Machine learning capabilities give computers the ability to learn without being explicitly programmed. You can learn everything about your process and see what is happening now. You can also predict what changes are made with different inputs and associate process behavior into groups. You can drive processes to optimal outcomes through use of dynamic models.
With manufacturing data everywhere, why does it fail to solve many of your business challenges?
Data scientists spend about 60% of their time cleansing and preparing data for machine learning. It is a time-consuming process, especially in manufacturing where historian software is often used to collect data but does not annotate it well. Lack of data is not the issue; lack of connectivity is.
Our FactoryTalk® Analytics™ software can make your data more useful without requiring so much time from data scientists, and it can:
This software enables you to learn from your data when you use interactive tools to prepare, analyze, and translate it to streaming functions. Leverage open standards for machine learning or develop your own. Connect to data at multiple layers in the architecture, solve use cases that provide the most return and build using a common platform.
When you decide where to apply machine learning, think about where the data is, what the focus of your analytic is, where the action is triggered and how slow is too late. To get the most value, pick the lowest level where the data you need is readily available.
With advanced manufacturing analytics software, you can collect data from multiple systems and locations. You can organize it in a way that makes the most sense for every person that uses the information, based on role, responsibilities and location.
Everyone can use a single decision-support platform to: