Nowadays, automation is one of the most critical trends worldwide. One of the most critical questions in modern technology is how to build cost-effective, modern, intelligent solutions fast and at a lower cost.
One possible option is to empower analysis using the Digital Twins concept and analyze possible anomalies regarding the expected parameters using the multivariate anomaly detector. These systems are also real Internet of Things (IoT) solutions because such solutions gather data from different sensors.
The modern industry allows the use of cloud-based components such as Azure IoT Suite, Azure Digital Twins, and Azure OpenAI service, offered by Microsoft, to simplify the implementation of complex analytics systems related to predictive analytics.
There are different options for implementing predictive analytics and maintenance, but OpenAI brings a unique general approach to building intelligent, self-improving solutions, able to get insight even beyond the expected business cases.
This presentation covers best practices for building intelligent solutions for modern industry, including architecture, practical use cases, and demos.