Inteligência Artificial e IA Generativa

Why organisations work with Elaine Kasket She is one of the few cyberpsychologists in Europe who is also a clinically trained, HCPC-registered counselling psychologist, which means her advice on digital wellbeing is grounded in clinical practice, not commentary. Her work covers technology across the full lifespan, from “sharenting” to digital afterlife, which gives leaders a coherent framework for thinking about the employee, the customer, and the citizen as the same person. She wrote the definitive trade book on digital death and digital legacy, All the Ghosts in the Machine, and now leads on the psychology of AI companions and grief bots, an area few executive audiences have heard explained well. She has consulted to organisations including Netflix, Santander, Deloitte, the NHS and Hill & Knowlton Strategies, so the work translates from research into board-level conversations about AI, attention and surveillance. Her newest book, Reset, gives leadership teams a practical vocabulary for agency over technology rather than the usual digital detox framing, which most senior buyers find too thin for adult professional audiences. Biography highlights BPS-Chartered Psychologist and HCPC-Registered Counselling Psychologist; Associate Fellow of the British Psychological Society Visiting Professor at the Centre for Death and Society, University of Bath; formerly Honorary Professor of Psychology at the University of Wolverhampton Author of Reset: Rethinking Your Digital World for a Happier Life (Elliott & Thompson, 2024) and All the Ghosts in the Machine (Robinson, 2019) TEDx Oxford speaker; featured expert in the Netflix documentary The Future Of: Life After Death Regular contributor to BBC Radio 4 Woman’s Hour, CNN, BBC Ideas, The Guardian, New Scientist, Psychology Today and Stylist Keynote engagements include Santander, Deloitte, the NHS, Royal Society of Medicine, Congreso Futuro, re:publica and the International Baccalaureate global conference Biography Most organisations talk about digital wellbeing in the language of the wellness industry: detoxes, screen-time apps, mindful breathing. The actual psychological problem is structural. Attention is being extracted, identity is being recorded, and the costs are showing up in engagement, retention and clinical mental health caseloads. That gap between the corporate vocabulary and the clinical reality is the space Elaine Kasket works in. She trained as a counselling psychologist before cyberpsychology was a discipline, and is registered with the HCPC alongside her chartered psychologist status with the British Psychological Society. That clinical grounding is what separates her commentary from the commentary economy around technology. She led the Doctorate in Counselling Psychology at Regent’s University London, was Honorary Professor of Psychology at the University of Wolverhampton for five years, and is now Visiting Professor at the Centre for Death and Society at the University of Bath. Her first trade book, All the Ghosts in the Machine (Robinson, 2019), opened a serious public conversation about digital legacy: what happens to your data, your accounts and your image when you die, and what that means for the people who outlive you. Reset: Rethinking Your Digital World for a Happier Life (Elliott & Thompson, 2024) extends the argument across the full lifespan, from “digital gestation” and sharenting to surveillance, AI relationships and the digital afterlife. For leadership audiences, she connects four conversations executives often run as separate problems: employee mental health, AI adoption, brand trust and data governance. Her recent keynotes for Santander, Deloitte, the NHS, the Royal Society of Medicine and Congreso Futuro have moved leaders away from “digital detox” framing and toward agency, the design question of how a workforce uses AI without losing the cognitive and relational ground organisations actually run on. Key speaking topics Cyberpsychology and digital wellbeing Psychology of AI adoption at work AI companions, grief bots and the future of human connection Digital legacy, data privacy and digital afterlife Attention, surveillance and the extractive attention economy Technology across the lifespan, from sharenting to digital afterlives Ideal for CHROs and Chief People Officers designing wellbeing, engagement and AI-readiness programmes Chief AI Officers and transformation leads embedding AI into employee experience and customer-facing tools Brand, marketing and communications leadership teams working on trust, privacy and AI narratives Boards and risk committees considering the human and reputational dimensions of data, surveillance and AI Audience outcomes A clinically grounded read on what technology is actually doing to attention, identity and relationships at work A vocabulary for talking about digital wellbeing that holds up in front of clinicians, regulators and senior employees A clearer view of where AI companions, grief bots and synthetic relationships intersect with workforce mental health and brand risk A practical sense of what individual and organisational agency look like in an extractive attention economy A framework that connects digital legacy, data governance and employee trust as one coherent leadership question

