Data Layer
Industrial IoT Data Platform
Demonstrates how operational data is collected, modeled, and exposed through modern industrial data platforms.
View case studyPortfolio
BridgeOps Framework Portfolio
A framework-driven portfolio showing how data, knowledge, intelligence, and automation capabilities connect into operational transformation.
The portfolio is organized around the BridgeOps Framework. Featured framework projects show the core transformation sequence. Additional projects provide supporting evidence across adjacent operational intelligence contexts.
Featured Framework Projects
Knowledge Layer
Engineering Knowledge Assistant
Demonstrates how organizational knowledge can be transformed into governed AI-assisted decision support.
View case studyIntelligence Layer
Predictive Maintenance Decision Intelligence
Demonstrates how operational data can be transformed into explainable maintenance recommendations and operational action.
Health states, RUL, risk scores, and recommendation logic.
View case studySupporting Projects
Supporting case studies that reinforce the same BridgeOps principles across additional domains: decision support, risk prioritization, resource allocation, operational intelligence, and human-centered analytics.
Operational Optimization
Energy Recommendation System
Utility-focused decision support for customer guidance, demand coordination, and operational resilience under uncertainty.
View case studyRisk Prioritization
Risk-Based Clinical Decision Support
Case Study: Heart Failure Readmission Risk Stratification for intervention prioritization and care operations planning.
View case studyTransfer Example ยท Regulated Environment
Clinical Operations Data Platform
Regulated analytics architecture focused on data governance, auditable KPIs, and stronger clinical-operations decision quality.
View case studyThe connecting principle