Insights

Notes on data, artificial intelligence and the architecture of enterprise platforms.

Artificial intelligence7 min read

Why enterprise AI needs a platform with data, model, agent and governance layers rather than a scattering of disconnected models.

Banking technology6 min read

When one customer has five identities in five systems, no report, decision or customer experience can be trusted.

Banking technology8 min read

Authentication is only half the problem; governing who should have which access, and why, is the harder half.

Platform architecture7 min read

API gateways and events are not rivals; one answers the question now, the other tells everyone what has just happened.

Data6 min read

A 360-degree customer view is not a dashboard; it is the product of a party master, a data lake and an analytics layer working together.

Smart city5 min read

Computer vision turns a car park from a physical space into a data stream, provided the architecture behind it is designed properly.

Smart agriculture6 min read

Sensors are the easy part of smart agriculture; the hard part is turning thousands of readings into a decision a farmer will trust.

Blockchain7 min read

When a water right becomes a transferable, auditable digital record, it changes from a paper document into a resource-management tool.

Data7 min read

A data lake is not a place to dump everything; with the right governance it is the layer that turns raw data into an enterprise asset.

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