Why organisations work with Hubertus Porschen He speaks to mid-market boards from inside the same world. As the elected federal chairman of Die Jungen Unternehmer from 2015 to 2018, he represented Germany’s young Mittelstand owners directly to policymakers and to ASU/Die Familienunternehmer. He has built and run digital businesses, not just advised on them. App-Arena and iConsultants give him a working vocabulary for what actually breaks when a traditional company tries to digitise a business model. His book Digitaler Suizid frames digital inertia as an existential risk to German firms, an argument that lands with audiences who have heard the optimistic version too often. He works in German and English with equal credibility, which matters for groups whose senior leadership sits across DACH and the wider European market. Biography highlights Federal Chairman, Die Jungen Unternehmer (BJU), 2015 to 2018, the young-entrepreneurs body within the ASU/Die Familienunternehmer association. Doctorate in economics, University of Marburg, with a dissertation on the academic entrepreneur. Author of Digitaler Suizid, on the digitalisation gap in the German economy. Founder and operator of multiple digital ventures including App-Arena GmbH; partner at iConsultants GmbH. Lecturer at Niederrhein University of Applied Sciences and the University of Cologne. Listed in Top 100 Speakers Excellence 2026 by Speakers Excellence. Biography The German Mittelstand is one of the most successful industrial structures in Europe. It is also one of the slowest to absorb new technology. That tension defines the working subject matter of Hubertus Porschen. He spent three years, from 2015 to 2018, as federal chairman of Die Jungen Unternehmer, the young-entrepreneurs wing of the ASU/Die Familienunternehmer association. The role put him in regular contact with policymakers in Berlin and with several thousand owner-managers running mid-sized German firms. The work that followed, as a speaker and as a founder, builds directly on that constituency. His operating experience is the second pillar. App-Arena, an online marketplace for social media applications, and iConsultants, a digital advisory practice, gave him direct exposure to the gap between digital strategy decks and the messy reality of changing how a 150-person company actually works. His book Digitaler Suizid develops the argument: German firms that treat digitisation as a marketing project rather than an operating one are quietly removing themselves from their own future. Today his keynote work concentrates on artificial intelligence: specifically the question of how a board moves from “AI-interested” to “AI-ready” without paralysing the operating business in the process. He lectures at Niederrhein University of Applied Sciences and the University of Cologne, holds a doctorate from the University of Marburg, and is listed in Speakers Excellence’s Top 100 for 2026. Key speaking topics Artificial intelligence in mid-market operations Digital transformation in family-owned and Mittelstand businesses Entrepreneurship and founder leadership Innovation and disruption in traditional industries Change management across generational workforces Digital business model design Ideal for Boards and executive teams of family-owned and Mittelstand firms in DACH CEOs, COOs and digital leaders confronting an AI adoption gap Industry associations and chambers of commerce convening member firms Founder networks and entrepreneurship programmes in German-speaking markets Audience outcomes A clearer sense of where their organisation sits on the line between AI-interested and AI-ready A working argument for why digital inertia is a strategic, not operational, risk Specific examples of how German mid-market companies have moved digital initiatives out of pilot Vocabulary to talk to a sceptical board about AI without leaning on vendor language

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 Dr. Mark T. Hofmann He has conducted anonymous, scientific interviews with active hackers and uncaught criminals on the darknet, so the attacker psychology in his keynotes is field-sourced, not theorised from headlines. His doctoral research at the University of Tubingen on psychopathy, narcissism, and Machiavellianism in hackers gives security and risk leaders a behavioural model for who is targeting them and why. He translates profiling and interrogation methods, the same toolkit used in serious crime work, into practical reading-people skills for negotiation, fraud detection, and executive due diligence. He has been certified as a Crime and Intelligence Analyst by the California Department of Justice and is regularly briefed on by international media including CNN, CBS, Forbes, and 60 Minutes Australia, which gives a buyer confidence the substance survives outside a stage. He covers the dark side of AI, deepfakes, voice cloning, and AI-assisted social engineering, with material that has been pressure-tested against actual perpetrator behaviour rather than vendor marketing. Biography highlights Master of Arts in Industrial and Organizational Psychology, University of Wuppertal. Doctoral candidate at the University of Tubingen, researching dark personality traits among hackers. Certified Crime and Intelligence Analyst, California Department of Justice, 2019. TED speaker, “Profiling Hackers: The Psychology of Cybercrime”. Featured on CNN, CBS, ARD, RTL, Forbes, Business Insider, and 60 Minutes Australia. Lecturer in Behavioral and Cyber Psychology and consultant for Management Circle AG. Biography Most cyberattacks do not begin with code. They begin with a person, a moment of trust, and a message that looked legitimate. The