Abstract: A method includes obtaining chunks of information and generating training samples for an embedding model using the chunks of information. Generating the training samples includes using at least one large language model to generate training samples in which different ones of the chunks of information are and are not relevant to different potential queries. The method also includes training the embedding model using the training samples. In some cases, the embedding model may represent a retriever model. For example, an input query may be obtained at the retriever model, and the retriever model may be configured to identify a specified number of chunks of information relevant to the input query. One or more of the chunks of information may be provided from the retriever model to a generative model, and the generative model may be used to create a response to the input query.

Abstract: A method includes obtaining an input query at a retriever model, where the retriever model includes a reconfigurable sequence of one or more rankers selected from among a plurality of rankers. Each ranker is configured to identify a specified number of information chunks relevant to the input query. The method also includes providing one or more of the information chunks from the retriever model to a generative model. The method further includes using the generative model to create a response to the input query, where the response is based on the one or more information chunks. The plurality of rankers includes a bi-encoder, a cross-encoder, and a large language model (LLM)-ranker.

Abstract: Embodiments of the present disclosure disclose methods and systems for generating operational alarms for a plurality of clients, the operational alarms being generated by a business performance system, each client being associated with a plurality of Key Performance Indicators (KPIs). An aggregate rank for each client based on ranks of each KPI is generated. For each client: the aggregate rank of the client over one or more time periods is monitored. If the aggregate rank deteriorates over the one or more time periods, a severity indicator is determined based on change of value of each KPI and change of rank of each KPI for the client over the one or more time periods. An operational alarm based on value of the severity indicator is determined. The operational alarm is displayed on a user interface, wherein the operational alarm displays one or more KPIs with highest severity values.

Abstract: The disclosed embodiments illustrate a method and a system for managing crowd-sensed data, associated with events occurring in a geographical area. The method includes receiving crowd-sensed data from one or more data sources, wherein the crowd-sensed data comprises one or more event reports associated with at least a type of each of one or more events reported by the one or more data sources. The method further includes generating a data structure based on an aggregation of the received crowd-sensed data. Further, the method includes determining first information and second information based on at least the generated data structure, a reputation score of each of the one or more data sources and metadata associated with each of the one or more event reports. The method further includes displaying at least the determined first information and second information based on at least a prioritization of the one or more events.

Abstract: A crime analysis system, method, and apparatus comprising at least one processor and a storage device communicatively coupled to the at least one processor, the storage device storing instructions which, when executed by the at least one processor, cause the processor to perform operations comprising receiving information provided by one or more data collection source, storing the information, wherein the stored information is formatted, processing the information to generate crime clustering data associated with at least one region and at least one crime, processing the crime clustering data associated with at least one region and at least one crime to generate benchmarking of the at least one region with at least one other region, and providing crime clustering data associated with at least one region and at least one crime, and benchmarking of the at least one region with at least one other region for presentation through a user interface.

Abstract: A method and a system are provided for auto-allocation of one or more tasks to one or more resources of an organization. The method includes receiving one or more requests from a requestor computing device associated with the organization over a communication network. The one or more requests may include at least one or more first attributes of the one or more tasks and one or more pre-defined constraints. The method further includes extracting one or more second attributes associated with the one or more resources based on at least the one or more first attributes of the one or more tasks. The method further includes determining an allocation of the one or more tasks to the one or more resources based on at least the one or more first attributes and the one or more second attributes, such that the one or more predefined constraints are satisfied.

Abstract: The disclosed embodiments illustrate method and system for data processing to recommend a list of physical stores in real-time for user-specified products and/or services. The method includes receiving a request, that comprises one or more products and/or services and one or more user-defined parameters, from a user-computing device. The method further includes aggregating information associated with the received request, profile information of a user, real-time traffic information, and geographical locations of a plurality of physical stores. Further, the method includes generating a recommendation list based on the aggregated information and a similarity score of the user for each of the one or more products and/or services. The method further includes transmitting the generated recommendation list to the user-computing device. The user may select a recommendation from the recommendation list for purchasing and/or availing products and/or services based on the selected recommendation.

