Abstract: In one aspect, the present disclosure relates to a method for improved efficiency of an inventory management system. The method can include: performing a first inventory search of inventory data stored in a database using search criteria; receiving, from a beacon sensor, inventory data broadcast from a plurality of beacons; performing a second inventory search by correlating the inventory data broadcast from the plurality of beacons with results of the first inventory search; receiving image data from a camera; performing image classification on the image data to determine one or more class labels for an inventory item within the field-of-view of the camera; performing a third inventory search by correlating the class labels with results of the second inventory search; and presenting results of the third inventory search to a user.

Abstract: A system receives a chat query based on a user interaction on a computing device of user. The system parses the chat query to identify one or more word patterns in the chat query, and determines a matching plug-in from the plug-in library based at least in part on the one or more word patterns in the chat query. The system utilizes the matching plug-in to access one or more resources and determine a chat response for the chat query, and transmit, over the one or more networks, the chat response to the computing device of the user.

Abstract: A system and method including receiving a request to map a first service accessible on a first application stack; determining, based on a combination of metadata of the first service and other services in the first application stack that are related to the first service, metadata associated with entities in the first application stack, and trace data associated with data flows between the entities, a complete mapping of the first service, the other services, and the entities comprising business object representations of the first service and business object representations of other services in the first application stack; deriving, based on the determined complete mapping, service mapping information for the first application stack; and persisting the generated service mapping information and the determined complete mapping in a persistency.

Abstract: A method for recognising individuals at a location may include: locally capturing images of individuals at the location; locally recognising individuals in the images by a local recogniser trained with local; training data for individuals previously recognised, or expected to be, at the location; for individuals that initially cannot be locally recognised, retrieving additional training data from a remote recogniser using query data extracted from the images by the local recogniser; updating the local training data with the additional training data; retraining the local recogniser with the updated local training data to locally recognise the individuals that initially could not be locally recognised, and wherein the local training data, query data and additional training data comprise embeddings extracted from images of individuals.

Abstract: A computing system accesses one or more code lists, each including a plurality of items, each item comprising an alphanumerical machine code mapped to a human recognizable concept. The system may receive a query from a user, determine any matching and/or related items in the code lists, and generate an interactive visualization of the matching items. The visualization allows the user to view and detect relationships between items from multiple code lists in a manner that is not possible through review of the lists separately. The user can select nodes in a tree structured visualization to initiate addition of the corresponding alphanumerical machine codes to a custom code list.

Abstract: A response system may be provided. The response system may include an autonomous drone. The autonomous drone may include a processor, a memory in communication with the processor, and a sensor. The processor may be programmed to build a virtual map of a coverage area, store the virtual map in the memory, receive a deployment signal, deploy the drone in response to the deployment signal, control movement of the drone within the coverage area using the virtual map, collect sensor data of the coverage area using the sensor, and/or analyze the sensor data to generate an inventory list of the coverage area, the inventory list including a personal article within the coverage area.

Abstract: A CDS system including a controller extracting EHRs of an IHG and selecting SMs to form a target patient database, capturing a time interval between each subsequent record for each of the measurements defined by the SMs, computing hospital level features including statistics on the distribution of the captured time intervals for each of the measurements, clustering the plurality of hospitals of the IHG in accordance with the computed hospital level features, determining whether an other hospital is within a threshold distance to a closest one of the plurality of clusters; placing the other hospital in the closest cluster when it is determined that the other hospital is within the threshold distance, and placing the other hospital in a new cluster when it is determined that the other hospital is not within the threshold distance.

Abstract: A computer-implemented method and a smart-learning and knowledge retrieval system (SLKRS) are provided for imparting adaptive and personalized e-learning based on continually artificially learned unique characteristics of a knowledge seeker. A knowledge concept graph is generated for the knowledge seeker continually based on each of the received query and the received feedback by the smart-learning and knowledge retrieval system, thereby artificially learning unique characteristics of the knowledge seeker for measuring an ability of the knowledge seeker to learn and to show continued interest in an e-learning course. The knowledge concept graph is a cognitive blueprint of the knowledge seeker in a domain of knowledge at a point in time. The knowledge concept graph displays levels of granularity comprising one or more of interconnected concepts, categories of concepts, sub-categories of concepts, granular concepts, micro concepts, and macro concepts.

Abstract: A controller generates a software pipeline in response to obtaining an instruction to build the software pipeline for a first user. The controller divides the software pipeline into a plurality of tasks and determining a set of resources for performing each task in the plurality of tasks. The controller reserves the set of resources based on a policy associated with the first user. The controller causes the first software pipeline to run using the set of resources reserved for performing each task in the plurality of tasks.