attacker’s craft is psychological before it is technical, and that is the layer most security programmes underinvest in. Dr. Mark T. Hofmann works on that layer for a living. A business psychologist trained at the University of Wuppertal and a Certified Crime and Intelligence Analyst credentialed by the California Department of Justice, he conducts anonymous, scientific interviews with active hackers and uncaught criminals to understand motive, method, and the soft signals that make a target. His doctoral work at the University of Tubingen examines psychopathy, narcissism, and Machiavellianism among hackers, which gives his stage material a research backbone rather than a headline one. That fieldwork translates directly into the questions a CISO, a CEO, or a head of fraud is wrestling with. How do attackers select targets inside a finance team? What does a deepfake voice request actually exploit in the listener? Why do executives keep authorising wires they should have queried? Hofmann answers those questions with case material drawn from people who do this for a living and were willing to talk. His reach extends beyond security. He teaches profiling and interrogation methods as a practical skillset for negotiation, fraud interviewing, and high-stakes meetings, the same techniques applied to commercial situations. He has been featured on CNN, CBS, Forbes, ARD, RTL, Business Insider, and 60 Minutes Australia, and has delivered a TED talk on profiling hackers. The combination is unusual: a keynote speaker whose primary research subject is the person on the other side of the attack. Key speaking topics Cyber profiling and the psychology of cybercrime Social engineering and the human firewall The dark side of AI, deepfakes, and synthetic identity Profiling in negotiation and high-stakes meetings Reading people, body language, and behavioural signals White-collar crime, psychopathy, and narcissism in organisations Ideal for CISOs, heads of information security, and cyber risk leaders rebuilding the human layer of their defence. CFOs, heads of treasury, and fraud teams exposed to deepfake-driven payment and impersonation attacks. Boards and executive committees that need a non-technical briefing on AI-enabled threat actors. Negotiation, M&A, and procurement leaders who want a practical toolkit for reading counterparties. Audience outcomes A working mental model of who is attacking the organisation, what motivates them, and how they choose targets. Specific behavioural cues that distinguish a manipulative request from a legitimate one in email, voice, and video. A clear view of where deepfakes and AI-generated content are already changing fraud and impersonation risk. Practical profiling and questioning techniques that can be applied in negotiation and internal investigation. A sharper read on dark-personality traits inside leadership pipelines and counterparties.

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

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

Why organisations work with Dr Stephanie Hare Technology Is Not Neutral, named a Financial Times Best Technology Book of summer 2022, gives her a published framework her audiences can read before and after the session, which lifts her work out of conference-keynote territory. Her career covers the three sides of technology decision-making that most speakers can only address from one: operator (Accenture, Palantir), analyst (Oxford Analytica, Accenture Research) and researcher (LSE PhD, St Antony’s Oxford). That combination is unusually hard to replicate. She is a recognised BBC contributor, selected for the BBC Expert Women programme, with regular appearances on BBC World Television and BBC World Service, which makes her a known quantity to executive audiences used to seeing her comment on the same issues they are deciding. Her published writing in the Financial Times, Washington Post, Guardian, Harvard Business Review and WIRED gives clients a body of work they can share internally when briefing a session. The institutional client list, including KPMG, IKEA, LEGO, BAE Systems, CERN, the Royal Society and the Alan Turing Institute, signals that she operates comfortably across corporate, scientific and public-sector audiences. Biography highlights Author of Technology Is Not Neutral: A Short Guide to Technology Ethics (London Publishing Partnership), FT Best Technology Books of summer 2022 Co-presenter of Artificial Intelligence: Decoded on BBC television and contributor to the BBC World Service programme Business Matters Writing in the Financial Times, The Washington Post, the Guardian/Observer, Harvard Business Review, WIRED and Computer Weekly; selected for the BBC Expert Women programme and the Foreign Policy Interrupted fellowship PhD and MSc from the London School of Economics; BA University of Illinois at Urbana-Champaign; study at the Sorbonne Alistair Horne Visiting Fellow at St Antony’s College, Oxford Former Principal Director at Accenture Research; strategist at Palantir; senior Western Europe analyst at Oxford Analytica Biography Technology ethics is one of the few senior-leadership topics where the question is harder than the answer sounds, and Stephanie Hare has spent her career working on that gap. Technology Is Not Neutral, her book published by London Publishing Partnership, was named a Financial Times Best Technology Book of summer 2022 and has become a widely referenced practitioner text on how to think about the ethical consequences