Predictive & Preventive Maintenance
Using state-of-the-art Machine Learning techniques (including Deep Learning) for predicting machine failures and/or operational issues beforehand of any occurring failure..
Real-time discovery of patterns and trends in the machine operations, and real-time dashboards for monitoring machine health, operational efficiency, and performance parameters.
Process & Efficiency Improvements
By observing the machine data over a longer period of time, we can identify patterns and causal relationships, identify losses of efficiency (for example, unnecessary power consumption) and performance bottlenecks.
Edge computing is the emerging trend in IoT. For advanced analytics using unstructured data such as audio-visual data, sending the raw data to cloud infrastructure and getting back the results from cloud could lead to significant delays.