The March 2021 archive explored how companies used AI around customer experiences. Examples ranged from digital financial tools and leisure-venue ticketing to video discovery and delivery planning.
The common aim was to reduce friction: help customers find relevant content, manage visitor demand or plan deliveries more effectively. The original coverage referred to providers including Convious, Media Distillery and Plotwise as examples of these approaches.
These examples represent different tasks, rather than one universal customer-service model. A recommendation system needs relevant choices; a delivery planner needs workable routes and reliable arrival information. The useful question is whether the system improves the customer’s task and how that improvement is measured. This archive summarises the 2021 examples without treating vendor descriptions as independently verified performance results.
The original November 2022 explainer introduced three terms often grouped together under artificial intelligence: narrow AI, general AI and superintelligence. They describe different levels of capability, rather than three interchangeable labels for the same technology.
Our October 2022 industry overview looked at five areas exploring machine learning: healthcare, transport, finance, retail and property valuation. Each used prediction or pattern recognition, but with very different data and consequences for mistakes.
The October 2022 archive explored how computer-aided systems could support clinicians by organising images, records and monitoring data. Its central theme was assistance with information-heavy work, with diagnosis and treatment remaining clinical responsibilities.
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