Executive Research Leader
David Cushman is an executive research leader for HFS Research. He has a long-term focus on emerging technology, tracking OneOffice and OneEcosystem enablers from automation, artificial intelligence (AI), generative AI (GenAI), data and design thinking, Web3 and metaverse, process orchestration, workflow, and intelligence to quantum computing. He also leads the HFS Hot Tech program.
Experienced in startup, scale-up, and large-scale digital transformation programs, David has led digital development at the UK's fastest-growing media company, founded and grown digital consultancies across Europe, and worked with world-class companies as a director in digital strategy advisory at a Tier 1 services provider.
The author of The 10 Principles of Open Business (Palgrave Macmillan, 2014), David earned a joint honors degree in philosophy and sociology from the University of Essex.
He lives in Cambridgeshire, UK, with his wife and daughter and enjoys reading, writing, travelling, and thinking (exploration of all kinds). David embraces change and always seeks learning opportunities. But, for all that, he has been a supporter of Leeds United Football Club since he was seven years old. Some things just cannot be unlearned.
Watch David Cushman discussing about HFS Horizons: Metaverse Services Providers, 2023
December 5, 2023 We explore what early innovators have learned about how generative AI will reshape enterprise value.
December 5, 2023 Ascendion CEO Karthik Krishnamurthy shares the hard lessons that can help us all unlock value with GenAI.
December 5, 2023 How is this study different? Discover lessons learned that make this a must-read series.
December 1, 2023 Genpact’s first AI innovation center opened in London, reinforcing the firm’s efforts to rethink workflows and unlock personalization.
December 1, 2023 We discuss balancing GenAI enthusiasm with delivery concerns.
December 1, 2023 Early adopters rank the overall impact of GenAI over the next few years against other technologies throughout history.
December 1, 2023 An exclusive cohort of early enterprise adopters identify the obstacles most likely to impact your GenAI deployment.
December 1, 2023 We explore lessons from early innovators about the factors that ensure successful value creation with GenAI.
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