AI-driven natural language interfaces, similar to the popular ChatGPT are disrupting complex approaches to simple tasks performed via chatting to an AI. These interfaces will enable users to interact directly with their data, allowing them to ask questions, gain insights, and receive summaries with ease. By leveraging a well-configured data dictionary that maps the existing data landscape, these AI tools will make data querying and management more intuitive and accessible, empowering users across the organisation, regardless of their technical expertise.
Beyond knowledge retrieval, these chat interfaces will integrate with specialised agents capable of executing complex test data activities based on user guidance. Users will be able to instruct these agents to find, create, and manipulate data within backend sources, all through natural language commands. Visual models will play a crucial role in this process, allowing users to understand what an AI has done to build trust, and express comprehensive scenarios to ensure adequate data coverage.