Abstract: Embodiments for ensemble policy generation for prediction systems by a processor. Policies are generated and/or derived for a set of ensemble models to predict a plurality of target variables for streaming data such that the plurality of policies enables dynamic adjustment of the prediction system. One or more of the policies are updated according to one or more error states of the set of ensemble models.

Abstract: A computer system analyzes an input in a chat window of a first device, wherein the chat window corresponds to a first chat session with a user of a second device and a second chat session with a user of a third device. The computer system determines, based on the analyzing the input, whether the input corresponds to an information associated with the first chat session and an information associated with the second chat session. Based on determining that the input corresponds to the information associated with the first chat session and the information associated with the second chat session, the computer system transmits the input to the second device and the third device.

Abstract: Embodiments are disclosed for a method. The method includes receiving feedback decision rules for multiple predictions by a trained machine learning model. generating a feedback rule set based on the feedback decision rules. The method further includes generating an updated training dataset based on an original training dataset and an updated feedback rule set. The updated feedback rule set resolves one or more conflicts of the feedback rule set, and the updated training dataset is configured to train the machine learning model to move a decision boundary. Generating the updated training dataset includes generating multiple updated training instances by applying one of the feedback decision rules to a training instance of the original training dataset.

Abstract: There are provided systems and methods for authentication depending on device capabilities and user requests based on situational information collected in advance of a device becoming non-operational. A user may wish to utilize some device process, such as access and use of a device application or other module. For example, a user may wish to utilize a payment application of the communication device, or authenticate the user using a service provider accessible through the communication device. If the communication device becomes non-operational (e.g., lack of power or signal strength), the user may be prevented from authenticating through the communication device. Thus, the user may establish a limited use authentication credential from situational data to the user and device (e.g., location or current image) that allows the user to authenticate with the service provider. The authentication credential may be limited to a location, amount, and/or type of authentication.

Abstract: Systems and methods for smart cloud caching using edge computing and real-time customer journey insights are disclosed. In one embodiment, a system identifies a trend in communications received by a first edge cloud server, wherein each communication corresponds to a customer journey comprising user action steps performed in a client application. The system determines which user action steps cause API invocations to non-edge cloud servers and generates a sequence of API invocations in an order associated with the sequence of user action steps of the customer journey. The sequence of API invocations may be chained and/or bundled and stored in a cache for replication at edge cloud servers. The system may determine that the trend is pervasive in a geographical location based on satisfaction of a criteria, and replicate the cached sequence of API invocations at a cache of a second edge cloud server that services the geographical location.

Abstract: In a method for interpreting output of a machine learning model, a processor receives a first interpretable rule set. A processor may also receive a second interpretable rule set generated from a dataset and model-predicted labels classifying the dataset. A processor may also generate a difference metric and mapping between the first interpretable rule set and the second interpretable rule set.

Abstract: Embodiments for automatic extraction of data of a compliance named entity of type organization by a processor. One or more segments of text data may be extracted from one or more data sources representing one or more objects describing a compliance named entity of type organization expected to conform to an obligation, a law, policy, regulation, or a combination thereof.

Abstract: Embodiments providing analytics on a compliance profile of type organization and a compliance named entity of type organization by a processor. Text data may be extracted from one or more data sources representing one or more objects describing a compliance named entity of type organization expected to perform an obligation. A compliance profile of type organization may be determined for the compliance named entity of type organization according to the extracted text data. One or more compliance named entities of type organization may be matched to the one or more compliance profiles of type organization.

Abstract: Aspects of the invention include identifying each solution component of a plurality of solution components described in a text of a solution template of a plurality of solution templates, wherein the solution template includes a first combination of solution components. Identifying each solution component of a plurality of solution component described by an object in the solution template of a plurality of solution templates. Detecting a respective number of instances of each solution component in the solution template and a respective number of instances of each solution component in each other solution template of the plurality of solution templates. Generating analytics for a source company based on the respective number of instances of each solution component in the solution template and the respective number of instances of each solution component in each other solution template of the plurality of solution templates.

Abstract: A machine learning model can be run with a first input data to obtain a first output from the machine learning model. A first rule representing an interpretable explanation for the machine learning model predicting the first output can be obtained. A modified rule can be received, which changes the first rule. A transformation function can be generated, which transforms a given input data for inputting to the machine learning model to a new input data based on decision boundaries of the machine learning model and the modified rule. The first rule, the first output, the modified rule, and the transformation function can be stored in a first table.

Abstract: Embodiments of the invention are directed to techniques that include predicting, by a computer system, a number of predicted opportunities and signatures of the predicted opportunities expected in a time window. Based on the signatures of the predicted opportunities, the computer system generates a listing of entities ranked according to signatures of the predicted opportunities. The computer system selects the entities to be assigned to the predicted opportunities based, at least in part, on computing capacity related to sales while accounting for any current opportunities having been assigned to the entities.

