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Fresh Enough for an AI Agent? The Data Freshness Budget Nobody Defines
Most teams talk about AI context as a storage problem. The harder question is whether the data is fresh enough for the action the agent is about to take.
Why 85% of Enterprises Aren't Ready for AI
Fivetran's 2026 benchmark found 85% of enterprises running agentic AI on infrastructure that isn't ready. The model isn't the problem. The data pipelines feeding it are.
The Hidden Costs of Building Your Own Batch-Streaming Integration Layer
With AI-assisted coding, building your own data pipelines looks cheaper than ever. But the real costs aren't in the initial build—they're in the maintenance, the on-call rotations, and the accumulated complexity that compounds over time.