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Transforming Data Center Operations in the AI Era

Data centers now power everything from fast food ordering to hotel check-ins. As AI adoption accelerates, modern enterprises depend on these infrastructures to support increasingly complex workloads. Any failure can cost businesses thousands of dollars per minute, making reliability and efficiency critical. To meet these demands, IT teams must move beyond traditional maintenance and adopt proactive, data-driven strategies that improve system reliability, reduce costs, and support AI-driven growth.

At the 2025 World Economic Forum (WEF), global leaders gathered under the theme ‘Collaboration for the Intelligent Age’ to address the intersection of AI, sustainability, and digital transformation. As one of the world’s most strategic forums, WEF convenes industry experts and policymakers to tackle critical challenges shaping the future. Discussions underscored the growing energy demands of AI, the need for sustainable digital infrastructure, and the urgency of an inclusive energy transition to ensure economic resilience and environmental responsibility. IT leaders are reshaping their data center strategies to contend with these dynamics.

Watch as LogicMonitor CEO Christina Kosmowski explores how organizations can harness AI-powered observability to prevent costly outages, streamline data center management, and align with the fast-changing digital landscape.

Key Topics Covered

  • The modern data center is the foundation for AI adoption, supporting high-demand workloads while ensuring scalability and efficiency
  • With AI-powered observability, organizations can prevent multi-million dollar outages by predicting failures and maintaining continuous uptime
  • As AI generates massive data volumes, cutting through alert noise is essential for IT teams to focus on mission-critical issues and improve response times
  • Making informed infrastructure decisions—balancing cloud and on-premises solutions—helps businesses control costs while aligning with sustainability initiatives
  • Industries like hospitality, agriculture, and quick-service restaurants are already leveraging observability to drive efficiency, remain competitive, and future-proof operations

Interview Highlights

On Data Center Monitoring

“We’re a leading SaaS and AI observability platform whose mission is to be the strategic partner to CIOs on their digital transformation journey. We monitor, end-to-end, the data centers that fuel and support this AI revolution.”

On Real Business Impact

“One of our customers [before they had LogicMonitor] actually had a four hour outage where customers could not place any orders. This was across the globe, and it cost them over ten million dollars, not to mention the customer satisfaction and loyalty experience that was impacted.”

On AI Tools for IT Teams

“We’ve launched a product called Edwin AI, and Edwin is essentially an ITOps teammate. It’s their helper. Edwin doesn’t sleep. He doesn’t go on vacation, and he’s able to quickly identify these issues to ensure that our customers are up and running.”

On Customer Success from Edwin AI

“Syngenta had over 12,000 alerts coming in each day. Think about the volume and the overwhelmingness of this. They had hundreds of people trying to figure out which alerts were relevant…We’ve been able to reduce that by over 90%.”