Predictive Analytics
Predictive analytics is the process of using historical data in conjunction with artificial intelligence technologies such as machine learning and deep learning to predict future events. This process relies on extracting patterns and trends from data to provide accurate forecasts that support strategic decision-making. Thanks to AI technologies, predictive analytics can improve forecast accuracy and develop innovative solutions in multiple domains.
Possible use cases
Predictive Maintenance
Build an artificial intelligence system to monitor machines, vehicles, and equipment and predict future failures.
Predictive Quality
Build an AI system to detect poor quality products, detect the root of the problem, and reduce its occurrence.
Digital Twin
Building a virtual model of a physical object such as a factory, vehicle, enterprise, wind turbine,... etc. This model uses real-time data sent from sensors to simulate behavior and monitor operations. A digital twin can see what happened in the past, what's happening now, and what's happening in the future. These apps make it possible to understand the current situation, identify potential problems, and make smart decisions about maintenance and future actions.