Future of Technology

Why organisations work with Andrew Trask He has built the working infrastructure for privacy-preserving AI, not just written about it. PySyft, the open-source framework he created through OpenMined, is used by researchers and engineers to train models on data they never directly see. He sits inside one of the most consequential AI research labs in the world, DeepMind, while also leading an 18,000-strong community of privacy-preserving AI engineers. Few speakers operate credibly in both rooms. His agenda is structured transparency: making it possible for institutions to collaborate on AI without surrendering the underlying data. That is the exact tension a regulated industry leader is now trying to solve. He teaches the material rather than narrates it. Grokking Deep Learning and his Udacity courses have introduced tens of thousands of practitioners to neural networks and to private AI, which is why technical audiences find him credible rather than performative. Biography highlights Senior Research Scientist, Google DeepMind, working on privacy, federated learning, differential privacy, and secure computation. Founder of OpenMined, an open-source community of more than 18,000 researchers and engineers building privacy-preserving AI tools. Creator of PySyft, the open-source framework for training machine learning models on data the model owner cannot see. PhD candidate, University of Oxford, on the Oxford-DeepMind Graduate Scholarship; affiliated with the Future of Humanity Institute and the Centre for Governance of AI. Author of Grokking Deep Learning, Manning Publications, and instructor on Udacity’s Secure and Private AI and Deep Learning Nanodegree courses. Term Member, Council on Foreign Relations. Biography The hardest problem in applied AI is not modelling. It is access. The data that would make a healthcare model genuinely useful sits inside hospital systems that cannot legally share it. The data that would make a financial crime model work is split across banks that compete with each other. The default response has been to do less. Trask has spent the last decade building the technical answer to that problem. Through OpenMined, the open-source community he founded, he created PySyft, a framework that lets engineers train models on data they never directly see. The underlying methods, federated learning, differential privacy, secure multi-party computation, homomorphic encryption, are what serious AI governance now relies on. He calls the broader agenda structured transparency, and it is becoming the operating vocabulary for AI deployment in regulated settings. The institutional positioning matters. He is a Senior Research Scientist at Google DeepMind and a PhD candidate at Oxford, funded by the Oxford-DeepMind Graduate Scholarship and affiliated with the Future of Humanity Institute and the Centre for Governance of AI. He is also a Term Member of the Council on Foreign Relations. That combination puts him inside the frontier AI conversation and inside the AI governance conversation at the same time, which is unusual. The teaching record is the test of whether his ideas travel. Grokking Deep Learning, published by Manning, taught a generation of engineers how neural networks actually work. His Udacity courses on secure and private AI did the same for the privacy-preserving stack. The reason senior technical audiences treat him as a primary source rather than a commentator is that they have already worked through his material. Key speaking topics Privacy-preserving artificial intelligence Federated learning and secure computation AI governance and structured transparency Differential privacy in practice AI safety and responsible deployment The future of data infrastructure for AI Foundations of deep learning for non-specialists Ideal for Chief AI officers, CTOs, and chief data officers in regulated industries (healthcare, financial services, government) deciding how to deploy AI on sensitive data. Boards and audit committees pressure-tested on AI governance, data risk, and the gap between AI ambition and AI infrastructure. Heads of research, innovation, and product engineering teams building the next generation of AI products. Policy and public-sector leaders responsible for AI standards, data sharing, and international AI governance. Audience outcomes A working mental model of the privacy-preserving AI stack, named technique by named technique, instead of the usual abstractions. A clearer view of which AI use cases are unlocked by federated learning and secure computation, and which remain blocked by data access. A grounded read on where AI governance is heading, from someone inside both DeepMind and the Oxford AI governance ecosystem. A direct sense of how to move from AI pilots to deployments that survive regulatory and reputational scrutiny.