Abstract: A system and method include reception of a data object template comprising a plurality of fields and a respective value for each of the plurality of fields, determination of at least one master data-dependent field of the plurality of fields, generation of a plurality of data instances comprising the respective value for each of the plurality of fields except for the at least one master data-dependent field, where a value of the at least one master data-dependent field in each of the plurality of data instances is different from the respective value of the at least one master data-dependent field in the data object template, input of each of the plurality of data instances into a machine learning model to determine a likelihood of successful deployment for each of the plurality of data instances, and determination of a second plurality of data instances for deployment based on the determined likelihoods.

Abstract: A computer-implemented method and a smart-learning and knowledge retrieval system (SLKRS) are provided for imparting adaptive and personalized e-learning based on continually artificially learned unique characteristics of a knowledge seeker. The SLKRS ingests data in multiple formats from multiple sources, merges the data into a knowledge base based on computed strengths of terms in the sources, and assimilates the merged data to generate experiences. The SLKRS receives feedback from the knowledge seeker and computes a score based on the feedback and the query to artificially learn unique characteristics of the knowledge seeker. The SLKRS generates a learning path for the knowledge seeker on a graphical output, wherein the learning path's state transition points lead to a projected learning path determined by the knowledge seekers performance over one or more of subtopics, topics, and lessons.

Abstract: The present invention discloses a green knowledge recommendation method based on characteristic similarity and user demands, an electronic device and a computer readable storage medium thereof. The method includes: obtaining a current-search text e and a historical-search-texts set Eu both from a user; constructing a topics dictionary and a subtopics dictionary according to a green knowledge base, and decomposing the e and the Eu on the basis of semantic decomposition; picking words in a text-vector set and a valid-text set that about two dictionaries; finding the corresponding knowledge according to user satisfaction. The invention enables users to quickly find the required content through templating, thus avoiding users' meaningless search, improving search efficiency, and reducing the loss of useless time.

Abstract: An online concierge system generates an item graph connecting item nodes with attribute nodes of the items. When the online concierge system receives a search query to identify one or more items from a customer, the online concierge system parses the search query into combinations of terms and identifies item nodes and attribute nodes related to the search query. The online concierge system may determine that no item nodes meet presentation criteria. The online concierge system may determine that a reformulated search query has a higher conversion probability than the search query received from the customer. The online concierge system reformulates the search query. The online concierge system selects item nodes as search results. The online concierge system transmits the search results to the customer.

Abstract: Example technologies involve media preferences corresponding to multiple user accounts. In an example, a server of a streaming audio service receives, from a first controller interface on a first mobile device, data representing a request to play back a first audio track on a playback device, the first controller interface associated with a first user account of the streaming audio service. In response, the server streams data representing the first audio track to the playback device for playback. While streaming, the server receives, from a second controller interface on a second mobile device, data representing a preference for the first audio track that the playback device is playing back, the second controller interface associated with a second user account of the streaming audio service. The server stores, in a preference database corresponding to the second user account, data representing the preference for the first audio track.

Abstract: A computer-implemented method performed at a server system having one or more processors and memory, the method comprising receiving a set of curated documents comprising one or more documents identified as being relevant to a sector, analyzing the set of curated documents to determine one or more words and a count of each of the one or more words for all documents of the curated set of documents, further analyzing the set of curated documents, by analyzing one or more n-grams based on the one or more words, determining a first score based on a term frequency and a global document frequency of each of the one or more words of each of the one or more n-grams, determining a document vector based on averages of the first score, where the document vector comprises a perfect document for the sector, and storing the document vector in the data store.

Abstract: An encoding unit transforms a piece of text divided into a plurality of spans that are subdivided units of the piece of text and a question which have been input into a vector representation sequence representing a meaning of a span and the question based on the piece of text and the question which have been input using a pre-trained encoding model for transforming input text into a vector representation sequence representing a meaning of the input text. For each of the spans, an evidence extraction unit estimates an evidence score indicating the degree to which the span is suitable as the evidence for extracting the answer using a pre-trained extraction model for calculating the evidence score based on the vector representation sequence.

