Vertiv India Leverages AI to Drive Infrastructure Efficiency, Uptime and Customer Value

SHRIRANG DESHPANDE
General Manager- Strategic Planning Vertiv India

Evolving Marketing Strategy for the AI Era

At Vertiv India, we follow a customer-centric go-to-market approach tailored to each segment's needs. We engage directly with large enterprises, telecom operators, and colocation providers to understand their infrastructure requirements and deliver solutions aligned with their business outcomes. For mid-market enterprises, we leverage a channel-driven strategy, working closely with system integrators and partners to extend our reach and deliver measurable value at scale.

Technology-driven Trust, Partner Ecosystems, and Customer Experience

AI is embedded across how we build, support, and communicate around our infrastructure. We have developed sovereign AI models built to support our business context, improving internal productivity, customer response times, and the quality of technical collateral our teams produce.

On the services side, Vertiv Next Predict applies AI-powered predictive maintenance through continuous equipment monitoring and anomaly detection to flag early deviations from expected performance. Root cause analysis prioritizes response based on operational risk. Rather than replacing service engineers, it provides them with earlier, more precise signals to act on. This builds trust with partners and customers through predictability and uptime backed by data.

We are implementing next generation AI analytics tools to improve efficiency metrics like time to first token for deployment speed and tokens per watt as compute density in AI infrastructure continues to rise. Visual AI for quality control improves productivity and cycle time. Across all of this, the goal remains consistent: use data to make infrastructure more predictable and support decisions with evidence, not projections.

Brand Positioning in Competitive Market

We differentiate through four core priorities. First, we design converged infrastructure solutions that span field to factory rather than addressing each domain separately. Second, we develop reference architectures aligned with current and anticipated silicon generations, ensuring designs remain relevant as compute requirements evolve. Third, we adapt our offerings rapidly for new silicon generations, directly supporting faster deployment and improved performance. Fourth, we continuously optimize our capacity footprint and supply chain to deliver reliable, on-time fulfilment.

These priorities converge on a single differentiator: consistency. We design for what's coming and back that commitment with the supply chain discipline and operational execution to deliver.