AI blog

The rise of AI is forcing agencies to reinvent themselves: while brands now internalize content and campaigns at a lower cost, agencies must abandon execution to offer greater strategic value (market expertise, AI workflows, AI workflows, training, data intelligence). Their future lies in orchestration rather than production. Trying Claude again can make mistakes. Be sure to check his answers.

AI agents allow SMEs to automate up to 30% of recurring analytical tasks, such as generating reports or monitoring KPIs. Easy to implement with low-code tools and connected to internal data, they free teams from manual tasks to focus on strategic analysis. This technological lever, accessible and pragmatic, reinforces productivity and responsiveness without complicating the organization.

Canva shows that well-integrated AI can simplify the experience rather than complicate it. With its Studio 2.0 Suite, the tool combines creativity and productivity, making creation faster, more intuitive and accessible to everyone, without sacrificing the simplicity that makes it so successful.

In a world where agility and responsiveness have become strategic imperatives, decision-makers are increasingly turning to real-time insights to inform their choices. A recent study reveals that 51% of business leaders plan to adopt real-time analytics solutions in order to speed up their decision-making process.

Artificial intelligence makes it possible to automate the enrichment of product sheets on a large scale, by generating personalized, SEO-optimized, translated, and A/B testable descriptions. The result: considerable time savings, better catalog consistency, and increased sales performance (+10 to +25% conversion). A particularly useful strategy for e-retailers and B2B/B2C businesses with a large catalog.

Why is the AI ambition of companies coming up against the reality of insufficient data quality? Discover the findings of the “2025 Outlook: Data Integrity Trends and Insights” study and the solutions to strengthen your data foundations.

ChatGPT integrates a new shopping feature, allowing you to search, compare, and explore products through a simple conversation. With no ads or direct purchases, the tool offers a smooth, useful, and structured experience based on trusted sources. This evolution shows how AI can simplify everyday decision-making.

What if expertise no longer stopped at a deliverable, but became a living, evolving platform that was continuously accessible thanks to AI? This is precisely what we have been exploring at Strat37 for over a year: a hybrid approach where expertise is no longer delivered as a static service... but as a living, modular and scalable platform. The observation: → Standardized SaaS, even when doped with AI, struggle to meet specific strategic challenges (except in cases of ultra-verticalization). → Traditional consulting, although rich in value, often dies out once the mission is over. In this article, I am sharing our feedback with you: how AI is becoming the bridge between these two worlds, by giving birth to a new form of service — Service as a Platform (SaaP) — that sustainably transforms the relationship between expertise and technology. 📌 We talk about modularity, customer co-management, integration, and continuous learning. And you, have you already implemented SaaP in your organization? What brakes or levers did you identify?

According to Sam Altman, CEO of OpenAI, saying “thank you” or “please” to ChatGPT represents significant energy consumption. Each additional word is treated as a token, requiring more computing power. While the individual impact seems negligible, the cumulative effect of millions of daily interactions could cost tens of millions of dollars in electricity globally. This paradox places us in the face of a dilemma: should we prioritize our habits of politeness or adopt digital sobriety? A balanced approach would be to be concise with AIs while maintaining our courtesy for human interactions. Ironically, in this technological context, politeness comes at a very real price.

The new OpenAI models, o3 and o4-mini, mark a breakthrough: AI is no longer content with responding, it reasons and acts independently. These advances make it possible to deal with complex business issues from end to end — financial modeling, anomaly detection, opportunity scoring, logistics simulations — without human supervision. Thanks to their integration via API, these AIs are transforming business tools.

La galerie de prompts Copilot proposée par Microsoft est une ressource pratique pour tous ceux qui utilisent Microsoft 365 et souhaitent optimiser leur usage de l’IA. Elle regroupe des exemples de requêtes prêtes à l’emploi, filtrables par application (Word, Excel, Outlook…), type de tâche (rédiger, organiser, résumer…) et type de travail (communication, gestion de projet, analyse…). Cette galerie permet de gagner du temps, de structurer plus efficacement ses demandes à Copilot et de découvrir des cas d’usage concrets facilement adaptables.

Knowledge Graphs allow data to be linked together in an explicit and logical way, unlike SQL databases (rigid) or NoSQL databases (flexible but not connected). They offer an ideal framework for AIs like ChatGPT, providing context, accuracy, and reducing hallucinations. Thanks to their flexibility, they perfectly complement existing systems and pave the way for advanced use cases: AI assistants, internal search engine, smart recommendation, etc.

OpenAI has just launched the OpenAI Academy, a free platform dedicated to those who want to use AI to meet concrete challenges. Training, API credits, technical support and the international community: this initiative marks a key step towards a more accessible, field-oriented AI. In this article, Strat37 looks back at this launch and what it reveals about current trends in the adoption of artificial intelligence in businesses.

OpenAI has just launched Sora, an image generator integrated into ChatGPT via the Gpt-4o model. This new tool significantly improves image quality compared to the old DALL-E, with more accurate visuals, better text readability, and an increased ability to handle complex requests. Even better, it is available for free to all ChatGPT users.

The emergence of generative AI, especially since the launch of ChatGPT, is profoundly transforming the developer market. According to data from the Bureau of Labor Statistics, traditional programmer positions fell by -27.5%, while senior developer and architect positions fell by only -0.3%. This trend shows that automation mostly impacts basic programming tasks, while skills in system design, complex problem solving, and collaboration remain essential. The developers who will succeed will be those who know how to use AI as an efficiency tool, while continuing to learn and refine their analytical and organizational skills. For companies, this means training their teams in generative AI tools and recruiting profiles capable of bringing real added value.