Uptake Solves Dirty Data Problem with AI Data Integrity Capability for Maintenance Optimization

Uptake Asset IO Repairs Work Order Data to Provide Insights for Up to 20 percent O&M savings

CHICAGO, June 10, 2019 /PRNewswire/ — Industrial artificial intelligence (AI) leader, Uptake, announced it is solving critical problems for the Energy, Industrial and Utilities sectors by providing comprehensive data integrity capabilities for operations and maintenance (O&M) that allows work order cost analysis overcoming the industry challenge of incorrect, dirty work order data.

Companies worldwide are using advanced analytics and machine learning for predictive maintenance strategy optimization as a driving force to reduce operational costs. However, the lack of clean data is a major impediment to achieve those cost savings. Industrial companies are particularly susceptible to dirty data due to wildly disparate, legacy systems, frequently missing, or miswritten, data and the prevalence of proprietary systems that have their own data language. Uptake has solved this problem.

“Operational and maintenance data in the Industrial, Energy and Utilities sector is often inaccurate or missing critical pieces and AI-driven insights are only as good as your data,” said Jay Allardyce, Uptake’s Chief Product Officer. “This Uptake APM capability for data integrity is a first for the industry allowing companies to successfully implement predictive maintenance…