Machine Learning with Beacons
Machine learning finds hidden gems in data and results in 'models' that can detect, classify and forecast. Feeding the resultant intelligence back into your organisation solves problems that previously seemed too complex and impossible to solve by humans. Solving these problems often improves efficiency, saves costs, increases competitiveness and can even create new intellectual property for your organisation.
Machine learning can be used by just about every industry that can generate data. In healthcare, you might classify a type or level of illness based on sensor data. Alternatively, you might want to alert when vulnerable patients go outside their normal pattern of movement. In industry, you might want to perform prognostics on sensor vibration data to predict failure. Alternatively, you might want to forecast purchasing requirements based on sensed activity. There's an enormous number of uses across all industries.
“Every company that works to build something of their own will incorporate AI...
AI is perhaps the most transformative thing that's ever happened”
Satya Nadella, CEO Microsoft.
Wired UK, Issue 97.
Sensor beacons are ideal for use in data collection. Our work in AI and machine learning grew out of our use of beacons in sensing and collection of data using our BeaconRTLS platform. We perform machine learning locally on one of our custom-built rigs or in the cloud depending on the type of learning and clients' data privacy requirements.
Custom built machine learning rig
The resulting machine learning models are used in mobile apps, local/remote servers (via HTTP REST) or in the cloud to provide for detection, classification and forecasting tasks.