Edge computing is revolutionizing the IT industry by bringing distributed IT with a scalable number of micro data centers. This trend is driven by the increasing demand for digital transformation and the need for efficient data processing at the edge of the network. According to Natalya Makarochkina, the senior vice president of secure power division at Schneider Electric, AI data center workloads are growing at a much faster rate than traditional data center workloads, creating unique demands for data center design and management.

To keep up with the demand for digital transformation, organizations are expanding their IT and data capabilities. The UAE Digital Government Strategy 2025 is a prime example of how technology is being integrated into everyday life. As Gartner estimates, by 2025, 75% of enterprise data will be created and processed at the edge of the network. To ensure that edge deployments are as efficient as traditional data centers, new architectures and technologies, standardized designs, and cloud-based management systems are being implemented.

However, deploying at the edge also presents challenges. Poor resilience, cybersecurity concerns, and lack of remote monitoring and management are some of the issues faced with edge computing. To overcome these challenges, integrated systems, next-generation data center infrastructure management (DCIM), and a reliable ecosystem of partners are proposed solutions.

Sustainability is another key aspect of data center deployment. Data center owners and operators need to focus on energy efficiency and sustainability to reduce carbon emissions. Schneider Electric has partnered with the University of Birmingham Dubai’s to create an energy-efficient data center that operates at peak performance. To further promote sustainability, Schneider Electric has released a standard environmental metrics-reporting framework to help data centers measure their impact on the environment.

The data center industry views AI as a disruptor that requires a different approach to data center design and operation. AI workloads are projected to grow rapidly, leading to increased power demand and the need for more space and skilled workforce. However, AI also provides opportunities for building capacity and smart data centers. Digital twins, for example, allow data centers to operate more sustainably and accurately assess cost and environmental impact.

In conclusion, edge computing is transforming the IT industry and driving the need for efficient data processing at the edge of the network. Organizations are expanding their IT capabilities and facing challenges in deploying at the edge. Sustainability is a critical aspect of data center deployment, and AI is viewed as a disruptor that requires new approaches to data center design and operation. Schneider Electric is at the forefront of these developments, providing solutions to address these challenges and promote sustainable data center practices.