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Analytics & AI

AI Transparency & Explainability Reference Architecture

Principal Data Architect
Data Sources Feature Engineering ML Model + XAI Layer Audit Trail + Model Cards SHAP / LIME Explainer AI Governance & Regulatory Compliance
Architecture Highlights
  • AI governance guideline covering model transparency and accountability
  • Reference architecture for Explainable AI (XAI) in regulated oil & gas environments
  • Model card standards and lineage tracking for ML pipelines
  • AI risk classification framework aligned with regulatory requirements
  • Audit trail architecture for model decisions and data provenance
Technologies
Explainable AI AI Governance Model Cards ML Pipelines Data Lineage Compliance
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