Why do AI projects fail in utilities?
Many utilities operate with legacy systems that are not compatible with the advanced requirements of AI tools. Upgrading to a scalable, cloud-based, and modern infrastructure is crucial for supporting AI integrations, managing large datasets, and ensuring reliable performance. Moreover, due to the large volume of data processing, utilities need systems with a single database and repository to ensure cohesion.