should navigate big data analytics, blockchain, and AI. He is a respected voice in the technology community and a member of the Professional Speaker Australia association and the Global Speakers Federation. Dynamic Presentations and Corporate Education As a distinguished 5-time author and corporate educator, Dr Van Rijmenam is celebrated for his candid, independent, and balanced insights. His engaging and thought-provoking presentations, webinars, workshops, and podcasts empower audiences to embrace the future and stay ahead of the curve in today’s rapidly changing digital world. Electrifying Keynote Speeches on the Future of Work In his keynote speeches, Dr Van Rijmenam explores the future of work, the role of the metaverse, generative AI, such as ChatGPT, and the importance of data-driven customer-centricity. His engaging and thought-provoking presentations, webinars, workshops, and podcasts empower audiences to embrace the future and stay ahead of the curve in today’s rapidly changing digital world. He emphasises the need for the ethical and responsible development, deployment, and use of digital technologies to ensure a thriving digital future.

About Sabrina Faramarzi Sabrina Faramarzi is an international journalist, trend analyst and data storyteller. Her work explores patterns across sociocultural phenomena through a future-focused lens, with an interest in business, society and internet culture. Sabrina’s approach is informal but informative, and her humorous and witty style helps easily guide audiences through complex topics to find the devil in the details. She often leaves her audiences with new ways of thinking about things they already thought they knew all about. As a journalist, she has worked and written for publications such as The New York Times, The Guardian, Vogue Business, Wired and VICE, to name a few. In addition, she has helped brands such as Google, Meta, Airbnb, Lush, Tempur, Regus and GSK to create content for their audiences. As a trend analyst, she has worked with clients across design, travel, hospitality, non-profit, fashion, beauty and food, undertaking quantitative and qualitative research as well as regularly writing trend reports for future forecasting and insights agencies The Future Laboratory, Stylus and Canvas8. She is currently the Managing Director of Are We Europe, a non-profit media collective dedicated to innovation and diversity in the European media landscape, supporting emerging creative talent in Europe and promoting the creation of pan-European media initiatives. Additionally, she is the founder of Dust in Translation, a boutique creative data storytelling agency helping organisations to help them push forward their mission through innovative, data-driven content and communications; and one of the co-founders of the activist group Feminist Internet, a non-profit organisation advancing internet equality for womxn and other marginalised groups through critical, creative practice. She holds a First Class Bachelor Honours degree in Trend Prediction & Forecasting from the University of East London and a Master of Arts with Distinction in Journalism from the University of the Arts London. She lives between Berlin and London, exploring how media can stay relevant in more fragmented, digital global futures.

Why organisations work with Robert Smith He is a working AI researcher with more than 100 peer-reviewed papers, not a consultant translating other people’s science. When a board asks how a model actually behaves, he can answer at the level of the maths. His book Rage Inside the Machine sets out a specific thesis on why algorithmic bias is structural rather than incidental. It gives leadership teams a shared vocabulary for the risk before they have to defend a hiring, credit, or pricing decision. He has built and deployed AI inside organisations where failure is expensive: NASA, Boeing, Airbus, the Bank of England, the UK Competition and Markets Authority. The reference points are operational, not theoretical. He led AI and data science at Digital Catapult, the UK government’s deep tech innovation centre. He has seen what separates the firms that move beyond pilots from the ones that stall. As a Founding Trustee of We and AI and a Senior Fellow at UCL, his independence on responsible AI is institutional, not positional. That matters when the audience needs a voice that does not sell the technology. Biography highlights Author, Rage Inside the Machine: The Prejudice of Algorithms and How to Stop the Internet Making Bigots of Us All (Bloomsbury Business). Shortlisted, UK Business Book Awards, Specialist category. Former Director of AI and Data Science, Digital Catapult. Senior Honorary Fellow, Computer Science Faculty, University College London. Co-founder, UCL Centre for Decision-Making Uncertainty. Founding Trustee, We and AI. Author of over 100 peer-reviewed papers in artificial intelligence, with a focus on evolutionary computation, knowledge