NTT DATA Expands AI-Powered Platform for Global Infrastructure Operations

NTT DATA Scales AI-Powered Platform for Enterprise Infrastructure

NTT DATA1

1

is expanding deployment of its AI-powered platform to manage infrastructure operations across complex global enterprise environments. The platform integrates real-time monitoring, predictive analytics and intelligent automation to strengthen operational resilience, efficiency and visibility for large-scale organizations. Among its deployments, the platform now supports Daimler Truck, one of the largest commercial vehicle manufacturers2

2

.

Building Transparency and Automation at Scale

Abhijit Dubey, CEO and Chief AI Officer at NTT DATA, Inc., emphasized how the AI-powered platform increases transparency and automation to establish a foundation for greater stability and faster response times. "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 stated1

1

. The platform addresses the growing complexity of managing infrastructure operations across distributed enterprise networks while maintaining security and delivering measurable business outcomes.

Real-Time Monitoring Across Tens of Thousands of Devices

The integrated platform oversees both local and global enterprise environments, unifying service areas and delivering full visibility by monitoring tens of thousands of devices in real time2

2

. This unified visibility enables IT operations teams to track performance metrics continuously across manufacturing sites and production facilities. The platform enhances reliability and performance while optimizing capacity and resource utilization through data-driven insights. Coordinated hardware upgrades and lifecycle management maintain fast, reliable connectivity for users and production sites.

Predictive Insights and Automated Incident Processing

NTT DATA demonstrates capabilities including AI-driven predictive insights that identify potential disruptions before they impact production environments2

2

. The platform employs automated, multi-stage incident processing to accelerate resolution times and minimize manual tasks, reducing downtime and operational risk. This intelligent automation allows organizations to shift from reactive troubleshooting to proactive infrastructure management, particularly valuable for global enterprise environments where disruptions can cascade across multiple locations.

Implications for Manufacturing and Enterprise IT

The deployment for a commercial vehicle manufacturer signals how AI-powered infrastructure operations platforms can support industries with complex, geographically distributed production networks. As enterprises face pressure to maintain continuous operations while managing increasingly sophisticated IT architectures, platforms combining predictive analytics with intelligent automation offer a path toward future-ready infrastructure. Organizations should monitor how these capabilities evolve to handle edge computing environments and hybrid cloud architectures, where unified visibility becomes even more critical for maintaining operational resilience across diverse technology stacks.