✨Distributed Intelligence requires LiveContext as the carrier of distributed knowledge, whether that knowledge is derived from insights, decisions, or learning models.
The problem with the centralized approach is not just that knowledge creation is owned by a single technical team. But also, the data across systems and processes must be moved to a central location, often a data warehouse or lake, in order to query, aggregate, and extract information and insights for decisions.
The problem?
⭕ Decisions rely on constant data movement
⭕ Actions are delayed because the data and their pipelines are not ready
As data matures, the data pipelines get more complex and single points of failure and project delays.
Building and maintaining data movement is not free. It requires technical teams to manage multiple data pipelines and integration points. This not only delays projects and chokes agility, but is also very costly.
💣Additionally, the data movement and duplication introduce the compliance and decision governance issues.
…Because the decision is no longer based on the authoritative system of record.
💥We have created shadows of truth, not clarity.
The solution?
Using the LiveContext™ provides the decision-ready context through a semantic layer where data does not need to be centralized.
✅ No data movement and duplication.
✅ No complex data queries, just semantics and intent
✅ No data pipelines, so less fragility to maintain and worry about
Learn more about LiveContext at https://lnkd.in/gAtzMPjf
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Published June 23rd, 2025 at 07:30 am
