Madhuri Peri

The utility industry is undergoing the most significant transformation to its operating and business models since the modern utility structure was developed at the beginning of the 20th century. Regardless of whether the source of power is oil and gas, wind, or solar, predictive maintenance is a critical business need for all leaders in the power and utilities (P&U) space.

Industrial facilities and assets can be complex and old, and the cost of error can be extremely high, so the need for industrial digital transformation cannot be understated. With IoT and machine learning (ML), industrial customers can combine machine data from a single line, a factory, or a network of sites to improve performance and efficiency by remotely and proactively identifying issues...

Remote monitoring of assets and equipment enables businesses to repurpose labor away from manual monitoring, increase equipment life span, and derive value from existing investments into assets. In harsh physical environments, remote monitoring can enable equipment to operate offline while reducing high-risk, manual operations.