SimplyDo

Our digital landscape is evolving rapidly, and protecting our personal data has never been more important.

SimplyDo, who work with sensitive industries such as defence, policing and healthcare recently performed an assist with us and our experts, enabling us to provide them with significant knowledge transfer for using Artificial Intelligence in their work.

Data sovereignty requirements not only mandate that customers remain in complete control of their own data through our services, but also that the data is processed and stored fully within pre-agreed geographic and virtualised locations. For example, many of SimplyDo’s customers require that their data is fully managed solely within the UK.

Throughout the experience, the team were highly positive and clearly listened and understood our challenges and were able to help us with relevant and practical insights that we have already been able to use in progressing AI deployments in our products.

Generative AI

In recent years the world has observed explosive growth of generative AI across a range of media, including text, images, voice, and even video. Many organisations have been rushing to leverage these exciting technologies to empower their own services, or even to build entirely new and previously impossible categories of standalone products.

Despite the convenience of off-the-shelf closed-source AI services such as OpenAI, there are uncertainties involved in the opacity regarding how data inputs are handled behind the scenes.

For example, in typical text summarisation, SimplyDo would need to expose customer data for it to be processed by the service, and it is not always clearly understood how such data will be processed. For SimplyDo, such uncertainties would reduce their ability to confidently safeguard their customers’ data with respect to both security and sovereignty.

Working with the Hartree Centre Cardiff Hub allowed the SimplyDo team an opportunity to gain knowledge and know-how to deploy and run their own open-source AI models in-house whilst understanding the applications of different model types and trade-offs in model complexity and computational cost. The Hub provided SimplyDo with sample code to help demonstrate these applications and trade-offs.