New Report values the market at $4.2bn in 2025, with conventional methods still dominant and North America worth $1.46bn,though costly kit and a shortage of certified inspectors could slow progress ...

The pursuit of improved operational margins is difficult, as CPG companies face over 20% in cost losses due to inefficiencies ...

Deloitte’s Tim Gaus discusses best practices for successful AI implementation and how it intersects with maintenance and ...

Predictive maintenance tools are gaining interest in data centers, but skills gaps, data quality and ROI concerns still slow ...

Predictive modeling with AI can revolutionize how organizations use everyday business data. In association withTP In 2026, the question for enterprise AI is no longer whether predictive models can ...

The global predictive maintenance market is projected to grow from USD 9.71 billion in 2026 to USD 16.74 billion by 2031, at an 11.5% CAGR. Growth is driven by industrial IoT, AI, machine learning, ...

Electric motors are among the most widely deployed electromechanical systems in modern technology, powering everything from handheld tools and autonomous robots to industrial pumps and electric ...

Unplanned downtime can get very expensive, especially for companies operating in industries such as manufacturing, transportation, energy and utilities, which rely heavily on specialized equipment.

Knight-Swift Transportation has rapidly adopted AI across fleet and maintenance operations, using predictive tools to prevent up to 15 tows a month and streamline breakdown response and driver ...

Well into middle-age, I was surprised to find out that I was considered “high maintenance.” I don't see myself as needy or dramatic or critical or demanding of attention, so I asked my friends what ...

Predictive Maintenance has become a central topic in industrial IoT strategies, driven by the need to optimize asset performance while reducing unplanned downtime. As connected devices generate ...