Structuring an ML Org for a DSP

1. 1Organize teams into pods instead of silos to facilitate collaboration
2. 2Assign a product manager to each pod to oversee model delivery
3. 3Implement a cross-functional approach to include data scientists, engineers, and other stakeholders in each pod
4. 4Establish clear goals and objectives for each pod to ensure effective model delivery
5. 5Use agile methodologies to facilitate iterative development and feedback loops

Data science and machine learning teams can benefit from this approach to improve collaboration and model delivery. This structure is particularly useful for organizations working with Data Science Platforms (DSPs).

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

💡 Structure your ML org into pods, not silos, for effective model delivery #MachineLearning #DataScience