Abstract: A device may receive a first textual document and a set of second textual documents. The first textual document may identify parameters. The device may process the first textual document, based on a natural language processing algorithm, to identify first values corresponding to the parameters. The device may process the plurality of second textual documents, based on the natural language processing algorithm, to identify second values corresponding to the parameters. Each of the plurality of second textual documents may be associated with one or more respective second values of the second values. The device may determine scores for the plurality of second textual documents. A score may be determined based on comparing one or more of the first values to one or more of the second values associated with a second textual document. The device may provide information identifying the plurality of second textual documents and the scores.

Abstract: Embodiments may include machine learning, including decision tree machine learning. Predictive variables may be selected for the machine learning through an iterative process. Predictive power of the predictive variables and collinearity between the predictive variables may be considered when selecting a set of the predictive variables for the machine learning.

Abstract: A closed-loop natural language query pre-processor and response synthesizer architecture accepts natural language queries and dynamically synthesizes query results. The query results may be in the form of data stories. The architecture identifies, selects, and composes candidate response elements into a coherent and meaningful query result. The architecture also implements an adaptable delivery mechanism that is responsive to connection bandwidth, query source preferences, query source characteristics, and other factors. Feedback from multiple sources adapts the architecture for handling subsequent queries.

Abstract: A cloud migration tool manages and monitors a cloud migration project that migrates data from a legacy environment to a target data center environment. The cloud migration tool includes an analytics engine that applies data regression models to generate a delay risk prediction for activities that are scheduled during the cloud migration project.

Abstract: A multi-layer committed compute reservation stack may generate prescriptive reservation matrices for controlling static reservation for computing resources. A transformation layer of the committed compute reservation stack may generate a time-mapping based on historical utilization and tagging data. An iterative analysis layer may determine a consumption-constrained committed compute state of a distribution of static reservation and dynamic requisition that achieves one or more consumption efficiency goals. Once the consumption-constrained committed compute state is determined, the prescriptive engine layer may generate a reservation matrix that may be used to control computing resource static reservation prescriptively.

Abstract: A machine learning and predictive analytics system is disclosed. The system may comprise a data access interface to receive, over a network, data associated with a subject from a data source. The data source may include an internal data source and an external data source. The system may comprise at least one processor to analyze the data associated with the subject, predict a future life event based on the analysis of the data, and calculate at least one of a financial forecast, a ratio, and an index based on the predicted future life event and data associated with the subject. The processor may use machine learning, statistical analysis, simulation, and/or modeling techniques to analyze the data, predict the future life event, and calculate the at least one of a financial forecast, a ratio, and an index, which may represent likelihood of the subject taking a financial action with a financial institution.

Abstract: A device may receive one or more data models that have been trained using a first set of values that are in a format capable of being processed by the one or more data models. The first set of values may be associated with a set of historical network performance indicators relating to a set of network devices. The device may receive network data that includes network ticket information and performance statistics for the one or more network devices. The device may determine a set of network performance indicators relating to the one or more network devices. The device may convert the set of network performance indicators into a second set of values that are in the format capable of being processed by the one or more data models. The device may use the second set of values to generate one or more recommendations associated with improving network performance.

Abstract: Hardware acceleration supports complex software processes. In particular, a hardware security module provides encryption support for transaction chains. In one implementation, the security module circuitry provides high-speed security features and acceleration of the security features for blockchain processing.

Abstract: Data extraction and automatic validation from digitized documents in non-editable formats is disclosed. Paper documents are digitized or converted into formats suitable for storage on computers or other digital devices. The digitized documents are classified into one of a plurality of document types and based on the document type, document processing rules are selected for analyzing the digitized documents to enable data extraction and automatic validation. The positions and values of the data fields in the digitized documents are obtained using machine learning techniques. The data field values are automatically validated and assigned confidence scores. Data fields with low confidence scores are flagged for manual review.

Abstract: A machine learning travel management system is operable to provide end-to-end travel solutions and bookings based on machine-learning-assisted choice and selection of travel destinations. Travel solutions may include travel destination choices, which in many instances is one of the most difficult decisions made by travelers. Additionally, the system may interact with active bands, which comprise wearable RFID devices. The wearable RFID devices may provide for identification and location determination to provide location-based services. Also, the system may include a mobile application that provides mapping of travel routes and waypoints, which can interact with location information determined based on the active bands.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating database queries, including receiving an asset template, the asset template associated with an enterprise context and one or more enterprise terms; identifying respective mappings of the one or more enterprise terms to one or more database tables; compiling the asset template based on the mappings to provide a database query; providing for display the database query; verifying the database query based on the displaying; receiving, in response to the verifying, an approval signal associated with the database query; storing the database query; querying a different database utilizing the database query; and in response to the querying, identifying data stored by the different database that is responsive to the database query.