Why organisations work with Ramy Nassar He brings a published, structured method for AI product design from idea to launch, set out in the AI Product Design Handbook and used by enterprise teams who need a repeatable process rather than another inspiration deck. He has run innovation inside Mattel and led design and strategy at Architech for Apple, Air Canada, CIBC, Facebook and Rogers, so the operational reality of shipping new products inside large organisations is in the room. His work separates “AI Now, Next and Never,” giving boards a defensible position on what to deploy, what to wait on, and where to draw governance lines. He teaches design thinking and innovation at McMaster University and Toronto Metropolitan University, and executive programmes at Schulich ExecEd, which keeps the frameworks tested against working leaders. Client engagements span Apple, TD Bank, TELUS, Verizon, New Balance and the Government of Canada, covering both regulated and consumer environments. Biography highlights Author, AI Product Design Handbook Former Head of Innovation, Mattel, where he launched the company’s first innovation lab Former Managing Director, Design and Strategy, Architech Founder, 1000 Days Out, advisory practice on AI and emerging technology Faculty: McMaster University, Toronto Metropolitan University, Schulich ExecEd at York University Featured by CPA Canada at The ONE national conference; speaker at FITC, IxDA, FWD50 and World Usability Congress Biography Most AI projects inside large organisations have the same shape. A pilot ships, attention moves on, and the operating model does not change. Boards then have to decide whether the next round of spend should go into more experiments or into the harder work of getting AI into the product and into the workflow. That is the decision Ramy Nassar is built to inform. The AI Product Design Handbook sets out a repeatable process for taking AI products from idea to launch, with explicit attention to user trust, transparency and governance. It is used by product and design leaders who need a method, not a manifesto. The argument is grounded in his time as Head of Innovation at Mattel, where he launched the company’s first innovation lab and led emerging-technology work for Barbie and Hot Wheels, and earlier as Managing Director of Design and Strategy at Architech, where he ran client work for Apple, Air Canada, CIBC, Facebook and Rogers. Through 1000 Days Out he advises senior teams at Apple, TD Bank, TELUS, Verizon, New Balance and the Government of Canada on AI adoption, strategic foresight and product strategy. His framing of “AI Now, Next and Never” is designed for boards that need to commit capital and set governance lines at the same time, and his strategic foresight work gives leaders a structured way to test decisions against multiple long-range scenarios. Faculty roles at McMaster University, Toronto Metropolitan University and Schulich ExecEd at York University keep the frameworks tested against working executives. CPA Canada featured him at The ONE national conference on turning insights into measurable impact, and his international speaking includes FITC, IxDA, FWD50 and the World Usability Congress. Key speaking topics Artificial intelligence adoption and product design Responsible AI and governance Strategic foresight and scenario planning Innovation strategy Emerging technology and exponential change Digital product and customer experience design Ideal for Boards and C-suite teams setting AI investment and governance policy Chief Product Officers, Chief Design Officers and Chief Innovation Officers moving from pilots to deployed AI Heads of Strategy and corporate development running scenario planning under technology uncertainty Public-sector leaders shaping responsible AI policy and procurement Audience outcomes A defensible “now, next, never” view of where to deploy AI, where to wait, and where to refuse A structured method for taking AI features from concept to launch with governance built in Sharper foresight tools for testing strategy against multiple long-range scenarios Concrete language for communicating AI risk, ethics and product trade-offs to non-technical executives and customers

Meet Joe Toscano Joe Toscano is an award-winning designer, published author, and international keynote speaker and featured regularly on Fox News as a technology expert, along with other major media outlets. You may have seen Joe featured in The Social Dilemma or read his articles on Forbes. Watch his TEDx Talk, “Want to work for Google? You already do,” for a summary of his work. Previously an Experience Design consultant for Google, Joe left Silicon Valley because he believes the industry misuses data and feels the issues need to be addressed through innovation rather than strict regulation. Since leaving, Joe has written a book, called Automating Humanity, and he has started the Better Ethics and Consumer Outcomes Network (BEACON), both focused on increasing technology literacy, discovering opportunities for purpose-driven innovation, and moving communities forward through purpose-driven innovation. Joe’s talks focus on how we can create a better, human-centered approach to designing the internet. His deepest knowledge is in privacy, data protection, digital literacy, and the larger conversation around data rights as human rights.

