Data Center Ops: How AI And ML Are Boosting Efficiency And Resilience
VentureBeat, April 13th, 2023
Data centers must deliver more granular, real-time data to keep retailers' operations resilient, responsive and online despite potential security and outage threats.
Unpredictable supply chains, chronic labor shortages, spiraling inflation and energy costs are just a few of the challenges that retail CIOs and senior management teams face when optimizing their data centers.
AI and machine learning (ML) can help identify how existing data centers can be redesigned to make them less rigid, siloed and more reliable. One of the key goals of using AI and ML is to troubleshoot why so many outages are occurring on-premises and in the cloud. Add to that the spiraling costs of electricity and energy costs with the need to optimize data center performance for aggressive sustainability performance targets, and data centers become a perfect use case for solving complex problems with AI and ML.