Automating inspections with the latest in AI-enabled robotics
In mining, asset health largely relies on irregular manual inspections, which compromises quality and consistency. In addition, inspection results are often fragmented and stored in diverse formats, limiting analytical capability, and contain insufficient data from highly reliable assets for algorithm training in automation solutions.
Read this whitepaper to find out
- how mining enterprises can transition from fragmented industrial data and irregular inspections to a fully connected, self-optimizing system;
- how HCLTech’s Kinetic AI.Inspect solution unlocks unprecedented ROI while improving safety and sustainability;
- what advantages an end-to-end inspection platform has over use-case-driven approaches;
- how a “simulation-first” approach enables always up-to-date digital replicas of mines for continuous, automated operational optimization.
