Abstract: Systems and methods provide customers with a need-based warranty using a deep learning neural network. After categorizing, a customer need is mapped to a warranty type based on the SLA needs. Warranties may then be suggested based on customer need. In another embodiment, systems and methods detect an optimal warranty based on part failure and performance of a server. A mean time to resolve or replace can be minimized in future failure instances by comparing the derived replacement time with available warranty offerings to identify potential deviations and thereby recommend an optimal warranty from the available offerings. In a further embodiment, systems and methods identify and offer additional service contracts for vender services. A warranty proposer looks for warranty types that are emitted by a warranty-types analyzer and by a technical-support analyzer. The overlapping warranty offers are provided to customers.

Abstract: Systems, methods, and apparatus are provided for intelligent, integrated, and interactive remote reporting. A remote natural language request for a report may be received from a user at an edge device. A first machine learning model may generate a list of existing reports based on past usage by the user. If no existing report satisfies the request, a second, enterprise-level machine learning model may map the request to relevant data sets and rank the mapped data sets along with additional related data sets based on enterprise-wide usage. An integrated reporting platform may receive selected data sets and report parameters as a JSON request, convert the request to compatible executable instructions, and generate the report. The integrated reporting platform may be a wrapper layer encompassing multiple proprietary reporting engines. Feedback from the integrated reporting platform may be applied to update the machine learning models.

Abstract: System and method for converting a statechart from a first statechart development environment to a second statechart development environment. A first statechart may be received. The first statechart may be created in a first statechart development environment. The first statechart may implement a first functionality. The first statechart may be parsed to determine a plurality of elements of the first statechart. A markup language representation of the first statechart may be generated. The markup language representation may represent the plurality of elements of the first statechart. A second statechart may be generated based on the markup language representation. The second statechart may be in a second statechart development environment. The second statechart may implement the first functionality. The second statechart may be stored.

Abstract: System and method for converting a statechart from a first statechart development environment to a second statechart development environment. A first statechart may be received. The first statechart may be created in a first statechart development environment. The first statechart may implement a first functionality. The first statechart may be parsed to determine a plurality of elements of the first statechart. A markup language representation of the first statechart may be generated. The markup language representation may represent the plurality of elements of the first statechart. A second statechart may be generated based on the markup language representation. The second statechart may be in a second statechart development environment. The second statechart may implement the first functionality. The second statechart may be stored.