Abstract: A platform for providing real-time promotions determines a customer interested in a product or service. The platform identifies customer information associated with the customer, as well as a set of products of interest to the customer. The platform identifies a supplier or advertiser associated with each of the products and receives promotion bids from one or more of the suppliers or advertisers. The platform generates a score for each of the received promotion bids, selects at least one of the promotion bids for transmission to the mobile device, and transmits the selected at least one promotion bids to the mobile device. The platform tracks customer behavior associated with the at least one promotion bids and provides the tracked behavior information back to the suppliers or advertisers.

Abstract: An optimized test data selection strategy references a sampling file that identifies data attributes that serve as the basis of the test data selection strategy. By analyzing fields and the corresponding field values of the sample imprint, a total number of test data selected for inclusion into a sample dataset is reduced. The test data selection strategy provides an efficient methodology for implementing a data comparison testing process.

Abstract: A system for rendering media having content displayed comprises a receiving unit to receive media, a scanner to detect an object in the media for placing a placeholder, a checker to provide the placeholder to a user for feedback and receive the feedback. The system also includes a template generator to generate a template indicating the placeholder in the media, The system also includes a rendering unit in communication with the template generator to render, upon receiving a request for watching the media, the media having content to display to the user, based on at least one of a storage space and a processing capacity.

Abstract: A process integrity evaluation system ensures integrity of unstructured processes. The process integrity evaluation system handles structured, semi-structured, and unstructured data at massive and large scale. The system provides scalability, secure storage, indexing, knowledge storage, and visualizations of processes by information retrieval, natural language processing, cloud computing, large scale machine learning, knowledge discovery, and other artificial intelligence techniques. Self-provided data, systematically gathered data, and potentially related data from additional sources are incorporated in the process integrity evaluation system which provides the core capabilities of data integrity checking, entity extraction, entity resolution, entity categorization, entity relationship extraction, processes extraction and reconstruction based on knowledge storage, such as knowledge graphs, inference functions, and evaluation computations.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining a network path between computer assets. One of the methods includes receiving an asset topology that includes an identifier for each computer-related asset that may be an entry point for an attack simulation, receiving threat data that identifies vulnerabilities of computer-related assets, determining a first computer-related asset that may be an entry point for an attack simulation, identifying one or more first vulnerabilities of the first computer-related asset, determining a path from the first computer-related asset to a second computer-related asset, determining one or more second vulnerabilities of the second computer-related asset, determining a probability that the second computer-related asset will be compromised by an adversary, and determining a change to the asset topology to reduce the probability that the second computer-related asset will be compromised by an adversary.

Abstract: In one aspect, the present application is directed to a computer-implemented method, a mobile device, a computer network system, and a computer-program product for optimized audio data provision. In an aspect, a computer-implemented method for optimized audio data provision on mobile devices is provided. The method may comprise: evaluating one or more parameters of a network connection of a mobile device; and depending on said evaluation, automatically switching between downloading audio data in an audio file from a server in real-time and downloading audio data in a text file from the server and performing a text-to-speech application of audio data on the mobile device.

Abstract: According to an example, with respect to software product development defect and issue prediction and diagnosis, worker profile information and worker state information for a plurality of workers involved in development of a product may be ascertained. A general worker signature that includes a plurality of clusters for all of the plurality of workers may be generated. For each of the plurality of workers, an individual worker signature vector that represents at least one cluster of the plurality of clusters that an individual worker is aligned to may be generated. A product signature vector may be generated based on product state information. Further, an output that includes an explanation for a defect associated with the development of the product may be generated based on a neural network model based analysis of the individual worker signature vectors and the product signature vector over a temporal dimension.

Abstract: A customized content selection and delivery system is operable to create a customized content channel package for a subscriber and customized content channel package to a customer premises over a content delivery network. A multi-level analysis based on measured content consumption metrics is performed to select content provider channels for the customized content channel package.

Abstract: A device may include one or more processors. The one or more processors may obtain product information relating to one or more products. The product information may be obtained from a set of web sites on which the one or more products are offered. The one or more processors may normalize the product information to determine normalized product information. The one or more processors may determine one or more product metrics based on the normalized product information. The one or more processors may generate a user interface based on the one or more product metrics. The user interface may provide information relating to the one or more product metrics. The user interface may permit a user to interact with the information relating to the one or more product metrics. The one or more processors may provide the user interface for display.