The joint solution combines Symboticware's SymBot device, which provides data capture from mining fleets, and Uptake's asset performance management (APM) software, Asset IO, which applies AI to surface predictive insights from the data.

This hardware-software combination could boost the productivity of mobile mining equipment through data collection from sensors, benchmarking and pre-trained AI models.

Ash Agarwal, director of mining at Uptake, stressed the importance of optimal machine health and performance for achieving the best return on investment from equipment.

"Performing regular maintenance on haul trucks can be labour- and time-intensive, with the added cost of unplanned downtime having a significant impact on throughput and operating expenses," he noted.

"This integrated solution provides the best of industrial IoT and AI to reduce downtime, minimise operating expenses and aid in the development of a comprehensive maintenance programme."

According to Kirk Petroski, president and CEO of Symboticware, industrial data is only as good as the insights that can be gleaned from it.

"This solution delivers predictive insights that are both accurate and actionable, providing users with sufficient lead time into maintenance issues so they can be ahead of the curve. That ability to proactively mitigate maintenance problems yields a proven, measurable increase in productivity."