Data is Back: MongoDB, Databricks, Snowflake

Data serves as the foundational, unsung hero of the AI supercycle, requiring robust, real-time infrastructure to support the next generation of agentic applications. As hyperscalers face capacity constraints, large enterprises are increasingly pivoting back to on-premise data centers to ensure data sovereignty and meet strict regulatory requirements. MongoDB CEO CJ Desai emphasizes that while AI models dominate headlines, the underlying data layer remains critical for scaling agentic workflows. Currently, enterprises are in an experimental phase, managing complex architectures that integrate various LLMs, vector databases, and security guardrails. Despite the rapid pace of innovation, the industry lacks standardized agentic frameworks, forcing companies to build custom, highly secure solutions. Ultimately, the ability to manage unstructured data efficiently and maintain control over proprietary information is driving a significant shift in enterprise infrastructure strategy.