Enterprise Test Data AI
10 videos • 0 views • by Curiosity Software AI is redefining the possibilities within software, particularly in the traditionally stagnant field of test data management, which has seen little innovation beyond the addition of new data sources. Historically, organisations have struggled with a lack of structured documentation, making it difficult to fully understand and access the data they need for specific tasks. This limitation has hindered the ability to apply effective test data techniques, leaving teams without the rich, well-understood datasets necessary to perform their work efficiently. Large language models (LLMs) are now disrupting this space by offering more intuitive ways to interact with data, to provide a more comprehensive and accessible view of an organisation’s data landscape. The emergence of AI co-pilots and virtual data engineer agents will further empower stakeholders to interact with their data, gaining instant insights and generating data on-the-fly. This advancement not only streamlines data management but also democratises access to complex data tasks, enabling anyone within the organisation to efficiently retrieve and manipulate data without needing deep technical knowledge.