There is fast-growing interest in taxonomies that categorise and describe the skills that individuals deploy at work, to enable digital applications that engage with skills and to facilitate reskilling and upskilling required by a fast-changing job environment. Maury Shenk explores the emerging landscape of traditional and new skills taxonomies, and explains how artificial intelligence and related techniques can make these taxonomies more useful - drawing on his experience as CEO of LearnerShape, which is developing the world's first AI-driven, open source learning infrastructure.
Maury Shenk's experience focuses at the intersection of technology, law and education. He is co-founder and CEO of edtech start-up LearnerShape, director of global testing and certification company PeopleCert, and founder and managing director of Lily Innovation, through which he handles a portfolio of other investment and advisory activities. Maury is a dual-qualified US/UK lawyer and former managing partner of the London office of global law firm Steptoe & Johnson, where he remains an advisor. He has a deep practical understanding of technology, especially artificial intelligence, IT, telecommunications and information security. Maury is a graduate of Harvard College and Stanford Law School. He is a lover of languages – a native speaker of English (the American version), proficient in French and Russian, comfortable in Mandarin Chinese and Spanish, and dilettante in German, Italian, Norwegian and Greek. He is also a guitar player and an avid competitive and recreational sailor.
Tuesday, 02 November 2021
11:00 - 11:45 GMT
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