Deep learning, specifically computer vision and natural language processing, can be designed to identify defects during the product packaging process. These deep learning models can verify that a label on a package is present, correct, straight, and readable.
We designed and deployed a custom deep learning based tool to extract images from millions of digital and scanned documents.
Read how we revamped this leading O&G firm’s fuel crack spread forecasting techniques using ML.
Oil & gas firms have a tremendous opportunity to refresh demand forecasts with ML techniques, improving accuracy and adding to the bottom line.
In this whitepaper, we examine how different companies can attack the dispatch routing optimization problem using ML & AI.