of AI, biometrics, surveillance and the platforms embedded in modern business operations. Her route to the argument is unusual. She holds a PhD and MSc from the London School of Economics, a BA from the University of Illinois at Urbana-Champaign with a year at the Sorbonne, and held the Alistair Horne Visiting Fellowship at St Antony’s College, Oxford. Her operator record covers Accenture, Palantir and Oxford Analytica, where she was a senior Western Europe analyst, before her current position as an independent researcher and broadcaster. That combination, academic, operator, analyst, gives her the register of each of the three rooms a technology ethics conversation usually has to run through. The media presence is specific. She is a regular contributor to BBC World Television and BBC World Service, was selected for the BBC Expert Women programme and for the Foreign Policy Interrupted fellowship. Her bylines run across the Financial Times, The Washington Post, The Guardian, the Observer, Harvard Business Review and WIRED, which means corporate audiences often recognise the voice before they meet her. The advisory and speaking work sits across the organisations her argument is most relevant to: KPMG, IKEA, LEGO, BAE Systems, CERN, the Royal Society and the Alan Turing Institute. For boards, chief AI officers, chief technology officers and general counsel working through AI governance, biometric deployment and data strategy, Hare is one of the few commentators who can hold the ethics, the technology and the political risk in the same session. Key speaking topics Technology ethics and responsible AI AI governance and regulation Biometrics, surveillance and data strategy Political risk in technology and digital infrastructure Cybersecurity and emerging technology Climate action and the ethics of technology Ideal for Boards, chief AI officers and CTOs making defensible decisions on AI, biometrics and data General counsel, chief risk officers and compliance leaders facing accelerating AI and technology regulation Technology and advisory firms looking for a senior externally credible voice on ethics and governance Scientific institutions, research organisations and public-sector bodies running complex technology-ethics briefs Audience outcomes A working framework, drawn from Technology Is Not Neutral, for making and defending technology-ethics decisions A clearer view of where AI regulation and political risk are moving and how that should shape operating choices Reference material from the book and Hare’s published writing for teams to use internally after the session Cross-sector case examples drawn from her consulting work with KPMG, IKEA, LEGO, BAE Systems and the Alan Turing Institute

Why organisations work with Dror Gill Coaches leadership teams through the practical decisions of generative AI adoption: tool selection across ChatGPT, Copilot, Gemini, and Claude, prompt design, hallucination control, and workflow redesign for real business processes. Brings engineering credibility most generative AI speakers cannot match: 37 granted patents, a 2021 Technology and Engineering Emmy for perceptual video encoding at Beamr, and three decades inside companies shipping production technology. Runs hands-on workshops, not lecture sets. Executives leave with prompts, chatbots, and analyses they built themselves during the session. Demonstrates what is possible at the frontier with live builds, including a signature session in which he creates a startup from scratch using ChatGPT alone, covering ideation, business model, investor deck, and go-to-market. Updates his material continuously. The pace of model and tooling change makes most static keynote decks stale within months; he rebuilds against the current state of the field. Biography highlights 2021 Technology and Engineering Emmy Award (National Academy of Television Arts and Sciences) for content-adaptive video encoding at Beamr. Co-inventor on 37 granted patents in video and image processing. First employee and long-serving CTO, VP Product, and VP Marketing at Beamr (NASDAQ: BMR). IBM Research Lab in the mid-1990s, pioneering media streaming and voice-over-IP, including collaboration with Sun Microsystems on the Java Media Framework. Founder of Gamdala, a generative AI consultancy advising executives on adoption, prompt engineering, and workflow integration. B.Sc. Electrical Engineering, Technion – Israel Institute of Technology. Speaking engagements at DLD Munich, AI Global Summit Italy, IBM, Samsung, Microsoft for Startups, and Amdocs. Biography The current generative AI conversation inside most companies sits between two failure modes. Either the technology is treated as a productivity gimmick to be tolerated, or it is over-promised as a strategy in itself. Neither produces operating advantage. The work of turning general-purpose models into specific, repeatable improvements in how a business actually functions sits in between. That work needs someone fluent in both the underlying technology and the practical question of what executives can do on Monday. Dror Gill is that profile. He spent three decades inside companies shipping production technology, most recently as the long-serving CTO of Beamr (NASDAQ: BMR), where he led the development of the perceptual video encoding technology that won the 2021 Technology and Engineering Emmy. He is a co-inventor on 37 granted patents. Earlier, he was at IBM Research in the mid-1990s pioneering streaming over IP and voice-over-IP, and