Dataanalyse

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

Why organisations work with Christian Howes He reads social and behavioural data the way a broadcaster reads a room, which means boards and marketing teams leave with a view of their customers that feels observed rather than modelled. He has been trusted on live television, from Big Brother’s Bit on the Side with Emma Willis to BT Sport and Channel 4’s alternative election night, to make data intelligible to audiences who are not data people. His corporate work spans PlayStation, Diageo, HSBC, Lloyds, ASOS and Barclays, so he arrives already fluent in the commercial contexts most clients are operating in. He doubles as a host, MC and panel moderator, which makes him a practical choice for events that want one credible voice across keynote, stage linking and awards. Biography highlights Regular social-data contributor on Big Brother’s Bit on the Side (Channel 5), 2011-2012, alongside Emma Willis. Television appearances on BT Sport (The Clare Balding Show, BT Sport Panel, BT Sport Live), ITV’s This Morning, BBC1 National Lottery, Good Morning Britain, and Channel 4’s alternative election night coverage. Co-founder of Mr Bridger, a content business developing formats for production companies and broadcasters. Corporate and keynote work with Sony PlayStation, Diageo, HSBC, RBS, Lloyds Banking Group, Barclays, ASOS, UMG, Channel 4, GoCompare, Skoda, Microsoft, Teradata and Cornerstone. Works as keynote speaker, conference host, awards presenter and panel moderator across UK and international business audiences. Biography Social data arrived in most boardrooms as a dashboard before it arrived as a story. Christian Howes built a career out of closing that gap. His route in was unusual: he started by modelling Twitter traffic around the Big Brother house to predict weekly evictions, which led to a weekly sofa spot on Big Brother’s Bit on the Side with Emma Willis, translating audience sentiment back to a live TV audience. That pattern, turning raw social signal into something a non-specialist can act on, became the core of his commercial work. He has gone on to appear as a data and digital contributor across BT Sport, ITV’s This Morning, BBC1’s National Lottery show, Good Morning Britain, and Channel 4’s alternative election night coverage. The broadcast craft is not decoration; it is the reason his corporate sessions land with marketing, CX and customer-service teams who have sat through too many unreadable analytics decks. His corporate roster reflects where social and behavioural data actually matters in large consumer businesses. He has worked with Sony PlayStation, Diageo, HSBC, RBS, Lloyds, Barclays, ASOS, UMG, Skoda, GoCompare, Microsoft and Teradata on what audiences are doing, what they are signalling, and how customer-service and merchandising operations should respond. In 2015 he co-founded Mr Bridger, a content business developing formats for production companies, which keeps his feet in the studio as well as the boardroom. The second half of his offer, and often the reason he is booked, is hosting. He anchors conferences, moderates panels and presents awards, and clients buy the combination: one voice that can deliver a substantive keynote on digital and data, then carry the rest of the room for the day. Key speaking topics Social media analytics and audience sentiment Big data and consumer behaviour Digital marketing and branding Customer experience and customer service transformation Conference hosting, awards presenting and panel moderation Media, broadcast and the attention economy Ideal for CMOs, brand and marketing directors in consumer-facing businesses Customer experience, customer service and digital transformation leads Conference and awards organisers needing one host across keynote and stage Retail, financial services and entertainment audiences working with large consumer datasets Audience outcomes A clearer read on what their customers are signalling on social and digital channels, with examples they recognise from their own category. A practical sense of where social and behavioural data should connect to operational decisions in marketing, CX and service. Concrete case references from consumer brands, financial services and broadcast, rather than generic digital theory. For hosted events, a single credible voice across keynote, interview and awards that keeps the room with you.

