Machine learning, AI and manufacturers

Artificial intelligence is increasingly used in manufacturing to improve the efficiency of supply chains and optimization of operations. However, many of these AI efforts are not generating any competitive advantage for those companies. What are some considerations for companies looking to embark on this journey?

Unlocking AI’s potential for manufacturers 

Businesses that adopt advanced manufacturing technologies, such as the Internet of Things (IoT), can use a combination of artificial intelligence and data analytics to keep expenses low while increasing output, in addition to optimizing the customer experience. But in most industries, just providing data and analytics does not inspire companies to adopt those technologies. In fact, while many companies make the effort to expand data collection in their operations, how many can actually say that these efforts have led to a change in their overall decision making, both on the floor and at the executive level? 

IoT basics 

If you value innovation and innovation efficiency, working in tandem with businesses of all types – including those that require advanced manufacturing – you will find tremendous value in using IoT to stay ahead of the competition. IoT and IoT-enabled devices are essential to improve the manufacturing process and increase productivity, while at the same time generating more accurate data that allows for better decision making and use of tools to automate and streamline processes. IoT empowers manufacturing to be more responsive, flexible and connected. 

Machine learning and AI are considered essential components of IoT devices and connected devices, which, in turn, create opportunities for tremendous value from analytics. Machine learning is used to predict and identify unusual patterns in data and patterns that help improve business operations. It allows the analyst to get a real-time, automated read on data that can help to make better decisions. By connecting large amounts of data that can make for better predictive maintenance and quality assurance, machine learning is a critical component for IoT devices and business operations. 

A primary task of machine learning is to predict and act on unusual patterns, which helps improve business operations. Such patterns can be impacted by what a machine needs and can trigger immediate actions to improve or better a manufacturing process. For example, a machine learning algorithm can help an assembly line to extend its production run by keeping on-time component delivery to the production line in the back. Machine learning helps to optimize the manufacturing process by getting the optimal output while maximizing the actual production performance of your company.  

Machine learning allows the analyst to get a real-time, automated read on data that can help to make better decisions. When analyzing production data, machine learning allows a manufacturing company to continue to optimize operations and improve upon the customer experience. By embarking on this journey, companies will find that they can get more value out of their assets, and set themselves up for future success.