The internet of things offers substantial opportunities for connected enterprise in product development and manufacturing processes.
Internet of Things (IoT)
IoT allows objects from small embedded electronics, software and sensors all the way to vehicles and buildings to be monitored and controlled remotely via the internet from almost any device, anytime, anywhere in the world.
This interconnectivity of ‘things’ and access to ever increasing volumes of data together with proliferating computing power, including machine learning, offers substantial opportunities for connected enterprise in product development and manufacturing processes.
Industrial IoT (IIoT) means managers, engineers and developers can access data and supporting applications to check on specific systems, schedules, data, etc. at any time, in full detail. This ability to remotely and rapidly analyse performance and results as well as remotely control or reconfigure capabilities is dramatically reducing development cycles and time to market. At the same time it is delivering new insights and driving further innovation.
Supporting your project
We not only understand the wider context of IoT applications but have practical experience of integrating IoT projects that offer greater control, analysis and data access whether you are in the next room or the other side of the world.
We are able to build and deploy the right solution for your requirement by deliberately applying a strategy of employing talented engineers with a wide range complementary expertise:
- Machine learning
- Big data analytics
We follow technology agnostic system engineering principles to deliver sophisticated IoT enabled supervisory control and data acquisition (SCADA) systems including data integration and sharing, across devices and third-party systems. We tailor our support to meet your project requirement:
- End-to-end design and build
- Ad hoc support
- Hardware or software development
- Coding workshops
- Machine learning algorithms
- Signal processing
- Audio analysis
- Big data analysis and management.
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