Many organizations are investing in AI, yet a large percentage of these initiatives fail to reach production. The reasons often extend beyond the technical aspects of the models used.
An AI readiness assessment can provide insights into the organizational factors that influence the success of AI projects. This includes evaluating data quality, team skills, and alignment with business objectives.
By understanding these elements, enterprise data teams can better position themselves to implement successful AI strategies and avoid common pitfalls.