“India’s Enterprises Scale AI Agents: Infrastructure Gaps Threaten Production Rollouts” — what this page in the network covers. Indian enterprises are rapidly moving artificial intelligence agents from pilot projects to full-scale production, but legacy systems, fragmented data, and infrastructure gaps could derail these efforts. According to industry analysts, many organizations are discovering that the compute, storage, an Analytics India Magazine Oct 29, 2026 • 10:28 AM According to industry analysts, many organizations are discovering that the compute, storage, and networking foundations built for traditional workloads are not optimized for AI’s intensive demands.
This mismatch risks slowing down deployments and eroding the expected return on investment. The challenge is particularly acute in sectors like banking, manufacturing, and retail, where decades-old IT systems still handle core operations. Integrating AI agents with these systems often requires costly middleware and custom connectors, while data silos prevent models from accessing the unified, high-quality datasets they need to perform reliably. This listing links straight to the original page, where the content is available in full.