Abstract: Embodiments of the invention provide a non-web based social networking system enabling users having limited Internet connectivity and/or limited access to high end mobile computing devices a cross networking opportunity with web-based social networking sites. Embodiments of the invention provide for additional communication modalities between social networking users, including but not limited to non-web based communication between the social networking users.

Abstract: The disclosed embodiments illustrate methods and systems for processing customer data to predict behavioral characteristics of a customer in a physical store. The method includes receiving customer data, pertaining to a shopping episode, of the customer from one or more sensing devices. The method further includes segmenting the shopping episode into one or more segments of time durations. The method further includes categorizing each of the one or more segments of time durations into one of an in-aisle category and a non-aisle category. The method further includes identifying hand-related actions of the customer based on the received customer data. The method further includes determining a likelihood of occurrence of an action-related category based on at least the identified one or more hand-related actions. The method further includes predicting the behavioral characteristics of the customer based on at least the determined likelihood of occurrence of the action-related category.

Abstract: The disclosed embodiments illustrate methods and systems for generating recommendations for client process execution of one or more client processes corresponding to a plurality of clients of an organization. The method comprises retrieving an event log including event data captured during execution of one or more processes in the organization to service a plurality of clients of a predefined type. The event log is analyzed across the plurality of clients to determine cross-clientele information including a process compliance deviation between an observed and an expected client process execution of the one or more processes. Thereafter, a set of root-causes of the process compliance deviation is determined based on process models of the one or more processes and/or decision rules of the organization. Further, one or more recommendations for the client process execution of the one or more processes of the organization are generated, based on the set of root-causes.

Abstract: Disclosed embodiments illustrate methods and systems implementable on a computing device for training a crowdworker on one or more skill sets. The crowdworker attempts a first set of tasks. The method includes determining an expertise gap between a current level of expertise possessed by the crowdworker in the one or more skill sets and a required level of expertise in the one or more skill sets. Further, the method includes determining a number of training tasks that the crowdworker has to complete to achieve the required level of expertise in the one or more skill sets. At least one training task pertaining to the one or more skill sets is assigned along with the first set of tasks such that the crowdworker gets trained on the one or more skill sets in a predetermined period without violating a service level agreement associated with the first set of tasks.

Abstract: A method and a system are provided to manage analytics assets associated with at least one computer accessible to an organization using operating system (OS) containers. The method comprising receiving a request to process of a task on the user computing device. The method further select a set of analytics assets from a first category, based on at least one of a role of the user in the organization and a historical usage of the one or more analytics assets or a second category that corresponds to the user and are included in the container image associated with the user. The method further update the container image of the user, based on at least the selection of the set of analytics assets from the first category. The method further render the selected set of analytics assets through the updated container image on the user computing device of the user.

Abstract: Methods and systems are disclosed for providing cloud services to multiple customers in a cloud. One embodiment includes receiving a number of requests for the cloud services from the multiple customers simultaneously or substantially simultaneously; prioritizing the requests based on a probability distribution of actually deploying a service, a budget of the customers, and an expected demand of the requested service based on the probability distribution; generating a number of cloud configurations along with a number of Service Level Agreements (SLAs) for the customers based on prioritization of the requests, a class & past behavior of the customers, and a current demand of the cloud services, the SLAs of the customers include differentiated price offering; recommending the cloud configurations and the SLAs to the customers; allowing the customers to negotiate terms of the SLAs; and providing the cloud services based on the negotiated SLAs to the customers.

Abstract: A crime analysis system, method, and apparatus comprising at least one processor and a storage device communicatively coupled to the at least one processor, the storage device storing instructions which, when executed by the at least one processor, cause the processor to perform operations comprising receiving information provided by one or more data collection source, storing the information, wherein the stored information is formatted, processing the information to generate crime clustering data associated with at least one region and at least one crime, processing the crime clustering data associated with at least one region and at least one crime to generate benchmarking of the at least one region with at least one other region, and providing crime clustering data associated with at least one region and at least one crime, and benchmarking of the at least one region with at least one other region for presentation through a user interface.

