Bridging the Generative AI Talent Gap | Upskilling in Your Organization

According to DataCamp, 62% of organizations report an AI skills gap. While generative AI is revolutionizing industries by enabling organizations to re-imagine the art of the possible, effectively navigating this landscape requires significant workforce skills transformation. Bridging the talent gap is essential for organizations to harness the potential of generative AI and drive innovation fully.

In this webinar, Adel Nehme, VP of Media, will discuss the state of the AI skills gap, introducing a comprehensive framework for upskilling all learning personas within your organization. Moreover, he will introduce best practices for bridging the talent gap, relying on tactics and strategies adopted from DataCamp for Business customers.

Key Takeaways:
- Gain a clear understanding of the current generative AI talent gap and the specific skills in high demand
- Get introduced to DataCamp’s data & AI competency framework, including learning personas and the AI skills they need to succeed in their roles
- Discover data & AI upskilling best practices curated from DataCamp for Business customers

[LiterateProgramming]

Thank you for your answer on "how to identify [lasting] skills": your suggestion to focus on meta skills (rather than individual tools) is good though of course at the job level, you need the tool-based skills. I thought you might have said that data science and programming skills are still important as the foundation - or put differently that one cannot hope to understand AI without such a foundation. & Txs for the stats, which I'll use in class and for faculty communication!