at Emblaze Semiconductor chairing the Wireless Multimedia Forum. Today he runs Gamdala, a generative AI consultancy. The shift is consistent: he is again working at the frontier of a general-purpose technology, only now the audience is executives rather than engineers. His sessions are workshop-led. Participants leave having built prompts, chatbots, and analyses themselves. His signature live build creates a startup from scratch using ChatGPT alone, covering ideation, business model, investor deck, and go-to-market inside a single session. What makes his keynote work uncommon is the engineering pedigree behind the executive coaching. He has shipped the kind of technology he now teaches leaders to deploy. The Technion degree, the Emmy, and the patent record are not credentials worn for show. They are the reason the operating advice translates. Key speaking topics Generative AI adoption for executives Prompt engineering and hallucination control ChatGPT, Copilot, Gemini, and Claude in business workflows Generative AI for product, marketing, and operations AI in education and corporate learning Live demonstrations of generative AI for business creation Workflow redesign around large language models Ideal for CEOs, COOs, and executive committees seeking to move generative AI from pilots to operating use. CHROs and learning and development leaders designing AI fluency programmes for senior managers. Product and engineering leadership teams evaluating where to embed generative AI in customer-facing and internal workflows. Founders, investors, and innovation teams who want a working understanding of the current state of the tools, not last year’s. Audience outcomes A clearer view of which generative AI tools fit which business problems, and where each one breaks. Practical prompt patterns participants use in their own work the same week. A working sense of how to control hallucination, including chain-of-thought prompting and verification techniques. Awareness of what is now possible end-to-end with generative AI, demonstrated live rather than described in slides. Confidence to lead an organisational conversation on generative AI adoption without needing a translator.

Why organisations work with Edvard Moser He gives an audience the rarest credential in the field, a Nobel Prize in medicine, attached to a discovery they can picture in one image: the brain runs an internal positioning system, built from grid cells he and May-Britt Moser identified in 2005. When DeepMind trained a neural network to navigate, it spontaneously reproduced the grid cells he discovered. That makes him a credible voice on the question every leadership team now faces: how close are machines to the way real intelligence actually works? His lab is still publishing frontier results, including a 2025 paper in Science on how the brain carves a continuous stream of experience into separate memories. A decade after the prize, the work is still moving. The brain circuits he mapped, in the entorhinal cortex, are the first to break down in Alzheimer’s disease. For audiences in health, pharma, and longevity, his work sits at the origin of one of medicine’s hardest problems. Biography highlights Shared the 2014 Nobel Prize in Physiology or Medicine, with May-Britt Moser and John O’Keefe, for discovering the brain’s positioning system. Discovered grid cells in the medial entorhinal cortex in 2005, the finding that defined the prize. Founding Director of the Kavli Institute for Systems Neuroscience at NTNU, and co-founder of four Norwegian Centres of Excellence. Foreign member of the Royal Society, and of the US National Academy of Sciences and the National Academy of Medicine. His discovery was independently echoed by AI: a DeepMind network trained to navigate reproduced grid-like representations, published in Nature in 2018. His lab continues to publish in Science and Nature, with a 2025 paper on how the brain organises memory. Biography In 2018, a neural network built at DeepMind taught itself to find its way through a virtual space. No one had told it how. To solve the problem, it spontaneously produced the same hexagonal firing patterns that Edvard Moser had found in the brains of rats thirteen years earlier. The machine had reinvented the grid cell. Those grid cells are the reason Moser shared the 2014 Nobel Prize in Physiology or Medicine. Working with May-Britt Moser, he identified neurons in the entorhinal cortex that fire in a regular grid as an animal moves, giving the brain an internal coordinate system. Together with the place cells found earlier by John O’Keefe, they form what is often called the brain’s GPS. The discovery opened a wider programme. Moser’s lab at the Kavli Institute for Systems Neuroscience, which he founded and directs at NTNU, now studies how the brain encodes space, time, and memory together. A 2025 paper in Science showed how it slices a continuous stream of experience into discrete events we can later recall. The same entorhinal circuits are the first to fail in Alzheimer’s disease, which gives the work a direct line to one of medicine’s hardest problems. Moser’s path was not the obvious one. He grew up on the west coast of Norway, took a first degree in psychology, and built his research from a standing start at a young university in Trondheim. From there he founded four national Centres of Excellence, the Kavli Institute among them, and was elected a foreign member of the Royal Society and the US National Academies of Sciences and