Abstract: Disclosed are methods and systems for transmitting a first electronic message to an employee. The method further includes generating a first data structure based on one or more first parameters of one or more electronic messages, one or more demographic attributes associated with the employee and one or more second parameters representative of one or more feedbacks provided by the employee on each of the one or more electronic messages other than the first electronic message. The method further includes determining a priority of the first electronic message, wherein the determination of the priority comprises predicting the one or more second parameters associated with the employee for the first electronic message based on the one or more second data structures. The method further includes transmitting the first electronic message to the employee based on the determined priority of the first electronic message.

Abstract: The disclosed embodiments illustrate a method and a system for managing crowd-sensed data, associated with events occurring in a geographical area. The method includes receiving crowd-sensed data from one or more data sources, wherein the crowd-sensed data comprises one or more event reports associated with at least a type of each of one or more events reported by the one or more data sources. The method further includes generating a data structure based on an aggregation of the received crowd-sensed data. Further, the method includes determining first information and second information based on at least the generated data structure, a reputation score of each of the one or more data sources and metadata associated with each of the one or more event reports. The method further includes displaying at least the determined first information and second information based on at least a prioritization of the one or more events.

Abstract: The disclosed embodiments illustrate methods and systems for processing customer data to predict behavioral characteristics of a customer in a physical store. The method includes receiving customer data, pertaining to a shopping episode, of the customer from one or more sensing devices. The method further includes segmenting the shopping episode into one or more segments of time durations. The method further includes categorizing each of the one or more segments of time durations into one of an in-aisle category and a non-aisle category. The method further includes identifying hand-related actions of the customer based on the received customer data. The method further includes determining a likelihood of occurrence of an action-related category based on at least the identified one or more hand-related actions. The method further includes predicting the behavioral characteristics of the customer based on at least the determined likelihood of occurrence of the action-related category.

Abstract: The disclosed embodiments illustrate method and system for data processing to recommend a list of physical stores in real-time for user-specified products and/or services. The method includes receiving a request, that comprises one or more products and/or services and one or more user-defined parameters, from a user-computing device. The method further includes aggregating information associated with the received request, profile information of a user, real-time traffic information, and geographical locations of a plurality of physical stores. Further, the method includes generating a recommendation list based on the aggregated information and a similarity score of the user for each of the one or more products and/or services. The method further includes transmitting the generated recommendation list to the user-computing device. The user may select a recommendation from the recommendation list for purchasing and/or availing products and/or services based on the selected recommendation.

Abstract: The disclosed embodiments illustrate methods and systems for generating recommendations for client process execution of one or more client processes corresponding to a plurality of clients of an organization. The method comprises retrieving an event log including event data captured during execution of one or more processes in the organization to service a plurality of clients of a predefined type. The event log is analyzed across the plurality of clients to determine cross-clientele information including a process compliance deviation between an observed and an expected client process execution of the one or more processes. Thereafter, a set of root-causes of the process compliance deviation is determined based on process models of the one or more processes and/or decision rules of the organization. Further, one or more recommendations for the client process execution of the one or more processes of the organization are generated, based on the set of root-causes.

Abstract: A method and a system are provided to manage analytics assets associated with at least one computer accessible to an organization using operating system (OS) containers. The method comprising receiving a request to process of a task on the user computing device. The method further select a set of analytics assets from a first category, based on at least one of a role of the user in the organization and a historical usage of the one or more analytics assets or a second category that corresponds to the user and are included in the container image associated with the user. The method further update the container image of the user, based on at least the selection of the set of analytics assets from the first category. The method further render the selected set of analytics assets through the updated container image on the user computing device of the user.