Managing AI Projects: 6 Concepts to Help Lead an AI Team
Date read: 25th October 2025
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Key Points
- Understand why you are using AI:
- What does it bring that other technologies won’t?
- Make sure the team understand this
- Define architecture and understand where the AI fits in. It does not need to be end-to-end AI
- Understand the RL product life cycle:
- Understand problem + business value -> How do we model this? -> Which algorithms -> Train -> Test -> Deploy
- Short iterations with iterative improvements: deliver early and then improve. Communicate early and often.
- Start small, prove the concept and then scale up. Make sure you understand the constraints.
- Always try and understand the inherent biases