Medicine. The brain is still the only system that has produced general intelligence, and he works on the actual cells that do it. Key speaking topics The brain’s positioning system Memory and how it forms Biological and artificial intelligence The neuroscience of space and time Grid cells and spatial navigation The brain in health and in Alzheimer’s disease The path to a Nobel Prize Ideal for AI, data science, and R&D teams curious about the biological intelligence their models are reaching toward Healthcare, pharmaceutical, and longevity organisations working on memory, ageing, and Alzheimer’s Innovation and technology audiences interested in how the brain’s intelligence compares with the artificial kind Flagship conferences and leadership summits seeking a Nobel laureate a non-specialist audience can follow Audience outcomes A clear, jargon-free picture of how the brain represents space, time, and memory A grounded sense of how far artificial intelligence still sits from biological intelligence, and where the two genuinely meet Why Alzheimer’s disease takes hold in the brain’s navigation circuits, decades before the first symptoms A first-hand account of how a Nobel-winning discovery actually unfolded

Why organisations work with Nell Watson She works at the technical standards layer. As Vice Chair of IEEE P7001 on Transparency of Autonomous Systems, she helps leaders understand what credible AI governance actually contains, not what it sounds like. She runs the policy interface in Europe. As President of the European Responsible AI Office (EURAIO), she has direct sightlines into how regulation will land on regulated industries. Her book Taming the Machine (Kogan Page) won Choice Reviews Outstanding Academic Title in 2025 and the Goody Business Book Award in 2024, giving boards a credible reference document, not a popular-press summary. She has built original research that names AI failure modes. Her Psychopathia Machinalis taxonomy gives executives a vocabulary for the behavioural risks of agentic AI systems before those risks become incidents. She translates between engineers and the C-suite. Her Singularity University faculty role and prior work founding a venture-backed machine-learning company mean she speaks both sides of the room. Biography highlights Author of Taming the Machine: Ethically Harness the Power of AI (Kogan Page, 2024). Choice Outstanding Academic Title 2025. Goody Business Book Award 2024. President and Chair of the Supervisory Board, European Responsible AI Office (EURAIO). Vice Chair, IEEE P7001 Transparency of Autonomous Systems; Chair, IEEE ECPAIS Transparency Experts Focus Group. Associate Faculty (AI and Robotics) and Fellow for Ethics, Singularity University. Senior Fellow, Atlantic Council. Senior Scientific Advisor, Harvard Kennedy School’s Future Society AI Initiative. Founder of Poikos (now QuantaCorp), a machine-learning body-measurement company. Co-founder of EthicsNet and OpenEth. Biography The substance of AI governance lives in technical standards, not in mission statements. The IEEE 7001 standard on transparency for autonomous systems sets out measurable, testable levels of explainability; Nell Watson sits as Vice Chair of that working group. That is the layer where boards either earn defensible AI decisions or do not. She also runs the policy interface. As President of the European Responsible AI Office (EURAIO), she advises organisations on how to operate AI for outcomes that hold up under EU regulation. Few speakers carry both the standards seat and the policy seat at the same time. Most carry one or the other, or neither. Her 2024 book Taming the Machine (Kogan Page) became a reference text quickly, winning Choice Reviews Outstanding Academic Title in 2025 and the Goody Business Book Award in 2024. Alongside it she developed Psychopathia Machinalis, a diagnostic taxonomy for the behavioural failure modes of agentic AI. The taxonomy gives executive teams something they usually lack: vocabulary for what can go wrong inside an AI system before it goes wrong publicly. She is also an operator. She founded Poikos, a machine-learning body-measurement company now trading as QuantaCorp, and teaches AI and Robotics on the Singularity University faculty. The result for an audience is a speaker who can sit between the engineers writing the code and the directors signing off the risk register, and translate without losing precision. Key speaking topics AI ethics and responsible AI governance Transparency and auditability in autonomous systems EU AI Act and the regulatory operating environment Agentic AI risk and behavioural failure modes AI safety and alignment for executive audiences Machine intelligence and the future of work Standards and policy in emerging technology Ideal for Boards and audit committees taking on AI oversight responsibilities Chief Risk, Compliance, and Legal officers in regulated industries CIO, CTO, and Chief AI Officer functions setting governance frameworks Public sector leaders preparing for EU AI Act enforcement Audience outcomes A clear map of where AI governance is being decided, from IEEE standards work to the EU AI Act, and what each layer requires of the organisation. A working vocabulary for agentic AI failure modes, drawn from her Psychopathia Machinalis taxonomy. A direct view of how regulators and standards bodies are framing transparency, bias, and accountability. A sharper sense of which AI investments will survive external scrutiny and which will not.