representation, and machine learning. Applied AI work for NASA, Boeing, Airbus, BT, the European Union, the Bank of England, the UK Competition and Markets Authority, and US national laboratories. Biography The history of artificial intelligence is older than most boardrooms assume, and so are the design choices that made today’s models prone to bias. That is the argument running through Robert Smith’s work as a complexity scientist, and it is the reason serious organisations book him when they need an AI conversation that holds up under scrutiny. Smith spent more than three decades inside applied AI before the current wave of public attention. He built systems for NASA, Boeing, Airbus, BT, the Bank of England, the UK Competition and Markets Authority, the European Union, and US national laboratories at Los Alamos and Oak Ridge. He went on to lead AI and data science at Digital Catapult, the UK’s deep tech innovation centre, where the question shifted from research to deployment at scale. His book Rage Inside the Machine, published by Bloomsbury Business and shortlisted for the UK Business Book Awards, traces algorithmic bias back through the intellectual history of computing. The case is technical, not rhetorical: apparently neutral data and models can encode prior injustice across hiring, credit, insurance, policing, and content moderation. He gives leadership audiences a way to interrogate their own systems without needing to read the code. Smith holds a PhD, is a Fellow of the Royal Society of Arts, a Senior Honorary Fellow at UCL Computer Science where he co-founded the Centre for Decision-Making Uncertainty, and a Founding Trustee of We and AI. He has more than 100 peer-reviewed papers to his name and has presented at Google, the UK Financial Conduct Authority, and corporate, academic, and policy venues internationally. Key speaking topics Artificial intelligence and generative AI AI ethics and responsible technology Algorithmic bias and governance Digital transformation Data analytics Future of technology Risk management Ideal for Boards and executive committees signing off on enterprise AI strategy CTOs, CIOs, Chief Data Officers, and heads of AI looking for a credible external voice on governance and bias Risk, compliance, and regulatory leaders in financial services, insurance, healthcare, and public sector Senior HR and people leaders deploying AI in hiring, performance, or workforce decisions Audience outcomes A clearer view of where bias actually originates inside their AI systems, with examples drawn from peer-reviewed research and operational deployments. A working language for board-level conversations about AI risk, beyond the vendor pitch and the headline. Specific questions executives can put to their data science teams and external suppliers to test whether claims about model behaviour are defensible. A grounded sense of where AI is genuinely creating value in regulated environments, and where it is creating exposure. A perspective on responsible AI that comes from a working scientist and trustee of an independent charity, not from a platform vendor.

Why organisations work with Tim Ringo A practitioner thesis on productivity, not a survey of the field. Solving the Productivity Puzzle won the HR & Management category at the Business Book Awards because it sets out a specific operating model for connecting engagement, performance and learning, rather than describing the problem. Three decades inside the firms that built the modern HR function: Accenture, IBM and SAP SuccessFactors, including global leadership of IBM’s 1,500-strong Human Capital Management consulting practice and EMEA leadership at SAP SuccessFactors. A rare combination of HR strategy and workforce analytics credentials, evidenced by Calculating Success, his Harvard Business Review Press book on workforce analytics co-authored with Carl Hoffmann and Eric Lesser. Recognised peer authority: named to HR Magazine’s Most Influential HR Thinkers list in 2022, alongside the people the audience is reading. A working point of view on AI in the workplace from someone who has run global HR technology programmes, not a commentator new to the topic. Biography highlights Named to HR Magazine’s HR Most Influential Thinkers, 2022. Author, Solving the Productivity Puzzle (Kogan Page); Category Winner, HR & Management, Business Book Awards. Co-author, Calculating Success (Harvard Business Review Press), on workforce analytics. Former Vice President and Global Leader, IBM Human Capital Management consulting practice. Former Vice President for EMEA, SAP SuccessFactors. Chartered Fellow of the CIPD; BSc, Fisher College of Business, The Ohio State University. Biography Most large organisations now spend more on HR technology, engagement programmes and learning platforms than at any point in their history. Productivity has not followed. Tim Ringo’s work begins where that gap sits, and treats it as a design problem inside