Building AI-Ready Clouds with Governance at the core

Mayank Chaturvedi
Hybrid Cloud Solutions Sales Leader - HPE India

HPE India’s Mayank Chaturvedi asserts that AI is changing the way organizations think about cloud migration. “A few years ago, the conversation was largely about agility, scale, and cost. Today, customers are evaluating cloud decisions through a much broader lens that includes AI readiness, data governance, regulatory compliance, security, and long-term operational control.”

“In India, we are hearing this consistently from customers. Requirements driven by the DPDP Act, RBI and SEBI guidelines, growing focus on data sovereignty, and even geopolitical considerations are influencing where data resides, how it is governed, and who ultimately controls critical technology platforms. Organizations want to innovate faster, but they also want greater visibility and control over their data and operations,” Mayank adds.

TAILORING THE RIGHT CLOUD STRATEGY

It is true that cloud migration is no longer just an IT modernization project. “Before organizations can scale AI successfully, they need a strong data foundation with the right governance, security, and accessibility built in. We are also seeing a clear shift away from one-size-fits-all cloud strategies. Data, applications, and AI workloads often have different requirements, which is why many organizations are adopting a hybrid-by-design approach,” he says.

“At HPE, we believe successful AI transformation requires the right data, the right infrastructure, and the right operating model working together. Through the GreenLake platform, we help customers modernize their cloud environment on their own terms while maintaining control, resilience, and compliance. Looking ahead, the organizations that will be best positioned for the future are those that allows data, applications, and AI to work together seamlessly while maintaining control over security, operations, and costs," he says.