Abstract: The present disclosure relates to an intelligent response recommendation system for real-time voice counseling support and a method thereof. In responding to a customer's question by a customer service representative, the system is configured to: extract voice data of a voice call between a first terminal of the customer and a second terminal of the customer service representative and convert the extracted voice data into test data; and search a database for a sentence recognized through linguistic analysis of the text data so as to generate a response to the customer's question, and the customer's speech collected in real time is recognized as a sentence and searched for on the basis of an artificial intelligence language model so that an appropriate response to the customer's question may be derived and recommended in real time, and an accurate and detailed response may be derived regardless of the customer service representative's knowledge or experience, thus providing high-quality customer service.

Abstract: Disclosed are a system and method for reselling a reserved instance, which creates earnings by purchasing a reserved instance from a reserved instance providing system, such as a cloud service system, and reselling the reserved instance to a client, and a recording medium in which a program for executing the method is written. The system purchases a reserved instance from a reserved instance providing system and resells the reserved instance to a client, and includes an instance usage prediction unit for predicting instance usage of a client using a machine learning model pre-trained in relation to the instance usage, a reserved instance purchase quantity determination unit for determining a reserved instance purchase quantity based on the instance usage, a reserved instance purchase unit for purchasing the reserved instance based on the reserved instance purchase quantity, and an instance reselling unit for reselling the purchased reserved instance to the client.

Abstract: The present invention relates to a method for measuring an operation performance of an intelligent information system which is a platform to support automatic collection and analysis for measuring a performance of an operating information system.

Abstract: Disclosed are a system and method for reselling a reserved instance, which creates earnings by purchasing a reserved instance from a reserved instance providing system, such as a cloud service system, and reselling the reserved instance to a client, and a recording medium in which a program for executing the method is written. The system purchases a reserved instance from a reserved instance providing system and resells the reserved instance to a client, and includes an instance usage prediction unit for predicting instance usage of a client using a machine learning model pre-trained in relation to the instance usage, a reserved instance purchase quantity determination unit for determining a reserved instance purchase quantity based on the instance usage, a reserved instance purchase unit for purchasing the reserved instance based on the reserved instance purchase quantity, and an instance reselling unit for reselling the purchased reserved instance to the client.

Abstract: The present disclosure relates to a system and method for managing an integrated account based on a token. A role is automatically set and changed by matching the location and work environment of a user to the account of the user based on information on a task schedule or moving location of the user. Accordingly, a plurality of accounts can be effectively managed. Management convenience can be greatly improved by clarifying an execution target with respect to a manipulation performed in an account and clarifying a reason for the manipulation. Security can be enhanced by restricting a role based on a designated task schedule or an access location.

Abstract: The present invention relates to a method for measuring an operation performance of an intelligent information system which is a platform to support automatic collection and analysis for measuring a performance of an operating information system.

Abstract: A service resource management system, including: a cloud data unit for storing a resource collected from a cloud service; a service group management unit for allocating the resource included in the cloud data unit to set a service group for providing a service; and a service group automatic generation module for automatically generating the service group for classifying the resource according to the setting thereof with the name including a key value or a tag value.

Abstract: A chatbot-based cloud management system, including: an interface for receiving a query from a client through a plurality of access channels, and delivering a response generated in response to the received query to the client; a chatbot engine for performing a response processing to the query based on a chat learning model learned in advance and a chat knowledge context, and outputting event occurrence information when a request event from the query occurs; and a processing engine for confirming failure occurrence situation of an infra where the request event has occurred and providing it to the chatbot engine by generating failure countermeasures corresponding to the failure occurrence situation based on a failure model learned in advance and a failure processing rule, when event occurrence information is received from the chatbot engine.

Abstract: A schedule management method based on a rotation pattern is provided. The schedule management method may include setting a repetition cycle in which a working pattern is repeated, setting a working time with respect to the repetition cycle, generating and displaying a rotation pattern including a repetition pattern of a time block based on the repetition cycle and the working time, assigning at least one worker to the rotation pattern, and generating a schedule including at least one rotation pattern.

Abstract: A search system including: a data management unit for collecting raw cost data including information on a usage amount of the time unit for cloud service resources, a usage log, and cost thereby provided from the cloud service to extract each item of billing history included the raw cost data as an item, setting the item as a search key for cost search, and classifying the cost into each item of the billing history to generate cost data; a cost data unit for storing the cost data; a cost search application for providing an interface for cost search; a filtering unit for setting the search key for each item for cost search, and filtering the result searched from the cost data unit; and a search unit for generating a cost report based on the cost data included in the filtered searched result.

Abstract: A chatbot-based cloud management system, including: an interface for receiving a query from a client through a plurality of access channels, and delivering a response generated in response to the received query to the client; a chatbot engine for performing a response processing to the query based on a chat learning model learned in advance and a chat knowledge context, and outputting event occurrence information when a request event from the query occurs; and a processing engine for confirming failure occurrence situation of an infra where the request event has occurred and providing it to the chatbot engine by generating failure countermeasures corresponding to the failure occurrence situation based on a failure model learned in advance and a failure processing rule, when event occurrence information is received from the chatbot engine.

Abstract: A service resource management system, including: a cloud data unit for storing a resource collected from a cloud service; a service group management unit for allocating the resource included in the cloud data unit to set a service group for providing a service; and a service group automatic generation module for automatically generating the service group for classifying the resource according to the setting thereof with the name including a key value or a tag value.