Today's Bulletin: September 25, 2026

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NTT DATA Expands AI-Powered Infrastructure Operations for Global Enterprises

September 24, 2026
2 min read

The platform combines real time monitoring, predictive analytics and intelligent automation to enhance operational resilience, efficiency and visibility. Deployment of these capabilities includes support for one of the largest commercial vehicle manufacturers.

NTT DATA,  a global leader in AI, digital business and technology services, is expanding the deployment of its AI-powered infrastructure operations platform to support complex global enterprise environments. The platform combines real time monitoring, predictive analytics and intelligent automation to enhance operational resilience, efficiency and visibility. Deployment of these capabilities includes support for one of the largest commercial vehicle manufacturers.

“Our AI-powered platform significantly increases transparency and automation, providing the foundation for greater stability, faster response times and a future-ready IT architecture. 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.”

– Abhijit Dubey, CEO and Chief AI Officer, NTT DATA, Inc. 

NTT DATA provides clients with an integrated, AI-powered platform to enable intelligent, data-driven operations. This platform oversees both local and global environments, unifying service areas and delivering full visibility by monitoring tens of thousands of devices in real time. It enhances reliability, performance and operational efficiency while continuously optimizing capacity and resource utilization. Coordinated hardware upgrades and lifecycle management help maintain fast, reliable connectivity for users and production sites.

 

Through this deployment, NTT DATA is demonstrating capabilities including:

  • Real time monitoring and visibility of global manufacturing environments to enhance stability and performance.
  • AI-driven predictive insights to prevent disruptions before they affect production.
  • Automated, multi stage incident processing that speeds up resolution and minimizes manual tasks, reducing downtime and operational risk.
  • AI-orchestrated global delivery model that integrates on-site expertise with offshore execution.
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