Category: top

  • Classifying Language Models along Autonomy & Trust Levels

    The Problem Language models are everywhere now. People praise them, but also complain about responses—unreliable, hallucination, cannot let it work alone, and so on. These systems, capable of understanding and generating human-like text, are often called copilots—a term borrowed from aerospace or car racing. That term indicates their main expected role being support for the…

  • AI in IT

    AI in IT There are very many interesting ressources out there. AI Prompting and APIs Always Pro / Teams / Enterprise License It’s a race, head to head, best in class is changing all the time Opinion: Microsoft CoPilot is last in class Large enterprises have already built their own company AI platforms supporting switching…

  • Executive Summary: Application Lifecycle in EAM

    Adding data science to data strategy makes transformation to data-driven business manageable

  • Using Cursor AI as Architect and Modeler

    Uncover how AI reshapes systems engineering by analyzing its impact on specific tasks. Learn how to adapt to these changes for increased productivity.

  • Bridging Non-Technical and Technical Teams with Custom Modeling Languages: An E-Commerce Case Study

    In today’s fast-paced business environment, the synergy between non-technical (product) and technical teams is more crucial than ever. Yet, these teams often find themselves speaking different languages, leading to misunderstandings and project delays. How can organizations bridge this gap to foster better communication and collaboration? One effective approach is the use of custom modeling languages…