Why organisations work with Adolfo Fernandez Operator perspective from inside the two platforms reshaping global retail. He has led commercialisation strategy for Google Shopping’s mid-market segment and now Global Product Strategy and Operations for TikTok’s eCommerce advertising suite. A working framework for cross-border growth, drawn from running Google’s internationalization advisory practice for the mid-market. It addresses the question most growth-stage companies misjudge: when domestic plateau means it is time to enter a new market, and on what terms. Recognised by the World Economic Forum, which invited him into its Expert Network on Retail, Consumer Goods and Lifestyle, and Digital Communications. That credential signals depth that bureau platforms alone cannot. Comfort across three buyer registers: regulators and policy bodies (UN, WTO), executive education audiences (IE Business School, MIT), and corporate boards. Leaders get a speaker who can move between policy frame and operating frame without losing either. Delivery in English, Spanish, Italian and Portuguese, which makes him useful for European and Latin American leadership audiences that other Silicon Valley operators cannot reach without translation. Biography highlights Global Director of Product Strategy and Operations for eCommerce advertising at TikTok, based in San Francisco Former Google leader: Business Development Manager for Spain and Portugal, Global Program Manager for Internationalization advisory, and Google Shopping commercialisation strategy lead for the SMB segment World Economic Forum Expert Network member since 2019 in Retail, Consumer Goods and Lifestyle, and Digital Communications Speaker at more than 200 international conferences, including United Nations and World Trade Organization platforms Guest lecturer at IE Business School and MIT MA in International Management, IE Business School; BA in Business Administration, University of Santiago de Compostela Biography Most companies still treat international expansion as a sequencing problem: which market next, in what order, on what timeline. The harder question is platform-shaped. Discovery, conversion and brand association now run through a small number of global commerce environments, and the rules of entry differ across them. That is the terrain Adolfo Fernandez works in. He is currently Global Director of Product Strategy and Operations for eCommerce advertising at TikTok, where he leads product strategy, product marketing and go-to-market for the platform’s commerce advertising suite. The role sits at the centre of one of the most consequential shifts in consumer attention of the last five years. Before TikTok, he spent close to a decade at Google. He started as Business Development Manager for Spain and Portugal in 2015, then took over Google’s Internationalization advisory services for the mid-market in 2018, before moving to San Francisco to lead Google Shopping commercialisation strategy for the SMB segment. The arc gave him an unusual vantage on how mid-sized firms actually win, and lose, in cross-border digital commerce. His public-facing work has reached the UN and the World Trade Organization, executive audiences at IE Business School and MIT, and the World Economic Forum, which invited him into its Expert Network on retail, consumer goods and digital communications in 2019. He works in English, Spanish, Italian and Portuguese, which extends his reach into European and Latin American audiences that most Silicon Valley operators cannot serve directly. Key speaking topics Digital commerce and platform strategy International growth and market entry Retail technology and consumer behaviour Brand building in digital-first markets Innovation and product strategy Future of work in technology-led organisations Ideal for Boards and executive teams of mid-market and large companies planning international growth CMOs, commercial directors and digital leaders rethinking discovery, paid media and conversion economics Retail, consumer goods and lifestyle leadership teams reassessing platform dependency Executive education and leadership development audiences in Europe and Latin America Audience outcomes A clearer read on how Google and TikTok are changing the economics of consumer attention and commerce A practical lens for deciding when and how to enter new international markets A working distinction between innovation and creativity inside large organisations Specific examples of how digital-native brands have built relevance and speed without losing core values

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

Why organisations work with Hamilton Mann He runs digital and AI transformation at Thales across 68 countries in defence, aerospace, cybersecurity and digital identity, so the advice he gives boards is the advice he himself has to act on inside one of the most regulated operating environments in the world. Artificial Integrity is a published, named framework with a Wiley imprint behind it and a Thinkers50 Distinguished Achievement Award in Digital Thinking. Buyers get a defensible reference point, not a personal opinion. He teaches AI strategy at INSEAD, HEC Paris and EDHEC Business School, which means the content travels at executive education register without being either academic or vendor-coloured. He bridges the two AI conversations boards are stuck between: the engineering question of what the system can do, and the governance question of what the organisation can defend. Most speakers credibly cover one side. Biography highlights Group Vice President, Digital Marketing and Digital Transformation, Thales (defence, aerospace, cybersecurity, digital identity, 68 countries). Author, Artificial Integrity: The Paths to Leading AI Toward a Human-Centered Future (Wiley, October 2024). Thinkers50 Radar 2024 (top 30 emerging business thinkers globally); Thinkers50 Distinguished Achievement Award in Digital Thinking, 2025. Senior Lecturer at INSEAD, HEC Paris and EDHEC Business School; Mentor, MIT Priscilla King Gray Public