AI and data

Implementing and promoting ethical practices in the design, development, deployment and use of AI and data technologies.

Enabling data-driven decision making by extracting, analysing and communicating insights from structured and unstructured data.

Applying mathematics, statistics, data mining and predictive modelling techniques to gain insights, predict behaviours and generate value from data.

Designing, building, operationalising, securing and monitoring data pipelines, stores and real-time processing systems for scalable and reliable data management.

Developing systems that learn from data and experience, improving performance, accuracy and adaptability in dynamic environments.

Facilitating understanding of data by displaying concepts, ideas and facts using graphical representations.

Developing and implementing plans, policies and practices that control, protect and optimise the value and governance of data assets.

Developing models and diagrams to represent, communicate and manage data requirements and data assets.

Installing, configuring, monitoring, maintaining databases and data stores, ensuring performance and security and adapting to evolving technologies.

Specifying, designing and maintaining mechanisms for storing and accessing data across various environments and platforms.

Enabling the effective management and use of information assets.

Planning, implementing and managing the full lifecycle of organisational records.

Implementing and promoting compliance with information and data management legislation.