Why organisations work with Trabucchi and Buganza The Platform Thinking Matrix gives strategy and transformation teams a structured instrument for identifying precisely where platform mechanisms can be applied to existing business models, built from a decade of research on established companies, not borrowed from startup literature. The Digital Phoenix Effect draws on analysis of 140 platform initiatives across S&P 500 companies, with detailed cases from Siemens, AXA, Eni, and Domino’s – the organisations their research is built around look like most audiences, not like Silicon Valley startups. With 100+ peer-reviewed publications in journals including the Journal of Product Innovation Management and Technovation, their frameworks can be tested against sustained evidence – not just a practitioner’s conviction codified into a model. As Scientific Directors of the Platform Thinking HUB within Politecnico’s Digital Innovation Observatories, they give organisations access to live, connected research, not a fixed set of frameworks. Shortlisted for the Thinkers50 Distinguished Achievement Award in Digital Thinking: the body that the Financial Times has described as producing the Oscars of management thinking. Biography highlights Associate Professor of Platform Thinking (Trabucchi) and Full Professor of Leadership & Innovation (Buganza), School of Management, Politecnico di Milano Co-founders and Scientific Directors of the Platform Thinking HUB within Politecnico’s Digital Innovation Observatories, and of LEADIN’Lab; Buganza chairs the EIASM International Product Development Management Conference Thinkers50 Radar Class of 2024; shortlisted for the Thinkers50 Distinguished Achievement Award, Digital Thinking category Co-authors of Platform Thinking: Read the Past. Write the Future (Business Expert Press, 2023) – shortlisted for the Business Book Awards 2024 and translated into Italian and Chinese – and The Digital Phoenix Effect (Platform Thinking Publishing, 2025) 100+ peer-reviewed articles in journals including the Journal of Product Innovation Management, Technovation, and Information Systems Journal Co-founders of Symplatform (2018), the annual international conference on digital platforms connecting researchers and practitioners Biography Most digital transformation advice is written for companies that do not yet exist. Trabucchi and Buganza study the ones that do: established firms with legacy assets, existing customer relationships, and infrastructure they cannot simply abandon. Over more than a decade at Politecnico di Milano’s School of Management, they developed Platform Thinking as a named strategic framework. It is not a description of what Uber or Airbnb do. It is a method for how any established organisation can activate its existing assets to generate the multi-sided value that platform businesses create. The Platform Thinking Matrix formalises this as a practical instrument for strategy and transformation teams. Their 2025 book, The Digital Phoenix Effect, draws on 140 platform initiatives analysed across S&P 500 companies, with cases from Siemens, AXA, Eni, and Domino’s. The argument that incumbent firms cannot compete in the platform economy on their own terms is a common one. Trabucchi and Buganza make the opposite case, and back it with sustained empirical research. Both were included in the Thinkers50 Radar Class of 2024 and shortlisted for the Thinkers50 Distinguished Achievement Award in Digital Thinking. As co-founders of Symplatform and Scientific Directors of the Platform Thinking HUB, they connect rigorous academic research to active practitioner communities. Their frameworks emerge from sustained, peer-reviewed inquiry – over 100 published articles across journals including the Journal of Product Innovation Management and Technovation – not from advisory work alone. Key speaking topics Platform thinking and business model transformation Legacy organisations in the platform economy The Platform Thinking Matrix Data as a platform asset GenAI and internal platform development Platform leadership and innovation management Multi-sided platforms and ecosystem strategy Ideal for Chief Strategy Officers and Chief Digital Officers leading platform transformation in established businesses CEOs and boards of legacy organisations facing disruption from platform competitors Innovation and transformation leads in non-digital-native companies Executive MBA and corporate learning audiences focused on digital business model innovation Audience outcomes A working definition of Platform Thinking and how it differs from conventional digital transformation advice The Platform Thinking Matrix as a practical framework for identifying where platform mechanisms apply to existing business models Real cases from established firms – Siemens, AXA, Eni, Domino’s – showing how legacy assets become platform advantages Clarity on the specific leadership conditions that enable platform-based change within established organisations A starting point for assessing their organisation’s platform potential against a research-backed framework

Why organisations work with David McCandless He built the language of modern editorial data visualisation through Information is Beautiful, the blog and three books that defined the form for a generation of journalists and designers. He co-founded the Information is Beautiful Awards in 2012 with Kantar’s Aziz Cami, the global benchmark prize for data visualisation, giving him a panoramic view of what works across thousands of submissions. His work has been published by The Guardian, Wired, and Die Zeit and exhibited at MoMA, Tate Britain, and the Wellcome Trust gallery, evidence that the craft holds up to both editorial and curatorial scrutiny. His TEDGlobal 2010 talk, “The beauty of data visualization”, remains one of the most-watched introductions to the field and shapes how senior audiences think about visual storytelling. Biography highlights Author of Information is Beautiful (2009), Knowledge is Beautiful (2014), and Beautiful News (2023), published by HarperCollins. Founder of the Information is Beautiful blog and co-founder of the Kantar Information is Beautiful Awards (2012). TEDGlobal 2010 