Service Center. Forbes US contributor on AI; published in Stanford Social Innovation Review, California Management Review, Rotman Management, Knowledge@Wharton, INSEAD Knowledge, I by IMD, Harvard Business Review France. Host of The Hamilton Mann Conversation, a podcast on Digital for Good. Biography The harder problem in enterprise AI is no longer model performance. It is the gap between what a system can do and what an organisation can defend in front of a regulator, a court, a journalist or a customer. Hamilton Mann named that gap and gave it a discipline. His book Artificial Integrity, published by Wiley in October 2024, argues that AI design has spent a decade optimising for intelligence and almost no time on integrity, by which he means systems that demonstrate ethical, moral and social reasoning and remain continuously assessable in that capacity. The argument earned the Thinkers50 Distinguished Achievement Award in Digital Thinking in 2025 and a place on the Thinkers50 Top 10 New Management Books list the same year. The credibility comes from operating reality as much as from publishing record. As Group Vice President for Digital Marketing and Digital Transformation at Thales, Mann runs digital and AI initiatives across 68 countries inside a defence, aerospace, cybersecurity and digital identity business, the kind of environment where a poorly governed AI decision has consequences beyond reputational damage. He carries that lens into his teaching at INSEAD, HEC Paris and EDHEC, his mentoring at MIT’s Priscilla King Gray Public Service Center, and his Forbes US column on AI and society. For a board or executive committee debating AI deployment, the value is concrete. Mann sits at the intersection of three conversations most organisations try to hold separately: the technical, the governance and the strategic. He has a published framework, an operator’s track record and the standing to challenge a leadership team without retreating into either ethics theory or vendor pitch. Key speaking topics Artificial Integrity as an AI design discipline Responsible AI deployment in regulated industries Digital and AI transformation at enterprise scale AI governance for boards and executive committees Digital for Good and the paradoxes of technology Human-centred AI strategy Leadership in the age of AI Ideal for Boards and executive committees setting AI policy and risk appetite Chief AI Officers, CIOs, CTOs and Chief Digital Officers responsible for enterprise deployment Regulated industry leadership in defence, financial services, healthcare, energy and public sector Senior leadership programmes and executive education on AI strategy Audience outcomes A working definition of Artificial Integrity that a leadership team can use to evaluate its own AI portfolio A clearer view of where current AI deployments create defensibility risk and where they create operating advantage The vocabulary and framework to challenge vendors, internal AI proposals and governance gaps with the same standard A reference point grounded in both a published Wiley title and an active operating role at one of Europe’s largest technology groups

Meet Sarah Ann Macklin Sarah Ann Macklin is a multifaceted force in the realm of health, nutrition, and advocacy. As the founder of the acclaimed podcast Live Well Be Well and the visionary behind the Be Well Collective, she has galvanised change in the wellness landscape. A registered nutritionist, TEDx speaker, international model, and esteemed health journalist, Sarah’s impact exceeds boundaries. Sarah was talent-spotted by a top London model agency at the age of 15 then whisked off to New York and catapulted into the world of high fashion and glamour, appearing on the front cover of Harpers, Vogue, and was the face of many high-profile campaigns. However, the reality was a brutal industry, which lacked any compassion and empathy. The apparent success of Sarah ultimately led to her health failing and being admitted to A&E which subsequently forced a huge career rethink, leading to the decision of turning her back on high fashion and pursuing her other love, nutrition! Through drive and determination, and ‘hindered’ with dyslexia, Sarah achieved a first-class degree in nutrition! Her dedication to preventative mental health initiatives led to the establishment of the Be Well Collective, a not-for-profit organization committed to preventable mental health support, on a mission for all minds to BE Well. Through her top UK health and nutrition podcast, Live Well, Be Well, one of the biggest UK health podcasts with most exclusive of the moment health conversations involving the world’s renowned scientists and health experts, Sarah has publicised invaluable insights and garnered widespread acclaim. Sarah’s influence extends to the political sphere, where she presented crucial findings on dietary guidelines and their link to the Type 2 diabetes epidemic at the European Parliament. Her book, “The Great British Veg Out,” ignited a nationwide campaign for healthier eating habits, earning support from prominent figures like Gary Barlow and Victoria Pendleton. Additionally, Sarah has consulted for leading brands such Ennismore group, Farmstand restaurant and The GoodLife as well as help patients in her clinic from magazine editors, popstars, actors and C-suite level executives and worked for Netflix. Sarah talks candidly about her own battles during her time as model recognising the lack of nutritional guidance in the modelling industry, Sarah founded the Be Well Collective, which has positively impacted thousands of young individuals through education summits, workshops, mentoring programs, and online resources. Her TEDx talk, “Are models, role models?” underscored her prowess as a compelling public speaker on physical and mental health, further solidifying her reputation. Sarah’s contributions to esteemed publications such as the Financial Times, Telegraph, and Harper’s Bazaar reflect her unwavering commitment to empowering individuals to lead healthier, more fulfilling lives.