Why organisations work with Elemi Atigolo He has put a generative AI product through UK financial regulation. Finley AI worked with the FCA Advice Unit on guidance models before evolving into an agentic financial AI agent that institutions integrate by API, which gives him a reference point on supervision and compliance that few AI speakers hold. He has handled the work he now advises on. A wealth manager at HSBC and a partner at St. James’s Place before he co-founded City Wharf Private Wealth, he has dealt with client suitability and adviser workflow first-hand. His thinking is on the record. His 2026 paper on the Agentic Profit Paradox sets out how agentic AI can improve client outcomes while weakening the human-bounded revenue that funds a firm’s margins, which reframes AI from an efficiency question into a question about the business model itself. He works at executive level, not only with technology teams. At Consult Venture Partners he advises boards on where generative and agentic AI changes the operating model and the economics, a conversation that needs someone who has carried both commercial and regulatory responsibility. Biography highlights Managing Partner and co-founder of Consult Venture Partners, advising boards on generative and agentic AI adoption. Founder of the Autonomy Economics framework and author of the 2026 paper “The Agentic Profit Paradox and the Reorganisation of Value Capture”. Co-founder of INATIGO (WealthTech100 2024, selected by FinTech Global from 1,300 companies) and lead developer of Finley AI, now an agentic financial AI agent delivered by API, which engaged the FCA Advice Unit on guidance models. Former HSBC Wealth Manager and former partner at St. James’s Place; co-founder of City Wharf Private Wealth, Highly Commended for Most Innovative Wealth Management Model at the 2021 WealthBriefing European Awards. Member of the Forbes Advisor Advisory Board (since October 2024) and the MIT Technology Review Global Insights Panel; named in the Powerlist Top 30 Tech Titans 2021 for Fintech and Data (Refinitiv/LSEG) and a UK FinTech Awards “Innovator of the Year” finalist. Contributor to FT Adviser and The Banker; featured by The Wall Street Journal, the Financial Times, BBC, CNBC Africa, IBM, and Wealth Adviser; speaker at an Economist Impact summit (2023). Holds a BSc in Computer Science and Distributed Information Systems and an MA in Accounting and Finance. Biography Finley AI went through the UK Financial Conduct Authority’s Advice Unit before most banks had written an AI policy. Built by INATIGO, the company Atigolo co-founded, it began in 2019 as a conversational assistant. It now runs as an agentic financial AI agent that institutions integrate by API. That history anchors his work, at the point where AI in finance meets supervision and the realities of client suitability. His route into AI is unusual. He managed client portfolios at HSBC, became a partner at St. James’s Place, and co-founded City Wharf Private Wealth, a digital wealth firm recognised at the 2021 WealthBriefing European Awards. He has sat on both sides of the client relationship and the technology that now reshapes it. His current research turns that experience into an argument. In a 2026 paper he set out the Agentic Profit Paradox: firms adopt agentic AI to stay competitive, and in doing so erode the human-bounded revenue that produced their margins. He calls the wider field Autonomy Economics, the study of how value capture and commercial defensibility shift once work no longer needs continuous human direction. For a board, the question is rarely what AI can do, and almost always what to build, what to buy, what to govern, and what it does to the business model. Through Consult Venture Partners, where he is Managing Partner, Atigolo answers it as someone who has both written the models and signed the client suitability forms. Key speaking topics Generative AI in financial services AI agents and conversational interfaces in wealth management AI, regulation, and the FCA AI product strategy for regulated firms Client experience and adviser workflow in an AI-enabled firm Fintech innovation and WealthTech AI adoption for finance leaders Ideal for CEOs, COOs, and boards in banking, wealth, asset management, insurance, and private capital setting AI strategy Chief Technology, Data, and AI Officers scoping generative and agentic AI deployment in regulated environments Heads of Advice, Distribution, and Client Experience reworking the adviser-client model Compliance, risk, and regulatory leads assessing AI governance, and executives weighing what autonomous systems do to margins and operating models Audience outcomes A clear view of where generative and agentic AI is already viable in regulated financial services, and where it is not A working vocabulary for AI agents, conversational interfaces, and the governance questions behind them A sharper read on what the FCA and comparable regulators expect when AI touches client guidance A realistic picture of what changes for advisers, clients, and operating models when AI moves from pilot to live A view of how agentic AI can strengthen client outcomes while undermining the revenue that historically funded them, and what that means for strategy