speaker: “The beauty of data visualization”. Information design featured in The Guardian, Wired, and Die Zeit. Work exhibited at the Museum of Modern Art (New York), Tate Britain, and the Wellcome Trust gallery (London). Began his career as a journalist writing for The Guardian and Wired before building Information is Beautiful into a publishing platform. Biography The hardest problem in modern communication is not gathering data. It is making the data mean something to a reader who has eight seconds and a phone. That is the territory David McCandless has worked for nearly two decades, first as a journalist at The Guardian and Wired, then as the founder of Information is Beautiful. The blog became a publishing programme. Information is Beautiful (2009), Knowledge is Beautiful (2014), and Beautiful News (2023) collect more than 1,500 graphics that take subjects ranging from drug deaths to global wealth and turn them into images a non-specialist can read. The craft sits in the choices: what to compare, what to leave out, what visual metaphor lets a number argue with itself. In 2012 he co-founded what became the Kantar Information is Beautiful Awards with Aziz Cami, then Creative Director at Kantar. Through that platform McCandless has spent more than a decade looking at the best data visualisation work in the world, which gives him an unusually wide reference set when advising teams on what separates a chart that lands from one that does not. His work has been exhibited at the Museum of Modern Art, Tate Britain, and the Wellcome Trust gallery, and his TEDGlobal 2010 talk on the beauty of data visualisation introduced the field to a mainstream audience. For organisations sitting on data they cannot translate into action, he offers the rarer skill: editorial judgement on what is worth showing, and how. Key speaking topics Data visualisation Information design Data storytelling Data journalism Visual communication Creativity and pattern recognition Infographics in business communication Ideal for CMOs, brand and marketing leaders rethinking how data shapes customer narratives Communications, internal comms, and corporate affairs leads briefing senior audiences Heads of data, analytics, and insight whose dashboards are not changing decisions Innovation and design leaders building visual literacy across the organisation Audience outcomes A working vocabulary for what makes a data visualisation land with a non-specialist audience Sharper editorial judgement on which numbers in a dataset are worth showing and which are noise Concrete examples from across journalism, design, and the IIB Awards archive of what good looks like A clearer view of how to brief designers, agencies, and internal teams on data-led communication

Why organisations work with Professor Sir David Spiegelhalter His named frameworks – the “micromort” (a one-in-a-million unit of risk) and “microlife” – give non-technical leaders a usable vocabulary for discussing probability and relative risk. That vocabulary changes how organisations communicate uncertainty internally, not just in a keynote room. The Winton Centre for Risk and Evidence Communication, which he chaired at Cambridge, ran controlled experiments on how different ways of presenting uncertainty affect trust and decision quality. His approach is built on tested research into what actually changes how audiences respond to evidence. His two Pelican bestsellers, The Art of Statistics (2019) and The Art of Uncertainty (2024) – named Best Book of the Year by both Forbes and The Economist – demonstrate an unusually rare ability: making genuinely complex statistical argument accessible to any senior audience, not just specialists. He played a leading statistical role in several of the UK’s most consequential public inquiries, including the Shipman murders, the Bristol Royal Infirmary children’s heart surgery case, and the Infected Blood Inquiry. He understands firsthand what happens when statistical evidence is ignored, contested, or misread at institutional level. As a Non-Executive Director of the UK Statistics Authority, he operates at the intersection of regulatory scrutiny, data quality, and public accountability – experience that is directly relevant to any board discussion about evidence governance or public reporting. Biography highlights Emeritus Professor of Statistics, University of Cambridge; former Winton Professor for the Public Understanding of Risk (2007-2018) Knighted 2014 for services to medical statistics; OBE 2006; Fellow of the Royal Society (elected 2005) President, Royal Statistical Society, 2017-2018; Non-Executive Director, UK Statistics Authority Author of The Art of Statistics (Pelican, 2019), published in eleven languages, and The Art of Uncertainty (Pelican, 2024), named Best Book of the Year by Forbes and The Economist Presented BBC Four documentaries Tails You Win: The Science of Chance and the award-winning Climate Change by Numbers; appeared on BBC Radio 4 Desert Island Discs (2022) Guest columnist for The Times, The Guardian, and New Scientist; host of podcast Risky Talk; leading statistical contributor to the Shipman, Bristol Royal Infirmary, and Infected Blood public inquiries Biography Statistical evidence routinely gets stripped of its uncertainty before it reaches the people who need to act on it. By the time a risk figure reaches a boardroom, its limitations have usually been smoothed over. David Spiegelhalter has spent his career examining why this happens, and what it costs. As Winton Professor for the Public Understanding of Risk at Cambridge from 2007 to 2018, and then as Chair of the Winton Centre for Risk and Evidence Communication, Spiegelhalter ran research programmes designed to test how different ways of presenting uncertainty affect trust and decision quality. His framework treats the communication of uncertainty not as a messaging problem but as an evidence question – one with measurable consequences for how organisations are perceived and trusted. His work has extended into the most consequential institutional settings. He played a leading statistical role in the public inquiries into Harold Shipman’s murders, the Bristol Royal Infirmary children’s heart surgery