Camgian Launches Enhanced Cognition Platform for Advanced Data Utilization and CBM+ Implementation
Boosting efficiency through data optimization, visualization, and a framework for machine learning and predictive maintenance for a Global Rail Infrastructure Service Provider
Problem
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Insufficient Data Utilization: Client desired to leverage operational data for advanced insights and better maintenance prioritization.
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​Outdated User Interface: The client’s current user interface was outdated and lacked scalability, hindering their ability to pursue advanced analytics and generate meaningful insights.​
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Need for Real-Time Tracking: There was a need for real-time or near real-time tracking of assets to improve operational visibility and responsiveness.​
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Need for Advanced Visualization: Required a UI for enhanced data display and global fleet management that could function as a network operations center.
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Desire to Outsource Analytics: Wanted to focus on core job tasks and sought out a SaaS solution that outsourced data analytics and insights to experts.
Solution
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Scalable Cognition Platform: Deployed a flexible Integrated Data Platform (IDP) for seamless scaling with increasing assets and users.
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Cloud-Based SaaS Architecture: Developed as a cloud-hosted SaaS solution, minimizing the need for internal support and maintenance by the client.
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Enhanced User Interface: Implemented an advanced interface with improved visualization, color-coding, and reporting.
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Advanced Analytics Infrastructure: Built to support growth in analytics, algorithms, and machine learning for condition-based monitoring (CBM+) and predictive maintenance.
Conclusion
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User-Friendly Dual-Language UI: Simple, scalable design with dual-language support for easy integration into existing workflows.
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Cloud-Based Service for Global Reach: Currently supports over 50 global users and delivers platform-generated email reports to approximately 30 additional users.
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Enhanced Data Adoption and Situational Awareness: Facilitates organizational adoption of data, improving understanding of fleet and assets enhancing operational readiness and efficiency.
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Improved Data Adoption: Boosts data driven decision making and operational readiness and efficiency for fleet and assets.
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Scalable Cognition Platform: Supports direct end-customer service inquiries and can be integrated as an add-on service to third-party partners in the future.
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Iterative Analytics: Supports data science and engineering for developing CBM+ and predictive maintenance, enhancing actionable intelligence and prioritized maintenance.
