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”.
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.
Increasing complexity of model-based systems opens the door for recommender systems that could assist us in creating, repairing, reusing, … our models and transformations.
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.
