AI/ML operating models
The AI/ML operating model plays a crucial role in how an organization can achieve its AI maturity goals. It can have a profound impact across a range of key dimensions such as organizational agility, governance and standardization, resource and technology efficiency, domain expertise, risk management, and ownership and accountability.
Organizations will need to consider their unique organizational needs when deciding on the operating model for their AI initiatives. At a high level, there are three main operating models to consider: centralized, decentralized, and hub and spoke.
Centralized model
For organizations starting their ML journey and looking for efficient use of their scarce ML talents, they probably want to consider a centralized model, especially if the main goals are unified AI/ML strategy, consolidation of ML talents, and standardization of technology and tools.
In a centralized model, a single central team is responsible for all...