Abstract: A customized video stream is provided. A second content is searched for that includes the plurality of entities, and a plurality of user data associated with the social media account. A hierarchy of additional content is generated based, at least in part, on the second content that is associated with the plurality of entities, and the user data associated with the social media account, wherein the hierarchy of additional content contains a plurality of second content. A customized video stream is generated based, at least in part, on the video stream and the hierarchy of additional content. The customized video stream is populated on a display screen of the user device, wherein the video stream is displayed on the display screen of the user device, and the hierarchy of additional content is displayed in a portion of the display screen and displayed concurrently with the video stream.

Abstract: When a request to transition use of a first data store to a second data store is identified (e.g., when a new regional computing stack is to be brought online in a network), tables in the second data store are created that correspond to respective ones of tables of the first data store. Data items are then accessed from the first data store and translated into a format interpretable by a remote data storage service. Thereafter, a network-based application programming interface (API) call is performed to store the data items in the remote data storage service using the data items in the second format. The data items as stored in the remote storage service are accessed and imported into the second data store.

Abstract: A system is provided for generating machine learning-based associations for electronic data records. In particular, the system may access one or more relevant databases and use machine learning algorithms to automatically generate associations between certain concepts based on the contents and/or hierarchical structures of such databases. The system may further intelligently calculate weight values for each of the associations that may represent the strength of the relatedness or relevance between concepts. Once the associations are generated, the system may, in response to a query for information related to a certain concept, generate and provide a context-relevant view of the concept to the user. In this way, the system provides an efficient way to correlate information within electronic data records.

Abstract: The present invention discloses a system and method for modeling and monitoring processes in organizations using digital twins. The system has a model builder to create models, communicate with a first user device and create an integrated model of the process called digital twin definition. The digital twin includes a server component for executing the digital twin definition and the server component further communicates with multiple transaction systems and auxiliary systems. The digital twin has a client module that enables output on a second user device and deploys the digital twins to monitor the processes. The present invention discloses method for creating dynamic models and monitor said models using digital twin. The present invention also discloses a method for creating said PLAY.

Abstract: Methods for enhancing or automating a review process of annotation tags for a set of tokens is described. A system may receive a list of tokens with associated tags for each token for a data set and may output any identified inconsistencies where a token is assigned at least two different tags. For example, instead of a human looking at each token individually or taking a sample set of the tags for review, the described techniques may look at all tokens with the associated tags in a set of data and may leverage reorganizing the tokens and associated tags to highlight errors to be fixed. Accordingly, the system may look across all tokens within an entire data set, while a review (e.g., by a human) of possible errors of the data set is limited to the highlighted errors flagged by the system.

Abstract: The various implementations described herein include methods and devices for identifying and presenting content to users. In one aspect, a method includes providing a domain specific language (DSL) tool to a user of the computing device and receiving a plurality of user inputs via the DSL tool. The plurality of user inputs includes: an input identifying a DSL object corresponding to a media pool; an input identifying a DSL object corresponding to a mutator to be applied to the media pool; and inputs identifying a plurality of DSL objects corresponding to respective objectives for a media set list. The method also includes generating the media set list from the media pool based on the mutator and the objectives and presenting information about the generated media set list to the user.

Abstract: This disclosure is directed to systems and methods for generating a communication associated with or based on optimization data. Generating a communication may include (i) receiving first data associated with a first computing device or a first computing device user; (ii) generating at least two of: verification data, consistency data, and activity data; and (iii) generating optimization data.

Abstract: Methods and systems for intelligently recommending selections for a selector control are disclosed. The method includes receiving a recommendation request from a selector control client, the recommendation request comprising a search string and a unique identifier of a user interacting with a selector control; identifying user identifiers of usernames matching the search string; retrieving machine learning features corresponding to the user identifiers of usernames matching the search string; applying a machine learning model to the retrieved machine learning features to assign weights to the retrieved machine learning features; computing recommendation scores for the user identifiers based on the assigned weights to the retrieved machine learning features; ranking the user identifiers based on the recommendation scores; and forwarding a ranked list of user identifiers to the selector control client for displaying in the selector control for selection by the user interacting with the selector control.

Abstract: Presented herein are systems and methods for obfuscating text data elements exchanged with deep learning architectures. A computing system may receive, from a computing device, a first input including a first plurality of data elements to be provided at least in part to a deep learning architecture. The computing system may parse the plurality of data elements of the first input to identify at least one first data element corresponding to an identifier type of a plurality of identifier types. The computing system may generate a second data element corresponding to the identifier type to replace the at least one first data element in the first input. The computing system may generate a first output from the first input by replacing the at least one first data element with the second data element. The computing system may transmit the first output for provision to a deep learning architecture.

