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AI scientist and digital pioneer who has advised governments on AI strategy, drawing on direct experience of the technology to examine its capabilities, applications and implications for organisations and public policy.
The capabilities and limitations of machine autonomy as intelligent systems move from research into real-world use, drawing on experience advising Google's self-driving car programme and writing on autonomous systems for decades.
AI in retail applications such as pricing, personalisation and changing customer expectations, from a futurologist and data scientist specialising in retail.
AI and generative tools through business decisions around development, procurement, adoption and the design of technology-enabled products and services, informed by a professor of strategic design for technology-based innovation.
Links between AI capability and business strategy, bringing an Asia-Pacific perspective to adoption, competition and the commercial development of the technology, informed by a corporate futurist and AI strategist working from Singapore.
Founder of a mobile banking startup and author on the future of financial services, examining AI in financial services, including how automation changes banking and the wider financial services model.
A forensic cyberpsychologist, academic chair, and international agency advisor, analysing the psychological and social effects of artificial intelligence, machine humanisation, and the evolving human-machine trust dynamics that influence enterprise decision-making and behavioural risk.
AI alongside wider technology and innovation trends, including its role in long-term business strategy, informed by work on innovation and strategic foresight across emerging technologies.
How AI can reshape organisational design, decision-making and the structure of work, informed by work on collective intelligence design at MIT, studying how AI changes the way organisations think and decide.
AI strategist and author advising organisations on applied AI. Examines the gap between experimentation and adoption, including the organisational changes needed to move AI from pilots into business and customer use.
Sinologist and tech entrepreneur with a dedicated talk on generative AI from China, covering Chinese technology development, competition and the geopolitical implications of generative AI.
People and organisational culture, examining how teams respond when new tools change established roles and ways of working, informed by a culture and strategy specialist who has run culture programmes inside a large bank.
Professor of Leadership and Strategy Jamie Anderson specialises in leadership, innovation and organisational transformation. His “Leading with AI” keynote explores the human leadership capabilities needed as AI increasingly changes how organisations operate.
AI governance, standards, accountability and the organisational processes involved in responsible use, from a specialist in responsible AI, working on international standards for ethical deployment.
Business school professor working on AI, analytics and data strategy, focusing on the organisational capabilities, data foundations and skills required for AI to produce measurable business outcomes.
Oxford economist on globalisation and technological change who has argued publicly about the risks of unchecked AI. Examines AI through labour markets, inequality, development and the wider economic effects of automation.
The co-founder and first CEO of Netflix, exploring how corporate leaders can leverage artificial intelligence and continuous testing to de-risk radical product ideas, automate rapid experimentation, and construct resilient, future-proof business models.
Engineer, academic and entrepreneur Raffaello D’Andrea is a pioneer in robotics and autonomous systems and co-founder of Kiva Systems, now Amazon Robotics. His work spans machine learning, robotics and autonomous technology, bringing a practical engineering perspective to AI and intelligent machines.
Organisational psychologist working on people analytics and AI in hiring and talent, examining what algorithms can predict about people, where their limitations appear and how AI is used in workforce decisions.
Theoretical physicist and science communicator. Sets AI within the longer arc of scientific and technological change, connecting machine intelligence with wider questions about the future of science.
A futurist, veteran game developer, and founder of an award-winning AI digital fashion startup, exploring how machine learning transforms the creative economy, digital product tracking, and human experiences within immersive virtual platforms.
AI alongside quantum computing and other advanced technologies, with a focus on explaining complex scientific ideas, from a physicist and data scientist who translates technical subjects for general audiences.
Connections between AI and autonomous machines, drones, standards and the use of intelligent systems in the physical world, informed by an economist who co-founded a drone advisory business and chairs a national UAV standards committee.
Futurist tracking emerging technology and its commercial consequences, looking at emerging AI capabilities and how new developments may shape business strategy and future technology decisions.
Works on customer-centric strategy in disrupted markets, examining the customer relationship, including how automation changes interactions between organisations, customers and digital services.
