Analytics Driven Embedded Systems to Drive Smart Technology Development.

Our world is generating oceanic proportion of data every single day. With Big Data Analytics to extract insights, recognize patterns and useful information from business, engineering and scientific data,s are enabling design engineers in many industries to develop smarter products and services.

Engineers today can use analytics to describe and predict a system’s behavior, and further combine predictive analytics with embedded control systems and sensors to automate actions and decisions based on the patterns, insights and information extracted. It uses a Train and Predict methodology.

Real Time Embedded Systems are modeled to generate the Trained Model based on the stored data. Later with real time data fed in the trained model is applied to perform real-time analytics. This is helping engineers all over the world develop extremely intelligent real time systems that combine and process sensor generated data with other real time source like the historical data (IOT - Internet of Things), to provide highly accurate results.