Tata Communications has introduced IZO Data Centre Dynamic Connectivity, a software-defined platform to help enterprises connect their data centres in distributed and AI-driven operating environments.
The need for continuous connectivity and stable data flows in support of operations means that among the metrics examined by potential buyers is reliability metrics. Financial systems, IT services, manufacturing processes, streaming platforms, and online retail depend on reliable links between data centres that could be spread over several continents. Interruptions in connectivity can reduce performance and in some edge-cases, stop operations altogether.
Software-defined networking is designed to circumvent issues at the network layer, ensuring higher-level traffic continues within acceptable operating parameters despite any underlying issues.
Data centre networks designed for relatively stable traffic patterns and predictable workloads differ from the optimum design for AI-related workflows, Tata Communications states. Enterprises in multiple regions and using multi-cloud move large volumes of data in support of AI during initial training, inference or secondary training. This situation increases the potential for disruption if AI-centric workloads form a central part of a business’s operations. The need for more reliable and faster connections in LLM environments is in addition to the omnipresent factors of cable faults and route failures.
In the event of failure or network routing problems, responses by DC operators and communication infrastructure companies may have to be manual and essentially reactive, with delays to recovery that could impact operations of users.
The software-defined IZO platform automates network management across data centres, using multi-path routing according to user-defined parameters. When disruptions occurs, traffic is redirected automatically by the SDN. Tata Communications states that this approach supports service availability above 99.99% for business-critical applications.
The platform has various management and user interfaces, and exposes APIs to let organisations monitor network performance, receive alerts, and make any adjustments they feel necessary. The presence of predictive tools on the platform help estimate future capacity needs. Routing can also be modified through the platform’s self-service model.
On a purely commercial basis, the potential for variable network use rates could save companies money. Enterprises can reduce unused capacity and adjust spending according to need, regardless of the presence of AI-related workflows. Tata Communications cites the potential to lower operational costs at up to 30%.
Mumbai-based Tata Communications grew out of the former state-owned VSNL, which was privatised in 2002 and later re-branded. It operates a Tier-1 IP backbone connecting 190 countries and provides connectivity, a range of cloud services, and DC infrastructure. In 2025, it launched a new subsea cable system linking Singapore, Hong Kong, and Japan.
The company’s Q1 2026 filings showed a growth in profits of around 55% over the previous 12 months, although only relatively moderate increase in overall revenue. Late in 2025, the company acquired a majority stake (51%) in Commotion, a US-based customer-facing marketing and support company. Industry observers state Tata Communications’ will use the acquisition to increase the presence of AI in its enterprise platforms.
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