case, and the Infected Blood Inquiry. As a Non-Executive Director of the UK Statistics Authority, he sits at the intersection of regulatory oversight, data quality, and public accountability. His two Pelican bestsellers – The Art of Statistics (2019) and The Art of Uncertainty (2024), named Best Book of the Year by Forbes and The Economist – show that serious statistical argument can reach a mainstream audience without dilution. The Art of Statistics has been published in eleven languages. Knighted in 2014 for services to medical statistics and elected a Fellow of the Royal Society, Spiegelhalter brings a combination of research depth, regulatory experience, and communication skill that is genuinely rare. Key speaking topics Risk communication and statistical evidence Communicating uncertainty to non-technical audiences Data literacy and probabilistic thinking Trust in numbers and institutional credibility Statistical evidence in public policy Evidence-based decision-making Medical statistics and health data Ideal for Boards and non-executive directors with risk oversight responsibilities C-suite and senior leadership teams navigating complex evidence and forecasting Risk, compliance, and regulatory affairs functions Public sector leaders and policy teams that rely on statistical evidence Audience outcomes A clearer understanding of how to read and challenge statistical claims in briefings and reports Practical frameworks for communicating uncertainty to boards, regulators, or the public without losing credibility Sharper awareness of the specific ways risk data gets misrepresented, and the capacity to detect it A reframing of uncertainty as a communicable, manageable fact rather than a weakness to conceal Better questions to bring to any high-stakes decision that rests on probabilistic or statistical evidence

Why organisations work with Didem Ün Ateş She has operationalised responsible AI inside three of the world’s largest organisations (Microsoft, Accenture, and Schneider Electric) as an executive with direct accountability, not as an external advisor. That gives her a precise understanding of where enterprise AI governance breaks down in practice. Her role as Advisor and Generative AI Council Member for Goldman Sachs Value Accelerator, working with over 300 portfolio companies, gives boards and investment teams a live investor-grade view of how AI strategy translates, or fails to translate, into commercial value and risk-adjusted returns. LotusAI’s documented methodology, running 60 co-creation workshops across more than 200 SVPs and VPs to identify and prioritise 200 generative AI use cases inside a single Fortune 500 company, is a concrete, tested model for enterprise AI adoption, not a conceptual framework. As an accredited algorithm auditor and former WEF AI Governance Alliance Fellow, she connects organisations to the governance principles emerging at the regulatory and multilateral level, including the responsible-AI debates shaping how the technology is regulated globally. Her dual degree from the University of Pennsylvania (BS in Engineering from the Moore School and BS in Economics from the Wharton School), combined with an MBA from Columbia Business School, means she can engage credibly at both the technical architecture and commercial investment layers of an AI decision, a combination that is genuinely uncommon. Biography highlights Founder and CEO of LotusAI Ltd, advising private equity firms, hedge funds, financial institutions, and Fortune 500 companies on AI strategy, responsible AI governance, and talent transformation Former Vice President, AI Strategy & Innovation at Schneider Electric, where she defined the company’s AI and generative AI strategy, innovation roadmaps, ecosystem partnerships, and responsible AI programme Former Head of Data & AI / General Manager, Data & AI at Microsoft (EMEA) and former Managing Director of Data & AI, Europe at Accenture’s Microsoft Business Group; earlier roles at Capgemini, EY, BT, and Motorola Advisor and Generative AI Council Member for Goldman Sachs Value Accelerator, working with the firm and over 300 portfolio companies Board member of the Edge AI Foundation, the Wharton AI Alumni Studio, the Columbia Business School Women’s Circle, and the Hg Foundation Technology Advisory Board Certified Algorithm Auditor and Executive Coach; former WEF AI Governance Alliance Fellow; Forbes Technology Council member TechWomen100 Champion and Trailblazer 50 honouree; 2025 recognition includes CEO of the Year Awards UK in the AI Advisory category, Responsible AI Innovation & Growth in Business Award, New Technology Consultancy of the Year, Best New Business of the Year, and British Business Excellence Award Alumna of the University of Pennsylvania (Management & Technology dual degree: BS in Engineering from the Moore School and BS in Economics from the Wharton School) and Columbia Business School (MBA) Biography Most enterprise AI strategies stall in the same place: at the gap between approved roadmap and accountable delivery. Didem Ün Ateş has worked on both sides of that gap inside organisations large enough for every failure to matter. As VP, AI Strategy & Innovation at Schneider Electric, she held direct accountability for the company’s generative AI strategy and innovation roadmap, its ecosystem partnerships, its responsible and sustainable AI programme, and the upskilling of its global workforce. Before that, she served as Head of Data & AI and General Manager, Data & AI at Microsoft EMEA, with revenue accountability of over $2.7 billion across more than 70 subsidiaries, and as Managing Director of Data & AI, Europe within Accenture’s Microsoft Business Group. She founded LotusAI Ltd to apply that operational depth where boards and investment teams need it most. Her advisory relationship with Goldman Sachs Value Accelerator, as Advisor and Generative AI Council Member, puts her in direct conversation with over 300 portfolio companies on AI value creation, governance, and risk. LotusAI’s engagements have included guiding a generative AI opportunity scan across more than 200 senior leaders in a Fortune 500 company, delivering a three-year use-case roadmap tied to the organisation’s