As AI shifts from model-centric to agent-centric, the operational data layer storing unstructured data, vectors, and conversation memory becomes critical infrastructure; MongoDB's scale-out…

French and EU regulations mandate data residency, compelling large enterprises to run AI workloads on-premises rather than public cloud — creating structural demand for databases that opera…

The agent economy is generating unprecedented data volumes — each agent creates continuous streams of unstructured data requiring real-time storage, vector search, and memory retrieval — cr…

As AI generates code, the marginal cost of innovation drops and experimentation cycles compress; companies must pivot roadmaps weekly based on customer feedback rather than annual planning,…

Large enterprises are building agentic stacks with 50+ components (LLMs, frameworks, vector DBs, guardrails) but have not yet deployed customer-facing agents at scale; architecture complexi…

Customers deploy a heterogeneous mix of open-source (Hugging Face, domain-specific) and proprietary models (OpenAI, Anthropic) based on use case; coding agents favor closed models, while sp…

Space-based compute with continuous solar power could bypass terrestrial energy bottlenecks; SpaceX already building ground data centers for Anthropic and exploring orbital capacity — physi…