Data Analytics

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.

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 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 Theresa Payton She has held the most accountable technology seat in the world – not as an adviser, but as the operator responsible for securing the Executive Office of the President. That is a different class of credential from the vendor or think-tank backgrounds most cybersecurity speakers bring. Her book Manipulated – on The Guardian’s Top 10 Books About Cybercrime list, maps the specific mechanics of AI-driven disinformation, deepfakes, and election interference; organisations working on trust, governance, or brand integrity get a strategic framework they can act on. As a patented inventor of security designs and co-founder of a cybersecurity product company (Dark3, acquired by Celerium), she brings the practitioner’s perspective, not the theorist’s: she has built the solutions, not just described the problem. She translates threat intelligence into board-level language. Her seventeen years across banking technology, government, and private advisory work means she can speak credibly to risk committees, technology leaders, and general business audiences in the same event. Biography highlights First female White House Chief Information Officer, serving under President George W. Bush, 2006–2008 Founder and CEO of Fortalice Solutions, ranked in the Global Cybersecurity Top 500 by Cybercrime Magazine Prior senior technology executive roles at Bank of America and Wells Fargo Author of Manipulated: Inside the Cyberwar to Hijack Elections and Distort the Truth, The Guardian Top 10 Books About Cybercrime list; revised edition published 2024 Co-inventor on an approved U.S. patent in security design Recipient of the FBI Director’s Award for Community Service; 2020 CISO MAG Cybersecurity Crusader of the Year; 2019 Woman Cybersecurity Leader of the Year Starred as Deputy Commander of Intelligence on the CBS reality series Hunted Regular security commentator on the Today Show, Good Morning America, CNN, CBS News, Fox News, and MSNBC Biography Theresa Payton ran cybersecurity for the White House. From 2006 to 2008, as Chief Information Officer for the Executive Office of the President under George W. Bush, she was accountable for the security of IT systems used by the President and 3,000 staff: not as an adviser, but as the person responsible. Before that, she spent sixteen years in senior technology roles at Bank of America and Wells Fargo. The combination is unusual: operational authority at the highest level of government, built on a banking technology foundation. That background shapes how she approaches cyber risk with corporate audiences. The question she puts to boards is not whether their organisation will face a breach, but whether their governance structures are designed to know about it, act on it, and contain it. As CEO of Fortalice Solutions, listed in the Global Cybersecurity Top 500, she has spent fifteen years working through exactly that question with Fortune 100 clients. Her book Manipulated, named one of The Guardian’s Top 10 Books About Cybercrime, examines how AI-generated deepfakes, self-replicating chatbots, and coordinated disinformation campaigns are used to compromise institutions from the outside in. A revised edition was published in 2024. She is also a co-inventor on an approved U.S. patent in security design, and previously co-founded Dark3, a cybersecurity product company later acquired by Celerium. Her profile extends beyond the conference circuit. She has testified before government bodies, served as Deputy Commander of Intelligence on the CBS series Hunted, and is a regular security analyst on networks including CNN, CBS News, and MSNBC. For organisations where the board genuinely needs to understand what it owns and what it is exposed to, she is one of the few speakers who has actually sat in that seat. Key speaking topics Cybersecurity governance and board-level risk AI-driven threats and deepfake manipulation Secured digital transformation Election security and information integrity Data privacy and digital identity Fraud and social engineering Cybersecurity leadership and workforce Ideal for Boards and non-executive directors navigating cyber and AI governance CISOs, CIOs, and CTOs developing organisation-wide security strategy Risk, compliance, and audit committees in regulated sectors Technology and transformation leaders in financial services, healthcare, and government-adjacent industries Audience outcomes A board-ready framework for assessing the gap between digital investment and security governance Practical understanding of how AI-driven threats – deepfakes, disinformation, autonomous attack tools – operate in practice, not just in theory Clearer accountability structures for cyber risk at executive level Awareness of the specific ways social engineering and fraud are evolving, with concrete defensive steps Language and framing to take cybersecurity from a technical department concern to a strategic leadership conversation

