Published in March 2021, this archive overview described machine learning as one response to the operational changes of the pandemic. It focused on healthcare, finance, media, retail and manufacturing.
Healthcare examples included research and the organisation of clinical information. Finance focused on risk and fraud. Media services explored content recommendations, while retailers worked on demand, inventory and customer behaviour. Manufacturing connected sensor data with maintenance and process decisions.
The original coverage, drawing on Analytics Insight material, described areas expected to attract attention during 2021. Those expectations should not be read as proof of subsequent results. Across the sectors, the practical challenge was similar: connect data to a specific decision, establish how success will be measured and make the system usable within an existing workflow.
This September 2021 archive article examined where AI could fit into everyday enterprise software. Its examples were tied to operational decisions: what to stock, when to service equipment and how to plan work.
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.
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