DATA & AI ENGINEERING
Start with the problem. Not the model.
Data and AI create value when they become part of systems that can be understood, governed and measured.
DATA ENGINEERING
Data engineering
Pipelines · Ingestion · ETL · Transformation · Reliability · Reporting
APPLIED AI
Applied AI
Extraction · Retrieval · Assistance · Workflow automation · Decision support · Model orchestration
AI ENGINEERING
AI output is not canonical truth.
Source → Acquisition → Normalization → AI Extraction → Candidate → Validation → Review / Policy → Canonical Data
Controls
Validation · Provenance · Permissions · Audit · Human review · Observability