Data center AI: Start with the end in mind

An artificial intelligence (AI) strategy for data center management and operation requires more than just data and some very smart humans. Selecting specific use cases and understanding the types of data that influence AI outcomes — and then validating those outcomes — will be key if the needs of the business are to be met.

By focusing on specific use cases, early successes can then be scaled, and further value can be extracted incrementally. Managers don’t need to be AI experts, but Uptime Institute does recommend that they understand the fundamental depth and breadth of the AI being applied. Doing so means they can better determine how much data is required and how the AI will be using the data, which will be critical when validating results and recommendations.