Tata Communications introduces software-defined platform for automated data centre connectivity
Offers AI-led capacity planning, unified control via APIs, and claims over 99.99 percent availability across global networks.
The platform targets enterprises operating in distributed, AI-driven environments, where large volumes of data move in real time across multiple locations and cloud ecosystems.
Traditional data centre-to-data centre connectivity models are built for predictable traffic patterns and stable workloads.
However, increasing reliance on AI workloads, real-time processing, and globally distributed infrastructure has created new challenges around network resilience and performance.
The IZO platform introduces a self-healing network model that uses deterministic multi-path routing to maintain performance and availability.
In the event of disruptions such as cable outages, route failures, or sudden traffic spikes, the system automatically reroutes traffic within seconds without manual intervention.
Tata Communications’ EVP, core and next-gen connectivity services and CTO, Genius Wong, said, “Data centres are the core engines of today’s digital economy, and the connections between them must be as resilient as the networks that connect them. They must be just as dynamic as the applications they support. With IZO DC Dynamic Connectivity, we are shifting resilience from a reactive process to an autonomous capability.”
“By combining global reach, deterministic routing and intelligent automation, we are enabling enterprises to build a digital foundation that scales with confidence and operates without disruption,” Wong added.
Designed to minimise downtime
This approach is designed to minimise downtime and reduce operational risk for mission-critical applications.
Tata Communications claims the platform can deliver over 99.99 percent service availability across enterprise networks.
The platform connects key data centres across five continents, enabling enterprises to manage connectivity across geographically distributed infrastructure from a unified layer.
It also provides a digital interface and APIs that allow enterprises to monitor network performance, receive alerts, and dynamically scale bandwidth based on workload requirements.
Users can add routes or increase capacity through self-service capabilities, reducing reliance on manual provisioning.
The system includes AI-driven predictive insights that help enterprises forecast capacity requirements and plan network usage more effectively.
This enables organisations to respond to changing workload demands without overprovisioning infrastructure.
Tata Communications has also introduced a consumption-based pricing model for the platform.
Enterprises can activate bandwidth and resilience features as needed, instead of maintaining idle backup capacity. The company claims this can reduce operational costs by up to 30 percent.
The launch reflects a broader shift in enterprise networking, where connectivity is evolving from static infrastructure to a more dynamic, software-defined layer that can adapt to changing workloads and business requirements.
As enterprises scale AI deployments and expand across regions, demand is increasing for network architectures that can ensure consistent performance while reducing downtime and cost.