Best Practice AI Use Cases

Breaking security systems is a growing field of study by a variety of actors - often of the malignant sort. Whether predicting PIN numbers from acoustic signals or spoofing iris images this is a race between attack and defence.

Visually recreating people in detail to show them moving and/or speaking in video. The application can have positive results, such as bring artists who have passed away back in life in a digital form, but also negative ones, such as deepfakes, who have been used for spreading fake news.

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.

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

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.

Improving audio quality - for example by eliminating background noise or static - has numerous follow-on applications: helping deliver better outcomes from translation or hearing impairement support devices, delivering cleaner data for NLP products and providing better consumer experiences.

Sensors can be expensive, hard to maintain or simply unavailable for what can be important data. Using data from other sources can enable the predictive modelling of other data sets. Note that this can create a series of new risks, especially if historic patterns break down or feedback effects occur.

In a world where information is at anyone's fingertips plagiarism is a constant challenge, especially in academic circles. NLP can be used to match content and identify suspect material.

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

Researchers are taking advantage of computational power to analyse vast amounts of data on drugs and their interactions. Enhancing the drug research process by advancing data mining, integration and analysis as well as testing can result in quicker drug and cure discovery for known diseases.

Synthetic datasets is a way for researchers to train machine learning programs when sufficient real-world data is unavailable, difficult to obtain, or raises ethical or privacy concerns. Certain use cases for AI lend themselves better to synthetic datasets than others.

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

Global distribution and connectivity relieson increasingly accurate mapping to optimise supply chains, distribution and access. Using satellite and other remotely captured images it is increasingly possible to build accurate maps at scale and provide addressing schemes in underserved areas.

Predict migration volume based on different data sources and indicators. This can aid country policymakers and NGOs to prepare for changing migration patterns.

To ensure legal compliance with variosu age restrictions technology can abe used to analyse facial features and determine or predict a person's age. This can help retailers automate the selling of age-restricted items, such as alcohol or tobacco.

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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.

Across large text datasets - for example, historical archives - there will be trends or insights that can be analysed but which it would take a human observer too much time to process. Although still at a relatively rudimentary stage this will become an increasingly powerful tool for creating new insights and levels of knowledge.

Optimising matches between transplant patients and donors benefits all patients across the transplant waiting list as it results in more saved lives. For example, through paired kidney donations, AI is able to identify potential donors and recipients who are biologically suited for one another and can take into account certain criteria to optimise the service such as prioritising the hardest to match patients.

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

Real time information such as images or live footage can provide information on crowd flow in areas where congestion is undesirable (e.g. airports or train stations). Machine vision is being used to process the data and prompt the necessary management actions to optimise passenger flow.

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

The proliferation of security systems reliant on biometric sensors creates a need for these to be stress-tested. One way of doing this is the creation of faked credentials to fool the system. Clearly there is also a potentially criminal aspect to this work.

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

Monitoring and identifying the illicit use of natural resources for activities such as illegal farming, logging, deforestation, etc.

Location and establishments hazardous to consumers and individuals might include restaurants, illegal businesses, areas prone to crime and violence and others. Hazards may be medical, environmental, human-caused or other natural phenomena.

Being a news anchor involves the single task of reporting - essentially reading out a script. Therefore, AI can work for automating news presentation on TV and other media, using natural language generation and processing.

Volumes of mail are such that it is almost impossible to consistently check for items of concern - whether smuggled drugs or packages of suspicious substances likes anthrax. Using X-rays or similar sensor technology large volumes of images can be processed to indicate which items of mail should be properly investigated.

Automating the collection of customer data including product preferences, demographics, and personal information. This data may be collected under the guise of a loyalty program or app, with AI being used to extract the relevant information.

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