Thought leadership riguarda il posizionamento culturale e strategico. Qui non stai semplicemente riportando fatti, ma stai contribuendo a orientare il dibattito. Un suggerimento di questo tipo:
– propone una chiave di lettura originale o controintuitiva;
– connette trend apparentemente separati;
– aiuta decisori e stakeholder a riformulare il problema, non a risolverlo subito;
– è tipicamente utile per contenuti pubblici, keynote, articoli di visione, branding intellettuale.
In pratica, la thought leadership risponde alla domanda: “che storia raccontiamo sul futuro e qual è il nostro punto di vista distintivo?”.
In April 2026, the World Health Organization published a document that should be on the desk of every health system leader in Europe. The report, “Artificial intelligence is reshaping health systems: state of readiness across the European Union,” represents the first comprehensive snapshot of AI deployment across all 27 EU member states. The findings are…
Il 31 agosto 2026 si è chiuso il termine UE per traguardi e obiettivi del PNRR. Controlli, audit e conservazione documentale proseguono fino al 2031. Cosa cambia da oggi.
On May 7, 2026, the EU reached a provisional agreement on the AI Omnibus. High-risk AI deadlines have moved significantly. Here is what changed, what stayed the same, and where to focus now.
AI Week Milano arrives May 19-20 with 700+ speakers and 17 stages. Before the noise, five questions that any serious European AI strategy still needs to answer.
The EIC Accelerator Step 2 closes May 6, 2026. A practical map of the EU funding instruments available for AI projects in 2026 — who they are for, how to choose, and what to avoid.
Update, 31 August 2026. This article was published on 20 April 2026, when 2 August 2026 was still the operative deadline for high-risk AI systems. Regulation (EU) 2026/1744, the Digital Omnibus on AI, entered into force on 27 July 2026 and moved Chapter III, Sections 1 to 3 to 2 December 2027 for stand-alone Annex…
AI agents are moving from pilot to production. Networks of intelligent systems are now orchestrating enterprise workflows — and the organizations redesigning their operating models around this shift are creating advantages that pure tool adoption cannot replicate.
AI governance has moved from a theoretical discussion to a concrete compliance obligation. The EU AI Act and ISO/IEC 42001 are now defining operational requirements — and the organizations that treat governance as a capability, not a constraint, are pulling ahead.
AI introduces a fundamentally different risk profile. Prompt injection, data poisoning, and model supply chain vulnerabilities are creating a new cybersecurity landscape — one that most organizations are not yet equipped to navigate.
AI is no longer just a capability that organizations layer on top of existing systems. It is rapidly becoming foundational infrastructure — with deep implications for strategy, resilience, and competitive positioning.
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