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NTT DATA Expands AI Platform Deployment to Elevate Global Enterprise Infrastructure Operations

Rebecca PY 21 hours ago
Digital business and technology services leader NTT DATA is scaling up the rollout of its integrated AI-powered infrastructure operations platform across complex global enterprise environments. The platform leverages real-time monitoring, predictive analytics, and automated incident management to enhance operational resilience and support large-scale industrial manufacturing clients including Daimler Truck.

MALAYSIA, 8 SEPTEMBER 2026 – Global artificial intelligence and digital technology services leader NTT DATA has announced the expanded deployment of its AI-driven infrastructure operations platform to serve large-scale enterprise environments across international markets.

The enterprise solution unifies real-time system monitoring, predictive analytics, and intelligent automation to strengthen operational resilience, optimize workflow efficiency, and deliver comprehensive infrastructure visibility. The platform currently manages complex global environments, including operational infrastructure for major commercial vehicle manufacturer Daimler Truck.

Designed to streamline operations across local and international environments, the platform bridges fragmented service areas and delivers continuous visibility by monitoring tens of thousands of connected devices simultaneously. It actively optimizes resource allocation and capacity utilization, while coordinated hardware maintenance and lifecycle planning ensure dependable connectivity for corporate offices and manufacturing facilities.

Abhijit Dubey, Chief Executive Officer and Chief AI Officer at NTT DATA, Inc., noted that the AI platform delivers greater operational transparency and automation to build a foundation for improved system stability, faster incident response times, and a resilient IT architecture. He added that the work with Daimler Truck demonstrates how the organization operates large-scale global IT infrastructure securely and responsibly while achieving tangible business goals.

The expanded deployment highlights several core operational capabilities, including real-time monitoring across complex manufacturing sites to maintain system stability, AI-driven predictive insights that identify potential issues before production is impacted, automated multi-stage incident processing that accelerates resolution times while reducing manual workloads, and an AI-orchestrated global delivery model that integrates localized technical expertise with centralized offshore execution.

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