Data Center World 2025
Outgrowing Legacy: Building Intelligent DCIM for the AI Era
Jad Jebara (President & CEO, Hyperview)
Location: Room 206
Date: Tuesday, April 15
Time: 2:00 pm - 2:50 pm
Pass Type: AFCOM Solution Provider, All Access Conference, Industry Conference, Standard Conference - Get your pass now!
Track: Emerging IT & Data Center Technologies
Session Type: Conference Session
Vault Recording: TBD
Audience Level: All Audiences
The era of legacy DCIM tools is coming to an end. With AI and Generative AI pushing the boundaries of data center operations, the need for smarter, more dynamic infrastructure management has become critical. Traditional DCIM systems, designed for static environments, struggle to meet the real-time demands of AI workloads, resulting in inefficiencies, limited scalability, and decreased performance. In this session, we'll explore how next-gen DCIM solutions are being redefined for the AI revolution, offering a roadmap to transform and modernize your data center operations. Attendees will learn how AI-optimized DCIM platforms address the limitations of legacy systems, enabling enhanced automation, real-time insights, and scalability to meet future demands.
Takeaway
Why legacy DCIM systems are failing in the face of AI-powered workloads: Learn about the limitations of static systems and how they struggle to keep up with the dynamic requirements of AI and machine learning-driven environments.
The essential features of next-gen DCIM tools: Discover how AI and Generative AI are driving the evolution of DCIM, with features like real-time monitoring, predictive analytics, and automated decision-making.
Actionable strategies for modernizing your data center: Gain practical insights on transitioning from legacy systems to AI-centric, cloud-native platforms, ensuring scalability and resilience in the evolving tech landscape.
How to future-proof your infrastructure: Learn the key imperatives for integrating AI-centric DCIM solutions to ensure your data center thrives in the face of rapid technological advancement.