strategic plan and regulatory requirements. Her work sits at the intersection of commercial strategy and institutional accountability. As an accredited algorithm auditor and former WEF AI Governance Alliance Fellow, where she has co-chaired sessions on AI and sustainability at WEF summits, she connects the boardroom conversation to the multilateral frameworks shaping how responsible AI is defined and regulated globally. She also sits on the Hg Foundation Technology Advisory Board, alongside senior leaders from ING, Google, McKinsey, and Accenture. She holds a dual degree from the University of Pennsylvania, in Engineering from the Moore School and in Economics from the Wharton School, and an MBA from Columbia Business School. Recent recognition includes the CEO of the Year Awards UK 2025 in the AI Advisory category, the Responsible AI Innovation & Growth in Business Award 2025, and the British Business Excellence Award 2025, alongside the earlier TechWomen100 Champion and Trailblazer 50 honours. Key speaking topics Enterprise AI strategy and governance Generative and agentic AI adoption at scale Responsible and sustainable AI AI for private equity, private credit, and financial services AI-driven workforce capability and talent transformation AI risk management and regulatory compliance Edge AI, physical AI, embedded AI, and tinyML AI leadership training and executive workshops Ideal for Boards and C-suite teams (CEO, CTO, CDO, CAIO) building or pressure-testing enterprise AI strategies Chief Data and AI Officers designing governance frameworks for generative AI adoption Private equity and investment leadership teams assessing AI value creation and risk across portfolios Transformation and innovation leaders in financial services, industrial, and consulting sectors navigating responsible AI operationalisation Audience outcomes Practical criteria for identifying, prioritising, and sequencing AI use cases, tools, platforms, and agents within a complex organisation A clearer model of where enterprise AI governance frameworks typically break down, and what structural conditions make them durable A sharper understanding of how responsible AI principles translate into investment-grade governance, not just compliance documentation A working language for talent transformation in the agentic AI era, including the workforce decisions board members need to be ready to make More confident language for board-level conversations on AI risk, sustainability, and value creation Awareness of inclusive AI design as both a reputational risk and a long-term commercial consideration

Why organisations work with Karen Nelson-Field She runs Amplified Intelligence, the company whose eye-tracking dataset of 55,000+ panellists sits behind the IAB and MRC’s 2025 attention measurement accreditation standards. The category she explains is the category she helped define. Her three books, published by Oxford University Press and Springer, give CMOs and media leads a defensible academic spine for redirecting budget away from cheap reach and toward attention-weighted media. A decade inside the Ehrenberg-Bass Institute means her commercial advice rests on the same evidence base as How Brands Grow, the most influential marketing science framework of the last twenty years. Her client list, Google, Meta, Snapchat, PepsiCo, Nestlé, Mars, Unilever, OMD, means she addresses media owners and advertisers using the same vocabulary, neither captured by either side. Biography highlights Founder and CEO, Amplified Intelligence (founded 2016) Industry Professor of Media Innovation, The University of Adelaide Former Senior Research Associate, Ehrenberg-Bass Institute for Marketing Science Author of three books on media science, published by Oxford University Press and Springer Judge, IPA Effectiveness Awards 2022 Work covered in The New York Times, Bloomberg, CNBC, Forbes, Wall Street Journal, The Drum, WARC Biography For two decades, advertising spent more on media than on any other line of marketing investment, and verified less of its return than almost any other category of corporate spend. The industry standard for measuring whether an ad worked was whether the pixels were technically on screen. Whether a human looked at them was a separate question, mostly unasked. Karen Nelson-Field is the researcher who turned that question into a measurable category. As Founder and CEO of Amplified Intelligence, she built the eye-tracking and machine-learning infrastructure that quantifies active and passive attention across TV, digital, and social environments. The company now operates the largest human attention panel in the world, and its data informed the IAB and MRC’s 2025 attention measurement accreditation standards. Her authority predates the company. A decade at the Ehrenberg-Bass Institute, working alongside Byron Sharp on buyer behaviour and brand growth, gave her the evidence-based grounding that distinguishes her from attention commentators who appeared after the category became fashionable. Her three books, Viral Marketing, The Attention Economy and How Media Works, and The Attention Economy: A Category Blueprint, are read as the field’s reference texts rather than its trade press. For boards and CMOs, the practical value is direct. She names where current media metrics are misleading, what the replacement looks like, and how to allocate budget against the new evidence. Clients including Google, Meta, PepsiCo, Mars, and Unilever commission her not for trend commentary but for the underlying mathematics of where their advertising money actually performs. Key speaking topics Attention as a media currency The economics of advertising effectiveness Brand growth and buyer behaviour Media planning under digital fragmentation AI and machine learning in audience measurement Marketing science and evidence-based strategy Ideal for CMOs and marketing directors reassessing media investment frameworks Media agency leadership renegotiating attention-based trading models Platform and media owner executives benchmarking against new measurement standards Board-level conversations on marketing accountability and budget governance Audience outcomes A working definition of attention that distinguishes it from viewability, reach, and exposure Specific evidence on which formats and platforms convert attention into commercial outcome A clear view of where IAB and MRC 2025 measurement standards change buyer obligations Direct guidance on reallocating media budget against attention-weighted metrics An evidence base drawn from the same school as How Brands Grow, applied to current media conditions

