Monitor application KPIs and performance for resource management to identify issues before they become widespread or too costly

Protecting the privacy of individuals as part of mapping data generation is a growing regulatory and media imperative. Typically vehicles mounted with sensors drive the streets to be mapped capturing images that include faces and number plate data. Automatically obscuring this is a necessity for the huge processing scale at which digital mapping outfits operate.

Machine learning can be use to generate works of fiction - the algorithm will recreate common patterns of wording in a way that implies artistic output. However, the machine does not understand what it has created - and there remains significant scepticism as to the average quality of output. It may be argued that this is a broader issue of what constitutes art.

AI-enabled visual recognition through camera phone (e.g. Google Lens) enables a host of other consumer applications, as well as potentially creating new service support for differently abled consumers

Understanding the link between digital spending and real world reactions by consumers - in this case seeing an online ad and then going in to a store - is one of the holy grails of advertising. Machine learning makes the inherent data scale and connections behind this manageable. However, getting the right partnerships and data capture approach as well as consumer acceptance and data privacy right will be the key to long term commercialisation.

Optimise online search results - possibly the most frequently experienced form of AI for consumers. Frequently the optimisation is focused on maximising commercial marketing returns.

Match expectations from both sides of a 2-sided online market. Typically this goes beyond simple price matching and includes a variety of other variables that may have different levels of weighting to market participants.

Network packets must be correctly identified and routed in order to maintain network functionality including controlling traffic flow, operationalising firewalls, and measuring networks.

Personalise search results for individual's preferences. A key question is who sets these - ideally it is the individual's needs that do so rather than the need to optimise the commercial serving of advertising.

Minimisation of compute resources to achieve low latency and reduced energy usage. This will be a critical of growing Edge computing applications.

While intended to assist the hearing impaired, this may have additioanl widespread applications. The technology must work in real-time and may be used on portable devices, which adds the challenge of limited available compute power.

Assist developers by using AI to help them accelerate code development by automatically spotting errors

Leverage speech library-SDK-APIs to quickly and cost-effectively to quickly and cost-effectively build new applications and system deployments.

Leverage image recognition library-SDK-APIs to quickly and cost-effectively build capacity and support new system deployments.

Leverage speech recognition library-SDK-APIs to quickly and cost-effectively build new applications and system deployments

Leverage deep learning library-SDK-APIs to quickly and cost-effectively build capacity and support new system deployments.

AI can be used to automate aspects of project management such as reporting, progress tracking, version control, production roll out, resource estimation, risk prediction etc

AI writes code autonomously usually within set parameters to enable rapid scaling of new applications and tools

Leverage Natural Language Processing library-SDK-APIs to quickly and cost-effectively build new applications and system deployments.

Automate testing of web applications and apps as part of continuous development - opportunities include ensuring less downtime and continued business improvement as well as potentially A/B testing at scale

Knowledge management systems can be configured to predict and provide relevant information at an apporpriate moment based on different indicators such as calendar or other contextual information. This has the potential to signifciantly improve user efficiency and effectiveness - and occasioanlly disorientation (although typically such a feature can be disabled in standard software configurations).

Personalise screens, reports and dashboards for IT development team members depending on the role - different functions will receive information optimised to their needs.

Frequently, currently in parallel with human QA team software is tested pre-launch for potential issues - especially where it might have an impact on other software in the stack. The AI enables a wider variety of relationships to be tested than humans alone can perform, frequently at a far faster rate.

Identifying the source language of text is crucial for both decrypting ancient languages that we cannot understand and for modern translation purposes. Symbols and ancient alphabets can be identifies through the use of machine vision.