IoT related companies face challenges in defining and including related products and services, as well as challenges addressing barriers and business settings. This project aims to survey the IoT company ecosystem by reviewing and extending the already existing IoTUK Nation Database to capture IoT specific information.
The vision of the project is to build a network of organisations interested in IoT platforms and strategy. The project will focus on developing training in IoT and platform strategy for the network.
In this project, we aimed to explore IoT-enabled mechanisms that can be used to capture information on greenspace biodiversity specifically looking at sound-scape information. IoT-enabled mechanisms have the potential to significantly reduce the costs of data collection as well as leveraging citizen science, so allowing local governments to incorporate biodiversity into planning and design of green spaces.
This project was to implement point of care (POC) testing devices in patients with severe mental illness in the community and to compare outcomes to similar patients managed by a team without access to these technologies.
Digital healthcare technology providers have not yet earned the public’s trust, and clear policies with regards to data ownership and privacy could outweigh even aspects of performance when it comes to nurturing confidence in their technologies. These are among the findings of an online consultation organised by Pitch‑In in July 2020 to explore people’s attitudes towards digital healthcare technologies and their health data.
Academics from the University of Cambride and University of Oxford are examining how data captured via IoT can help companies create a Digital Twin that simulates the supply chain process and optimises co-ordination with suppliers.
‘IoT for care’ is an emerging field that faces its own specific barriers as well as those common to all IoT domains. This project draws upon experiences of those at the forefront of the field to develop resources and plot a course towards widespread adoption of IoT for care.
Developing an IoT platform for capturing and analysing data from sleep studies, improving convenience for the patients and reducing time and costs for the NHS.
Developing an IoT predictive maintenance solution for legacy manufacturing processes to reduce costly manual inspections for SMEs.