Generative AI has taken companies and individuals by storm. The unexpected wave of Large Language Models (LLM) and continuous news from OpenAI, Microsoft, Google, Meta, and Hugging Face have positioned Generative AI as one of the top priorities for many forward-thinking organizations and executive teams, but experienced talent is scarce and use cases are still evolving. What's the best way to prepare a talent acquisition and development strategy in this changing context?
Key discussion points:
- The Generative AI skills gap for most organizations
- Internal talent development from other technical roles (QA, dev, data sci/eng)
- Internal research and experimentation with new Gen AI technologies
- Anticipating other talent needs (AI regulation experts, etc)
Taso Du Val , CEO Toptal, fireside chat with Adrian Gonzalez, Product Manager, Toptal