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US 12,614,317 B2Granted
Virtual world environments for enterprise decision-making
AssigneeSap SE
InventorRamalingam Tv
Life of this patent
Estimating the term…
Abstract
In an example embodiment, machine learning is utilized to create a virtual world where a user can view and interact with data in a graphical environment. This virtual world may be termed a “Story Verse” environment, which can create multiple different virtual world universes capable of segmenting the traditional complexities of Enterprise system data into an easily usable and holistic set. In a further example embodiment, the virtual world is presented in a way that data is represented as real world objects, such as amusement park rides, clouds, etc.
Claims20
A system comprising:
- at least one hardware processor;
- a computer-readable medium storing instructions that, when executed by the at least one hardware processor, cause the at least one hardware processor to perform operations comprising:
- accessing first enterprise system data;
- transforming the enterprise system data into first training data;
- accessing object information about a first set of virtual world objects;
- training a first machine learning model by passing the first training data and the object information into a first machine learning algorithm, the training causing the first machine learning model to learn how to create a mapping between enterprise system data and virtual world objects;
- accessing second enterprise system data;
- transforming the second enterprise system data into first evaluation data;
- passing the first evaluation data and a second set of virtual world objects to the trained first machine learning model to produce a mapping between the first evaluation data and the second set of virtual world objects;
- and
- causing rendering of one or more virtual world objects contained in the produced mapping in a graphical user interface, the one or more virtual world objects being representations of real-world objects, at least one of the one or more virtual objects corresponding to a plurality of data points in underlying enterprise system data and being rendered in a manner that reflects relationships among the plurality of data points.
8 more elements
A method comprising:
- accessing first enterprise system data;
- transforming the enterprise system data into first training data;
- accessing object information about a first set of virtual world objects;
- training a first machine learning model by passing the first training data and the object information into a first machine learning algorithm, the training causing the first machine learning model to learn how to create a mapping between enterprise system data and virtual world objects;
- accessing second enterprise system data;
- transforming the second enterprise system data into first evaluation data;
- passing the first evaluation data and a second set of virtual world objects to the trained first machine learning model to produce a mapping between the first evaluation data and the second set of virtual world objects;
- and
- causing rendering of one or more virtual world objects contained in the produced mapping in a graphical user interface, the one or more virtual world objects being representations of real-world objects, at least one of the one or more virtual objects corresponding to a plurality of data points in underlying enterprise system data and being rendered in a manner that reflects relationships among the plurality of data points.
6 more elements
A non-transitory machine-readable medium storing instructions which, when executed by one or more processors, cause the one or more processors to perform operations comprising:
- accessing first enterprise system data;
- transforming the enterprise system data into first training data;
- accessing object information about a first set of virtual world objects;
- training a first machine learning model by passing the first training data and the object information into a first machine learning algorithm, the training causing the first machine learning model to learn how to create a mapping between enterprise system data and virtual world objects;
- accessing second enterprise system data;
- transforming the second enterprise system data into first evaluation data;
- passing the first evaluation data and a second set of virtual world objects to the trained first machine learning model to produce a mapping between the first evaluation data and the second set of virtual world objects;
- and
- causing rendering of one or more virtual world objects contained in the produced mapping in a graphical user interface, the one or more virtual world objects being representations of real-world objects, at least one of the one or more virtual objects corresponding to a plurality of data points in underlying enterprise system data and being rendered in a manner that reflects relationships among the plurality of data points.
6 more elements
Dependencies are inferred from the claim text.