LLMs in Production: Security, Costs, and Integration Challenges
Are Your Company Data Secure? How Much Does AI Really Cost? Practical answers for deploying LLMs in production while keeping budgets and risks under control.
Prompt Engineering: The Art of Talking to AI and Getting Real Results
Il Prompt Engineering non è magia, ma ottimizzazione dei processi. L’articolo spiega come guidare gli LLM attraverso un contesto chiaro, strutturando richieste efficaci per il business. Approfondisce inoltre le best practice tecniche, come il Few-Shot Prompting e la Chain-of-Thought, per integrare con successo l’intelligenza artificiale in produzione.
Beyond the Hype: What LLMs Are and Why They Change the Rules of the Game
What Are LLMs, Really? Less Hype, More Real-World Use Cases, Concrete Architectures, and Strategic Choices to Bring Them into Production.
OEE: what it is, how to calculate it, and how to improve it
OEE measures the actual efficiency of your equipment. But measuring it manually is of little use. Discover how to calculate it automatically and use it effectively to improve production.
REST APIs: the invisible engine behind your applications
What are REST APIs and why are they essential for system integration? A clear guide to understanding their strategic impact on business.
AI Act: a guide for a safe factory towards August 2026
The AI Act becomes operational: learn how to manage high-risk systems, define responsibilities between providers and deployers, and take the necessary steps to ensure compliance in the Factory 4.0.