DataFramed #220 [Radar Recap] Building Tomorrow's Workforce, Today: Scaling Internal AI Academies
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Jul 1, 2024 
Giorleny Altamirano Rayo, Chief Data Scientist at the U.S. Department of State, Mike Baylor, Vice President at Lockheed Martin, and Carolann Diskin, Senior Technical Program Manager at Dropbox, dive into the pressing need for AI upskilling in the workforce. They discuss how to develop engaging internal AI academies, from crafting effective curricula to fostering a culture of continuous learning. Insights into measuring ROI for training and embracing diverse learning modalities offer actionable strategies for organizations eager to enhance their AI capabilities.
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Motivation for AI Training
- Different organizations have varying motivations for AI training.
- The U.S. Department of State focuses on leveraging AI for unstructured data like text, recognizing its potential in diplomacy.
Target Audience for AI Training
- Offer diverse AI training to everyone in your organization.
- Tailor training to different roles, from technical staff to leadership, addressing specific needs and skill levels.
Centralized AI Training
- Lockheed Martin's AI training is centralized, offering common resources and courses across the corporation.
- This "build once, use many" approach promotes efficiency and consistency.