Schneider Electric’s 2025 industry summit focused on data centers and exhibited presentations covering a variety of data center topics, along with a tour of its manufacturing facilities showcasing the company’s production and testing expertise, as well as the following in-depth topics and session:
- The data center landscape
How the rapid growth of generative AI has impacted data centers
- Where the company sees AI going
How the race for AI leadership is occurring at a national level, not just corporate; increasing power densities
Leveraging reference designs; emerging tech means developing best practices
Motivair providing a comprehensive portfolio in terms of products and global coverage; liquid cooling is new for a lot of organizations, so this experience and expertise in cooling infrastructure and deployment helps them answer customer questions and concerns
Unprecedented growth of AI driving data center challenges; need for data centers to be energy stabilizers, not just energy consumers
Schneider Electric no longer sitting in the background, starting to emphasize itself more; partnering with OEMs and chipmakers, since power drivers are growing closer to compute
Shortage of skilled personnel; growing demand (need is growing 7%) outpacing workforce (growing 1%); leveraging AI to increase the effectiveness of personnel and eliminate administrative tasks
Digitizing a data center requires a combination of DCIM, BMS, EPMS, ITSM, and more; no one right answer — there are many design trade-offs, and one is to support different needs with optionality
- What’s on the horizon for data centers
Discussion of several technologies, such as quantum, photonics, and AIOps
Key Differentiators
At the event, we saw a few key differentiators from others in the market:
- Power purchase agreements
The availability of power purchase agreements (PPAs), considering the demand for energy worldwide, makes Schneider Electric a strong consideration; its PPAs can make the difference between powering a data center in the next few months or waiting for a new power plant years down the line
The breakdown of roles and responsibilities between data engineers, data scientists, and subject-matter experts is clean, sensible, and scalable, making it easy to integrate with customers; similarly, Schneider’s layered view of AI in terms of assets, systems, and people should make it easier to deploy AI if customers are willing to follow its approach
If you have any questions about Schneider Electric or how its solutions address data centers and sustainability, please submit an inquiry request or reach out to your account team.