In a closed-door session organized by CORE Media, in association with Tata Communications, technology leaders came together to discuss ‘Simplifying Hybrid Ecosystems for AI-Ready Enterprises’ and the growing need for agile, intelligent, and resilient digital infrastructures.
Digital transformation is no longer driven by technology alone. It is increasingly being led by business priorities, the need for agile infrastructure, and the pressure to respond quickly to evolving market dynamics.
There was a time when the common feedback across organizations was simple: “IT is slow.” Businesses struggled with lengthy deployment cycles, rigid systems, and limited scalability. But as customer expectations accelerated and competition intensified, enterprises realized that technology had to move at the speed of business.
Over the last decade, the technology stack has undergone a significant transformation. OEMs introduced their own management tools and platforms to simplify operations and deliver integrated management capabilities. While these solutions offered robust managerial suites and improved control within their own ecosystems, they often came with limitations around interoperability, flexibility, and scalability across multi-vendor environments.
Tata Communications’ Threadspan stands out for its ability to provide a real-time health report of the entire infrastructure through a single unified view of the technology stack. Whether there is an issue with a branch network, firewall, local server, switch, or even a plant application, the platform instantly detects anomalies and triggers alerts, enabling faster response times and proactive issue resolution.
Earlier, infrastructure was largely dependent on “eyeball monitoring,” where multiple technology components generated separate alarms and tickets for a single issue. For instance, if three different technology layers were impacted, IT teams would receive three different alarms and raise three separate tickets, making troubleshooting complex and time-consuming.
Threadspan simplifies this process through intelligent correlation. The platform automatically correlates alarms across interconnected technologies and creates a single ticket for the underlying issue, enabling faster root-cause analysis and streamlined resolution. As the issue gets resolved, the associated alerts and tickets are automatically updated and closed.
Addressing the challenge of problem simulation and analysis, Threadspan leverages topology-based intelligence to identify dependencies across the infrastructure. For example, if a database server experiences an issue, the platform can instantly trace the impact across connected applications, networks, and systems, helping IT teams isolate and resolve the problem proactively.
Another significant shift is the democratization of use cases, where engineers are no longer dependent on centralized teams for every operational insight or workflow change. With platforms like Threadspan, engineers can independently create correlations, analyze incidents, and derive actionable insights on their own. The tool empowers teams to take greater ownership of operations by enabling them to design custom business workflows, experiment with different use cases, and execute them seamlessly with measurable results. This not only improves agility and operational efficiency but also accelerates innovation across the organization.
Often referred to as a “single pane of glass,” the platform provides enterprises with a unified view of their entire IT ecosystem, enabling centralized monitoring, management, and faster decision-making. Today, the platform supports over 100 corporate customers across diverse industries.
To cater to varying enterprise requirements, it offers three flexible delivery models — dedicated, offsite, and hybrid — allowing organizations to choose an operating approach that aligns with their business needs.
One of the platform's key advantages is that it seamlessly rides over the existing technology stack without requiring major infrastructure changes or replacements. The platform not only enables automated ticket resolution for recurring and identifiable issues but also supports human intervention wherever required, ensuring that complex incidents can be addressed with the right balance of automation and expert oversight.
The platform-enabled service is designed to deliver proactive infrastructure and performance management across enterprise environments. It continuously monitors critical parameters such as CPU utilization, temperature fluctuations, and workload patterns, enabling systems to automatically optimize resources and adjust processing capacity based on operational demands.
The solution complements existing managed service provider (MSP) and information technology service management (ITSM) frameworks by enhancing visibility, configurability, intelligence, and standardization across the IT ecosystem. Whether deployed in on-premises environments or hybrid cloud infrastructures, Threadspan provides centralized monitoring and actionable insights, helping enterprises improve operational efficiency, resilience, and control.
The platform is built on three core pillars — observability, configurability, and intelligence.
From SD-WAN environments to branch offices and remote locations, the platform ensures that all devices, networks, and systems are functioning optimally in real time. Through a topological view, IT teams can visualize device dependencies, monitor performance, and quickly identify operational bottlenecks or failures across the infrastructure landscape.
The roundtable concluded with a strong consensus that AI is no longer viewed as a “black box” within enterprise operations. Instead, organizations are increasingly focused on enabling greater transparency by leveraging specific algorithms and intelligently correlating data across the technology landscape to achieve a more unified and consolidated view of the enterprise stack.