the people function rather than a cultural mood. His 2020 book Solving the Productivity Puzzle, published by Kogan Page, won the HR & Management category at the Business Book Awards. The argument is operational: engagement, performance management and learning have to be wired together, and supported by analytics, before any productivity number moves. His earlier book with Carl Hoffmann and Eric Lesser, Calculating Success, was published by Harvard Business Review Press and helped to define what serious workforce analytics looks like inside an enterprise. The credibility behind the work is built over three decades. Ringo led IBM’s global Human Capital Management consulting practice, with more than 1,500 consultants worldwide, ran SAP SuccessFactors HR advisory across Europe, the Middle East and Africa, and spent sixteen years as an executive partner in Accenture’s Human Performance service line. He is a Chartered Fellow of the CIPD and was named to HR Magazine’s Most Influential HR Thinkers list in 2022. For senior HR audiences, that mix is unusual. Ringo can move from a board conversation about AI in the workforce to a working session on engagement metrics or HR technology investment, and bring the same operating language to both. His view on generative AI at work is a practitioner’s view, formed inside the systems that the rest of the function relies on. Key speaking topics Workforce productivity and engagement Digital HR transformation Workforce analytics Generative AI in the workplace Employee experience and retention Workforce wellbeing strategy HR technology investment Ideal for CHROs, CPOs and HR directors leading productivity, engagement or HR technology agendas Executive teams reviewing return on HR technology and workforce analytics investment HR leadership conferences, CHRO summits and people analytics events Boards considering the workforce implications of generative AI Audience outcomes A clearer view of where productivity is actually lost inside the organisation, and which HR levers move it. A working model for connecting engagement, performance and learning to business outcomes. A practical sense of what good workforce analytics looks like, and what most organisations are still missing. An informed perspective on how to introduce generative AI to the workforce without losing trust or governance.

Carl Miller: Decoding the Hidden Powers of the Digital Age Carl Miller is an acclaimed investigative journalist, author, and global keynote speaker who explores the profound intersection of digital innovation and societal change. He has written extensively on how technology is reshaping power, politics, and culture, and is widely recognized for his ability to uncover and explain the hidden dynamics of the digital world to global audiences. For over a decade, Carl has delivered immersive talks and led pioneering research on how digital technology is transforming power, business, and everyday life. His insights have reached audiences across Europe, North America, and Asia, including government bodies, global institutions, and leading universities. He is a sought-after speaker for technology, business, and policy events, recognized for his compelling blend of investigative rigor, real-world storytelling, and strategic vision. Carl’s debut book, The Death of the Gods: The New Global Power Grab, won the 2019 Transmission Prize for its exploration of the hidden forces driving change in the digital age. The book traces his investigations across political tech communities, information warfare operations, and encounters with hackers, misinformation merchants, cyber-crime units, and digital leaders worldwide. His work reveals how emerging digital powers are transforming corporations, journalism, politics, and the global balance of influence. Carl has led dozens of pioneering digital research projects, ranging from early warnings about online conspiracy theories and the challenges of digital literacy, to insights into cryptocurrencies, policing transformations, and the advent of SOCMINT—social media intelligence. His investigations have mapped the rise of digital politics, tracked online abuse against minority groups, and most recently, explored the roots and impacts of disinformation, information warfare, and hidden digital influence. He is recognized for combining immersive first-person storytelling with rigorous evidence. His stage presentations draw on encounters with police cyber-crime teams, hackers, information warfare specialists, fake news operators, policymakers, and digital leaders. He helps audiences navigate vital questions about who controls AI, how crime is evolving, the mechanics of disinformation, threats to democracy, the upheaval in journalism, and the precarious future of digital business. Carl’s expertise, global perspective, and compelling stories equip leaders, businesses, and policymakers to grasp the hidden forces reshaping society—and to prepare for what comes next.

