Abstract: According to some embodiments, system, apparatus and methods are provided comprising one or more component models of an analytic model for an installed product; an application programming interface (API) wrapper associated with each of the one or more component models, the API wrapper including information about one or more inputs to the component model; and wherein the component model and the API wrapper form a self-aware component. Numerous other aspects are provided.

Abstract: According to some embodiments, system, apparatus and methods are provided comprising a platform hosting one or more elements; an application programming interface (API) wrapper associated with each of the one or more elements, the API wrapper including input information to the one or more elements, output information to the one or more elements, and at least one instruction defining a function of the element; and wherein the one or more elements and the API wrapper form a self-aware element. Numerous other aspects are provided.

Abstract: In some embodiments, a selection of one or more data tags of a dataset can be received via a graphical user interface (GUI). The data tags can correspond to data in the dataset, and the data can include training data and testing data. A selection of one or more analytics model building techniques can also be received via the GUI. Then, a data processor can build plurality of analytics models using the training data. Each of the one or more selected analytics model building techniques can be used to build at least one analytics model. After building the plurality of analytics models, the data processor can calculate a performance of each of the plurality of analytics models using the testing data. Based on the calculated performance of each of the plurality of analytics models, the GUI can display a comparison of each of the plurality of analytics models.

Abstract: According to some embodiments, system, apparatus and methods are provided comprising a development environment; one or more system components configured to operate within the development environment; a graphical user interface in the development environment that enables a user to: develop at least one model using an arbitrary language, wherein development of the at least one model includes accessing the one or more system components; wherein the development environment includes program code for a platform in the arbitrary language; and an execution model configured to execute the developed model on the platform. Numerous other aspects are provided.

Abstract: A system for optimizing processing and display of large datasets is provided. The system includes a graphics processing and optimization (GPO) computing device. The GPO computing device is configured to store a dataset including a data point in a memory device, select the data point to display on a display device based on a first display request signal received via a user interface, and accelerate graphical processing of the dataset using optimization algorithms, wherein the GPO computing device is configured to assign a worker process to execute on the data point, The GPO computing device is also configured to convert the data point into a renderable graphics component, and generate a least-compute intensive representation of the data point, and cause the user interface to display a graphical representation of a first subset of the data including the renderable graphics component at a first display resolution.

Abstract: According to some embodiments, system, apparatus and methods are provided comprising a development environment; one or more system components configured to operate within the development environment; a graphical user interface in the development environment that enables a user to: develop at least one model using an arbitrary language, wherein development of the at least one model includes accessing the one or more system components; wherein the development environment includes program code for a platform in the arbitrary language; and an execution model configured to execute the developed model on the platform. Numerous other aspects are provided.

Abstract: According to some embodiments, system, apparatus and methods are provided comprising one or more component models of an analytic model for an installed product; an application programming interface (API) wrapper associated with each of the one or more component models, the API wrapper including information about one or more inputs to the component model; and wherein the component model and the API wrapper form a self-aware component. Numerous other aspects are provided.

Abstract: According to some embodiments, system, apparatus and methods are provided comprising a platform hosting one or more elements; an application programming interface (API) wrapper associated with each of the one or more elements, the API wrapper including input information to the one or more elements, output information to the one or more elements, and at least one instruction defining a function of the element; and wherein the one or more elements and the API wrapper form a self-aware element. Numerous other aspects are provided.

Abstract: A system for optimizing processing and display of large datasets is provided. The system includes a graphics processing and optimization (GPO) computing device. The GPO computing device is configured to store a dataset including a data point in a memory device, select the data point to display on a display device based on a first display request signal received via a user interface, and accelerate graphical processing of the dataset using optimization algorithms, wherein the GPO computing device is configured to assign a worker process to execute on the data point, The GPO computing device is also configured to convert the data point into a renderable graphics component, and generate a least-compute intensive representation of the data point, and cause the user interface to display a graphical representation of a first subset of the data including the renderable graphics component at a first display resolution.