The March 2021 automotive overview covered a mix of vehicle capabilities and service models. It grouped predictive maintenance, connected homes, automated driving, navigation, vehicle-to-vehicle communication, biometric seats and cars as a service into one industry snapshot.
Some examples concerned understanding the car itself, such as using component data to anticipate maintenance. Others connected it to surrounding systems: traffic information, nearby vehicles or devices at home. These applications involve different hardware, communications and software dependencies.
The article brought together established features and developing ideas. Their inclusion did not mean they were equally mature or available in every vehicle. Preserving the 2021 framing helps separate the industry’s expectations from demonstrated deployment. It also shows why automotive software requires attention to the complete system rather than a single feature.
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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