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

Why organisations work with Sandra Wachter Her Counterfactual Explanations framework – co-developed at Oxford and adopted in production by Google, IBM, Microsoft, Accenture, and Vodafone – gives organisations a legally defensible method for explaining algorithmic decisions to the individuals they affect, not just to internal audit teams. Her Conditional Demographic Disparity (CDD) bias test demonstrated that 13 of 20 widely used bias detection tools fail EU non-discrimination standards. Amazon and IBM implemented CDD in their cloud services; it was deployed in 2024 to expose systemic bias in the Dutch national education system, resulting in a ministerial apology and formal reform. She works at the precise intersection of legal standards and technical metrics – meaning she can tell risk and compliance teams not only what accountability requires but how to measure whether systems actually deliver it. As a member of the European Parliament Working Group on AI Liability and the World Bank Task Force on Access to Justice and Technology, she tracks how regulatory frameworks are being written in real time, giving organisations visibility into requirements before they become mandatory. Her research has shifted institutional practice at the NHS and MHRA, which are revising medical device licensing standards using her findings on the unintended consequences of common group fairness measures – a concrete precedent for how her work moves from publication to policy. Biography highlights Professor of Technology and Regulation, Oxford Internet Institute, University of Oxford; Humboldt Professor of Technology and Regulation, Hasso Plattner Institute Leads the Governance of Emerging Technologies (GET) Research Programme at Oxford Co-developer of Counterfactual Explanations (now deployed by Google, IBM, Microsoft, Accenture, and Vodafone) and the Conditional Demographic Disparity (CDD) bias test (implemented by Amazon and IBM; applied in the Netherlands education reform, 2024) Published in Science Robotics, Nature Electronics, and Nature Reviews Physics; cited over 20,000 times (Google Scholar) Alexander von Humboldt Foundation Research Award (2025, €3.5M); O2RB Excellence in Impact Award (2018, 2021); Computer Weekly Women in UK Tech Award (2021); Privacy Law Scholar Award (2019); CognitionX AI Ethics Award (2017, 2023) Policy roles: European Parliament Working Group on AI Liability; World Bank Task Force on Access to Justice and Technology; WEF Global Futures Council on Values, Ethics and Innovation; UNESCO; UK Police Ethics Guidance Group Previously Visiting Professor, Harvard Law School; Research Fellow, The Alan Turing Institute Media profiles in the Financial Times, Wired, New York Times, BBC,Guardian, Harvard Business Review, Reuters, Time Magazine, and MIT Technology Review Biography Sandra Wachter is Professor of Technology and Regulation at the University of Oxford’s Oxford Internet Institute and Humboldt Professor at the Hasso Plattner Institute. She leads Oxford’s Governance of Emerging Technologies Research Programme – work that sits not in the space of ethical aspiration but in the harder territory of legal standards and technical verification. The tools her research has produced are in use at scale. The Counterfactual Explanations framework she co-developed is deployed in production by Google, IBM, Microsoft, Accenture, and Vodafone. Her Conditional Demographic Disparity (CDD) bias test – built after demonstrating that 13 of 20 commonly used bias tools fail EU non-discrimination law – was adopted by Amazon and IBM in their cloud services. In 2024, CDD was used to expose systemic bias in the Dutch national education system; the Dutch Minister of Education apologised and initiated formal reform. The NHS and MHRA have revised their medical device licensing practices using her findings on the consequences of widely applied group fairness measures. Her publications appear in Science Robotics, Nature Electronics, and Nature Reviews Physics, and she has been cited over 20,000 times. Awards include the Alexander von Humboldt Foundation Research Award (2025, €3.5M), the O2RB Excellence in Impact Award (2018, 2021), the Privacy Law Scholar Award (2019), and the CognitionX AI Ethics Award (2017, 2023). She sits on the European Parliament Working Group on AI Liability, the World Bank Task Force on Access to Justice and Technology, the WEF Global Futures Council on Values, Ethics and Innovation, and the UK Police Ethics Guidance Group, and was previously Visiting Professor at Harvard Law School. For boards and risk leaders, her most immediate value is diagnostic: the gap between what organisations say their AI governance achieves and what the regulatory and technical evidence supports is larger than most assume. She has spent a decade building the instruments to measure that gap precisely. Key speaking topics AI governance and regulation Algorithmic accountability and explainability Algorithmic bias and non-discrimination law Generative AI and legal liability The EU AI Act and regulatory compliance Profiling, inferential analytics, and data protection Platform regulation and internet governance Ideal for Boards and C-suite teams making AI adoption and governance commitments Chief Data Officers and technology leadership teams designing accountability frameworks Legal, compliance, and risk leaders responsible for AI deployment decisions Public sector and regulatory audiences shaping AI policy and standards Audience outcomes A clear-eyed assessment of where current AI governance practices fall short of EU and UK legal standards – and why common assumptions about bias testing are insufficient Practical grounding in legally defensible tools for explainability and bias measurement, including frameworks already adopted by major technology companies Informed foresight into how the EU AI Act and emerging AI liability frameworks will affect deployment requirements Understanding of how generative AI creates specific new liabilities around hallucination, misinformation, and the emerging legal question of AI truthfulness The ability to distinguish between stated accountability commitments and governance that can withstand external scrutiny