By gathering and analyzing production data hidden patterns emerge. These patterns can be used to predict issues that may arise in the future, thereby enabling you to fix the issue before any damage (such as costly downtime in a production line) is done.
Images and video harbor valuable information that may be hard to discern without experience. Using machine learning we can automatically extract this data without any human intervention. Recently, ML-techniques like this have successfully been used in different fields, for instance helping with optical diagnostics and object detection in recorded video material.
Natural Language Processing
Natural language is notoriously hard to encode and decode in the classical computer paradigm. Using neural networks and other machine learning techniques we enable software to understand language on a deeper level. This allows us to develop exciting new solutions and create better digital user experiences.
By using machine learning we can create actively learning algorithms that adapt to circumstances in a way which was not possible before. This allows for tailored recommendations based on customer behaviors. Making it easier for your customers to find what they are looking for, increasing customer satisfaction as well as profits.