Data governance for AI: the invisible foundation
Data governance for AI: why data quality beats the model, the pillars of governance, data catalogue and lineage, and GDPR/EU Data Act compliance.
IT project management
IT Project Management | The bridge between the idea and reality
Project management is much more than schedules and budgets. It is the discipline of orchestrating talent, time and resources to reach a common goal. In a volatile environment, planning rigorously and executing flexibly makes the difference. That is why the best teams deliver results, not just manage activity.
Here we approach IT project management not just through its tools, but through the frameworks and mindset needed to deliver real value in every project. Whether you are looking to optimise technical processes or improve the strategic direction of your initiatives, here you will find analysis, guides and reflections based on real experience.
If you are looking for a professional to lead your projects with AI and regulatory compliance, I invite you to see how to hire an AI Project Manager or review my background.
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How to budget an AI project: the hidden costs
How to budget an AI project honestly: the hidden costs, FinOps applied to GenAI, the full life cycle and tying the budget to ROI.
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Change management in AI projects: the human factor
Change management in AI projects: why AI meets resistance, the levers that work, the fear for one’s job, emotions in adoption and why people decide success.
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Certifications for AI Project Managers in 2026: which ones are worth it
A guide to the certifications that genuinely help an AI Project Manager in 2026, what they cover and how to combine them with real experience and practical training.
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KPIs and ROI of GenAI projects: how to measure what really matters
How to measure the ROI of GenAI projects with realistic KPIs, which hidden costs to consider and why time saving is not enough to justify the investment.
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Mandatory AI literacy (Article 4 of the EU AI Act): a plan for your workforce
Article 4 of the EU AI Act makes AI literacy an obligation. What it requires, who it affects and how to set up a demonstrable training plan.
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EU Data Act: what it means for your data and AI projects
What the EU Data Act is, what obligations it introduces on data access, portability and use, and how it impacts your AI and cloud projects.
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AI in the SDLC: integrating artificial intelligence into secure development
A guide to integrating AI into the SDLC phase by phase, maintaining secure development, traceability and regulatory compliance in regulated environments.
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Emotionally intelligent AI in the enterprise: uses, risks and governance for Project Managers (2026)
Does AI feel? How emotionally intelligent AI works in the enterprise, its real uses, its risks and its governance under the EU AI Act, explained by an AI Project Manager.
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Enterprise AI model evaluation: benchmarks, red teaming and metrics 2026
Enterprise AI model evaluation: six critical dimensions, public benchmarks vs your own golden set, red teaming and the metrics you should report to the committee.
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NIS2 penalties 2026: real cases and how to avoid them in IT projects
NIS2 penalties 2026: amounts, real cases, the most punished mistakes and a 90-day plan to reduce your organisation’s exposure to the national authority.
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AI Project Manager portfolio: how to prove impact to recruiters in 2026
AI Project Manager portfolio 2026: a winning structure, how to quantify impact, mistakes that rule you out and SEO so recruiters find you.