Abstract: An electronic device and a method for generating personal mobility device-usage recommendations based on user activity tracking is provided. The electronic device monitors a first set of activities associated with a user. The electronic device determines first information indicating a first time period associated with the monitored first set of activities. The electronic device receives second information indicating a second time period associated with a usage of a personal mobility device to perform a second set of activities. The electronic device compares the determined first information with the received second information. The first set of activities are associated with the second set of activities. The electronic device further generates recommendations associated with the usage of the personal mobility device by the user, based on the comparison of the determined first information with the received second information.

Abstract: A method is provided for improved understanding of text or speech sequences utilizing language neutral verb expression patterns (LNVEP). The LNVEP system deconstructs the text or speech sequences to uncover the LNVEP, which includes one or more essential component categories with a certain verb to yield a universally understandable, appropriate verb expression. The LNVEP identifies the semantic meaning of the text or speech sequences. Each LNVEP corresponds to one of more LNVEP Model that identifies the syntax of the text or speech sequences.

Abstract: In one embodiment, a method comprises: obtaining, by a process, path trace data collected by a plurality of performance monitoring agents across a computer network; obtaining, by the process, one or more catalogs having application-based correlation information for the path trace data; generating, by the process, network mapping directed graphs by correlating the path trace data using the one or more catalogs, the network mapping directed graphs logically comprising nodes categorized at a plurality of levels of aggregation and edges connecting the nodes; associating, by the process, test-based performance data with the edges of the network mapping directed graphs; and providing, by the process, at least one Sankey diagram based on the network mapping directed graphs and test-based performance data associated with their edges for selectable display by a user interface.

Abstract: A method of pushing a video, an electronic device and a storage medium are provided, which relate to a field of data processing technology, in particular to big data technology. The method includes: acquiring first high-quality videos; acquiring posterior data obtained when each first high-quality video is distributed for a first preset number of times as a label for the video; acquiring a first preset number of users earliest interacting with each first high-quality video; generating training samples using the videos as video-side features and the users as user-side features to train at least one ranking model; acquiring a first target user; acquiring one or more candidate videos corresponding to each opinion leader to form a first video set; and pushing, after ranking for the first video set using the at least one trained ranking model, a top second preset number of videos to the first target user.

Abstract: Techniques for ontology linking of unstructured text as a service are described. A service may receive a request to link unstructured text to a standardized ontology, and the service may segment and tokenize the unstructured text and send the result to multiple services implementing multiple deep machine learning models trained to identify particular entities and one or more relationships between entities. The service may perform a search of the standardized ontology to identify a set of similar candidates from the standardized ontology for the detected entities and the one or more relationships, and then rank the set of similar candidates from the standardized ontology according to their similarity to the detected entities within the unstructured text. The output from the service may include a result identifying a highest ranked candidate of the set of similar candidates from the standardized ontology for the detected entities within the unstructured text.

Abstract: Devices, methods, and non-transitory program storage devices (NPSDs) are disclosed herein to provide for the privacy-respectful learning of iconic scenes and places, wherein the learning is based on information received from one or more client devices in response to one or more collection criteria specified as part of one or more collection operations launched by a server device. In some embodiments, differential privacy techniques (such as the submission of predetermined amounts of noise-injecting, e.g., randomly-generated, data in conjunction with actual data) are employed by the client devices, such that any insights learned by the server device only relate to “hot spots,” “themes,” or other scenes, objects, and/or topics that are highly popular and captured in the digital assets (DAs) of many users, ensuring there is no way for the server device to learn or glean any insights related to particular users of individual client devices participating in the collection operations.

Abstract: This disclosure generally relates to computer-based systems configured for one or more novel technological applications of information processing in the field of database resolution from an enhanced query data refinement in an elastic search environment utilizing a machine learning model pipeline to resolve entity records.

Abstract: The information processing device generates headings from structured documents. The acquisition means acquires a structured document including headings and texts. The feature word extraction means extracts feature words from subordinate elements of the heading for the headings included in the structured document. The heading generation means generates a new heading corresponding to the subordinate elements based on the extracted feature words.

