How HPE Is redefining hybrid cloud for the Al-driven enterprise

HPE India's Nilotpal Kumar Dutta outlines how AI is accelerating hybrid cloud adoption, detailing GreenLake, AIOps, and key acquisitions that help enterprises simplify operations, control costs, and modernise infrastructure for large-scale AI workloads.

- By Punam Singh

As artificial intelligence reshapes enterprise IT, hybrid cloud has emerged as the foundational architecture enabling scalable, data-driven innovation. In this interview, Nilotpal Kumar Dutta, Industry Vertical Sales Leader at HPE India, explains how HPE's GreenLake platform, strategic acquisitions, and AIOps-led approach are helping organisations simplify complexity, optimise costs, and prepare their infrastructure for large-scale Al adoption in a rapidly evolving hybrid world.

Looking at the current industry landscape, especially how the ICT industry is evolving with artificial intelligence, we have moved rapidly from discussions around agentic AI to actual enterprise deployment. With this pace of advancement, how is AI acting as a catalyst for the hybrid cloud ecosystem, particularly for enterprises?

If you look at any large enterprise and analyse how it is structured, you will see factories running applications, applications hosted on public cloud, applications in data centres, and applications running at dealer outlets or branch locations. Anything outside the core data centre effectively becomes the edge.

Applications are spread across the organisation. Today, if you want to run an AI use case, you will either run it at the edge, on the shop floor, or where the customer is interacting with the business for real-time analytics, or you will run it in the data centre on core enterprise data. In essence, AI use cases need to run across the organisation, and they need access to data that is distributed across the organisation.

If you want to run an AI use case in a specific area, you still need to leverage data residing across the enterprise. This requires a robust hybrid infrastructure.