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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.

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Kobai Announces Listing on Databricks Marketplace

Continuous Integration has expanded over the course of my career. 

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Customer Stories

Real Impact. Proven Outcomes.
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LEADING ENERGY CORPORATIONStreamlining Brownfield Data Integration for Enhanced Operational InsightsA major energy corporation faced challenges in managing and analyzing vast amounts of brownfield data across multiple process plants. By implementing Kobai Precursor, the company aimed to unify disparate data sources, enabling seamless integration into their analytics environment and unlocking significant operational value.READ MORE
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INNOVATIVE AEROSPACE MANUFACTURERStreamlining 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.READ MORE
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RENEWABLE ENERGY FIRMReducing Unplanned Downtime through Predictive Maintenance
A renewable energy company aimed to minimize unplanned downtime across its wind and solar assets. By leveraging Kobai's predictive maintenance capabilities, the company enhanced equipment reliability and operational efficiency.
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GLOBAL CPG COMPANYOptimizing Inbound Warehousing through Semantic Data Integration

A multinational consumer packaged goods company faced challenges in managing its inbound warehousing processes due to limited data integration and manual prioritization. By implementing Kobai's semantic layer integrated with their analytics platform, the company aimed to streamline operations and enhance decision-making.

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RENEWABLE ENERGY PROVIDERReducing Operating Costs through Predictive Maintenance

A leading renewable energy company faced frequent equipment failures across its geographically dispersed sites, leading to unplanned downtime and increased maintenance costs. By integrating Kobai's semantic graph with their analytics platform, the company aimed to enhance predictive maintenance capabilities and optimize resource allocation.

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GLOBAL ENGINEERING FIRMAchieving a Unified Client View to Boost Engagement

A leading architectural engineering firm specializing in sustainable building design and urban planning faced challenges with fragmented client data across multiple systems. By implementing Kobai's Knowledge Graph Platform, the firm aimed to unify client information, enhance cross-selling opportunities, and improve overall client engagement.

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