Facilitating the conception and operationalization of AI projects across the enterprise is a test, first in foremost, in orchestration. Sure, having the right technology helps, but even the right tools can’t enable people at all levels to use data and execute AI projects on a day-to-day basis without some serious organizational change management and process oversight. That’s where operating models, including the center of excellence (CoE) come in.
Whether the organization is embracing a centralized or hub and spoke model (as detailed in the infographic below), there are a few best practices that can kickstart AI efforts more smoothly, ensuring long-term success. Get the full guidebook Best Practices for a Successful AI Center of Excellence to go further.