Practical Use Cases for Artificial Intelligence and Machine Learning (Poster)

As the digital transformation of industry progresses, an increasing amount of data is becoming available. The data only has value if it is analyzed and converted into useful information from which actionable decisions can be made. In parallel, the adoption of artificial intelligence (AI) technology has been increasing significantly. To date, the adoption of AI on the shop floor has been limited mostly to local feasibility studies that lack the ability to scale creating a hurdle for commercial adoption.

The question is, how can AI techniques such as machine learning capitalize on the newly available data sources to assist companies with the application of “industrial grade AI” on the shop floor in a scalable way that will address current maintenance and operations issues.

This presentation will include multiple use case examples of the application of AI in the factory to enable anomaly detection and data analytics through ML to predict failures, which decreases unexpected plant shutdowns, and reduce plant operation costs by enabling predictive maintenance and minimizing wear. Additionally, it will cover the use of AI to tie business targets to process control.