Abstract: Disclosed is a content publisher recommender system comprising: a server; a content database, configured within the server, within which are stored one or more channels associated with an end user, wherein the one or more channels stores at least one end user identification and a user historical database including a time log of the end user's activity, a log of search phrases used by the end user, a record of results identified on the search phrases; a ranking of the record of results, a record of which results the end user interacts with and a record of the format of the first clicked results from an end user wherein the search phrases are analysed using natural language processing to reduce the terms of the search phrases to their root form, the terms of the phrase are broken down into their part of speech and all keywords identified during natural language processing have stop words removed; and wherein considerations of the stored data and the analysis provides a ranking for searching to provide recommend

Abstract: The disclosed technology is generally directed to code transparency. In one example of the technology, a claim associated with an application is received. The claim is a document that is signed with a claim signature and that includes evidence associated with a policy, and further includes an expected set of at least one binary measurement associated with the application. The evidence is cryptographically verifiable evidence associated with the application. A trusted execution environment (TEE) is used to provide a distributed ledger. The claim is verified. Verifying the claim includes verifying the expected set of at least one binary measurement associated with the application, verifying the claim signature, and, based at least on the evidence, verifying that the application meets the policy. Upon successful verification of the claim, the claim is appended to the distributed ledger. A ledger countersignature associated with the claim is generated.

Abstract: According to one embodiment, a case query apparatus includes a processing circuit. The processing circuit acquires a query condition represented by a query target. The processing circuit acquires a meta query condition represented by a description concerning a viewpoint to focus on when querying a case similar to the query condition. The processing circuit calculates a similarity degree between the query condition and each of a plurality of reference cases represented by a query target. The processing circuit queries a similar reference case similar to the query condition from a viewpoint of the meta query condition, among the plurality of reference cases, based on the similarity degree. The processing circuit presents a query result on the similar reference case.

Abstract: Computer-implemented systems, method and products configured for providing one or more restriction groups in a content management system are provided. One or more restriction marks may be associated with the one or more restriction groups. At least a first restriction mark may be associated with a first restriction group. The first restriction mark may be assigned to a first content item stored in the content management system, in response to determining that the first content is associated with the first restriction group, the first content item being associated with metadata indicating user access permissions according to the first restriction mark and a security classification. The metadata associated with the first content item may be updated based on the assignment of the first restriction mark to the first content item to allow or limit user access to the first content item.

Abstract: A Data Sample Collection Service (DSCS) may be configured to receive various data sample collection requests from users and to process the one or more requests on behalf of the users. In order to properly describe what kind of Ready-to-Use Data Samples (RDS) a user needs, the DSCS may adopt a Data Sample Template (DST). By using the DST, the user can clearly depict what their desired data samples look like, along with various quality requirements regarding the data samples. The DSCS can further provide a DST Management function to users. In general, DST management involves the processes of DST creation, DST update, DST deletion and DST activation/de-activation. For example, a user may create a DST based on its data sample collection needs. Later, the created DST can also be updated and/or deleted based on dynamic changes to the needs of the user.

Abstract: With digitally stored geographical maps, programmed algorithms can calculate a plurality of territories within a map, the territories being balanced with respect to metric data that is associated with units of the map, using channel flow-based principles of the Constructal Law. One field of application is balanced territories for sales representatives in which units of a map are associated with different customers or entities having different sales volume, unit volume, or other workload associated with the units. As the magnitude of workload metrics changes, territories can be rapidly and efficiently rebalanced.

Abstract: Techniques for associating assets related to events detected in at least one computer network with respective assets in an asset catalog for the at least one computer network. The techniques comprising: obtaining information about an event related to a first asset, the information specifying computer network addressing information for the first asset; generating a signature of the first asset from the computer network addressing information using at least one trained machine learning model, wherein the signature comprises a numeric representation of the first asset; associating the first asset with at least one asset in the asset catalog using the signature and at least one signature of the at least one asset in the asset catalog, wherein the at least one signature was previously determined using the at least one trained machine learning model; and outputting information identifying the at least one asset with which the first asset was associated.

Abstract: Systems and methods for visualization monitoring data from a cloud-based system include obtaining the monitoring data, wherein the monitoring data is based on transactions associated with a plurality of users of the cloud-based system; providing a Graphical User Interface (GUI); obtaining a plurality of filter selections for a plurality of filter types; and displaying a visualization comprising a Sankey diagram of the monitoring data with nodes in the Sankey diagram including each of the plurality of filter types and links between the nodes indicative of the transactions in the monitoring data. The monitoring data can be for one or more of cloud security service transactions, application access via a Zero Trust Network Access (ZTNA) service, and user experience metrics.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement video surveillance with neural networks are disclosed. Example systems disclosed herein include a database to store records of operator-labeled video segments (e.g., as records of operator-labeled video segments). The operator-labeled video segments include reference video segments and corresponding reference event labels describing the video segments. Disclosed example systems also include a neural network including a first instance of an inference engine, and a training engine to train the first instance of the inference engine based on a training set of the operator-labeled video segments obtained from the database, the first instance of the inference engine to infer events from the operator-labeled video segments included in the training set.

