-1.svg "izo (1)-1")
The cost of inaction: Why enterprises need AI networking today
AI is a core driver of productivity, growth and competitive advantage. The pressure is on IT to move faster, scale reliably, and deliver impact. Here’s why you can’t stand still:
Failed AI initiatives pump the brakes of progression
88% of AI projects are scrapped before reaching production scale (IDC, 2025) because of low organisational readiness in data, processes and IT infrastructure
Silos of people, technology and data drag on your time-to-market
Fragmented infrastructure or legacy systems hinder enterprises from moving as swiftly as those with more modern architectures (McKinsey, 2025)
Soaring cloud costs are only heading one way
Managing spend is the top cloud-related challenge for 84% of IT decision-makers. These costs will only grow as AI expands.
Risk of IP theft grows with every new point of exposure
Distributed AI estates expand enterprises’ attack surface, increasing the risk of intellectual property and data theft.
Competitive disruption continues to accelerate
91% of global IT leaders are increasing the IT budget allocated to networking (Cisco, 2025) – infrastructure becomes more important to operationalise AI.
Discover how to evolve your network for AI in the next networking era.
This paper explores how enterprises can take action in the face of rapid change.
The 3 ‘non-negotiables’ for AI-ready networks
Intelligence and autonomy
AI-driven orchestration and full-stack observability in a single view for complete control.
Elastic scalability
Bandwidth on demand, across every network and cloud, provisioned in seconds.
Security and sovereignty
Embedded SASE and ZTNA with continuous threat detection across 8,000+ intelligence centres.
The AI infrastructure making it work in the real world
Tata's AI Network Fabric unifies enterprise networks, optimising AI workloads with multi-cloud connectivity and high-throughput GPU networking, eliminating east-west traffic bottlenecks.
The 4 network advantages for AI-ready businesses
The 4 network advantages for AI-ready businesses
Accelerate AI deployment from pilot to production: Network readiness is the differentiator
-
- Infrastructure gaps are what keep most AI initiatives stuck at the pilot stage
Cut through the approvals, delays, and firefighting slowing you down
-
- Automation and integration remove the friction that holds teams back
Cut cloud egress charges by 30–50% with correctly architected networks
-
- Eliminating unnecessary cross-region data movement reduces costs at source
Resilient and future-proof: Build a network that withstands disruption by design
-
- Automation, segmentation, and deterministic routing keep operations steady
300,000 miles advantage in a globally programmable private backbone
As AI workloads scale, performance is not just about compute – it relies on how data moves across the whole network. If AI is a high-performance car, the network is the road it runs on.
Tata Communications' network fabric for AI workloads