Abstract: Aspects of the invention include identifying each solution component of a plurality of solution components described in a text of a solution template of a plurality of solution templates, wherein the solution template includes a first combination of solution components. Identifying each solution component of a plurality of solution component described by an object in the solution template of a plurality of solution templates. Detecting a respective number of instances of each solution component in the solution template and a respective number of instances of each solution component in each other solution template of the plurality of solution templates. Generating analytics for a source company based on the respective number of instances of each solution component in the solution template and the respective number of instances of each solution component in each other solution template of the plurality of solution templates.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for processing a transaction. In one embodiment, a system is introduced that enables a communication between applications. The communication occurs through the use of one or more gestures that enable the request for information, funds, items for purchase and the like. In another embodiment, a system if introduced that enables a unified multi-marketplace communication. The communication includes the use of gestures for the transfer of information, funds, items for purchase, discounts, etc., using a unifying entity. The unifying entity can be a financial institution, payment provider, or the like that may be used to carry a transaction between applications allowing for a single checkout.

Abstract: Technology for computer systems for helping candidates (that is, candidate entities, like people or enterprises) for performing a task to know what portions of the entity's profile could use revision or improvement in order to increase the probability that the candidate entity will, in due course, be selected to perform the task. In some embodiments: (i) the task is the provision of cloud computing services; and (ii) the candidates are various companies in the business of providing cloud computing services.

Abstract: Embodiments are provided for identification of a section of bodily tissue as either a candidate or a non-candidate for pathology tests. In some embodiments, a system can include a processor that executes computer-executable components stored in memory. The computer-executable components can include a feature composition component that generates a feature vector representing a physical model describing dye dynamics that determines a group of multispectral images of a section of bodily tissue. The computer-executable components also can include a classification component that generates a classification attribute for the section of bodily tissue by applying a classification model to the feature vector. The classification attribute designates the section of bodily tissue as one of biopsy-candidate or non-biopsy-candidate.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for communicating with a unified messaging center using multi-channel messaging with block-based datastore. In one embodiment, a system is introduced that can provide a unified experience and capability for messaging with one or more entities across platforms. The messaging capability includes the ability to provide user interaction using a single architecture with data store in a centralized form. In one embodiment, the data store include the use of blockchain technology wherein each interaction with the user and across platforms is recorded and stored on a crystographed block.

Abstract: Embodiments relate generally to methods and systems for monitoring personal protection equipment (PPE) compliance. A method may comprise receiving, by a user identification (ID) module, information from sensor modules attached to PPE devices worn by the user, determining if the sensor modules indicate that the PPE devices are active or inactive, communicating the information from the user ID to a supervisor console, and displaying this information by a supervisor console. The user ID may be associated with a specific user, and the sensor modules may be associated with specific PPE devices. When it is determined that a required PPE device is inactive, corrective action may be taken by the supervisor.

Abstract: There are provided systems and methods for gesture and motion detection using a device radar component for user authentication. A user's device may include a miniaturized radar component that is capable of detecting objects, gestures, and motions within an area around the device in a three-dimensional manner, such as a user hand, arm, or other body part that may perform a motion or gesture. A service provider, application, or another user may generate and transmit an authentication request to the user that may include some query for the user to perform one or more actions or gestures. The user may perform the actions or gestures in response to the query, which may be detected by the radar component and processed to determine whether to authenticate the user. In some embodiments, the gesture may be performed using a virtual projection or real objects in the environment nearby the device.

Abstract: Techniques are disclosed relating to a delayed presentation of authentication challenge for users, such as in the context of a chat session. In various embodiments, a server system receives an indication of a request for service initiated by a user in a chat session within an application executed by a client device. The request for service involves an authentication of the user that is dependent on the authentication being successfully completed within a particular time period after the authentication is initiated. The server system delays the initiation of authentication for the request for service until a readiness condition is satisfied. The readiness condition includes the server system being available to process the request for service, as well as subsequently detecting engagement with the user relating to the request for service. In response to the readiness condition being satisfied, the server system initiates the authentication of the user.

Abstract: Methods and systems are presented for automatically and continuously enriching primary contents based on third-party contents. Third-party contents that are relevant to topics associated with the primary contents are retrieved from various content servers. The third-party contents may be analyzed, relevant portions thereof may be extracted. Different portions of the third-party contents may be combined to generate composite content items. The portions of the third-party contents and/or the composite content items may be integrated into different sections of the primary contents. The effectiveness of the integrated contents may be evaluated, and third-party contents that is less effective may be replaced with third-party contents that are more effective in the integrated contents.