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The Context Lake: From Low-Code Workflows to an Organizational Memory
Learn how to build a centralized Context Lake, then use low‑code Zapier automations or an AWS event‑driven service to push or pull just‑in‑time information.
Our digital tools create endless streams of information, but the context—the “why” that connects them—is often lost. This talk introduces the “Context Lake,” a powerful architectural pattern for creating a centralized, queryable memory from your company’s scattered data sources.
I’ll demonstrate two ways to leverage this lake to create and deliver dynamic “Context Packages”—bundles of just-in-time information.
The Active Approach (Push): Use low-code automation platforms like Zapier to listen for events in your tools and automatically push relevant context where it’s needed most.
The Memory-First Approach (Pull): Architect a scalable, event-driven platform on AWS that serves as a deep, searchable knowledge base, allowing you to pull rich context on demand.
Generative AI blueprint defines an augmented OS architecture solving organizational Contextual Debt.
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