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The enterprise AI blog
Our analyses on enterprise AI, data sovereignty and the practices that actually work.
Economics The cost of enterprise AI: per user, per token or flat rate? Per-user licences, per-token billing or a flat rate per server: three cost models for enterprise AI, and what happens when usage takes off. 
Public sector Local authorities: deploying generative AI without exposing residents’ data Letters, council decisions, citizen services: generative AI appeals to local authorities. How to adopt it while protecting residents’ data. 
Regulation NIS2 and France’s Resilience bill: bringing generative AI into your cybersecurity policy France’s transposition of NIS2 reaches the National Assembly this autumn. Why generative AI tools must fall within your cybersecurity scope. 
News France Num 2026 barometer: 40% of French SMEs use AI, so what now? According to the France Num barometer published on 28 September 2026, 40% of French SMEs use AI, but only 19% pay for a solution. Our reading. 
Best practices Back to work: 5 generative AI use cases to launch before the end of the year Document search, meeting minutes, HR questions, spreadsheets, tenders: five concrete use cases to bring AI into your teams by December. 
Security Ads arrive in ChatGPT in Europe: why your enterprise AI should not be a consumer product Since 24 August 2026, ChatGPT has shown ads in 31 European countries. What this shift says about consumer AI tools, and why businesses need their own. 
Best practices How to write effective prompts for generative AI: the COSTAR method and best practices Context, objective, style, tone, audience, response: use the COSTAR method to write clear prompts and get better answers from generative AI. 
Regulation 2 August 2026: the AI Act’s transparency obligations come into force Despite the Digital Omnibus, Article 50 of the AI Act applies from 2 August 2026. Chatbots, generated content: what businesses must do now. 
Technology Open-weight models in 2026: why local AI has moved up a league Gemma 4, Llama 4, Qwen, Mistral: open-weight models now fit on a single server. What this changes for sovereign enterprise AI. 
Regulation AI Act: the Digital Omnibus is adopted, what changes (and what doesn’t) for businesses Adopted on 29 June 2026, the Digital Omnibus postpones the AI Act’s high-risk obligations, but not transparency. What businesses need to know. 
Security How to avoid Shadow AI in your organization Employees using ChatGPT without oversight? The risks of shadow AI (data leaks, GDPR) and the best way to control it: a secure, internal AI system. 
Security Cloud Act: one year after Microsoft’s admission to the French Senate, where does your data stand? In June 2025, Microsoft France admitted it could not guarantee French data would be kept from US authorities. What this means for your company’s AI. 
Best practices The don'ts of generative AI: mistakes to avoid and best practices Blind trust, sensitive data, bias, compliance: the generative AI mistakes to avoid at work, and the best practices to keep its use safe and reliable. 
Technology Generative AI: Open Source vs. On-Premise — What’s the difference? Open source and on-premise are often confused. What each brings, and why combining them gives businesses generative AI they fully control. Press review
People are talking about Artemia
Articles and interviews about Artemia and sovereign AI in business (in French).
- Informations Entreprise L’IA générative prend racine dans l’entreprise
- Le Journal Toulousain La révolution de l’IA est en marche dans les cabinets juridiques et comptables
- La Dépêche Artemia.ai : une start-up innovante
- GPO Magazine Shadow AI : un danger sous-estimé pour les entreprises
- OkayDoc Artemia.AI : démocratiser l’IA pour les entreprises, une vision éthique et innovante
- Scoop.it · INP-AgroToulouse Un duo de jeunes à la tête d’une start-up innovante
- CCE France Une autre vision de l’IA générative : interculturelle et intergénérationnelle
- We Are Minds L’intelligence artificielle à votre service
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