Why organisations work with Elin Hauge She translates AI from a vendor pitch into a leadership decision, naming the mathematics, the data risks and the regulatory exposure in language a board can act on. Her “artificial intelligence and natural stupidity” argument shifts accountability where it belongs, onto the humans designing, training and deploying the systems, which is exactly the framing regulators and litigators are moving to. A working combination of engineering, operational research and ongoing law studies lets her speak credibly across the EU AI Act, model risk and commercial strategy in a single conversation. She sits on non-executive boards, mostly as chair, so she speaks to other board members from inside the same governance problem rather than from a stage. She is rigorous about the limits of AI, including its environmental and human costs, which gives risk and sustainability committees a voice they trust rather than another adoption pitch. Biography highlights MEng in Biophysics and Medical Technology, Norwegian University of Science and Technology. MSc in Management Science and Operational Research, Warwick Business School. Non-executive board director, chair on the majority of her current board positions. Currently in law studies focused on responsible business practice and AI regulation. Featured by Elle Canada on responsible AI development; interviewed by London Speaker Bureau as a futurist and AI strategist. Keynote speaker at international summits including LIMITL3SS 2024 in Romania and PostNord Strålfors Smarter Communication Summit 2024. Biography Boards now sign off on AI commitments without a clear view of where the technology actually adds value, where it introduces risk, and which decisions the EU AI Act will hold them to. Elin Hauge works inside that gap. Her contribution is to convert AI from a procurement conversation into a governance and strategy decision that senior leaders can defend. Her background is unusually wide for the field. An engineering degree in biophysics from the Norwegian University of Science and Technology, an operational research masters from Warwick Business School, more than two decades connecting data-driven technology to commercial value, and current law studies aimed at the regulatory layer. That span lets her move between model behaviour, business case and legal accountability without losing precision in any of them. The argument she returns to is that the dangerous variable in AI is not the algorithm. It is the human assumptions baked into the data and into the decision to deploy. Her framing of “natural stupidity” puts the accountability question back where regulators are putting it, on the people designing and approving the systems. For leadership teams trying to write defensible AI policy, that reframe is the work. She speaks from inside the governance problem, not from outside it. She sits on several non-executive boards, chair on most of them, and has been featured by Elle Canada and the London Speaker Bureau as a voice against irresponsible AI development. Clients including Embriq, HPE Ireland and The Future Work Forum point to the same quality: she cuts through vendor noise and tells executives what is actually decision-relevant. Key speaking topics Artificial intelligence and business strategy AI governance and the EU AI Act Responsible and accountable AI adoption Algorithmic bias and human accountability Digital transformation and leadership decisions Environmental cost of AI and digital infrastructure Data strategy for boards and executive teams Ideal for Boards and CEOs setting AI policy and accountability lines Chief Risk, Compliance and Legal Officers preparing for AI Act enforcement CIO, CDO and CTO leadership teams moving AI from pilots to operating decisions Sustainability and ESG committees assessing the digital footprint of AI deployment Audience outcomes A working mental model of what AI can and cannot do, stripped of vendor language. A clearer view of where accountability sits when an AI system causes harm, and what that means for governance design. Specific reference points for aligning AI deployment with the EU AI Act and adjacent regulation. A sharper read on the trade-offs between digital expansion and environmental and social cost. Confidence to challenge AI proposals at board level using the right questions, not the loudest ones.