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-Personalised design and production.
-Anticipating customer demand. for example,
retailers are beginning to use deep learning to
predict customers’ orders in advance.
-Inventory and delivery management
-Personalised financial planning.
-Fraud detection and anti-money laundering.
-Process automation – not just back office functions, but customer facing operations as well.
- Supporting diagnosis in areas such as detecting small variations from the baseline in
patients’ health data or comparison with similar patients.
- Early identification of potential pandemics and tracking incidence of the disease to help
prevent and contain its spread.
- Imaging diagnostics (radiology, pathology).
- Autonomous fleets for ride sharing.
- Semi-autonomous features such as driver assist.
- Engine monitoring and predictive, autonomous maintenance.
- Media archiving and search – bringing
together diffuse content for recommendation.
- Customised content creation (marketing, film,
music, etc.).
- Personalised marketing and advertising.
- Autonomous trucking and delivery.
- Traffic control and reduced congestion.
- Enhanced security.
- Smart metering – real-time information on
energy usage, helping to reduce bills.
- More efficient grid operation and storage.
- Predictive infrastructure maintenance.
- Enhanced monitoring and auto-correction
of manufacturing processes.
- Supply chain and production optimisation.
- On-demand production.
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