Why organisations work with Ashlea Atigolo She has co-built a generative AI product, Finley AI, that has been recognised on the WealthTech100 2024 list, so the advice she offers boards is grounded in shipped technology rather than commentary. She brings a regulated-industry lens. Her work spans wealth management, private equity and fintech, where the question is not whether to deploy AI but how to do it without breaking trust, compliance, or customer relationships. She is a credible voice on women in AI without leaning on the topic alone. The named recognition (TechRound Top 64 Women in Tech, Great British Businesswoman finalist, Fintech Powerlist) sits alongside the technical and commercial credentials. She is equally fluent as a keynote speaker, panel host and workshop facilitator, which makes her a flexible fit for AI summits, leadership offsites and investor-facing events. Biography highlights Co-founder of INATIGO, a generative AI venture builder. Co-founder of Finley AI, listed on the WealthTech100 2024. Managing Partner at Consult Venture Partners, advising executives on generative and agentic AI adoption. Former Co-Founder and Co-Managing Director of City Wharf Private Wealth, awarded Europe’s Most Innovative Wealth Management Model at the 2021 WealthBriefing European Awards. Listed on TechRound’s Top 64 Influential Women in UK Technology (2022) and named on the Fintech Powerlist. Speaker and host at Fintech Week London, Fintech Connect and Chatbot Africa AI Summit. Biography Most organisations have an AI strategy. A much smaller number have AI in production, talking to customers, sitting inside regulated workflows and answering to a compliance function. Ashlea Atigolo works at that second layer. As co-founder of INATIGO and its flagship product Finley AI, listed on the WealthTech100 2024, she has built generative AI systems for personal finance rather than written about them. Her route into AI was operational, not academic. Before INATIGO she co-founded City Wharf Private Wealth, where her co-leadership won Europe’s Most Innovative Wealth Management Model at the 2021 WealthBriefing European Awards. That background gives her advisory work a distinctive cast. She understands wealth, private equity and fintech as live operating environments, not case studies, and her current role as Managing Partner at Consult Venture Partners is built on that. Her independent recognition is dense and recent. She has been named on TechRound’s Top 64 Influential Women in UK Technology, included on the Fintech Powerlist, and shortlisted as a finalist for the Great British Businesswoman Awards in technology. She has advised Adobe directly and has been engaged through GLG, AlphaSense and GuidePoint by executives in fintech, private equity and financial services. On stage she is most useful to organisations that need a builder’s view of generative and agentic AI: what to deploy, what to delay, how to govern it, and where the human still has to sit inside the workflow. She hosts and keynotes at Fintech Week London, Fintech Connect and Chatbot Africa AI Summit, and is equally credible in a board workshop as on a main-stage panel. Key speaking topics Generative and agentic AI in financial services AI product strategy and deployment in regulated industries Conversational and empathetic AI design Responsible AI, trust and governance Fintech and wealth management innovation Women in AI and inclusive technology teams Leadership through technological disruption Ideal for Boards and executive committees in financial services, wealth management, private equity and fintech sizing up generative or agentic AI investments. CIO, CTO, CDO and Head of Innovation audiences moving from AI pilots into operating deployment. Fintech, AI and wealth-management conferences looking for an operator-speaker rather than a commentator. Internal AI summits, leadership offsites and women-in-tech programmes inside large enterprises. Audience outcomes A clearer picture of where generative and agentic AI is genuinely production-ready in regulated industries, and where it is not. A working vocabulary for governance conversations: agents, guardrails, oversight, human-in-the-loop. A view of how a builder, not a vendor, sequences AI adoption inside a regulated business. Named examples of fintech and wealth-management deployments that buyers can take into their own strategy conversations.

