As we’ve moved our event dates to August 24-27, please note our Agenda will be updated frequently as we work with our speakers and panelists to schedule the best program possible for you. We appreciate your support and patience.
View, browse and sort the ever-growing list of sessions by pass type, track, and session type. With this Session Scheduler, you can build your schedule in advance and access it during the show via export or with the Mobile App, once live approximately 1 month prior to the event. For your schedule to sync properly with the mobile app, be sure to login to Schedule Builder.Agenda at a Glance
Paul Mott (Global Technical Product Manager, Raritan)
Date: Tuesday, August 25
Time: 8:00am - 9:00am
Pass Type : All Access, Standard
Track : Data Center Planning for Innovation
Session Type: Session
Vault Recording: TBD
The growth of AI and Machine Learning in datacenters is placing new demands on power. As AI applications demand more power, power infrastructures will need AI’s help to optimize power chains and meet new demands. Today intelligent PDU platforms monitor and collect datacenter data that provide tremendous insights about power usage, phase imbalances, overloaded circuits, excess capacity, and the environment such as temperature, airflow, vibration, and water leaks. Because PDUs and sensors can capture so much data, the result is a data tsunami and infrastructure data overload. The current approach to dealing with the onslaught of data has been to feed data into traditional DCIM tools to understand what is happening in the data center. But beyond DCIM, there are opportunities to apply machine learning to optimize a datacenter. The type of AI in a datacenter would provide additional insights, analytics, and some greater sense of awareness in managing resources.