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Why organisations work with James Hardy He has run growth on both sides of the platform divide, leading EMEA for Alibaba and now global retail at Flutterwave, so he can argue marketplace strategy from inside the operating model, not from a consultancy slide. He co-founded Avenue51, the platform that won the Queen’s Award for Enterprise in 2020 and The Guardian Start Up of the Year in 2016, which gives him founder credibility on selling Western brands into China. He frames e-commerce as ecosystem competition, not site optimisation, which reframes how boards think about platform dependency, payments infrastructure and customer data. He is one of the very few speakers who can speak with operator authority on Africa as a commercial market, via Flutterwave’s role as the continent’s largest fintech. Biography highlights Head of Global Retail & Market Development at Flutterwave, Africa’s largest fintech. Former Head of Europe, Middle East and Africa at Alibaba.com. Co-founder of Avenue51, the UK platform that helped Western brands enter China. Avenue51 won the Queen’s Award for Enterprise, International Trade, in 2020 and The Guardian Small Business Showcase Start Up of the Year in 2016. Named in the Financial Times Leap 100. MBA, Melbourne Business School; earlier career as a solicitor at Mishcon de Reya and Travers Smith, then General Counsel at Next 15, Bite Communications and Text 100. Biography Alibaba and Amazon are not the same business and never have been. One is a vertical operator that buys, stocks and ships. The other is a payments-and-data ecosystem that lets merchants sell. Hardy ran EMEA for Alibaba, and the distinction shapes how he advises Western brands on international growth. Before Alibaba, he co-founded Avenue51, the UK platform that helped European brands build market share in China through Tmall and the Alibaba marketplaces. Avenue51 won The Guardian Small Business Showcase Start Up of the Year in 2016, and the Queen’s Award for Enterprise, International Trade, in 2020. His Financial Times Leap 100 listing came out of that period. He now runs global retail and market development at Flutterwave, Africa’s largest fintech, which gives him a live operator’s view of where commerce, payments and platform competition are heading next. That perspective is rare on the speaker circuit. Most e-commerce speakers come from one platform, one geography, or one consultancy lens. Hardy has been an operator inside Alibaba, a founder selling Western brands into China, and is now building consumer and SME revenue across Africa. His earlier career was legal, with stints as a solicitor at Mishcon de Reya and Travers Smith and General Counsel roles at Next 15, Bite Communications and Text 100. That background shows up in how he handles questions on platform terms, data sovereignty and the contractual asymmetry between brands and marketplaces. Key speaking topics International e-commerce and retail globalisation Alibaba and Amazon: comparative platform strategy Marketplace and ecosystem business models China market entry for Western brands African commerce and fintech infrastructure Data-driven decision-making in commercial strategy Corporate innovation and startup operating models Ideal for CCOs, CMOs and heads of ecommerce planning for international or marketplace expansion Boards weighing platform dependency, marketplace risk and channel strategy Brand and retail leadership teams entering China, the Gulf or Africa Corporate innovation leads to working on ecosystem and platform plays Audience outcomes A clearer view of where Alibaba and Amazon are genuinely different, and what that means for marketplace strategy A working model for assessing platform dependency as a board-level risk Operator-level perspective on entering China and African markets without ceding the customer relationship Sharper questions for the leadership team on payments, data and ecosystem economics

