Portfolio Marco van Hurne

Whitepapers

I’ve written a range of papers that discuss some of the most pressing topics in AI and business today. From foundational work on Machine Learning and Data Governance to developing advanced algorithms for dynamic profiling and outcome-based referrals for Public Employment Services. I have explored Agentic AI and introduced the GEAF Enterprise Agentic Framework, which helps businesses create enterprise ready Agentic applications. Add to that my work on MLOps and digital transformation, and you’ll find a consistent theme: practical strategies that bridge AI-technology with real-world needs.

Generic Enterprise Architecture Framework (draft)

the-geaf_67728137Download

AI in Cybersecurity whitepaper

Cybersecurity and Artificial Intelligence Threats and OpportunitiesDownload

Research papers on applying Machine Learning to improve employability

Applied Machine Learning for PES – Dynamic Profiling SystemDownload
Applied Machine learning for PES – Outcome Based Referral SystemDownload

A whitepaper on how to implement ML-Ops

mastering-mlops-strategies-for-ctos-managing-machine-learning-projects_677273efDownload

A whitepaper on Agentic | Autonomous AI

autonomous-ai-agents-a-beginner-s-guide-for-tech-leaders_67727278Download

How to implement Data Governance

data-governance-a-strategic-guide-for-executives_677274c8Download

The foundations of AI: Data engineering and data platforms

mastering-data-platforms-a-blueprint-for-executive-excellence-1_6772750cDownload

Channels

TTS

About thIS site

This is my portfolio. A glimpse into the things, and stuff that define what I do.

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