Blog
Field notes on Knowledge Graphs, MCP and on-prem GenAI.
Practical write-ups from real engagements — architecture decisions, gotchas, and what actually works in regulated environments.
2026
How Knowledge Graphs Improve Multimodal Clinical Risk Prediction
Inside MedKG-Signal: combining physiological signals, clinical text, and graph-grounded evidence for explainable clinical risk prediction.
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2026
6 Engineering Decisions That Make AI Actually Ethical
Ethical AI isn't a policy poster — it's six architecture decisions: evals, attribution, audit logs, residency, grounding, and human-in-the-loop. Frameworks from mentoring founders at the 2026 IEEE Tech Summit: Ethical AI.
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2026
From Proof of Concept to Production: Azure AI That Actually Ships
90% of Azure AI demos work — most never ship. A field guide to closing the POC-to-production gap with grounding, externalized state, identity, observability and compliance.
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2026
Building Auditable Deep-Research Agents: GraphRAG, Multi-Hop Reasoning & Source Attribution
Enterprise deep research fails not from lack of facts, but lack of trust. A complete architectural blueprint for building auditable deep-research agents using GraphRAG, MCP, multi-hop reasoning, and verifiable source attribution.
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2024
Dubai Traffic Analysis — Data Science in the Public Sector
How we combined GIS, time-series and ML to model Dubai traffic flow and surface actionable insights for planners.
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For the full content hub with AI, enterprise AI, and medical AI topics, visit /articles. Looking for definitions instead? See the Enterprise RAG & GenAI glossary.