Technology
Use Cases
Newsfor Technology
Accelerate Application Modernisation with AI Code Refactoring
Assist IT Project management by keeping track of progress and estimating risk
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
Assist developers by helping them to identify code errors in real-time
Assist developers by using AI to help them accelerate code development by automatically spotting errors
Automate Engineering Ticket Triage and ML Model Deployment
Automate cybersecurity systems
Utilise learning systems to effectivel and swiftly respond to security threats, many of which may have been delivered with machine learning support. This is a game where every innovation in defence triggers the next innovation in attack - and vice versa.
Automate network packet routing
Network packets must be correctly identified and routed in order to maintain network functionality including controlling traffic flow, operationalising firewalls, and measuring networks.
Automate protection of privacy in mapping data generation processes
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.
Automate software coding, testing and production deployment
AI writes code autonomously usually within set parameters to enable rapid scaling of new applications and tools
Automate software testing as part of pre-launch / update process
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.
Automate testing of web applications and apps as part of continuous development
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
Build AI API Management Platform for Scaling Enterprise AI Adoption
Build AI Product Analytics for Faster Iteration Without Large Analytics Teams
Build Cloud AI Infrastructure for Autonomous Systems Development
Build SaaS Platform AI Developer Tools for External Developer Ecosystems
Deliver a speech recognition library-SDK-API to support developers
Leverage speech recognition library-SDK-APIs to quickly and cost-effectively build new applications and system deployments
Deliver appropriate information to user at relevant times
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).