On 18 June, techUK, in partnership with the Institution of Civil Engineers (ICE) and The Alan Turning Institute, held a one-day design AI sprint. The event explored AI, machine learning and data science: shaping the future of existing infrastructure and brought together civil engineers, data scientists and technologists who worked together in teams.
During the day teams were asked to develop an approach to the question: How can our existing infrastructure be adapted for predictive maintenance? This could have been from the perspective of a specific sector, using technology or through better data gathering. The group began by identifying what its collective measures of success would be and decided that, value to end customer, data quality and whole systems thinking, would be the priority outcomes used to judge the final solutions. Working through the design sprint steps, individuals teams developed a number of final solutions that were then presented to the whole group and the winner was decided by popular vote.
Find out more about the conclusions of the day, and the winning solution, in the report of the day via the link below.
If you would like to discuss this event or get involved in techUK’s work on smart infrastructure and AI please get in touch with Sue Daley, Head of Cloud, AI and Data Analytics: firstname.lastname@example.org and Matthew Evans, Head of Internet of Things: email@example.com.