Industry

ML and AI put Industry in motion. Intelligent data analytics use the high volumes of sensor data generated by a factory to forecast the future. It involves adopting analytics and machine learning to identify patterns and build predictive models. The data collected can then work to make the manufacturing processes more efficient. Real-time analytical techniques contribute many benefits to this.
Machine Learning for industry
Statistical models can help troubleshooting production bottlenecks, tracking scrap rates, meeting customer delivery dates. Time series sensor data are an excellent source that can serve for training machine learning models. Supervised and unsupervised machine learning algorithms can understand multiple production shifts' real-time data in seconds and identify previously hidden processes and workflow patterns. It is how prescriptive analytics plants are continually adapting to new circumstances.

Predicting Aging Wine Quality

A 1978 Chateau Margaux retails for a mean of $541 nowadays. Among the younger wines, is it possible to tell which ones will age gracefully and become the next Chateau Margaux? ...

Supply Chain: Improving Demand Forecasting

Storengy, a French natural gas storage company, wants to anticipate its levels of gas storage requirements. Therefore, gas supply chain optimization is critical for procurement engineering. ...
Landing helicopter

Product Formulation Optimization : Fire-Resistant Paint

Fire-resistant material is a must for helicopters. A helicopter manufacturer wants to design fire-resistant material for its passenger compartment. ...