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 Timandra Harkness A working statistician on the Council of Trustees of the Royal Statistical Society who can speak fluently to technical and non-technical audiences in the same room. Author of two books that bracket the AI conversation: Big Data: Does Size Matter? on what data actually does and does not tell us, and Technology Is Not the Problem on why our cultural anxieties about tech are misdirected. A mainstream BBC Radio 4 presenter on FutureProofing, How To Disagree and Steelmanning, which means she handles complex, contested material on air for general audiences and brings that craft to a corporate room. Speaks regularly at institutions that take rigour seriously, including the Royal Society, the Alan Turing Institute, and the Royal Academy of Engineering, so the substance survives scrutiny from technical buyers. Comfortable as keynote speaker, panel moderator, or event host, which makes her useful across the full shape of a leadership offsite or technology summit. Biography highlights Author, Big Data: Does Size Matter? (Bloomsbury Sigma, 2016) and Technology Is Not the Problem (HarperCollins, 2024). Council of Trustees, Royal Statistical Society; chair of the editorial board, Significance journal. Writer and presenter, BBC Radio 4 series including FutureProofing, How To Disagree, Steelmanning, and Political School. Resident reporter across eight series of BBC Radio 4’s The Human Zoo. Speaker and lecturer at the Royal Society, Alan Turing Institute, Royal Academy of Engineering, RSA, Cheltenham Science Festival, and the Abel Prize for Mathematics. Contributor to the Telegraph, Guardian, Sunday Times, WIRED, New Statesman, UnHerd and BBC Focus. Biography Most arguments about technology in the boardroom are arguments about something else. Trust. Identity. What kind of company we want to be. Timandra Harkness, a statistician and broadcaster whose work spans both BBC Radio 4 and the Royal Statistical Society, is unusually well placed to name what is actually being discussed. Her first book, Big Data: Does Size Matter?, published by Bloomsbury Sigma in 2016, took the data revolution seriously without inflating it. Her second, Technology Is Not the Problem, published by HarperCollins in 2024, makes the harder case: that our anxieties about AI and social media are anxieties about ourselves, and that locating the problem in the technology is what stops us from acting on it. She presents BBC Radio 4’s FutureProofing, How To Disagree, and Steelmanning, programmes that work because they take competing arguments seriously rather than flattening them. That habit transfers. In a leadership room, she is the speaker who can hold a senior team’s attention on the awkward middle of an AI question, where the technical position and the cultural position have to be reconciled. She sits on the Royal Statistical Society’s Council of Trustees and chairs the editorial board of Significance, the Society’s journal. She has spoken at the Royal Society, the Alan Turing Institute, and the Royal Academy of Engineering. The technical rigour is real, and it is what stops the cultural argument from drifting into commentary. Key speaking topics Big data and what it does and does not reveal The cultural and ethical questions raised by AI Statistics, evidence and decision-making Human agency in an automated environment Identity, recognition and the social media question Technology and trust Disagreement and constructive argument inside organisations Ideal for Boards and executive teams making AI, data, and digital infrastructure decisions Technology and innovation summits seeking a credible non-vendor voice Leadership offsites where the AI conversation has to bridge technical and cultural ground CDO, CTO, and CHRO audiences working through the human consequences of new systems Audience outcomes A sharper sense of what data and AI systems can and cannot do, written by someone who works with statisticians A clearer language for the cultural and ethical questions executive teams keep deferring A defensible way to think about agency, recognition and trust as the technology landscape shifts Better-quality internal disagreement on contested technology decisions

