Insights
Ideas and practical thinking at the intersection of AI, engineering and enterprise transformation.
1 article
perspective
AI is already helping people solve everyday problems—from spotting unusual financial activity to answering customer questions. Here are practical examples of how it’s being used across industries.
Read perspectiveA practical reading lens
When considering a technology perspective, connect it to your operating context before deciding what to do next.
Name the decision you are trying to make: whether to modernize a system, improve a data foundation or explore an AI use case. Read with that question in mind.
Look for assumptions about information quality, people, infrastructure and oversight. An approach worth exploring in one setting may need a different starting point in yours.
Turn the idea into something you can examine: a process to map, a dependency to understand or an acceptance criterion to agree. Separate an aspiration from evidence of an outcome.
Continue exploring
Choose a service when you know the capability you need, or an industry when your starting point is the operating environment.
Service pages outline areas to discuss, possible delivery considerations and useful questions. Industry pages provide context for the needs of different sectors. Neither replaces an agreed project scope.
If there is no published article on your topic, the directories offer another way to frame the challenge. You can use what you find to describe the systems, people and decisions involved in your enquiry.
Let’s start a conversation
Share the decision, the context and the uncertainty you would like to explore.
