Skip to content
1*zn2FQFJ5Fq_MLIu9-zISzA-2-200x200
Semantic Distillation: A Brief Primer

The fact that business teams are drowning in disconnected data is getting to be a bit of a cliche. Adding a semantic layer to an enterprise data platform can bring order to chaos, allowing teams to collaborate effectively and leverage AI to unlock valuable insights.

People discussing and working together on a graph ontology
Kobai Announces Listing on Databricks Marketplace

Continuous Integration has expanded over the course of my career. 

An inexpensive, quick and easy way to build beautiful responsive website pages without coding knowledge
Aerospace Industry Manufacturing rocket engine Factory formed up of Data nodes of Knowledge graph Dark Theme

INNOVATIVE AEROSPACE MANUFACTURER

Streamlining Maintenance Operations through Semantic Data Integration.
An aerospace manufacturer sought to improve its maintenance operations by integrating diverse data sources across design, manufacturing, and service departments. By implementing Kobai's semantic data integration solutions, the company aimed to enhance data accessibility, reduce maintenance turnaround times, and improve overall operational efficiency.
PROJECT
Integration of heterogeneous data sources to optimize maintenance operations.
WHAT WE DID
Semantic Data Modeling, Knowledge Graph Development, Cross-Departmental Data Integration.
CLIENT
Confidential Aerospace Manufacturer.
TIMELINE
Start: April 2025, 5 Weeks Design, 9 Weeks Implementation.

PROJECT INFORMATION

The aerospace manufacturer faced challenges in maintenance operations due to siloed data across various departments. Kobai's solution involved creating a semantic layer that unified data from design, manufacturing, and service records, enabling more efficient maintenance processes and decision-making.

CHALLENGES

  • Disparate data systems across departments
  • Inefficient maintenance scheduling
  • Limited real-time insights into equipment status

RESULTS

  • Unified data access across departments.
  • 20% reduction in maintenance turnaround time.
  • Enhanced predictive maintenance capabilities.
20% Reduction in Maintenance Turnaround Time
30% Increase in Predictive Maintenance Accuracy
40% Improvement in Data Accessibility
Aerospace Industry Manufacturing rocket engine Factory formed up of Data nodes of Knowledge graph Dark Theme
Kobai's semantic integration approach has revolutionized our maintenance processes, providing us with timely insights and significantly reducing downtime.

 

Alex JohnsonDirector of Maintenance Operations, Confidential Aerospace Manufacturer

SCHEDULE A MEETING WITH AN EXPERT

Learn how Kobai can enhance your aerospace maintenance operations through effective data integration.