Why organisations work with Karen Eber She has run culture and learning inside two of the largest professional environments in the world, GE and Deloitte, so her storytelling work is built around how decisions actually get made in a 90,000-person organisation. Her Perfect Story method is grounded in neuroscience, including how attention, empathy, and trust are formed in the brain during a story, giving leaders a defensible reason to invest in communication craft beyond presentation polish. She works fluently across storytelling for leadership, storytelling for change, and storytelling with data, which means a single engagement can serve a town hall, a board update, and a sales conversation. Her book carries genuine third-party validation: Axiom Business Book Award Silver Medal, International Book Awards winner, and Next Big Ideas Club selection, signalling editorial quality rather than self-published reach. Biography highlights Author of The Perfect Story: How to Tell Stories that Inform, Influence, and Inspire, HarperCollins Leadership / Harper Horizon. TED speaker: “How your brain responds to stories, and why they’re crucial for leaders”. Former Head of Culture and Head of Leadership Development at General Electric. Former Chief Learning Officer / Head of Leadership Development at Deloitte. Guest lecturer at London Business School, MIT, and Stanford. Featured in Fast Company, Forbes, Inc., Entrepreneur, NPR, CNBC, Quartz, and Business Insider. Biography Most internal communication inside large organisations is information transfer in slide form. Strategy is announced, change is rolled out, performance is reported, and almost none of it changes how a manager behaves on a Tuesday morning. Karen Eber’s work begins from that problem. She spent two decades inside the kind of environment where this matters most. At General Electric she led Culture and Leadership Development across a global workforce. At Deloitte she ran leadership development for the firm. Those roles required her to land complex messages, on diverse audiences, in cultures that were already crowded with corporate noise. Her book The Perfect Story sets out a practical neuroscience-based method for how leaders find, shape, and deliver stories that hold attention and shift behaviour. It has been recognised with an Axiom Business Book Award Silver Medal, an International Book Awards win, and a Next Big Ideas Club “Must-Read” selection. Her TED talk on the neuroscience of leadership storytelling extended the argument to a public audience. What buyers tend to remember from her sessions is that the craft is teachable. She separates storytelling from charisma, breaks down the brain mechanics of attention and trust, and gives senior people specific tools they can use the same week, whether the audience is a board, a sales team, or a hundred frontline managers reading a town hall transcript on a phone. Key speaking topics Storytelling for leadership and influence Storytelling with data Culture change and communication Executive presence and communication craft Neuroscience of attention, trust, and persuasion Employee engagement and internal communication Ideal for CHROs, Chief Learning Officers, and Heads of Leadership Development designing executive communication and culture programmes. Chief Communications Officers and internal communication leaders responsible for change narratives and town hall content. Sales and marketing leadership teams who need to convert data into narrative buyers act on. Senior leadership teams preparing for major strategy, restructure, or integration announcements. Audience outcomes A working neuroscience-based model for how stories hold attention and create trust. Specific techniques for turning data and strategy slides into narratives that move an audience. A clearer separation between what is rhetoric, what is communication craft, and what is leadership behaviour. Tools senior leaders can apply immediately to town halls, board updates, and customer conversations.

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

Why organisations work with Joerg Niessing He teaches inside the C-suite of the brands most boards benchmark against, Google, L’Oréal, Roche, Walmart, Marriott, Diageo and Samsung among them, and brings that pattern recognition into the room. Twenty-five years of advisory work at Prophet plus a senior INSEAD faculty role gives him both the operator’s view of transformation and the academic’s discipline. Few digital strategy speakers credibly hold both. His book The Definitive Guide to B2B Digital Transformation is built around a specific argument that customer centricity, not technology stack, is the variable that separates growth from stalled programmes. The Case Centre’s 2025 Outstanding Case Teacher award recognises a rare ability to make complex transformation cases land with senior executives, which translates directly into keynote and workshop work. He co-directs INSEAD’s flagship Leading AI and Digital Marketing Strategy programme, so his content reflects what CMOs and CEOs are actually being taught at the frontier, not what was written eighteen months ago. Biography highlights Senior Affiliate Professor of Marketing, INSEAD. Former Partner, Prophet. Co-author of The Definitive Guide to B2B Digital Transformation (2020) with Fred Geyer. Winner, Outstanding Case Teacher Competition 2025 (The Case Centre); previous Best Marketing Case award winner. Co-director, INSEAD executive programmes including Leading Digital Marketing Strategy and Leading AI and Digital Marketing Strategy. Has authored 30+ executive cases on companies including Google, Jaguar Land Rover, AccorHotels, BMW Startup Garage and Majid Al Futtaim. Biography Digital transformation programmes do not usually fail on technology. They fail because the strategy, the culture and the data operating model are not aligned, and the customer experience that results is incoherent. That gap between investment and commercial outcome is the territory Joerg Niessing has spent his career on. At INSEAD, he is a Senior Affiliate Professor of Marketing and co-directs flagship executive programmes including Leading Digital Marketing Strategy, Leading AI and Digital Marketing Strategy and B2B Marketing Strategies. His research and teaching focus on digital customer experience, marketing analytics, brand management and the strategic implications of AI for commercial leaders. Before moving to full-time faculty work he was a Partner at Prophet, the brand and customer experience consultancy, where he led client engagements with global businesses across consumer goods, automotive, healthcare and B2B technology. That operating background sits underneath his 2020 book with Fred Geyer, The Definitive Guide to B2B Digital Transformation, which argues that growth comes from prioritising customers over technology, an argument that has aged well as more transformation budgets are scrutinised. The Case Centre named him Outstanding Case Teacher in 2025, recognition of a 30-strong case portfolio on companies including Google, Jaguar Land Rover, AccorHotels, BMW Startup Garage and Majid Al Futtaim. For a senior buyer, that body of work is the substance behind the keynote: he is testing these arguments on executives from the world’s largest brands every week. Key speaking topics Customer-centric digital transformation B2B digital transformation and growth AI and digital marketing strategy Brand building in a digital and AI-driven world Data and analytics as a commercial capability Business model innovation from product to solution Culture and leadership of transformation programmes Ideal for CMOs, Chief Customer Officers and Chief Digital Officers running enterprise transformation programmes. CEOs and boards reviewing the commercial return on multi-year digital and AI investment. B2B leadership teams shifting from product-led to customer-led and solution-led growth. Senior marketing, brand and customer experience teams inside large consumer and B2B businesses. Audience outcomes A sharper view of where customer centricity, not technology, is the binding constraint on growth. A working framework for connecting strategy, culture and data inside a transformation programme. Practical reference points from named global brands, not generic case study language. A clearer commercial agenda for AI in marketing, customer experience and brand. Confidence to challenge the technology-first defaults in their own transformation plans.

