AI-guided selling enables analytics to move from descriptive to predictive and prescriptive analytics. The process uses customer and sales data for a scientific, data-driven approach to understand buyer processes and behaviors.
Sometimes the most difficult thing about AI is simply knowing where to start. Identifying potentially impactful use cases is one of the most cited roadblocks for organizations seeking to leverage AI in their business.
By continually monitoring the condition of your equipment's most critical mechanical and electrical components, failures can be avoided with predictive maintenance carried out during scheduled downtimes, resulting in continual operations.
Autonomous Maintenance is one of eight pillars that make up Total Productive Maintenance (TPM). It's also one of the most important activities that eventually determine the success of any TPM implementation project.
With wood being one of the few renewable resources, its use continues to grow. But the automation of processing the raw material comes with its own challenges. By their very nature, wooden logs are inconsistent in size and density.
Among the wealth of use cases for AI & ML in manufacturing, one rises above the rest in terms of feasibility and impact - predictive maintenance. Predictive maintenance addresses the age-old challenge of ensuring maximum availability of critical manufacturing systems.
EXAIR Cabinet Coolers incorporate a vortex tube to produce cold air from compressed air. Cabinet Coolers convert an ordinary supply of compressed air into clean, cold 20ºF air. Learn more in EXAIR's white paper "How EXAIR Cabinet Coolers Can End Costly Shutdowns".