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 Sidney Shapiro Argues openly against AI hype. His featured keynote “Stop Believing the AI Hype” treats vendor claims as a leadership evaluation problem, which is the conversation regulated buyers and procurement teams actually need to have. Has published governance work in peer-reviewed venues. A Routledge book chapter on AI governance for higher education institutions, and a forthcoming IGI Global chapter on the governance of generative AI, give him a documented position on what responsible deployment looks like in practice. Brings a decade of operational data science alongside the academic work. A former Data Science Manager at Sofvie building occupational health and safety software, he speaks to the integration and accountability problems that follow a proof of concept. Active in the working practitioner conversation. Hosts the AI in Action podcast and organises the Southern Alberta AI Conference, which together keep his perspective grounded in what organisations across healthcare, agriculture, manufacturing, and public administration are actually trying to ship. Biography highlights Assistant Professor of Business Analytics, Dhillon School of Business, University of Lethbridge Adjunct Assistant Professor of Computer Science, University of Lethbridge Book chapter on AI governance frameworks for higher education published by Routledge (2025); forthcoming chapter on the governance of generative AI with IGI Global Host of the AI in Action podcast and organiser of the Southern Alberta AI Conference Former Data Science Manager at Sofvie Inc., building data systems for occupational health and safety in the mining sector Featured or quoted in The Globe and Mail, CBC News, Lethbridge Herald, and Canadian Family Offices Magazine Biography Most organisations have already run AI pilots. The harder question is what happens after the proof of concept ends. Procurement standards stay unclear, and the governance frameworks people quote in slides do not survive contact with real workflows. This is the gap Sidney Shapiro works in. He is Assistant Professor of Business Analytics at the Dhillon School of Business at the University of Lethbridge, and Adjunct Assistant Professor of Computer Science. Published work includes a Routledge book chapter on AI governance frameworks for higher education and a forthcoming IGI Global chapter on the governance of generative AI. Both set out what responsible deployment actually requires from organisations. His authority on the operational side comes from a decade in data-centric roles before academia. He worked as a Data Science Manager at Sofvie, an occupational health and safety software company in the mining sector, and previously coordinated the Business Analytics graduate program at Cambrian College. That background shapes how he addresses the procurement and integration problems that follow proof of concept, which is where most AI initiatives slow or stall. Public engagement keeps the work current. Shapiro hosts the AI in Action podcast, interviewing practitioners and researchers across healthcare, education, finance, and software development on what AI deployment actually looks like in their organisations. He also organises the Southern Alberta AI Conference. Recent audiences include Indigenous Services Canada, McCain Foods, EY Calgary, CMC Alberta, and the Digital Research Alliance of Canada. These are buyers with low tolerance for vendor language and high tolerance for hard questions. Key speaking topics AI governance and responsible deployment Generative AI in business and society Data privacy and trust in AI systems AI literacy for non-technical leaders Analytics leadership and digital transformation AI in higher education policy Ideal for C-suite leadership teams and boards facing AI governance and accountability decisions CIOs, CTOs, and Chief Data Officers moving AI from pilot to operational deployment Public sector leaders, including municipal and federal government, working under privacy and equity constraints on AI adoption Higher education executives shaping institutional policy on generative AI in teaching and research Audience outcomes A working framework for evaluating vendor AI claims against operational reality, in time to shape procurement decisions Sharper questions to ask of any AI initiative on data governance and where accountability sits when AI is wrong A grounded view of what generative AI does well today and where it still fails, with the implications for organisational adoption Reference points for designing operational AI governance: procurement standards, acceptable-use policies, and accountability mechanisms

Why organisations work with Gary Foote He is a current F1 Chief Information Officer, now at GM Performance Power Units, building the technology function for the Cadillac F1 power unit programme from the ground up. He ran the IT and digital operation at Haas F1 for a decade, taking the team from a start-up entry in 2016 to a competitive, data-driven constructor with global infrastructure. His remit at Haas covered IT, digital, facilities, operations, ESG and business continuity, which gives boards a realistic view of how sustainability and technology intersect inside a performance business. He has been named in the UK CIO 100 for five consecutive years and is a Fellow of the British Computer Society, so the credibility holds up in a room of sitting CIOs. His track record spans Cosworth, Honda Racing F1, Brawn GP and Mercedes Grand Prix, covering six motorsport world championships, which lets him speak to high-performance culture without leaning on abstract frameworks. Biography highlights Chief Information Officer, GM Performance Power Units, the General Motors and TWG Global company delivering the