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.

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