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. Before INSEAD he was a Partner at Prophet, the brand and customer experience consultancy, after more than a decade in strategy consulting. That operating background plus a senior faculty role is a combination very few digital strategy speakers credibly hold. 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. Most AI and digital advice fixates on the technology. Niessing co-directs INSEAD’s Leading AI and Digital Marketing Strategy programme and leads instead with the question executive teams actually own: how do we turn AI and data investment into profitable growth? 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. Has delivered executive education and keynotes in more than 40 countries for over 200 global organisations. 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 strategy and transformation AI and data in marketing, brand and customer experience 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 John Ellis He ran Ford’s developer program and the team behind SmartDeviceLink. He has direct operating experience of building a connected-product platform inside a global manufacturer, not a consultant’s view of one. His central thesis, set out in The Zero Dollar Car, gives boards a sharp frame for a question most are still avoiding: when sensor data is worth more than the product that generates it, what business are we actually in? He works across automotive, insurance, smart home, mobile and public infrastructure. Leaders get a view of how the same data economics are restructuring multiple sectors at once, not a single-industry case study. Through Ellis & Associates he advises companies on the commercial reality of connected-product strategy. The keynote content is grounded in current client work, not retrospective career stories. Biography highlights Former Global Technologist and Head of the Ford Developer Program, Ford Motor Company Author, The Zero Dollar Car: How the Revolution in Big Data will Change Your Life (#1 Amazon Best Seller, Auto Industry) Founder and Managing Director, Ellis & Associates, management consultancy at the automotive, consumer, connectivity and software intersection Led the team that delivered SmartDeviceLink, the open-source platform now used by Toyota, Mazda, Subaru and others Prior senior leadership roles at Motorola across engineering, product management, software, services and strategy Featured on NBC’s TODAY Show on the future of connected vehicles and data Biography The cars on the road today produce more usable data per mile than the entire commercial internet did a decade ago. Most of that data still ends up captured by the manufacturer, the platform owner, or the insurer, rarely by the customer who generated it. That asymmetry is the operating question behind John Ellis’s work. As Global Technologist and Head of the Ford Developer Program, Ellis ran the team that delivered SmartDeviceLink, the open-source platform underneath Ford’s AppLink and now adopted by Toyota, Mazda and Subaru. He saw, from inside, how a global manufacturer turns a vehicle into a software platform and what that does to the economics of the product. His book The Zero Dollar Car takes that operating insight and pushes it to its logical end. If sensor data is valuable enough, the vehicle itself becomes a loss leader, financed by what it tells the world while it moves. The argument is now playing out across insurance, smart home, mobility infrastructure and public-space management, each sector that Ellis & Associates currently advises. What Ellis brings to a senior audience is the rare combination of having built one of the early connected-product platforms at scale and then translating that experience into a clear commercial argument that boards in any sector can apply to their own products. The Motorola years sit underneath: two decades inside a company that learned, expensively, what happens when a hardware business misreads a software shift. Key speaking topics Connected vehicles and the future of mobility Data monetisation and the economics of sensor data Business model disruption in hardware industries Software platforms inside traditional manufacturing Smart cities and public-space management Technology disruption across automotive, insurance and smart home Ideal for Boards and executive teams in automotive, mobility, insurance and infrastructure CTOs, CDOs and Chief Digital Officers in product and manufacturing businesses Heads of strategy and corporate development assessing platform and connected-product plays City, transport and public-sector leaders managing connected infrastructure decisions Audience outcomes A clear view of how value migrates from the connected product to the data it generates, and what that does to incumbent business models A working frame, drawn from The Zero Dollar Car, for assessing where their own products sit on that curve Concrete examples from automotive, insurance and public infrastructure of who is winning and losing the data argument A sharper question set for board and executive conversations on connected-product strategy

