Strategic Data Platforms for Hybrid Cloud: Enabling Scalable Advanced Analytics, AI, and Agentic AI Capabilities

This IDC Perspective highlights significant trends in the adoption of modern data platforms, driving seamless AI/ML integration, workload optimization, and cost-effective, scalable deployment across hybrid cloud, on-prem, and edge environments. A hybrid cloud strategy ensures AI is embedded across core systems, optimizing workload placement, performance, and compliance. For data platforms, data integration, multimodal support, security, analytics readiness, deployment flexibility, and cost-effective pricing models are keys to drive AI modernization."As organizations adopt AI and GenAI, they are increasingly focused on building scalable hybrid cloud architectures that balance strong governance, data accessibility, and security. Selecting the right data platform is key to enabling seamless movement, management, analytics, and AI capabilities across both on-premises and cloud environments," says Deepika Giri, AVP, Research, IDC Asia/Pacific.