NTT DATA expands AI operations across enterprise IT environments

NTT DATA is expanding its AI infrastructure platform across global IT, cloud, SAP Basis, and network environments.

NTT DATA is expanding the deployment of its AI-based infrastructure operations platform across enterprise environments, including infrastructure operations for commercial vehicle manufacturer Daimler Truck.

The scope includes operations covering IT and cloud infrastructure, SAP Basis, and network environments worldwide, according to NTT DATA. The platform combines real-time monitoring, predictive analytics, and automation to manage local and global IT environments.

The platform is designed to provide a consolidated view of infrastructure operations while reducing manual work involved in monitoring and incident management.

AI monitoring and infrastructure operations

According to NTT DATA, the platform monitors tens of thousands of devices across different locations and service areas. It brings infrastructure data into a single operational environment to give IT teams visibility across distributed systems.

The company said the platform uses predictive analytics to identify potential infrastructure issues before they affect operations. It also uses multi-stage incident processing to automate parts of incident handling and reduce manual tasks.

NTT DATA said these capabilities are intended to shorten response times and reduce manual intervention. The company did not provide specific figures on downtime reduction, response times, or other performance improvements.

The platform also supports capacity and resource management across infrastructure environments. NTT DATA said hardware upgrades and lifecycle management are coordinated as part of the service to maintain connectivity across user locations and production sites.

SAP Basis covers the technical administration of SAP systems. SAP documentation lists system availability, backups, application servers, database performance, system logs, and resource usage among the areas handled by Basis administrators.

At Daimler Truck, NTT DATA said the deployment applies these capabilities across global manufacturing environments. Real-time monitoring is used to track infrastructure performance and identify operational issues, while predictive tools are used to identify potential disruptions before they affect production systems. Multi-stage incident processing is also used to reduce manual handling during infrastructure events.

The operating model combines on-site teams with offshore delivery resources. NTT DATA said AI is used to coordinate parts of the workflow across locations.

"Our AI-powered platform significantly increases transparency and automation, providing the foundation for greater stability, faster response times and a future-ready IT architecture," Abhijit Dubey, CEO and chief AI officer at NTT DATA, Inc., said.

"Our work with Daimler Truck is one example of how we can operate global IT infrastructures securely, responsibly and at scale with clear business outcomes," Dubey said.

Daimler Truck's wider IT overhaul

Daimler Truck completed a three-and-a-half-year IT carve-out in July 2025 after the separation of Daimler AG into Daimler Truck Holding AG and Mercedes-Benz Group AG.

Around 1,500 applications and IT systems were adapted, replaced, or decommissioned during the project. Daimler Truck also migrated 130,000 mobile devices, moved infrastructure supporting 15,000 servers to its own data center, and reduced its number of applications by 40%.

The changes affected about 100,000 employees, 55,000 dealers and sales partners, and 6,000 business partners, according to Daimler Truck. The company operates 35 main locations globally and reported an active workforce of about 108,500 at the end of 2025.

In its 2025 annual report, Daimler Truck identified system availability, information security, data integrity, and data protection among the risks associated with its reliance on IT systems and digital processes.

The NTT DATA announcement does not disclose how many Daimler Truck locations or systems are covered by the deployment. It also provides no figures for downtime reduction, incident-resolution times, infrastructure costs, or the share of incidents processed without human intervention.