Leveraging data analysis tools for IT rollouts in DBT

...or we weren’t sure whether their laptop needed to be replaced. Things which we couldn’t fix using code, we needed users to tell us. This meant that we couldn’t simply...
...or we weren’t sure whether their laptop needed to be replaced. Things which we couldn’t fix using code, we needed users to tell us. This meant that we couldn’t simply...
...on security, reliability, and data integration. The platform is built on open-source technologies such as Python and Django and the source code for Data Hub's front and back end is...
...website had built up a significant amount of legacy code bloat and design inconsistencies. Re-imagining the service helped us address many of these issues, and we continue to work hard...
...being developed by the Incubator of Artificial Intelligence (i.AI) from Cabinet Office to be used across government to develop public services. DBT have been developing this code base further, by...
...start to finish), co-design and more exploratory studies. To make this possible, we’re equipping non-user researchers - like product managers, designers, and other delivery team colleagues - to carry out...
...or concept that I do not understand. What is code? Where is the cloud? One of the best bits about this DDaT team is there is never any shame in...
...from unstructured data, or even write code. Government departments routinely handle confidential and personal data. Therefore, using public AI tools that transmit data externally can post significant security and privacy...
...across use cases: users were most satisfied with M365 Copilot when reviewing code, summarising research, drafting documents and transcribing and summarising Teams meetings. In contrast, users were less satisfied using...
...input text, FactVerifAI uses its extract claims function (see code) to identify fact-checkable claims based on the model's understanding. Retrieve - for each extracted claim, it queries web search APIs...
...to senior stakeholders (such as under-resourcing). This enables timely course correction before code is built, and change becomes more complex. We also offer pragmatic solutions such as regular assurance reviews....