EXECUTIVE INSIGHT
Microsoft ’ s headquarters : Its Redmond Campus has been undergoing a refresh since 2017 , slated to finish this year output . When a machine ’ s relative health indicates potential problems , it becomes essential for human intervention to address and rectify the situation .
If the machine is no longer effective in its role , we may even need to consider replacing it with a more efficient model or changing the process itself .
Thus , monitoring not only helps in maintaining the current performance levels but also plays a pivotal role in planning for future improvements and replacements .
A key benefit of monitoring lies in its potential for energy conservation . When a product isn ’ t being created , the power can be reduced or shut off , providing an immediate opportunity for cost savings for manufacturers .
AI ’ s ability to synthesise multiple sources of information and make rapid decisions makes it far superior to static algorithms or even human intervention for managing power usage . WATCH NOW
Generative AI in Enterprise & Industrial Applications
manufacturing , such as machine downtime or operational inefficiencies .
Using machine health as an example , by continuously monitoring performance we can detect early signs of any issues that might jeopardise its reliability or the quality of its
Q . HOW DOES MICROSOFT CLOUD FOR MANUFACTURING HELP MANUFACTURERS MONITOR AND ENHANCE PERFORMANCE ?
» Microsoft Cloud for Manufacturing offers a comprehensive foundation for seamless data connectivity and integration , regardless of whether the data originates from field devices , equipment or existing systems like a manufacturing execution system ( MES ) or a quality management system ( QMS ).
This connectivity empowers manufacturers by consolidating diverse
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