Structuring an ML Org for a DSP

1. 1Organize teams into pods instead of silos to improve collaboration
2. 2Identify key stakeholders and their roles in the model delivery process
3. 3Configure a feedback loop to ensure continuous improvement
4. 4Build a centralized model repository to track and manage models
5. 5Test and evaluate the effectiveness of the pod structure

Data science and machine learning teams in a DSP organization can benefit from this structure to improve collaboration and model delivery. This approach helps to break down barriers between different teams and ensures that models are delivered effectively.

💡 Using pods instead of silos can improve collaboration and model delivery in an ML org

💡 Structuring an ML org for a DSP? Try using pods instead of silos for effective model delivery!