Journey to Resiliency: How AI & ML Improve Predictive Maintenance & Optimization

For several years, artificial intelligence (AI) and machine learning (ML) have been trendy buzzwords in the data center industry, offering the promise of an automated data center that is more resilient with a lower operating cost. The reality is, most data center operators are still living in a reactive world; chasing down problems, issues, and putting out fires. We’re all hoping that predictive maintenance driven by AI/ML will change that, but this has become a longer journey than stakeholders first realized. The first step in this journey is to identify where your organization sits on the path of reactive, preventative, proactive, or predictive maintenance. The next step is to develop a plan for migrating towards predictive maintenance driven by AI/ML that will optimize your data center while improving resiliency. This session covers the key hurdles you’ll experience on this journey. We will present examples on how to achieve higher levels of optimization and resiliency by utilizing real-time monitoring that infuses predictive tools driven by AI/ML. We will also provide the game plan and C-level decision criteria you’ll need to obtain approvals and lead your organization though this journey.