In this episode of Technology Meets Science, we welcome David Meza, Head of Analytics at NASA’s Human Capital Office. David shares how data science and AI are transforming talent management at NASA, ensuring the right individuals are matched with critical missions. From knowledge graphs to generative AI, he explains how NASA is leveraging technology to optimize workforce planning, upskilling, and recruitment. Tune in for insights on AI-driven talent analytics, the challenges of data accessibility, and what it takes to land a career at NASA.
In this episode, you will learn:- How NASA uses data science, analytics, knowledge graphs, and AI to align employees' skills and competencies with space mission roles
- How NASA tackles cleaning and structuring workforce data
- How AI models help to assess employee skills, identify gaps, and recommend training programs to upskill the workforce.
- How open-source tech stack, including Python, R, SQL, Databricks, and knowledge graphs enable smarter decision-making
- What it takes to work at NASA, from passion-driven careers to the importance of continuous learning
__________________________________________More about Appsilon:► https://www.appsilon.com/Appsilon empowers pharmaceutical and life sciences companies to leverage open-source technology for faster, data-driven decision-making in regulated environments.Schedule a free consultation with our expert► https://www.appsilon.com/contact-us __________________________________________For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog:► http://appsilon.com/blogLinkedIn: https://www.linkedin.com/company/appsilon/ 
