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
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
A modeling approach to build conversational user interfaces as part of a multiexperience development project
We propose to take advantage of the advances in Artificial Intelligence and, in particular, Long Short-Term Memory Neural Networks (LSTM), to automatically infer heterogeneous model transformations from sets of input-output model pairs.
We present a conceptual reference framework to identify the foundations for intelligent modeling assistance as well as the open challenges and the opportunities they bring to the modeling world.
Our new Chabot DSL, based on state machine semantics, facilitates the creation of bots with complex conversational flows and maximizes the reuse of bot parts in future projects
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