Artificial Intelligence and AI Act
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AI Deep Learning Engineer: the craft of neural networks, between theoretical foundations and market demand
Deep-learning architectures have rewritten the recent history of Artificial Intelligence, from vision to language; and those who can design, train and bring them into production are among the profiles that the European needs analyses flag as most needed. Inside the craft of the AI Deep Learning Engineer: what it truly requires, beyond enthusiasm for neural…
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AI Data Engineer: data do not move on their own. The profile Europe seeks and struggles to find
Every Artificial Intelligence model lives on the data that someone has collected, cleaned, transformed and served: that someone is the AI Data Engineer, whom the European needs analysis places among the most needed roles and whom businesses, according to the Union’s statistics, genuinely struggle to find. Inside a craft of architectures, data pipelines and a…
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AI Prompt Engineer: the urgency certified by Europe and a craft that is not what it seems
The European analysis of Artificial Intelligence skills needs says it plainly: the prompt engineer is an emerging role that requires urgent attention, and the training on offer is almost non-existent. Yet few crafts are so misunderstood: it is not about chatting with machines, but about designing, validating and maintaining the instructions, context and controls of…
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AI Algorithm Engineer: the engineering that decides how much Artificial Intelligence costs, consumes and can withstand
Every Artificial Intelligence system has a bill to pay in computation, energy and latency: those who cut it without sacrificing accuracy and robustness practise one of the most technical and least visible crafts in the whole sector. The AI Algorithm Engineer, between mathematical modelling, performance optimisation and a European market that for ten years has…
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Chief AI Officer: the role that answers for Artificial Intelligence, from Washington to European business
In the United States, every federal agency is required to designate one, by executive directive; in Europe, it is the organisational answer to the most uncomfortable question of the moment: who is ultimately accountable for the Artificial Intelligence an organisation uses? A portrait of the Chief AI Officer – between the American mandate, Europe’s demand…
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AI Consultant: when skills cannot be found, they are bought. The Artificial Intelligence consultant
In 2023, more than half of the European businesses that looked for IT specialists failed to find them: it is in this structural shortage that the market for Artificial Intelligence consulting has its roots. But what sets an AI Consultant apart from a seller of enthusiasm? The international sources, the ethics of the role and…
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AI Product Manager: why adopting Artificial Intelligence is, above all, a product discipline
Organisations buy models and get demonstrators; few turn Artificial Intelligence into products that people actually use. The difference, argue Stanford faculty in the Harvard Business Review, lies in the disciplines of product management. A portrait of the AI Product Manager: the craft, the figures of a growing global demand and the Italian benchmark. The thesis…
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Mapping the risks of Artificial Intelligence: NIST, MIT, CSA and ENISA compared
Before managing AI risks you have to be able to name them. Four tools, all public and free, offer as many perspectives: NIST’s management framework, MIT’s taxonomic repository with over 1,700 catalogued risks, the Cloud Security Alliance’s controls matrix and ENISA’s cybersecurity framework. A reasoned map for those building AI governance. Anyone setting out to…
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Facial recognition in Italian cities: the moratorium extended to 2027 and the AI Act’s limits
After Trento, the Garante scrutinised Rome’s metro and Turin’s “intelligent” cameras. Meanwhile, the Italian moratorium on the use of facial recognition in public places has been extended to 31 December 2027, and the AI Act has set directly applicable prohibitions, from the scraping of facial images to real-time remote biometric identification. The updated map of…
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ISO/IEC 42005 and the impact assessment of AI systems: a compass between FRIA and DPIA
Published in May 2025, ISO/IEC 42005 offers organisations guidance for assessing the impact of AI systems on individuals, groups and society. A voluntary tool that sits in an ecosystem crowded with mandatory assessments: the FRIA of Article 27 of the AI Act and the DPIA of Article 35 of the GDPR. How do these three…