The perfect three-way: data, models and AI
In the last decade, we have witnessed an explosion of research on new architectures, training methods, fine-tuning strategies, etc. for machine learning (ML). But we are now entering a new phase where all these new approaches are becoming a commodity. Platforms like...
Software process modeling with SPEM
Software is becoming more and more complex and require new development practices. In this post we argue the need for better software process modeling tools and revisit the state of the art of SPEM modeling tools.
Managing Belief Uncertainty in Models
We show how domain experts can individually reason about their models and combine their opinions to reach a consensus on the models and objects they are modeling
To model or not to model – that is the WRONG Question
The discussion about whether modeling is good or bad is not the correct one. We all and always create at least a mental model of the system before coding it.
PapyGame – Let’s play modeling
PapyGame is an initiative to gamify the process of learning modeling. It’s a gamified version of Papyrus that instructors can use to easily create new modeling games to help students learning any specific modeling aspect.
Debugging Unsatisfiable Integrity Constraints in UML/OCL Class Diagrams
Learn about MVM (Model Validator Mixer), a modeling tool for domain engineers that helps them locate, understand and fix consistency problems in UML/OCL class diagrams
Talking to Dimensional Data Through Chatbots
When querying multidimensional databases, finding information may be a complex task for end users. Chatbots can minimize this issue, facilitating query formulation and allowing the user to “talk to the data”.
Integrating Content Management Systems in model-driven processes
Learn how to discover the data behind a content-management system and generate the code to interact with the CMS API to get and modify that data. All following a platform-independent modeling approach
ModelRunner: an Open Source, No-Code, NLU and voice ready Data Platform
ModelRunner comes with a voice interface to both design and interact with your data-driven application. All by relying on a domain model, including for the NLU part.
Recommender systems in model-driven engineering
Increasing complexity of model-based systems opens the door for recommender systems that could assist us in creating, repairing, reusing, … our models and transformations.
Model-driven and no-code solutions to build AI systems without coding
A selection of visual modeling and no-code environments for data science, machine learning and smart apps. The fastest way to start building your own AI components and ML models
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