System and method for providing assistance during high-impact events

A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:

• implementing a suite of artificial intelligence (AI) assistants;
• gathering real-time dynamic data associated with a first high-impact event, wherein the first high-impact event comprises a wide-area event adversely affecting a network infrastructure of a telecommunications network;
• generating high-dimensional feature vectors representing attributes of the first high-impact event, the attributes comprising at least one of disaster type, geographic impact, infrastructure damage, network performance metrics, and resource availability;
• storing the high-dimensional feature vectors in a quantum-classical vector database (Q-CVDB), the Q-CVDB comprising a classical database management system configured for vector preprocessing, indexing, and storage, the Q-CVDB further comprising a quantum processing unit (QPU) configured to execute a quantum search algorithm over qubit-encoded vectors;
• performing a similarity search, using the quantum search algorithm executed by the QPU, over qubit-encoded vectors derived from the high-dimensional feature vectors;
• the suite of AI assistants generating prompts for a generative AI trained for high-impact events based on results of the similarity search and the real-time dynamic data;
• receiving a recommendation of actions addressing issues related to the first high-impact event from the generative AI;
• repeating the generating and receiving steps until the recommendation received from the generative AI is refined;
• and
• the suite of AI assistants providing the recommendation to a user.

A method, comprising:

• effectuating, by a processing system including a processor, a suite of artificial intelligence (AI) assistants;
• collecting, by the processing system, real-time dynamic data associated with a first high-impact event, wherein the first high-impact event comprises a wide-area event adversely affecting a network infrastructure of a telecommunications network;
• generating, by the processing system, high-dimensional feature vectors representing attributes of the first high-impact event, the attributes comprising at least one of disaster type, geographic impact, infrastructure damage, network performance metrics, and resource availability;
• storing, by the processing system, the high-dimensional feature vectors in a quantum-classical vector database (Q-CVDB), the Q-CVDB comprising a classical database management system configured for vector preprocessing, indexing, and storage, the Q-CVDB further comprising a quantum processing unit (QPU) configured to execute a quantum search algorithm over qubit-encoded vectors;
• performing, by the processing system, a similarity search, using the quantum search algorithm executed by the QPU, over qubit-encoded vectors derived from the high-dimensional feature vectors;
• generating, by the suite of AI assistants, prompts provided to a generative AI trained for high-impact events, wherein the prompts are based on results of the similarity search and the real-time dynamic data;
• receiving, by the suite of AI assistants, a recommendation of actions addressing issues related to the first high-impact event from the generative AI;
• repeating, by the suite of AI assistants, the generating prompts and receiving the recommendation steps until the recommendation received from the generative AI is refined;
• and
• providing, by the suite of AI assistants, the recommendation to a user of the suite of AI assistants.