Why organisations work with Dhiraj Mukherjee He has done the thing most innovation speakers describe. Shazam was a category invention before mobile internet was mainstream, and it ended with a reported $400 million sale to Apple. A 250-company investment portfolio across AI, climate tech and frontier software gives him a working map of which emerging technologies are moving from pilot to operating substance and which are stalling. Direct line of sight into capital flows alongside Bill Gates’s Breakthrough Energy Ventures and Al Gore’s Generation Investment Management, which is rare for a keynote speaker working on climate and AI together. Operator credibility inside large incumbents as well as start-ups, including Head of Banking Innovation at Virgin Money and senior roles at Bauer Media, Infosys and Reuters. Named to the Financial Times’ Top 50 European technology entrepreneurs, The Digital Banking Club’s Power 50 and Smith & Williamson’s Power 100, which positions him as a credible voice on UK and European innovation policy as well as commercial strategy. Biography highlights Co-founder of Shazam Entertainment, acquired by Apple in 2017 for a reported $400 million Named to the Financial Times’ Top 50 European technology entrepreneurs (2015) Elected to The Digital Banking Club’s Power 50 (2016) and Smith & Williamson’s Power 100 (2017) Angel investor in over 250 technology companies across AI, climate tech and “Tech for Good” Former Head of Banking Innovation, Virgin Money; previous roles at Bauer Media, Infosys, Reuters and Save the Children Mathematical Economics degree, Dartmouth College; MBA, Stanford Graduate School of Business Biography Shazam was launched in 2000, before smartphones, before app stores, before mobile data was reliable enough to stream a song. The team built a service that recognised music by sound from a feature phone over a voice call. Eighteen years later, Apple bought the company for a reported $400 million. Dhiraj Mukherjee co-founded it. That history matters because it is the practical version of what most boards are now trying to do with AI. Identify a capability that the technology curve will eventually make obvious, build it before the market is ready, survive long enough to be right. Shazam went through the dot-com crash and the 2008 financial crisis on the way to Apple, which is why his perspective on category-building is closer to operating experience than to theory. Since exiting Shazam, Mukherjee has invested in more than 250 technology companies, with a declared focus on AI, climate tech and “Tech for Good.” He has co-invested into Breakthrough Energy Ventures, the climate vehicle backed by Bill Gates, and into Al Gore’s Generation Investment Management, which gives him an unusual vantage point on where institutional capital is actually moving across the AI and energy transition curves. His earlier career sits inside large incumbents, including Head of Banking Innovation at Virgin Money and senior roles at Bauer Media, Infosys and Reuters. The Financial Times named him to its Top 50 European technology entrepreneurs in 2015, and he holds an MBA from Stanford Graduate School of Business and a Mathematical Economics degree from Dartmouth. Key speaking topics Emerging technology and AI strategy Innovation and category creation Climate tech and the energy transition investment case Digital transformation inside large incumbents Resilience and the long arc of building a technology company Tech for Good and impact investing The future of work in the age of AI Ideal for CEOs, CSOs and innovation leads setting AI and emerging-technology strategy Boards and investment committees pressure-testing capital allocation across AI and climate Senior leadership teams inside banks, media and consumer businesses navigating digital transformation Founder and scale-up audiences inside corporate venturing and accelerator programmes Audience outcomes A sharper read on which emerging technologies are moving from pilot to operating advantage and which are stalling A working framework, drawn from Shazam, for how categories actually get built through downturns An investor’s view of where AI and climate-tech capital is concentrating, and what that signals for corporate strategy A more honest sense of the time, capital and persistence required to compound a technology bet into commercial outcome