Abstract: The present disclosure relates to system(s) and method(s) for continuous business optimization of an organization based on a cognitive decision making process. In one embodiment, the method comprises generating an opportunity instance package associated with a business opportunity from a set of business opportunities associated with an organization based on analysis of a stream of raw data. Further, the method comprises generating a strategy using the opportunity instance package and one or more of a predictive technique, prescriptive technique and optimization technique. Furthermore, the method comprises generating a set of instruction associated with one or more actors associated with the organization based on the strategy, thereby enabling continuous business optimization of the organization based on a cognitive decision-making process.

Abstract: Disclosed is a strategy planning system for displaying a narrative content associated to an optimal strategy to be implemented for a business opportunity. The strategy planning system comprises a strategy computation module, a strategy synthesis module, and a strategy customization module. The strategy computation module determines an optimal strategy, amongst a set of strategies, to be implemented for a business opportunity. The strategy synthesis module generates a narrative content for the optimal strategy by selecting a predefined narrative template, comprising a predefined content, associated to the optimal strategy. Post selection of the predefined narrative template, a narrative description for the optimal strategy may be created by performing a Natural Language Generation (NLG) technique on metadata associated to the impact analysis. Subsequently, the narrative description may be appended to the predefined content in order to generate the narrative content for the optimal strategy.

Abstract: The present disclosure relates to opportunity sensing system(s) and method(s) to identify a business opportunity from a set of business opportunities associated with an organization for cognitive decision-making process. In one embodiment, the method comprises receiving a set of batch data associated with a set of symptoms indicative of a business opportunity from a set of business opportunities associated with an organization and obtaining metadata data associated with the business opportunity. The method further comprises detecting one or more symptoms for the set of symptoms based on analysis of the first set of data and the metadata and generating a reason associated with the detected one or more symptom based on execution of a root cause analysis methodology using the metadata data. The method furthermore comprises identifying a business opportunity from the set of business based on the generated reason.

Abstract: Disclosed is a system for determining an optimal strategy pertaining to a business opportunity. In order to determine the optimal strategy, initially, a strategy type selection module stores a set of strategies in a system database. In one aspect, each strategy, of the set of strategies, may be associated to one or more business opportunities. Subsequently, the strategy type selection module selects a subset of the set of strategies applicable to a business opportunity of the one or more business opportunities. In one aspect, the subset may be selected based on a set of parameters associated to the business opportunity. Post selection of the subset, a strategy optimizer module analyzes each strategy of the subset by using one or more predefined computational libraries. In one aspect, a strategy, of the subset, may be analyzed to determine an impact of the strategy.

Abstract: Disclosed is a method for displaying a strategy, pertaining to a business opportunity, during a conversation with a user. Initially, a question is received from a user. Upon receiving, a set of keywords from the question is extracted based on natural language processing techniques. Subsequently, an answer to the question is displayed along with metadata associated to the answer. The metadata is displayed based on a demographic profile of the user. Further, the user is nudged with a set of predefined questions based on the demographic profile and the set of keywords. Furthermore, a set of responses received against the set of predefined questions is analyzed to identify a business opportunity. The set of responses is analyzed based on the set of keywords and the demographic profile. In addition, a strategy pertaining to the business opportunity is displayed based on the question, the set of responses, and the demographic profile.

Abstract: The present disclosure relates to system(s) and method(s) for reflective learning in a cognitive decision-making process. In one embodiment, the method comprises receiving input data and computing a first deviation in user behavior based on input data. The method further comprises classifying the business opportunities and the strategies as one of an accurate business opportunities or an inaccurate business opportunities and an accurate strategies or an inaccurate strategies based on comparison of the first deviation with a predefined threshold and identifying one or more algorithm and metadata associated with the inaccurate business opportunities and the inaccurate strategies. The method furthermore comprises executing one of a retraining of the one or more algorithm, a modifying the metadata associated with the inaccurate business opportunities and the inaccurate strategies or generating a new algorithm thereby enabling reflective learning in a cognitive decision-making process.

Abstract: Disclosed is a knowledge system for retrieving a knowledge object, pertaining to a query, in a cognitive decision-making process. The knowledge system comprises a knowledge access module and a knowledge processing module. The knowledge access module may receive a knowledge request requesting a knowledge object. In one aspect, the knowledge request may be associated to at least one domain. The knowledge access further generates a structured query based on the knowledge request. The knowledge access module further splits the structured query into one or more sub queries. In one aspect, the structured query may be split based on the at least one domain and metadata associated to the at least one domain. The knowledge access module further fetches one or more knowledge objects for each sub query upon executing the one or more sub queries on a system database storing a plurality of knowledge objects.

Abstract: The present disclosure relates to opportunity sensing system(s) and method(s) to identify a business opportunity from a set of business opportunities associated with an organization for cognitive decision-making process. In one embodiment, the method comprises receiving a set of batch data associated with a set of symptoms indicative of a business opportunity from a set of business opportunities associated with an organization and obtaining metadata data associated with the business opportunity. The method further comprises detecting one or more symptoms for the set of symptoms based on analysis of the first set of data and the metadata and generating a reason associated with the detected one or more symptom based on execution of a root cause analysis methodology using the metadata data. The method furthermore comprises identifying a business opportunity from the set of business based on the generated reason.

