GoPredictive

GO PREDICTIVE - predictive maintenance

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Predict. Prevent. Prosper. Discover how our innovative maintenance services can revolutionize your operations!

@: info@gopredictive.com.au

Predictive maintenance

enhanced efficiency, cost savings, and extended equipment life.

Proactive Maintenance: Predict equipment failure and schedule repairs in advance.

Remaining Useful Lifetime (RUL) Prediction: Plan replacements or overhauls to avoid unexpected failures.

Survival Models: Predict time until failure considering time-dependent data.

Reduced Downtime: By predicting failures, downtime is minimized, prolonging equipment lifespan.

Targeted Repairs: Identify when and where failures are likely, reducing unexpected costs.

Root Cause Analysis: Understand and prevent recurring failures.

Utilization of Survival Models: Predict time until failure considering time-dependent data.

Meet the team

Denis

Denis has completed over 50 Data Decision Systems implementations in different industries as a team lead and an architect. He is a hardworking professional ready to go above and beyond to find the best solution.

Yuri

Yuri specializes in data science and business intelligence. He has work experience in logistics, it-consulting, retail and fuel downstream industries. He is passionate about data analysis, the creation of machine learning models and their deployment to production.

Mikhail

Simultaneously completed two PhD programs. Received DECRA award, recognised among the top 200 young researchers in Australia. Mikhail participated in the teaching and development of the Data Science masters program.

Want to explore more?

Discover the transformation for yourself. Contact us today to receive a free proof of concept using your own data, and see firsthand how our image recognition technology can revolutionize your applications

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Email info@gopredictive.com.au