AI is starting to usher in a new era for work. LinkedIn data suggests that by 2030, generative AI (GAI) could transform up to 65% of roles, reducing mundane tasks and enhancing complex planning, reasoning, and decision-making skills. But it’s not just the way we work that’s transforming, it’s the very definition of work itself. Enterprises that want to emerge successfully from this cognitive transformation must focus on upskilling and reskilling employees - both around AI-specific skills and human-centric skills like flexibility, empathy, and strategic thinking.
Join us for this keynote as we explore GAI’s potential at its edges, its impacts on the enterprise workforce, and suggest strategies for enterprises to both leverage GAI benefits and help their teams navigate in an increasingly AI-driven world.
Donald Thompson
Donald is currently a Distinguished Engineer at LinkedIn, primarily overseeing the company's generative AI strategy, architecture, and technology. He has more than 35 years of hands-on experience as a technical architect and CTO, with an extensive background in designing and delivering innovative software and services on a large scale. In 2013, Donald co-founded Maana, which pioneered computational knowledge graphs and visual no-code/low-code authoring environments to address complex AI-based digital transformation challenges in Fortune 50 companies. During his 15 years at Microsoft, Donald started the Knowledge and Reasoning group within Microsoft's Bing division, where he innovated "Satori", an internet-scale knowledge graph constructed automatically from the web crawl. He co-founded a semantic computing incubation funded directly by Bill Gates, portions of which shipped as the SQL Server Semantic Engine. Additionally, he created Microsoft's first internet display ad delivery system and led numerous AI/ML initiatives in Microsoft Research across embedded systems, robotics, wearable computing, and privacy-preserving personal data services.