Eclipse Mining Technologies, a provider of data technology solutions and developer of the SourceOne enterprise knowledge performance system (EKPS), has announced the launch of its latest release. This release marks a significant expansion of the company’s product capabilities, addressing the increasingly complex data challenges faced by mining and other big data industries.
At the core of this release lies a schema that acknowledges the need for data to undergo a transformative process to become prepared for utilization by artificial intelligence tools and for knowledge generation. The new release includes an enhanced integration layer, an ontology layer to enrich data meaning with extensive context, a modelling layer with knowledge graphs to capture and visualize relationships between data objects, enhanced automation, and the ability to incorporate advanced analytics.
Susan Wick, Eclipse CEO, highlighted the significance of this milestone, saying that, “True knowledge management necessitates a framework to make it successful and useful outputs to make it consumable.”
Fred Banfield, Eclipse’s chairman added that, “The use of ontology and knowledge graphs will provide guidance on where data is, how to access it, and what tools should be used to analyze it.”
This release from Eclipse Mining represents a major step forward in addressing the data-related challenges faced by big data industries. By incorporating cutting-edge technologies such as data ontology, knowledge graphs, and data modelling into its existing architecture, Eclipse is providing users with the tools and guidance necessary to effectively leverage their data and generate valuable insights.
For more information, visit www.EclipseMining.com.
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