Implementing AI: An Overview for Small to Medium Manufacturers
With all the buzz about AI today, it can be difficult to know how to best incorporate these modern technologies into your day-to-day business processes. However, many US manufacturers have already been implementing AI technology in their business in the form of chatbots and data analysis tools, with over 80% of manufacturers expecting to increase their AI use in the next two years, according to the Manufacturing Leadership Council.
AI technologies can fortify your business processes in many ways.
Machine learning (ML) can assist your business with identifying problem areas in processing, predicting when machines need servicing, and forecasting production needs that reflect prior business cycles. Machine learning makes efficient use of large collections of data for effective planning and reduced waste in production.
Similarly, Predictive Analytics utilize patterns found in data to curb waste in production and energy use, anticipate supply chain issues, and offer optimized production schedules.
AI-Powered Robotics can learn and work independently or in tandem with employees to navigate variations in assembly and streamline delivery. Specifically, collaborative robots, or cobots, adapt their processes to account for the presence of human workers in a task, and autonomous robots detect opportunities for efficiency in pathing through computer vision.
AI-Enabled Cameras can use their advanced pattern recognition technology to detect deviations in production and identify hazards where they might otherwise go unnoticed. There are also AI-powered tools that can assist with documenting the skills of legacy operators for future employees.
Natural Language Processing (NLP) allows for the use of voice-activated controls for machine operation, the summarizing and transfer of essential data from reports and manuals, and the adoption of virtual assistants to aid in troubleshooting and offering customer support.
As the moniker implies, Digital Twins use AI to simulate the operations of equipment or processes to illustrate opportunities for improvement while allowing manufacturers to observe the lifecycle of equipment facing consistent use. Digital Twins also allow for experimentation with production line or product modifications before costly commitment.
The Human Element
With all these AI innovations, it is important to note that employees with the proper related backgrounds in technology, engineering, robotics, and data analysis will be needed more than ever. Working alongside these emerging technologies and keeping pace with changes in the manufacturing landscape is possible through dedicated training. Manufacture Nevada can help you and your team achieve the confidence and knowledge you and your team need to remain competitive.
How Manufacture Nevada Helps
Manufacture Nevada connects small to medium Nevada manufacturers to expert guidance and helps find the cutting-edge AI solutions that best suit your business. Whether that is through training, business assessments, or implementation planning, we can help you chart a course for success in today’s global marketplace.
Contact one of our Business Advisors to learn more.
Content from this article was sourced from NIST.


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