Cadillac F1 power unit. Former CIO and Director of Sustainability at MoneyGram Haas F1 Team, a role held for approximately ten years. Earlier senior technology roles at Mercedes Grand Prix, Brawn GP, Honda Racing F1 and Cosworth Technology. Fellow of the British Computer Society. Named in the UK CIO 100 five years running, 2021 to 2025. Trustee at Tove Learning Trust and active advocate for STEM education. Biography Haas F1 arrived on the grid in 2016 with two cars, a lean headcount and a blank technology estate. Gary Foote built the IT and digital backbone that made that entry possible, then spent a decade scaling it into the stack of a competitive constructor. His brief at Haas eventually covered IT, digital, facilities, ESG and business continuity, which is a wider surface than most corporate CIO roles carry. That is the frame he brings to boards: technology strategy shaped by the realities of logistics, carbon reporting, risk and culture inside one business. Today he is CIO at GM Performance Power Units, the General Motors and TWG Global company set up to build the Cadillac F1 power unit. He is doing again what most CIOs never get the chance to do once, which is stand up an elite-sport technology function from a clean sheet while the competitive clock is already running. The credentials back the story. He is a Fellow of the British Computer Society and has been listed in the UK CIO 100 five years in a row. He writes and speaks in named industry outlets including Computer Weekly, Infosecurity Magazine and Celonis, and he sits on the board of Tove Learning Trust. Key speaking topics Technology leadership in high-performance sport Artificial intelligence and data strategy in Formula 1 Cybersecurity in time-critical operations Digital transformation inside elite teams Sustainability and ESG in motorsport Scaling an IT function from start-up to championship contender High-performance culture and cross-functional operations Ideal for CIO, CTO and CDO audiences looking at AI, data and infrastructure investment decisions Boards and executive teams benchmarking their operating model against high-tempo performance businesses Sustainability and ESG leaders in industrial and logistics-heavy sectors Audience outcomes A working picture of how a Formula 1 team uses data, AI and cloud infrastructure to compete race by race. A sharper view of how technology, facilities and ESG sit inside one leadership remit rather than separate silos. Practical reference points for scaling an IT function quickly without accruing legacy risk. A candid read on cybersecurity and business continuity in an environment where downtime is visible to the world.

Why organisations work with Hannah Fry Hello World (2018) advances a specific governance argument: that AI fails not because the technology is wrong, but because accountability was poorly designed. That gives boards a working framework for AI governance, not just a sharper awareness of risk. Her UCL research was applied directly – she worked with governments, police forces, health analysts, and supermarkets, translating mathematical models of human behaviour into operational decisions. That applied track record is what separates her algorithmic analysis from academic commentary. The accuracy-versus-fairness trade-off in predictive systems is a mathematical problem before it is an ethical one. She can explain it precisely enough for legal, compliance, and strategy leaders to translate it into governance decisions – not just for data teams. She holds Cambridge’s inaugural Professorship in the Public Understanding of Mathematics – a chair that formalises the argument that making quantitative thinking accessible to non-specialists is itself a research discipline. As President of the Institute of Mathematics and its Applications and a Fellow of the Royal Academy of Engineering, her institutional credibility extends well beyond media profile. Biography highlights First Professor of the Public Understanding of Mathematics at the University of Cambridge (from January 2025), joining the Department of Applied Mathematics and Theoretical Physics Previously Professor in the Mathematics of Cities at UCL Centre for Advanced Spatial Analysis; research applied to urban crime, transport, health analysis, and terrorism, with direct advisory roles across government and industry Fellow of the Royal Academy of Engineering (elected 2022) and Fellow of Queens’ College, Cambridge President of the Institute of Mathematics and its Applications Author of Hello World: How to Be Human in the Age of the Machine (2018) – winner of the 2020 Asimov Prize; shortlisted for the Baillie Gifford Prize for Non-Fiction and the Royal Society Science Book Prize Christopher Zeeman Medal (2018) and Royal Society David Attenborough Award (2024) for contributions to science communication Delivered the 2019 Royal Institution Christmas Lectures – only the fourth mathematician to do so since Michael Faraday established the series in 1825 BBC presenter across AI Confidential with Hannah Fry (2026), The Secret Genius of Modern Life (BBC Two), and Bloomberg Originals’ The Future with Hannah Fry (2023); regular contributor to The New Yorker; TED Talk «The Mathematics of Love» has exceeded five million views Biography Hannah Fry spent over a decade at UCL studying the mathematics of cities – how people move through urban space, where crime clusters, how disease propagates through populations. Her research was applied: she worked directly with governments, police forces, health analysts, and supermarkets. The question she returned to consistently was what happens when those decisions are automated, and whether the automation can be trusted. Her book Hello World (2018) answered that question with precision. Algorithms are not objective – they encode the biases embedded in the data they were trained on, often before anyone noticed. The response, she argued, is not to distrust AI but to design governance that keeps humans genuinely in the loop. She called this the «cyborg future» – a practical framework for accountability, not a metaphor. The book won the 2020 Asimov Prize and was shortlisted for the Baillie Gifford Prize for Non-Fiction and the Royal Society