How do they train their teams in the use of artificial intelligence and how do they approach the implementation of different technologies, whether commercial solutions like Anthropic or tools like Codex, as well as open source services within their processes?
I believe AI training should go beyond simply teaching specific tools. The key is developing criteria for identifying use cases, understanding the limitations of the models, and applying best practices for security and results validation. Regarding implementation, it's usually advisable to evaluate each technology according to the context: commercial solutions like Anthropic or Codex for their ease of adoption and support, and open-source alternatives when greater control, customization, or data privacy is required.