Abstract: Disclosed is perceptual system for facilitating a stream of data required for data analytics is disclosed. The perceptual system comprises a data ingestion governance module, a data input ports module, a data ingestion module, and an opportunity input packager module. The data ingestion governance module receives an input instruction, from a data analytics system, associated to data required for data analytics. The data ingestion governance module further determines a data source, amongst a plurality of data sources, generating a stream of data. The data input ports module establishes a network connection with the data source in order to extract the stream of data. The data ingestion module transforms the stream of data into a stream of transformed data based on the input instruction.

Abstract: The present disclosure relates to system(s) and method(s) to synthesis a business opportunity identified from a set of business opportunities corresponding to an organization for a cognitive decision-making process. In one embodiment, the method comprises receiving an opportunity instance knowledge object associated with a business opportunity identified from a set of business opportunities corresponding to an organization and generation an opportunity instance knowledge specification. The method further comprise generating a first specification based on the opportunity instance knowledge object and generating a second specification based on the opportunity instance knowledge object.

Abstract: Disclosed is a knowledge system for retrieving a knowledge object, pertaining to a query, in a cognitive decision-making process. The knowledge system comprises a knowledge access module and a knowledge processing module. The knowledge access module may receive a knowledge request requesting a knowledge object. In one aspect, the knowledge request may be associated to at least one domain. The knowledge access further generates a structured query based on the knowledge request. The knowledge access module further splits the structured query into one or more sub queries. In one aspect, the structured query may be split based on the at least one domain and metadata associated to the at least one domain. The knowledge access module further fetches one or more knowledge objects for each sub query upon executing the one or more sub queries on a system database storing a plurality of knowledge objects.

Abstract: Disclosed is a system for determining an optimal strategy pertaining to a business opportunity. In order to determine the optimal strategy, initially, a strategy type selection module stores a set of strategies in a system database. In one aspect, each strategy, of the set of strategies, may be associated to one or more business opportunities. Subsequently, the strategy type selection module selects a subset of the set of strategies applicable to a business opportunity of the one or more business opportunities. In one aspect, the subset may be selected based on a set of parameters associated to the business opportunity. Post selection of the subset, a strategy optimizer module analyzes each strategy of the subset by using one or more predefined computational libraries. In one aspect, a strategy, of the subset, may be analyzed to determine an impact of the strategy.

Abstract: The present disclosure relates to system(s) and method(s) for continuous business optimization of an organization based on a cognitive decision making process. In one embodiment, the method comprises generating an opportunity instance package associated with a business opportunity from a set of business opportunities associated with an organization based on analysis of a stream of raw data. Further, the method comprises generating a strategy using the opportunity instance package and one or more of a predictive technique, prescriptive technique and optimization technique. Furthermore, the method comprises generating a set of instruction associated with one or more actors associated with the organization based on the strategy, thereby enabling continuous business optimization of the organization based on a cognitive decision-making process.

Abstract: Disclosed is a strategy planning system for displaying a narrative content associated to an optimal strategy to be implemented for a business opportunity. The strategy planning system comprises a strategy computation module, a strategy synthesis module, and a strategy customization module. The strategy computation module determines an optimal strategy, amongst a set of strategies, to be implemented for a business opportunity. The strategy synthesis module generates a narrative content for the optimal strategy by selecting a predefined narrative template, comprising a predefined content, associated to the optimal strategy. Post selection of the predefined narrative template, a narrative description for the optimal strategy may be created by performing a Natural Language Generation (NLG) technique on metadata associated to the impact analysis. Subsequently, the narrative description may be appended to the predefined content in order to generate the narrative content for the optimal strategy.

Abstract: The present disclosure relates to system(s) and method(s) for reflective learning in a cognitive decision-making process. In one embodiment, the method comprises receiving input data and computing a first deviation in user behavior based on input data. The method further comprises classifying the business opportunities and the strategies as one of an accurate business opportunities or an inaccurate business opportunities and an accurate strategies or an inaccurate strategies based on comparison of the first deviation with a predefined threshold and identifying one or more algorithm and metadata associated with the inaccurate business opportunities and the inaccurate strategies. The method furthermore comprises executing one of a retraining of the one or more algorithm, a modifying the metadata associated with the inaccurate business opportunities and the inaccurate strategies or generating a new algorithm thereby enabling reflective learning in a cognitive decision-making process.

Abstract: Disclosed is a method for displaying a strategy, pertaining to a business opportunity, during a conversation with a user. Initially, a question is received from a user. Upon receiving, a set of keywords from the question is extracted based on natural language processing techniques. Subsequently, an answer to the question is displayed along with metadata associated to the answer. The metadata is displayed based on a demographic profile of the user. Further, the user is nudged with a set of predefined questions based on the demographic profile and the set of keywords. Furthermore, a set of responses received against the set of predefined questions is analyzed to identify a business opportunity. The set of responses is analyzed based on the set of keywords and the demographic profile. In addition, a strategy pertaining to the business opportunity is displayed based on the question, the set of responses, and the demographic profile.