Why organisations work with Jonathan Reichental He has run the work he now speaks about. As CIO of the City of Palo Alto and CIO of O’Reilly Media, he owned budgets, projects and consequences, which is a different proposition to commenting on them from a research desk. The Palo Alto tenure produced a first-place category ranking in the Digital Cities Survey, a verifiable outcome rather than a claim of impact. His book catalogue, led by Smart Cities For Dummies with multiple follow-on titles across data governance, analytics and cryptocurrency, gives audiences accessible reference material they can share inside their own teams after the session. His adjunct teaching positions at UC Berkeley and the University of San Francisco, combined with LinkedIn Learning courses and a Forbes column, mean his explanations of emerging technology are built for non-specialist audiences without losing technical accuracy. He covers the breadth of the current executive agenda, quantum, AI, blockchain, smart cities, data governance, with the same pragmatic framing, which suits leadership audiences that need one session to cover multiple priorities. Biography highlights Founder and CEO of Human Future Former Chief Information Officer, City of Palo Alto, California; Palo Alto achieved first-place category ranking in the Digital Cities Survey during his tenure Former Chief Information Officer of O’Reilly Media; senior technology leadership at PricewaterhouseCoopers Adjunct professor at UC Berkeley and the University of San Francisco Author of Smart Cities For Dummies, Data Governance For Dummies, Data Analytics & Visualization All-in-One For Dummies and Cryptocurrency QuickStart Guide Forbes contributor; LinkedIn Learning course creator; recognised on CXOTalk’s 20 Influential CIOs list Biography Smart cities is one of the most hyped categories in public-sector technology and one of the hardest to deliver. Jonathan Reichental’s credibility starts with the fact that he did the delivery job. As Chief Information Officer of the City of Palo Alto, he led the technology work that produced a first-place category ranking in the Digital Cities Survey, on a public-sector budget and under the accountability that comes with it. The book that followed, Smart Cities For Dummies, is now one of the most widely used introductions to the field. His private-sector track record sits alongside. Earlier roles include CIO of O’Reilly Media and senior technology leadership at PricewaterhouseCoopers. The combination, public-sector, publishing-and-tech, and global consulting, is the reason his framing on digital transformation holds up in front of different audiences. He now runs Human Future, the advisory, investment and education firm he founded to focus on emerging technology strategy. The writing and teaching extend the same thesis. Alongside the smart cities titles, he has authored or co-authored Data Governance For Dummies, Data Analytics & Visualization All-in-One For Dummies, Cryptocurrency QuickStart Guide and The Apps Challenge Playbook, teaches as an adjunct professor at UC Berkeley and the University of San Francisco, contributes a column to Forbes and creates LinkedIn Learning courses. His recognition on CXOTalk’s 20 Influential CIOs list and Government Technology’s Top 25 Doers, Dreamers and Drivers places him inside the peer group his corporate and public-sector audiences consult anyway. For boards, city governments, utilities and enterprise CIOs trying to make real decisions about AI, quantum computing, blockchain and smart-infrastructure investment, Reichental brings the unusual combination of an operator’s record, a teacher’s clarity and a published author’s reference library. Key speaking topics Smart cities and digital government Emerging technology strategy (AI, quantum, blockchain) Data governance, analytics and the CIO agenda Public-sector technology leadership Digital transformation for enterprise and city organisations Ethics in technology leadership Ideal for CIOs, CDOs and chief transformation officers setting or refreshing digital strategy City governments, utilities and public-sector organisations running smart-city or digital-services programmes Executive committees and boards needing a single session to level-set on emerging technologies Technology conferences and industry summits requiring an author-led keynote with operator credentials Audience outcomes A structured view of which emerging technologies are production-ready, which are near-term, and which are further out Specific reference cases from Palo Alto and other smart-city programmes on what actually works in public-sector digital delivery A clearer executive framing of data governance, analytics and AI choices, grounded in the relevant For Dummies material Practical prompts for translating emerging-tech strategy into a 12- to 24-month roadmap A shareable reading list and follow-on LinkedIn Learning courses for leadership teams

