Predictive artificial intelligence model generation and execution

A method comprising:

• at a data exchange computing engine comprising a first processor, a first communication interface communicatively coupled to the first processor, and first memory:
• receiving one or more data streams;
• processing, in-real time, the one or more data streams to generate processed data;
• and
• sending, to a model generation and execution computing engine, the processed data;
• and
• at the model generation and execution computing engine comprising a second processor, a second communication interface communicatively coupled to the first processor, and second memory:
• receiving the processed data from the data exchange computing engine;
• and
• updating a first predictive artificial intelligence model using the processed data;
• at a client interface computing engine comprising a third processor, a third communication interface communicatively coupled to the third processor, and third memory:
• receiving a model execution request;
• generating, in response to receiving the model execution request, a first graphical user interface;
• sending the first graphical user interface to an external client computing system, wherein sending the first graphical user interface to the external client computing system causes the external client computing system to output the first graphical user interface to a display device;
• receiving, from the external client computing system, model execution data;
• and
• sending, to a workflow management computing engine, the model execution data;
• and
• at the workflow management computing engine comprising a fourth processor, a fourth communication interface communicatively coupled to the fourth processor, and fourth memory:
• generating, based on the model execution data, one or more model execution instructions;
• and
• sending, to the model generation and execution computing engine, the one or more model execution instructions.

A plurality of non-transitory computer-readable media comprising:

• first non-transitory computer-readable media storing instructions that, when executed by a data exchange computing engine comprising a first processor, a first communication interface communicatively coupled to the first processor, and first memory, cause the data exchange computing engine to:
• receive one or more data streams;
• process, in-real time, the one or more data streams to generate processed data;
• and
• send, to a model generation and execution computing engine, the processed data;
• second non-transitory computer-readable media storing instructions that, when executed by the model generation and execution computing engine comprising a second processor, a second communication interface, and a second memory, cause the model generation and execution computing engine to:
• receive the processed data from the data exchange computing engine;
• and
• update a first predictive artificial intelligence model using the processed data;
• third non-transitory computer-readable media storing instructions that, when executed by a client interface computing engine comprising a third processor, a third communication interface communicatively coupled to the third processor, and third memory, cause the client interface computing engine to:
• receive a model execution request;
• generate, in response to receiving the model execution request, a first graphical user interface;
• send the first graphical user interface to an external client computing system, wherein sending the first graphical user interface to the external client computing system causes the external client computing system to output the first graphical user interface to a display device;
• receive, from the external client computing system, model execution data;
• and
• send, to a workflow management computing engine, the model execution data;
• fourth non-transitory computer-readable media storing instructions that, when executed by the workflow management computing engine comprising a fourth processor, a fourth communication interface communicatively coupled to the fourth processor, and fourth memory, cause the workflow management computing engine to:
• generate, based on the model execution data, one or more model execution instructions;
• and
• send, to the model generation and execution computing engine, the one or more model execution instructions.