Science Book Prize. In January 2025, she became Cambridge’s first Professor of the Public Understanding of Mathematics, following in the footsteps of David Spiegelhalter and Stephen Hawking as a public interpreter of the discipline. She also serves as President of the Institute of Mathematics and its Applications and holds a Fellowship of the Royal Academy of Engineering. Her media work extends the argument across audiences that no academic publication reaches. BBC Two’s AI Confidential with Hannah Fry (2026) investigated how AI is reshaping human relationships and institutional decisions. The Secret Genius of Modern Life ran over two BBC Two series. She delivered the 2019 Royal Institution Christmas Lectures – only the fourth mathematician in the lectures’ 200-year history to do so – and writes regularly for The New Yorker. For leadership teams moving from AI adoption to AI accountability, that combination of mathematical rigour and public clarity is not a communications asset. It is the substance of what she brings. Key speaking topics AI and algorithmic decision-making Data bias and algorithmic fairness Human-machine governance Risk and probability in complex systems The mathematics of human behaviour Urban data and city systems Science communication and mathematical literacy Ideal for Executive and board-level audiences setting AI governance and risk policy Chief Data Officers, Chief Technology Officers, and senior technology strategy teams Leadership conferences addressing responsible AI adoption in regulated industries – healthcare, financial services, criminal justice Public sector audiences navigating the use of predictive and automated systems Audience outcomes A clearer understanding of how algorithmic bias is produced and why it is mathematically difficult to eliminate without deliberate trade-offs A practical mental model – drawn from the Hello World framework – for when to trust algorithmic output and when to retain human judgment Confidence to engage substantively with AI governance questions without requiring deep technical knowledge Greater ability to interrogate the assumptions behind data-driven outputs, rather than treating them as authoritative A vocabulary for discussing AI risk that is precise and usable in board-level and policy conversations

Why organisations work with Harmeen Mehta She has run digital and AI transformation as an operator inside three of the world’s largest technology and telecoms incumbents (Equinix, BT Group, Bharti Airtel), not as an external advisor. She has built and scaled new digital businesses, including Airtel Payments Bank and Airtel’s cloud and security units, giving her credibility on revenue creation, not only cost out. Her board work at Lloyds Banking Group, including the IT and Cyber Advisory Forum, gives her direct line of sight on how non-executive directors expect technology risk and AI governance to be discussed. Recipient of the 2018 MIT Sloan CIO Leadership Award and the TM Forum Global CIO of the Year, both peer-judged on execution. Biography highlights Executive Vice President and Chief Digital and Innovation Officer, Equinix (from April 2025). Former Chief Digital and Innovation Officer, BT Group (March 2021 to September 2024). Former Global CIO and CEO of Cloud and Security Business, Bharti Airtel (seven years). Earlier CIO positions at BBVA, HSBC, and Bank of America Merrill Lynch. Independent Non-Executive Director, Lloyds Banking Group; Vice-Chair and Board member, TM Forum. 2018 MIT Sloan CIO Leadership Award; TM Forum Global CIO of the Year; Women Economic Forum “Woman of the Decade in Innovation and Leadership.” Biography The gap between AI pilot and AI in production is where most enterprise value is currently lost. Boards want commercial outcomes; CIOs are still cleaning up legacy estate. Mehta has spent the last decade operating exactly in that gap, and her career arc is unusual because she has done it across three sectors. At Bharti Airtel, as Global CIO and head of the cloud and security business, she launched Airtel Payments Bank and built standalone cloud and security units serving hundreds of millions of customers. This is operating P&L experience, not advisory work. At BT Group, as the first Chief Digital and Innovation Officer, she ran a Group-wide programme that simplified a complex IT estate, scaled digital channels, and put AI into production across customer operations. Earlier CIO roles at BBVA, HSBC, and Bank of America Merrill Lynch gave her grounding in regulated environments, where governance, cyber risk, and resilience are not afterthoughts. That perspective now feeds her board work at Lloyds Banking Group, where she sits on the IT and Cyber Advisory Forum, and at TM Forum, where she is Vice-Chair and chairs the Appointments and Governance Committee. In April 2025 she joined Equinix as Executive Vice President and Chief Digital and Innovation Officer, reporting to CEO Adaire Fox-Martin. The 2018 MIT Sloan CIO Leadership Award and the TM Forum Global CIO of the Year recognise the same thing the boards she serves on do: she is judged on what she ships, not what she proposes. Key speaking topics Artificial intelligence and operational deployment Digital transformation in complex incumbents Cybersecurity and technology risk at board level Data strategy and the commercial value of data Cloud, platforms, and modern engineering operating models Women in technology and senior STEM leadership Building new digital businesses inside large groups Ideal for Boards and audit, risk, and technology committees commissioning conversations on AI governance and cyber resilience. CEOs, CIOs, CDOs, and transformation leads moving AI from pilot to production. Telecoms, financial services, and digital infrastructure leadership teams confronting legacy estate and platform redesign. Audience outcomes A clearer view of where AI investment converts to commercial value and where it stalls. An operator’s perspective on what good AI governance looks like inside a regulated, board-supervised business. A practical read on how digital channels and platforms produce revenue, not only cost reduction. Sharper questions to ask the executive team about AI, cyber, and data risk.