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 Karun Chandhok He has lived inside two of the most exposed environments in elite sport: the cockpit of a backmarker F1 team trying to build a car around him, and a Sky Sports broadcast booth analysing the same paddock in real time. He sits on the Motorsport UK Board and the FIA Drivers’ Commission, so the governance, safety and DEI conversations he brings into the room are ones he is actively shaping, not commenting on from the outside. He translates how F1 teams turn millions of data points per race into decisive calls that engineers, strategists and a driver all act on within seconds, with examples a non-motorsport audience can follow. He is one of only two Indians ever to race in Formula One, which gives weight to his work on talent pipelines, representation and what it takes to break into a closed competitive system. He is a working broadcaster for a global audience, so the keynote is paced and structured for the room rather than delivered as a career retrospective. Biography highlights 11 Formula One Grand Prix starts for Hispania Racing in 2010 and Team Lotus in 2011. Sky Sports F1 analyst, co-commentator and pit-lane reporter, full-time since 2019. Board Director, Motorsport UK, and member of its Equality, Diversity and Inclusion Committee. Founding member of the FIA Drivers’ Commission since 2013, with further roles on the FIA Single Seater Commission and Driver Grading Committee. Williams Heritage driver since 2016, demonstrating the team’s championship-winning cars. Author of “Drive to Victory: Incredible True Stories from the Fastest Sport in the World”, Hachette Children’s, 2025. Biography A modern Formula One team is roughly a thousand engineers, strategists and operations staff who have to redesign their product every two weeks, inside a moving regulatory frame, while a driver they have never met executes the result on television. Karun Chandhok has been the driver in that picture, the analyst describing it for Sky Sports F1, and a director on the boards that write the rules around it. He raced 11 Grands Prix for Hispania Racing and Team Lotus, becoming the second Indian to compete in the championship. From there he moved into the FIA World Endurance Championship and five starts at the 24 Hours of Le Mans, then drove for Mahindra Racing in the inaugural Formula E season. The breadth matters: very few people have raced across the three categories actively reshaping motorsport’s relationship with technology, sustainability and global audiences. Since 2019 he has been part of the core Sky Sports F1 line-up as analyst, co-commentator and pit-lane reporter. The role is unusual because it sits between the engineers and the public; he has to read live telemetry, strategy calls and team radio quickly enough to explain them on air, and accurately enough that the paddock will keep talking to him next weekend. His governance work gives the keynote its third dimension. He has served on the FIA Drivers’ Commission since 2013 and joined the Motorsport UK board in 2021, where he sits on the Equality, Diversity and Inclusion Committee. Those seats are why his material on talent pipelines, safety reform and competitive integrity carries authority that most sports speakers cannot match. Key speaking topics Decision-making in high-pressure performance environments Leadership and team coordination in elite motorsport Data, technology and human judgement in Formula One Safety, governance and regulatory change Diversity, inclusion and talent pipelines in closed competitive systems Continuous transformation under external pressure Global sport as a commercial and operational system Ideal for Executive teams and boards working through sustained operational or regulatory change. CHROs, DEI leads and talent functions building pipelines into historically closed industries. Engineering, technology and data leadership audiences interested in how F1 turns data into action. Sales conferences and client events where a credible, broadcast-quality headline speaker is needed. Audience outcomes A clearer view of how elite teams sustain judgement and coordination when conditions keep shifting. A working sense of how F1 organisations turn data and technology into faster human decisions. Specific examples of how regulation, safety and competitive performance trade against each other inside a sport. A more honest picture of what genuine inclusion looks like in a sector that historically locked talent out.

