Our primary Data Science research goals are to enhance the intelligence of health monitoring systems, to enable our customers to make more informed decisions and take meaningful actions at the right time.
Established in 2005, the Company’s Data Science Team uses mathematics and algorithmic techniques in order to solve complex health monitoring problems, often working with live field data in order to uncover hidden data features that are not possible to identify using conventional techniques.
Core research and design capabilities include
- Python and R
- SQL and NoSQL Database Querying
- Matlab and Simulink
- Statistical Modelling
- Real-Time Big Data Analytics
- Data Mining
- Fuzzy Logic
- Neural Networks
- Data Visualisation