Abstract: Improved systems and methods for improved management of models for data science can facilitate seamless collaboration of data science teams and integration of data science workflows. Systems and methods provided herein can provide an open, unified platform to build, validate, deliver, and monitor models at scale. Systems and methods of the present disclosure may accelerate research, spark collaboration, increase iteration speed, and remove deployment friction to deliver impactful models. In particular, users may be allowed to visualize statistics about models and monitor models in real-time via a graphical user interface provided by the systems.

Abstract: Improved systems and methods for improved management of models for data science can facilitate seamless collaboration of data science teams and integration of data science workflows. Systems and methods provided herein can provide an open, unified platform to build, validate, deliver, and monitor models at scale. Systems and methods of the present disclosure may accelerate research, spark collaboration, increase iteration speed, and remove deployment friction to deliver impactful models. In particular, users may be allowed to visualize statistics about models and monitor models in real-time via a graphical user interface provided by the systems.

Abstract: Improved systems and methods for improved management of models for data science can facilitate seamless collaboration of data science teams and integration of data science workflows. Systems and methods provided herein can provide an open, unified platform to build, validate, deliver, and monitor models at scale. Systems and methods of the present disclosure may accelerate research, spark collaboration, increase iteration speed, and remove deployment friction to deliver impactful models. In particular, users may be allowed to visualize statistics about models and monitor models in real-time via a graphical user interface provided by the systems.

Abstract: A method and apparatus for creating modifiable and combinable Speech Objects for use in an interactive voice response (IVR) environment. Each Speech Object is for acquiring a particular type of information from a speaker during an interaction between the speaker and a speech recognition mechanism. A Speech Object is an instantiation of a user-extensible class that includes properties, such as prompts and grammars, associated with the corresponding type of interaction. A Speech Object further includes logic for controlling the interaction with the user when executed in a processing system. A Speech Object can be subclassed to add additional properties and functionality to create customized Speech Objects, or such properties can be altered at runtime. Multiple Speech Objects, each for acquiring a particular type of information, can be combined to form a compound Speech Object.