In-depth articles, field insights and practical tutorials, by a consultant who codes and ships.
Autonomous agents are no longer a promise: they're running in production. Here's what we've observed in the field and why most companies still struggle with deployment.
Autonomous agents are no longer a promise: they're running in production. Here's what we've observed in the field and why most companies still struggle with deployment.
Real-world comparison of major language models in 2026: cost, performance, privacy and real use cases.
Data analysts, BI developers, data engineers... Our honest take on the real impact of generative AI on these roles in 2026.
From the initial audit to cloud migration, including data warehouse overhaul. The full breakdown of an engagement that exceeded its goals.
After delivering a dozen AI chatbots for clients, here are the systematic pitfalls every team encounters. Here is how to avoid them.
The technical part is often straightforward. It's the human change that takes time. A full account of a data culture transformation engagement.
Step-by-step guide for a RAG architecture in production: ingestion, vectorization, retrieval, reranking and response quality evaluation.
LoRA, QLoRA, full fine-tuning... Which strategy to choose based on your GPU budget, dataset size and use case.
Beyond "be an expert in...", the chain-of-thought, few-shot, self-consistency and meta-prompting techniques we use in production.
Our stack after 12 months of experimentation: from rapid prototyping to production, including model evaluation.
Why this combination has become the de facto standard for data teams wanting scalability and maintainability without blowing their budget.
We used all three intensively on real data and AI projects. Here's what benchmarks will never tell you.
Gemini 3.5 Flash, autonomous 24/7 agents, Android XR glasses: Google unveiled its most ambitious AI strategy yet. What it means in practice for businesses.
This is no longer a battle of algorithms. It is a war of capital, chips, and data centers. A breakdown of the deal reshaping the global AI ecosystem.
Zuckerberg's group sacrifices 10% of its workforce to fuel Meta Superintelligence Labs. A blunt signal about the real cost of the generative AI race.
On 7 May 2026, the EU Parliament and Council signed the Digital Omnibus on AI. Extended deadlines, lighter obligations, new bans: a complete breakdown of what applies to your organisation.
France ranks 5th globally in generative AI adoption. Yet 80% of companies deploying AI tools are not training their teams. Analysis of the figures and strategic implications.