Asset Management

ASSET MANAGEMENT

Efficiently manage and optimize the performance of railway assets to improve safety and maintenance processes, support economic growth, and minimize environmental impact. We can create a customized knowledge graph and federate across virtualized data silos to help you maximize your asset management for minimum cost and risk.

Semantic data integration

  • Blend data from disparate sources by employing a data-centric architecture built upon an RDF model.
  • Utilize and explore the industry standards developed by the industry domain leaders and regulators.
  • Normalize data to concepts from major ontologies and registries used by the business.
  • Employ proper semantic alignment that guarantees a high-quality knowledge graph.
  • Leverage complex sensor network aggregates for actionable insights and risk management.

Knowledge graph

  • Infer new facts and relationships by applying logical rules on data at scale, including temporal reasoning.
  • Provide a semantically aligned model for data consumption and reuse.
  • Run as a simulation model for managing assets and solving complex questions by using sequences of multiple causal relations.

Analytics and exploration

  • Benefit from an evolving knowledge graph loaded with high-quality data and provenance on a single fact level.
  • Use as a foundation for training machine learning and deep learning models to identify patterns and correlations between your assets.
  • Create specific user interfaces for visualizing and exploring your newly created knowledge graph to support your decision-making process.