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Welcome to Predictive Learning Help!

Predictive Learning combines analytics, statistics, and machine learning algorithms to provide unmatched insight into trends in your data. Combining predictive technology with IoT, service, field, and other data streams allows you to generate a deeper impact on the customer experience. Leveraging as-used data to identify patterns and sequences of events, companies can engage with customers and resolve potential issues before problems arise.

This data insight allows you to see into the future, refine your systems to produce the highest level of product performance and quality. The Predictive Learning interface gives data scientists, business analysts, and application developers the tools they need to increase customer satisfaction and improve net promoter scores.

Predictive Learning allows you to:

  • Easily bring external data into a Predictive Learning workspace.
  • Rapidly build and execute predictive models using both statistical and machine learning algorithms.
  • Pinpoint where in the supply chain an issue originates.
  • Intervene ahead of negative manufacturing events or product performance issues.

With your feedback, future releases will continue to enhance Predictive Learning through integrating more algorithms and statistical analysis capabilities.

Last update: January 22, 2024