DescribeML is a Visual Studio Code plugin to precisely describe machine learning datasets.
Access-control is a key element to manage security in any user interface. This is the first attempt to extend conversational user interfaces with access-control capabilities.
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