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 Les Binet The 60:40 brand-to-activation framework he co-developed with Peter Field is the most cited effectiveness benchmark in UK marketing strategy. Organisations use it to build a defensible, evidence-based case for long-term brand investment to boards focused on quarterly ROI. His analysis of the IPA Effectiveness Databank covers more than 1,000 case studies across 700 brands, 83 sectors and over three decades of commercial data. No comparable longitudinal evidence base for marketing investment decisions exists in published form. The Share of Search metric he developed gives organisations a free, predictive tool for tracking brand health and anticipating market share movements, validated across automotive, energy and handset categories using publicly available Google Trends data. Research he presented at the 2025 IPA Effectiveness Conference showed that marketing budget is eight times more important than ROI in driving effectiveness. Most CMOs surveyed believed the opposite – a gap his work directly addresses. His grounding in Physics, Artificial Intelligence research and LSE econometrics makes him one of the few voices in effectiveness who can construct, interrogate and critique the statistical models organisations use to evaluate their own campaigns. Biography highlights Co-author of The Long and the Short of It (IPA, 2013) and four further IPA effectiveness reports; has contributed to more IPA Effectiveness Awards papers than any other individual (per the Advertising Association) Former Group Head of Effectiveness at adam&eveDDB; joined BMP account planning in 1987 and remained across all iterations of the agency for more than three decades Recipient of the IPA President’s Medal (2014), the highest honour the UK advertising industry can award Elected IPA Honorary Fellow (2004); Convener of Judges, IPA Effectiveness Awards (2005) Board Advisor, Journal of Advertising Research; named in Campaign Magazine’s “40 over 40” (2023) MA Physics, Oxford; MPhil Artificial Intelligence, Edinburgh; postgraduate Economics (Birkbeck) and Econometrics (LSE) Biography The Long and the Short of It, published by the IPA in 2013, is one of the most-cited effectiveness documents in marketing. Its co-author, Les Binet, spent three decades at adam&eveDDB building the evidence that most organisations structure their marketing investment around the wrong metrics. The research drew on 996 advertising effectiveness case studies across 700 brands, 83 sectors and more than 30 years of IPA Databank data. Its central finding of the “60:40 heuristic” recommended that most consumer brands allocate roughly 60% of marketing budget to brand building and 40% to short-term activation. The report has since been cited in over 70 academic publications and referenced across multiple languages. Binet’s subsequent work has continued to extend the evidence base. The Share of Search metric he developed gives organisations a free, predictive tool for tracking brand health using Google Trends data, validated across automotive, energy and handset categories. At the 2025 IPA Effectiveness Conference, he presented research with Medialab showing that budget is eight times more important than ROI in driving marketing effectiveness. Most CMOs surveyed believed the opposite. He read Physics at Oxford and completed an MPhil in Artificial Intelligence at Edinburgh, later adding postgraduate study in Economics at Birkbeck and Econometrics at the LSE. Elected an IPA Honorary Fellow in 2004, he received the IPA President’s Medal in 2014. He serves as a Board Advisor to the Journal of Advertising Research and consults independently through Binet Consulting. Key speaking topics Marketing effectiveness measurement Brand building versus short-term activation The 60:40 investment framework Share of Search and brand demand indicators Econometrics and advertising evaluation Media effectiveness in digital environments Evidence-based marketing investment strategy Ideal for CMOs and senior marketing leaders making significant media and brand investment decisions CFOs and finance functions reviewing marketing accountability and budget allocation Boards and executive teams evaluating the commercial return on advertising investment Strategy, planning and insight functions in organisations with major advertising spend Audience outcomes A clear, evidence-grounded framework for distinguishing short-term ROI from long-term profit growth, and why the difference matters to boards Practical understanding of the 60:40 brand-to-activation heuristic and how to adapt it by sector, brand maturity and business context A working introduction to Share of Search as a predictive brand health indicator, applicable without specialist tools or budget A stronger internal case for protecting brand investment in organisations under pressure to demonstrate immediate measurable returns Familiarity with the specific effectiveness patterns – reach, share of voice, emotional advertising – that the IPA data consistently identifies as drivers of commercial results