Abstract: The present disclosure provides an image recognition method and apparatus, an electronic device and a readable storage medium, and relates to the field of artificial intelligence technologies, such as image processing and deep learning technologies. The image recognition method includes: acquiring a to-be-recognized image, and determining a to-be-recognized subject in the to-be-recognized image; extracting a subject feature of the to-be-recognized subject, and obtaining a target feature according to the subject feature; determining a target candidate feature in a plurality of candidate features using the target feature; and taking a class corresponding to the target candidate feature as a recognition result of the to-be-recognized subject. With the present disclosure, different image recognition requirements may be met, and a speed and accuracy of image recognition may be improved.

Abstract: Unstructured data items are stored at an object storage service. A filtering requirement to be used to generate a result set for an access request is determined. Using a transformed representation of the filtering requirement, a target set of tokens of the filtering requirement which are to be obfuscated within a log record is identified. A log record that comprises substitute tokens for the target set of tokens is generated and stored.

Abstract: Systems, methods, and non-transitory computer-readable medium are disclosed includes for secure online credential authentication. One method includes receiving, over an electronic network, identification information from an identity provider; accessing, from a database, previously stored hashed identification information stored in association with a previous identity provider; comparing the identification information to previously stored hashed identification information; and storing the identification information in association with the identity provider that provided the identification information in the database when the hashed identification information does not match previously stored hashed identification information.

Abstract: A system and method is presented that extracts snippets form web pages according to specially designed logic. The extracted snippets might be made relevant to, i.e., indexed by, a location and time/day applicability. Such snippets may be thought of as apps or services that are defined only when a mobile terminal is in a pre-defined geographical area at a certain time and day (e.g., as defined by a calendar of events). Extracted snippets are stored and made searchable. Methods and a system are described to control the display of snippet search results. Snippets may be selected by user or by programmed logic and executed on the mobile terminal or in remote servers without the need to download the app or source code associated with the snippet.

Abstract: Methods, systems, and computer-readable media for similarity detection based on token distinctiveness are disclosed. A similarity detection system determines candidate items for a seed item based on a comparison of tokens in textual descriptions of the candidate items to tokens in a textual description of the seed item. The system uses machine learning to determine importance scores for the tokens of the seed item. An importance score is determined based on the frequency of the individual token and the frequency of the most commonly occurring token in the candidate items. Importance scores for the same token differ from the seed item to another seed item. Based on the importance scores, the system determines similarity scores for the candidate items to the seed item. The system selects, from the candidate items, a set of similar items to the seed item based (at least in part) on the similarity scores.

Abstract: To provide an information processing system, an information processing device, an information processing method, and a recording medium capable of distributing special content for relieving a user's negative circumstances. According to the present disclosure, there is provided an information processing system including: a communication unit configured to receive at least current position information regarding a user; and a control unit configured to cause the communication unit, if the control unit determines that a predetermined area containing a position indicated by the current position information is an area that makes people staying in the predetermined area feel unpleasant, to distribute specific content to the user.

Abstract: A data marketplace for enriching data records by matching, identifying composite data records, and utilizing Reference Source datasets. Customer data can be tokenized and then subsequently transmitted to a third-party Data Marketplace Platform. Similarly, a Reference Source dataset may be tokenized and transmitted to a Data Marketplace Platform. On the Data Marketplace Platform, the customer data and the reference source data may be compared, wherein certain data attributes (i.e., tokens on the Data Marketplace Platform) may be identified as missing in the customer dataset and present in the reference source dataset. The customer may then have the ability to acquire the missing and value-added data attributes by transacting with the reference source via a data broker, such as the Data Marketplace Platform.

Abstract: A computing system can receive, from a mobile application executing on a mobile device, at least one image that has been captured on the mobile device and corresponds to an interaction. The computing system can extract interaction data from each image. The computing system can transmit a notification to the mobile device indicating that the interaction data has been extracted from the images. The computing system can receive a request to transmit the plurality of interactions to an entity server for processing. The computing system can generate, based on the interaction data, an application programming interface request that is configured to cause the entity server to process the plurality of interactions. The computing system can transmit the application programming interface request to the entity server and receive a confirmation from the entity server that the plurality of interactions have been processed.