Insights Topic
Published INVISOM articles connected to data architecture.
6 articles
All insightsData ArchitectureTechnical Deep Dive
The open table formats have converged on the same features. What now decides whether your data stays open is which features you switch on, which engines can still read them, and which catalog protocol brokers access.
Cloud and PlatformsArchitecture Guide
AI programs fail on data and integration, which is exactly what enterprise architecture is meant to govern. The fix is not more framework. It is a handful of living artifacts that make data and AI decisions explicit, traceable and reusable.
Decision IntelligenceTechnical Deep Dive
Real time is a property of the decision, not the data. Pay for low latency only where the decision window demands it, and when you do, put most of the engineering into correctness at the point of action, because pipeline guarantees stop there.
Data ArchitectureComparison
The question is usually framed as a choice between four architectures. It is really two separate decisions: where data is stored and processed, and who owns and governs it. Most enterprises need an answer to both.
Data ArchitectureExecutive Guide
Leading models now score within a few points of each other. What an AI system can reach, how fresh it is, whose permissions it obeys and whether its answer can be traced are architecture decisions, and they now decide the outcome.
Trusted DataArchitecture Guide
A new platform does not unify a fragmented estate. Unification comes from choosing the right integration pattern for each data flow, agreeing a few shared definitions, and retiring point-to-point connections in a deliberate order.