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 Mara Balestrini Her governance frameworks are not conceptual – the Bristol Approach and the City Commons Framework (published at ACM CHI 2017) were developed with real institutions, in real urban systems, and have influenced urban data policy beyond their original contexts. Organisations get tested models, not white papers. She has operated at the level of national AI policy, serving as cabinet advisor to Spain’s Secretary of State for Digitalization and AI. That gives her a direct, non-theoretical understanding of how regulatory and governance frameworks are made – and where they typically fall short. Her tenure leading digital transformation and responsible AI at IDB Lab, including the fAIr LAC+ initiative, means she has applied these frameworks inside a multilateral institution managing large-scale technology programmes across 23 countries. The challenges she addresses are not hypothetical. Her research sits at the intersection of HCI, IoT, and responsible AI governance – cited over 1,500 times and recognised by ACM CHI, ACM CSCW, and Ars Electronica. That academic grounding gives organisations the analytical vocabulary to move from AI deployment to AI accountability. As co-founder of SalusCoop, the first Spanish cooperative for citizens’ health data, she has demonstrated that the data governance models she advocates are viable as operating organisations, not just policy positions. Biography highlights PhD in Computer Science, Intel Collaborative Research Institute on Sustainable Connected Cities (ICRI-Cities), University College London Former CTO and Digital Transformation Lead, IDB Lab (Inter-American Development Bank Innovation Laboratory); contributor to fAIr LAC+, a dedicated initiative on responsible AI adoption across Latin America and the Caribbean Currently CEO of LNET, the global blockchain infrastructure nonprofit and executing agency for IDB Lab, operating across 23 countries Former cabinet advisor to Spain’s Secretary of State for Digitalization and Artificial Intelligence Former CEO and Partner, Ideas for Change; originator of the City Commons Framework (ACM CHI 2017) and co-developer of the Bristol Approach with Bristol City Council Co-founder, SalusCoop, the first Spanish cooperative for citizens’ health data Over 30 academic publications; 1,584+ citations on Google Scholar; awards from ACM CHI, ACM CSCW, and Ars Electronica Covered by BBC, The Guardian, the Financial Times, and El País; TEDx speaker (TEDxCordoba, 2018); Research Fellow, ESADE EsadeGov Center for Public Governance Biography Mara Balestrini’s core argument is that AI and digital transformation strategies fail not because the technology is wrong, but because the governance is built after the fact, not before. From European Commission-funded research to Spain’s national AI policy office to the Inter-American Development Bank, she has spent two decades building the frameworks to reverse that sequence. Her doctoral work at UCL’s Intel Collaborative Research Institute on Sustainable Connected Cities produced the City Commons Framework, published at ACM CHI 2017 – a model for embedding citizen governance into data-driven systems from the design stage. She co-developed the Bristol Approach with Bristol City Council and KWMC, a commons-based methodology for participatory sensing that reframes smart city investment around citizen priorities rather than technical capability. She also coordinated Making Sense, a European Commission H2020-funded project that turned community-owned environmental sensors into a platform for civic action at scale. From that research base she moved into national policy, serving as cabinet advisor to Spain’s Secretary of State for Digitalization and AI – one of the few HCI researchers to have held a position at that level of government. She then took the role of CTO and Digital Transformation Lead at IDB Lab, where she contributed to fAIr LAC+, the Inter-American Development Bank’s initiative on responsible AI adoption across Latin America and the Caribbean. She is currently CEO of LNET, the global blockchain infrastructure nonprofit that evolved from LACChain and now connects governments, multilateral organisations, and the private sector across 23 countries. Her research, cited over 1,500 times, spans HCI, IoT, and responsible AI governance. It has been recognised by ACM CHI, ACM CSCW, and Ars Electronica, and covered by the BBC, the Financial Times, The Guardian, and El País. Key speaking topics Responsible AI governance and institutional accountability Digital transformation strategy for public and civic institutions Civic technology and citizen participation in technology design Smart cities and urban data governance Data rights and cooperative data models Emerging technology governance (blockchain, Web3) for institutions AI policy and regulation from a practitioner perspective Ideal for Chief Digital Officers and Chief Data Officers navigating AI governance, data strategy, and responsible technology deployment Public sector executives and government leads managing AI policy, digital transformation, or regulatory frameworks Boards and senior leadership teams weighing institutional accountability in large-scale AI or data