#220 Radar Recap - Building Tomorrow's Workforce, Today Scaling Internal AI Academies
As AI continues to be a critical driver of innovation and competitive advantage, the imperative for organizations to upskill their workforce in this domain has never been more pressing. In this session, Mike Baylor, Vice President & CDAO at Lockheed Martin, Carolann Diskin, Senior Technical Program Manager at Dropbox, and Giorleny Altamirano Rayo, Chief Data Scientist at U.S. Department of State, outline the critical steps to creating a successful AI upskilling program within your organization. They focus on best practices for building internal AI academies, from curriculum development to engagement strategies and measuring impact. This session covers everything you need to launch and sustain an effective AI learning ecosystem that drives innovation and enhances organizational capabilities.
As VP, Chief Digital & AI Officer (CDAO), Mike is responsible for the innovation and delivery of advanced Digital and AI technologies across the Lockheed Martin corporation. Mike has over 23 years’ experience serving LM in various roles both inside and outside the corporation. In his previous role as VP & Chief Data & Analytics Officer (CDAO), Mike was responsible for the Data and Analytics enterprise function and talent of over 300 professionals across the corporation. In this role, he spearheaded LM's Data and Analytics digital transformation, infrastructure, development and execution across the corporation. Within LM IS&GS, Mike launched a very successful commercial business comprised of machine learning and analytics technologies for government, commercial and international customers. Prior to this, Mike led a team that pioneered innovative systems engineering approaches to help simplify and integrate the data of large complex systems for Government clients. Mike started his career with Lockheed Martin at Space Systems Company within a Flight Operations Team at NASA where he supported pre-launch, launch, and post launch satellite operations.
As a Technical Program Mana
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