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Save the date for Data Center World 2023: May 8-11, 2023. 

Data Center World 2022

Data Center World delivers expert strategy and insight on the technologies and concepts you need to know to plan, manage, and optimize your data center. Data Center World 2022 educational conference programming is focused on the rapidly advancing data center technologies like edge computing, co-location, hyperscale, and predictive analytics - all within a rapidly changing global business climate -- in order to give attendees a leg up on their competitors to become the new trailblazers of the data center. Click on session titles for full session descriptions. All times noted are in CST (Austin, Texas time zone).

Data Center Optimization for a Sustainable Future

Kevin Kent  (Founder & CEO, CFES)

Location: 6ABC

Date: Wednesday, March 30

Time: 3:30 pm - 4:20 pm

Pass type: All Access, Industry Conference, Standard - Get your pass now!

Track: Sustainability & Mission Critical Facilities Management

Session Type: Session

Vault Recording: TBD

Audience Level: All

Critical Facilities Efficiency Solutions

Data centers are undergoing constant changes as business needs are constantly evolving. When it comes to data center operations there is no such thing as an easy or simple change. Each change has a trickle-down chain reaction effect throughout the entire facility. Minimizing risk and avoiding unplanned outages often overshadows any attempts at optimization. As a result data centers are missing the mark and wasting energy by operating at less-than-optimal performance. Conversely, research shows an effective thermal & electrical optimization program could contribute globally to more than the equivalent of $1.7 billion in cooling cost savings & more than 3.38 million tons of CO2. The implementation of AI-driven machine learning software in data centers across the globe has allowed operators to free up stranded capacity while utilizing predictive analytics to significantly reducing risk while moving data centers to a more sustainable model.


Practical application of Predictive Analytics
Leveraging AI-driven machine learning software can reduce risk & raise profit
Becoming a more sustainable model reduces risk and TCO