programmes Transformation leads and innovation directors in multilateral organisations, development banks, or international institutions Audience outcomes A working distinction between AI deployment and AI governance, and why confusing the two produces predictable failures at scale Familiarity with tested, named governance frameworks (Bristol Approach, City Commons Framework, fAIr LAC+) that can be adapted beyond urban or government contexts A clearer understanding of where current AI and digital transformation strategies most commonly break down, and what designing governance in from the start actually looks like in practice An informed view of how national AI policy is being shaped, drawn from direct government advisory experience rather than secondary analysis Practical reference points for designing responsible AI strategies that are accountable to stakeholders before they are deployed, not after

Why organisations work with Mike Saunders His HumanCentric framework forces transformation teams to test technology decisions against the people who will or will not adopt them, which changes how budgets get allocated. He runs the agency he speaks from. Digitlab has delivered digital work for Vodafone, IBM, Toyota, KPMG and Bidvest, so the room hears practice from a live operator. He brings an emerging-market lens that most digital strategy speakers do not carry, drawn from running an agency in South Africa with delivery into the UK, Europe, US, Australia and Dubai. His Gear Analogy, developed for his TEDx Durban talk, gives leadership teams a working method for picking which ideas deserve real investment and which to drop. He pairs published frameworks with original sector research, including Digitlab’s annual Insight: State of Digital report on where customer behaviour, AI and martech are moving. Biography highlights CEO and Founder of Digitlab, a digital strategy agency with clients spanning South Africa, the UK, Europe, the US, Australia and Dubai. Author of HumanCentric: Technology Fails Unless It Means Something to Someone, which sets out a four-part model (explore, ideate, intersect, create) for human-centred digital transformation. TEDx Durban speaker on Gearing for Greatness: Your Ideas, Your Impact, introducing the Gear Analogy for idea evaluation and execution. Opening chapter author in Doers & Dreamers, a global business compendium also featuring Seth Godin, Tim Ferriss and Brian Chesky. Founder of the Digitlab Academy in partnership with Vega School of Branding, training over 1,000 marketers a year. Awarded Special Honours at the New Generation Awards for contribution to the digital industry; named among “Top Global Digital Marketing Experts & Influencers” (2019). Biography Most digital transformation programmes still get sold to boards as technology projects. The investment lands and the adoption that was supposed to follow does not. The gap is where commercial returns disappear. This is the gap that Saunders has spent more than fifteen years working in. As CEO of Digitlab, the South African agency he founded, he has run digital programmes for Vodafone, IBM, Toyota, KPMG and Bidvest. He argues that technology fails unless it means something to someone, and that digital is a people conversation that happens to run on technology. His book HumanCentric: Technology Fails Unless It Means Something to Someone sets out the four-part model he uses with clients: explore, ideate, intersect, create. Each phase forces a transformation team to test technology decisions against the human stakeholders who will or will not adopt them. It functions as a working framework, and it shows up in his keynote work as practical structure for leadership audiences. His TEDx Durban talk Gearing for Greatness introduced the Gear Analogy, a tool for evaluating which ideas to back and which to drop. He contributed the opening chapter of Doers & Dreamers, the global business book that also features Seth Godin, Tim Ferriss and Brian Chesky. Each year, Digitlab publishes its Insight: State of Digital report mapping where customer behaviour, AI, search and martech are actually moving. Key speaking topics Human-centred digital transformation Customer experience and digital strategy AI and data-driven marketing Marketing technology and innovation Digital consumer behaviour The Fourth Industrial Revolution in business Ideal for CMOs and digital marketing leaders running transformation or martech programmes CEOs and CDOs are accountable for digital strategy and adoption outcomes Boards and executive teams setting commercial AI and data direction Marketing, sales and IT leadership teams are trying to align around shared revenue outcomes Audience outcomes A working framework for testing digital decisions against the real people who will or will not adopt them A method for separating ideas worth backing from ideas worth abandoning, drawn from the Gear Analogy Specific signals on what is shifting in customer behaviour, AI, search and martech, drawn from Digitlab’s annual State of Digital research A view of how marketing, sales and IT teams should align around a single revenue model

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