Tech Mahindra (NSE: TECHM) announced on June 30, 2026 that it is teaming up with Microsoft to roll out a new Network Digital Twin solution aimed at modernizing telecom network operations. The offering leverages a suite of Microsoft cloud services—including Azure, Azure Digital Twin, Microsoft Fabric, and Microsoft Foundry—to create a unified, AI‑ready data layer that can ingest massive volumes of network telemetry in real time.
From simulation to autonomous decision‑making
The joint platform moves beyond traditional network simulation tools. By consolidating live telemetry with semantic data models and agentic AI, the system can not only visualize network behavior but also execute closed‑loop decisions across a multi‑vendor environment. The architecture is built for medium to large telecom operators that need to scale 5G services, such as network slicing and edge orchestration, while maintaining strict service‑level agreements.
“As telecom networks evolve to support increasingly sophisticated services and enterprise use cases, operators are under pressure to manage growing operational complexity while unlocking new sources of value from their infrastructure. Many continue to face challenges arising from reactive operational models, rising costs, and limited visibility into service performance, which can hinder scalability and the monetization of advanced 5G capabilities. Through our integration with Microsoft, we are combining digital twin technology, unified data intelligence, and agentic AI to help operators move toward autonomous network operations, improve service assurance, and create new opportunities for revenue growth through AI‑driven network innovation.**” said Amol Phadke, Chief Transformation Officer at Tech Mahindra.
The solution’s AI layer is designed to run predictive models and simulations on the fly, enabling operators to anticipate congestion, forecast equipment failures, and dynamically allocate resources. By exposing a cloud‑scale data estate, the platform also supports enterprise‑focused monetization models that depend on precise SLA monitoring.
Microsoft’s cloud stack as the backbone
Microsoft’s contribution centers on its Azure ecosystem. Azure Digital Twin provides the foundational semantic model, while Fabric supplies a unified data fabric for high‑throughput ingestion and analytics. The inclusion of Microsoft Foundry adds a managed environment for building, training, and deploying AI models at scale. Together, these components aim to reduce the operational overhead of maintaining separate analytics pipelines.
Power Tomorrow’s Intelligence — Build It with TechEdgeAI