AI as part of technology-driven change and the longer-term evolution of organisations and markets, informed by a futurist and author on technology-driven business change.
AI as a creative collaborator in design, informed by a design futurist who worked on machine-augmented design tools at scale.
AI through ethics, societal impact and the consequences of embedding intelligent systems in everyday life, from a digital ethics specialist working on the relationship between technology and human life.
Founder of a cybercrime research institute advising governments on digital risk, examining cybersecurity, including how lower-cost models change the capabilities available to attackers and defenders.
Technology research and insights lead at Deloitte and former Gartner VP of Research, examining AI in the context of enterprise technology strategy, operating models and how large organisations assess emerging technologies.
Autonomy, accountability, safety and the ethical questions involved in building and deploying intelligent systems, from an AI ethicist and machine intelligence engineer working on machine morality and safety standards.
AI as part of wider changes in business, technology, society and the future of organisations, from a business futurist covering technology within broader global trends.
AI expectations against the pace at which technologies and behaviours are adopted in the real world, from a trendspotter and futurologist who studies how change unfolds over time.
Employment, economic structure and the long-term relationship between AI, technology and the workforce, informed by an economic theorist writing on technological change and work, including automation's effect on labour.
A prominent internet pioneer, crossbench peer, and chair of London’s AI Taskforce, analysing how artificial intelligence impacts the future of work, digital inclusion, and the critical framework required to establish responsible technology across business and society.
The social and economic consequences of AI, including its effects on institutions, workers and the claims made about technological progress, from an author and long-standing critic of the digital economy.
Technology journalist who explains complex technology to mainstream audiences, exploring consumer adoption, trust and how AI enters everyday use.
AI alongside broader changes in society, economics, technology and the way people and organisations respond to emerging trends, informed by a trendwatcher covering societal and economic shifts.
AI within a wider futures practice spanning technology, society and organisational change, from a futurist working on emerging technology and its business consequences.
AI through ethics and human agency, including questions about which decisions and activities society chooses to automate, informed by a futurist writing on technology and human values.
Technology investor and commentator with decades of perspective on emerging technology, examining policy, ethics, investment and the longer-term governance of AI and other emerging technologies.
Former world chess champion who faced a machine capable of beating a human champion and later wrote on human-machine collaboration, drawing on that experience to examine competition, collaboration and the changing relationship between people and AI.
Links between AI and business model change, including how new capabilities can shift where organisations create and capture value, drawing on work in strategy and innovation across sectors.
Futurist working across technology, industry and environmental systems, examining AI as part of interconnected physical, industrial and ecological systems.
Strategic foresight expert Thimon de Jong specialises in future human behaviour and societal change. His work on the human side of emerging technology explores how new technologies are changing behaviour, leadership and the way organisations prepare for the future.
AI adoption in incumbent companies, including the organisational factors that influence how quickly established businesses respond to new technology, informed by an entrepreneur and adviser on innovation inside established organisations.
AI at city and national scale, including its use in public infrastructure and services, drawing on experience advising governments and corporates across Asia on AI and smart cities.
Founding editor of WIRED UK who has spent years inside fast-moving technology companies, examining how companies are applying AI and how real-world adoption compares with the claims made around the technology.
How people behave around intelligent machines and how those behaviours influence AI-enabled systems, from a computer scientist specialising in human-computer interaction and social robotics.
AI events can span technology, business adoption, governance, ethics, the future of work and customer experience. The right speaker depends on whether the audience needs to understand the technology itself or what it means for their organisation.
A technical audience may want a researcher or practitioner with direct experience working with AI systems. Executive audiences may prefer a speaker who can connect AI with strategy, organisational decisions and people. Policy and governance events may call for a different background again. Speaker Ideas can shortlist around the purpose of the session rather than treating ‘AI speaker’ as a single type.
Conor Grennan
Chief AI Architect at a business school and founder of an AI adoption practice, focusing on how non-technical professionals learn to use AI tools and integrate them into everyday work.