Artefact Blog

On July 5, 2026, Vincent Luciani, Co-founder and Executive Chairman of Artefact, was the guest on the Generation Do It Yourself podcast, hosted by Matthieu Stefani, for a three-hour interview. This conversation pulls back the curtain on the behind-the-scenes reality of the artificial intelligence industry, from corporate data governance to the true state of digital sovereignty. 1.

BERLIN, GERMANY – July 2026 Artefact, a leading global consulting firm dedicated to accelerating the adoption of data and AI, today announced the new address of its Berlin office, now located at the Delta Campus. Situated in Neukölln, the Delta Campus is a highly innovative district known as Berlin’s home for startups and founders.

Faced with transatlantic giants, Europe suffers from a systemic lag: models like Meta AI, Gemini, or Claude consistently arrive on our soil several months late. The diagnosis from ecosystem leaders is clear: while tech adoption within European companies is a reality (91% adoption of hybrid AI), the dependence is absolute. Today, the American Cloud hosts nearly all the innovation driving CAC40 and FrenchTech flagship companies. Yet, a shift is underway.

Dear readers, Welcome to the third edition of Artefact’s Healthcare Quarterly. What distinguishes this quarter is the pace of adoption. Health AI assistants are no longer experimental. According to OpenAI’s January 2026 analysis, roughly 200 million of ChatGPT’s 800+ million regular users submit health-related queries every week. New assistants are launching quickly; most were announced in one quarter, disrupting patients’ daily lives.

Dear readers, Welcome to the first edition of Artefact’s Healthcare quarterly newsletter. Four times a year, we will share thought leadership articles, case studies, and a curated selection of insights from across the healthcare and pharmaceutical sectors, featuring practical learnings and real-world experiences from the field. Healthcare companies face margin pressures, rising R&D costs, and growing complexity, while struggling to attract and retain talent amid significant regulatory uncertainty.

Le 31 mars dernier, a eu lieu le Artefact Webtalks Data & AI – AI for Industry sur le thème « Peut-on confier la résilience, la sécurité et la performance du secteur industriel à l’IA ? ». Cet article stratégique synthétise les interventions et retours d’expérience terrain des experts d’Artefact et de ses partenaires technologiques AVEVA, leader mondial des logiciels industriels et de la transformation numérique, et Neo4j, pionnier des bases de données orientées graphes.

In this month’s edition of the Data & AI Digest: Agentic commerce: When buying becomes delegating Carrefour agentic case: How agentic AI accelerates store openings Knowledge graphs and context engineering: Turning off-the-shelf AI into truly informed enterprise intelligence Bpifrance agentic case: Deploying agentic AI across 500 employees Seeing the invisible: Luxury in the age of agents Artefact at VivaTech 2026 Why the next brand battleground will be fought in front of agents, not humans:...

From “which model should we use?” to “what must we own to keep our future ours?” — why nations and enterprises are converging on the same answer.

Vishu Singhal, Data & Consulting Managing Partner at Artefact, explains how trusted data, responsible AI and strong governance are enabling governments across the GCC to deliver measurable economic impact, resilient public services and long-term competitiveness. Artificial intelligence and data have become central to the GCC’s long-term economic transformation, enabling governments to strengthen competitiveness, accelerate digital innovation and deliver more responsive public services.

Intelligence has never been cheaper. Thinking has never been more expensive. Unfortunately, most organizations budget for the first and starve the second. AI content has never been easier to spot, as you’re probably well aware. You glance at a deck, or read the first three lines of an email, and immediately know whether it was written by a person or by AI. This will only become more obvious as models improve.