Generation of replacement entity data to replace a computing entity

A computer system, comprising:

• a processor set;
• one or more computer-readable storage media;
• and
• program instructions stored on the one or more computer-readable storage media, the program instructions executable by the processor set to cause the processor set to:
• receive image data associated with a computing entity;
• obtain sensor data associated with the computing entity, wherein
• the sensor data is obtained from one or more sensors associated with the computing entity, and
• the sensor data indicates a hardware malfunction of the computing entity;
• perform a resizing operation and a normalization operation on the image data;
• convert, based on the resizing operation and the normalization operation, the image data into vector representations of the image data;
• embed the vector representations of the image data with the sensor data to generate embedded data;
• train a first artificial intelligence (AI) model to recognize and differentiate between different computing entities, wherein the different computing entities include the computing entity;
• apply the first AI model to the embedded data;
• determine entity data associated with the computing entity based on the application of the first AI model to the embedded data;
• generate replacement entity data based on the entity data, wherein the replacement entity data is associated with a replacement computing entity of the different computing entities to replace the computing entity;
• and
• output the replacement entity data.

A computer-program product for generation of replacement entity data to replace a computing entity, the computer-program product comprising:

• one or more computer-readable storage media;
• and
• program instructions stored on the one or more computer-readable storage media to perform operations comprising:
• receiving image data associated with the computing entity;
• obtaining sensor data associated with the computing entity, wherein
• the sensor data is obtained from one or more sensors associated with the computing entity, and
• the sensor data indicates a hardware malfunction of the computing entity;
• performing a resizing operation and a normalization operation on the image data;
• converting, based on the performing of the resizing operation and the normalization operation, the image data into vector representations of the image data;
• embedding the vector representations of the image data with the sensor data to generate embedded data;
• training a first artificial intelligence (AI) model for recognizing and differentiating between different computing entities, wherein the different computing entities include the computing entity;
• applying the first AI model to the embedded data;
• determining entity data associated with the computing entity based on the applying of the first AI model to the embedded data;
• generating the replacement entity data based on the entity data, wherein the replacement entity data is associated with a replacement computing entity of the different computing entities to replace the computing entity;
• and
• outputting the replacement entity data.