Use Case Overview
By implementing the SIENTIA™ platform, a major Brazilian mining company harnessed valuable insights from its data to optimize anomaly detection and soft sensoring across its extensive conveyor belt network.
Leveraging SIENTIA™'s integrated DataOps and MLOps capabilities, the company developed highly reliable predictive models that identified improvement opportunities and mitigated operational risks. As a result, the company significantly enhanced efficiency and gained a competitive edge in the market.
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