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 Sol Rashidi She has personally led AI and data deployments inside Estee Lauder, Merck, Sony Music, Royal Caribbean, and Amazon Web Services, so the advice is field-tested rather than theoretical. She wrote Your AI Survival Guide (Wiley, 2024), the practical deployment playbook that boards and CIOs have started to use as a reference text for moving past pilots. As Senior Fellow at Harvard Kennedy School’s Mossavar-Rahmani Center, she is shaping AI policy thinking at the level boards now have to engage with. She talks credibly to two audiences in the same room: technical leaders who need the architecture to be right, and executive teams who need the commercial and workforce implications spelled out. Her current role as Chief Strategy Officer for Data and AI at Cyera keeps her live inside the AI security and governance conversation that boards are being asked to own. Biography highlights Chief Strategy Officer for Data and AI at Cyera since April 2025. Senior Fellow 2025 to 2026 at Harvard Kennedy School’s Mossavar-Rahmani Center for Business and Government. Author of Your AI Survival Guide (Wiley, 2024), a Top 100 AI book of 2024. Former four-time Fortune 100 C-suite executive: Estee Lauder, Merck, Sony Music, Royal Caribbean. Division Head of Technology, Startups, North America at Amazon Web Services. Holds 10 patents in data and AI; named Forbes “AI Maverick of the 21st Century” and to multiple Top 100 AI Leaders and Top 50 Women in Tech lists. Biography Most enterprise AI programmes look identical from the outside and fail in different ways on the inside. The strategy decks are confident. The pilots run. Then the operating model, the data foundation, or the workforce conversation breaks the deployment before it scales. Sol Rashidi has spent a career on the operator side of that problem, and now advises the boards and executive teams who own it. She helped launch IBM Watson in 2011, then became the first Chief Data and AI Officer in a Fortune 500 company. Across the next decade she ran data, analytics, and AI organisations as a four-time C-suite executive at Estee Lauder, Merck, Sony Music, and Royal Caribbean, and led the Startups technology division for Amazon Web Services in North America. The result is a practitioner record measured in 30 to 200+ AI deployments inside large enterprises, not in conference panels. That record is now packaged in two formats. Your AI Survival Guide (Wiley, 2024) is the playbook for non-technical leaders running real deployments, structured around strategy, use case selection, design, implementation, and long-term operations. As Senior Fellow at Harvard Kennedy School’s Mossavar-Rahmani Center for Business and Government, she is developing an ontological framework for AI policy aimed at aligning government and business on what the technology actually is and how it should be governed. Her current operating role as Chief Strategy Officer for Data and AI at Cyera keeps her inside the AI security and governance debate that boards are now expected to lead. She holds 10 patents, has been named Forbes “AI Maverick of the 21st Century,” and has been recognised across multiple Top 100 AI and Top 50 Women in Tech rankings. The reason senior buyers keep coming back is simpler than the credentials: she has shipped this work, and she will tell a room what actually happens when you try. Key speaking topics Enterprise AI deployment and operating model AI governance, security, and responsible deployment Workforce redesign in the age of AI Data strategy and enterprise data readiness AI for boards and executive teams Post-AI organisational design Innovation discipline inside large enterprises Ideal for Boards and executive committees deciding how to own AI strategy and risk CDOs, CIOs, CTOs, and Chief AI Officers moving from pilots to enterprise deployment CHROs and transformation leads redesigning the workforce around AI capability CISOs and risk leaders building AI governance and security frameworks Audience outcomes A clearer view of where their AI programme actually sits on the path from pilot to enterprise deployment. A workable mental model for AI governance and security at board level, not a compliance checklist. A direct read on what the workforce conversation looks like once AI starts to land in operations. Specific deployment lessons drawn from named Fortune 100 environments, not abstract case studies. Confidence in deciding what to build, what to buy, and what to leave alone.

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.