Tech Mahindra, which is a renowned provider of digital transformation, consulting, and business re-engineering solutions and services, announced that it is partnering with Microsoft in order to present an AI-integrated 5G Network digital twin solution.
The AI-integrated 5G Network digital twin solution aims to assist communications service providers in upgrading their network processes, enhance service quality, and boost the commercialization of next-generation 5G connectivity.
It is well to be noted that the solution combines Microsoft Azure and Microsoft Fabric as well as Azure Digital Twin services so as to consolidate high-volume network telemetry information into a real-time, AI-ready data estate that can be used for sophisticated simulation as well as predictive modeling. The platform integrates Microsoft Foundry and Fabric IQ along with agentic AI frameworks to enable intelligent rational thought, self-sufficient decision-making, and tightly coupled coordination throughout network operations. It is targeted at large and medium-sized telecom operators who operate in complex, multiple-vendor networks and want to gain higher levels of operational flexibility and tangible business results. The approach will additionally allow telecom providers to expedite revenue generation of enterprise-focused services with SLA-driven offerings, like network slicing and edge orchestration, having upgraded service assurance and risk forecasting functionality.
As per Chief Transformation Officer, Tech Mahindra, Amol Phadke, “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.”
This solution will enable telecom operators to move from conventional network modeling techniques to digital twins at cloud scale, which integrate real-time telemetry and semantic intelligence, as well as AI-driven automation. The solution blends simulation and unified data management along with AI-powered operational intelligence to push digital twins to a new level, converting them from a visual layer into an interactive decision-making platform that is capable of delivering tangible business results in live network settings. The solution additionally allows data-led decision-making throughout the network lifespan to help maximize investments in infrastructure, optimize asset utilization, and improve governance standards while at the same time lowering operational costs.
According to Senior Global Director, Strategy, Microsoft, Alessandra Antonelli, “Tech Mahindra’s AI-powered 5G network digital twins bring real-time intelligence to even the most complex network environments. By combining Microsoft Azure, Microsoft Foundry, and Microsoft Fabric with Tech Mahindra’s deep telco expertise, operators can move from passive monitoring to active, intelligent decisioning, with agentic AI that reasons, simulates, and acts across live network environments in real time.”
The combination further reinforces the ability of Tech Mahindra to supply unique AI-led telecom solutions leveraging advanced cloud, data, and AI services from Microsoft. Further engagement with customers, co-go-to-market, and rapid development are also enabled. Customers will profit from the integration by gaining access to a secure, unified technology ecosystem that can accelerate the implementation of solutions that are scalable along with being operationally efficient and service quality-driven with business value creation.