Advanced Analytics

Our real-time machine learning systems consider complex events and constraints to continuously predict asset failure times and optimize operations

Machine Learning for Assets

Our machine learning models and other advanced analytics were created specifically for asset-intensive industries; they can predict and optimize asset health and related operations into the future without loss of accuracy or confidence. This translates directly into greater cost savings and higher ROI. Our analytics applications provide insights, recommend actions, and make decisions that are too complex for people to make in a timely manner, or at all.

optimization

SpaceTime Insight’s machine learning analytics predict the future probability of failure without loss of confidence. You can “see over the hill” and understand your risk of surviving an event, where other analytics may project failure. Our optimization algorithms then have more time and conditions to work with, so you can optimize purchasing, crew schedules, down times, and other maintenance activities. As a result, you extend asset life, increase your return on invested capital, and reduce maintenance and operating costs.

The Most Accurate and Comprehensive Analytics Available

Our real-time machine learning systems consider complex events and constraints to continuously predict asset failure times and optimize operations.

Descriptive
Analytics

Provides a summary of what happened, usually for a set of predefined periods and other attributes. Useful for reviewing historical performance and understanding areas for operational improvement.

Diagnostic
Analytics

Identifies why, when, and where something happened, commonly to determine the root cause of an operational failure or unexpected event. Useful for identifying effective remediation alternatives.

Predictive
Analytics

Identifies a probable outcome based on assessing past behavior and likely operating conditions in the future. Useful for taking preventative measures, estimating remaining useful life, and reducing the impact of unplanned events, theft, and other scenarios.

Prescriptive
Analytics

Identifies specific actions to optimize processes, routes, schedules, and plans. Useful for planning under uncertain conditions, scheduling and positioning resources, and determining the most cost-effective routes.

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