Method and system for evaluating risks associated with implementation of computing resources optimization recommendations

A system for evaluating risks associated with implementation of a plurality of computing resources optimization recommendations, the system comprising:

• at least one memory storing instructions;
• and
• at least one processor communicatively coupled with the at least one memory and configured to execute the instructions to perform operations comprising:
• receiving the plurality of computing resources optimization recommendations that are generated during a predetermined time duration;
• generating a parquet file according to a predetermined format, the predetermined format including a set of fields representing information of the plurality of computing resources optimization recommendations;
• processing the parquet file to obtain values corresponding to a subset of the set of fields for a computing resources optimization recommendation of the plurality of computing resources optimization recommendations;
• providing the values corresponding to the subset of the set of fields for the computing resources optimization recommendation as an input context to generate a prompt;
• generating, using a Generative Artificial Intelligence (Gen AI) model, an optimization implementation risk indicator (OIRI) score and an OIRI assessment of the computing resources optimization recommendation based upon the prompt;
• and
• causing display of the OIRI score and the OIRI assessment along with the computing resources optimization recommendation in a graphical user interface of a client device of a user.

A non-transitory computer-readable media (CRM) having instructions stored thereon, which when executed by at least one processor of at least one computing device, cause evaluating risks associated with implementation of a plurality of computing resources optimization recommendations by performing operations comprising:

• receiving the plurality of computing resources optimization recommendations that are generated during a predetermined time duration;
• generating a parquet file according to a predetermined format, the predetermined format including a set of fields representing information of the plurality of computing resources optimization recommendations;
• processing the parquet file to obtain values corresponding to a subset of the set of fields for a computing resources optimization recommendation of the plurality of computing resources optimization recommendations;
• providing the values corresponding to the subset of the set of fields for the computing resources optimization recommendation as an input context to generate a prompt;
• generating using a Generative Artificial Intelligence Model (Gen AI mode), an optimization implementation risk indicator (OIRI) score and an OIRI assessment of the computing resources optimization recommendation based upon the prompt;
• and
• causing display of the OIRI score and the OIRI assessment along with the computing resources optimization recommendation in a graphical user interface of a client device of a user.