Abstract: The present disclosure relates to systems and methods for carrying out predictive analysis where a plurality of data sets may be ingested from a data lake. A data analyzer may tag the ingested data sets, detect redundant occurrence of multiple attributes such as, a row, a column, and a list in the tagged data set. The data analyzer may eliminate the detected redundant multiple attributes. Further, a model selector and evaluator may execute a machine learning (ML) model to conduct predictive analysis on the data set. The execution may be done based on a predefined set of instructions stored in a database. The executed ML model may be validated upon determining that the predictive analysis yields a positive response for the transformed data set.

Abstract: A method and system for cloud based service provider performance evaluation are disclosed. The method may include extracting service record data and ticket status change record data from the service ticket data and aggregating the service record data and the ticket status change record data. The method may include calculating ticket level performance metric data based on the aggregated record data and generating ticket level performance scores based on the ticket level performance metric data. The method may further include generating service level performance scores based on the service level performance metric data and generating service feedback performance scores based on the service feedback metric data. The method may further include merging the ticket level performance scores, the service level performance scores, and the service feedback performance scores to generate performance vectors and evaluating overall performances of the service providers based on the set of performance vectors.

Abstract: Described embodiments include a circuit for temperature sensing having a first current source coupled to a diode input terminal. The first current source provides a first current at a first current output. A second current source provides a second current at a second current output. The second current is larger than the first current. A first switch is coupled between the second current source output and the diode input terminal. A capacitor is coupled between the diode input terminal and a temperature output terminal. A second switch is coupled between the temperature output terminal and a ground terminal. The temperature output terminal provides a temperature signal having a voltage that is proportional to a temperature of a component.

Abstract: A multi-layer database sizing stack may generate prescriptive tier requisition tokens for controlling requisition of database-compute resources at database-compute tiers. The input layer of the database sizing stack may obtain historical data. The threading layer may be used to flag occurrences of single threading application execution. The change layer may be used to determine potential for a step based on compute utilization type data and assert flags indicating the potential. The step layer may determine if potential steps may be taken based on operation-rate type data and flush type data. The requisition layer may generate a tier requisition token based on the provisional requisition tokens generated at other layers and/or finalization directives obtained at the requisition layer.

Abstract: Some embodiments provide a method for dynamically deploying a managed forwarding element (MFE) in a software-defined wide-area network (SD-WAN) for a particular geographic region across which multiple SaaS applications is distributed. The method determines, based on flow patterns for multiple flows destined for the multiple SaaS applications distributed across the particular geographic region, that an additional MFE is needed for the particular geographic region. The method configures the additional MFE to deploy at a particular location in the particular geographic region for forwarding the multiple flows to the multiple SaaS applications. The method provides, to a particular set of MFEs that connect a set of branch sites to the SD-WAN, a set of forwarding rules to direct the particular set of MFEs to use the additional MFE for forwarding subsequent data messages belonging to the multiple flows to the multiple SaaS applications.

Abstract: Some embodiments provide a method for using a heat map to modify an SD-WAN (software-defined wide-area network) deployed for a set of geographic locations. From a set of managed forwarding elements (MFEs) that forward multiple data message flows through the SD-WAN to a set of destination clusters, the method collects multiple metrics associated with the multiple data message flows. Based on the collected multiple metrics, the method generates a heat map that accounts for (1) the multiple data message flows, (2) locations of the set of MFEs, and (3) locations of the one or more destination clusters. The method uses the generated heat map to identify at least one modification to make to the SD-WAN to improve forwarding of the multiple data message flows.

Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for allocating computation resources for a plurality of databases. For each database, the system identifies a respective initial computation capacity tier for the respective database based at least on the respective utilization of the respective database. For each of a set of optimization orders, the system determines a respective set of candidate resource pools for accommodating the plurality of databases. The system selects an optimization order and determines a final set of resource pools for the plurality of databases. The system outputs data specifying the final set of resource pools.

Abstract: Some embodiments provide a method for modifying an SD-WAN (software-defined wide-area network). The method collects, from a set of managed forwarding elements (MFEs), multiple metrics associated with multiple data message flows sent between the set of MFEs. The method analyzes the collected multiple metrics to group the data message flows according to multiple types and to identify a ranking of the multiple groups of data message flows according to traffic throughput. The method uses the ranking to identify a set of one or more groups of data message flows. The method modifies the SD-WAN to improve forwarding through the SD-WAN for the identified set of one or more groups of data message flows.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating an association between a graphic element and text for a messaging thread and providing an overlay including the graphic element based on providing a message to the messaging thread including the text. In particular, in one or more embodiments, the disclosed systems receive user selection of the text and the graphic element and provide the association between the text and the element to various client devices associated with the messaging thread. Accordingly, the disclosed systems provide instructions for each client device associated with the messaging thread to generate and provide an overlay for the messaging thread.

Abstract: A Near Memory Processing (NMP) dual in-line memory module (DIMM) for managing an address map is provided. The NMP DIMM includes: a static random-access memory (SRAM) provided on a Double Data Rate (DDR) interface; and an address management controller coupled to the SRAM, and configured to control the NMP DIMM to: receive a first indication from a host system to perform interface training for operating an SRAM space; perform the interface training using a first address map based on the first indication; receive a second indication from the host system indicating completion of the interface training for operating the SRAM space; switch from the first address map to a second address map for operating the SRAM space in response based on the second indication; and operate the SRAM space using the second address map.

Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a machine-learning model for predicting event tags. The system obtains event data that specifies, for each of a plurality of events, a respective set of text fields characterizing the respective event. The system generates, from the event data, encoded language features for the plurality of events. The system also obtains knowledge data that specifies information of the event data. The system generates, from the event data and the knowledge data, tag data specifying a respective tag for each of the plurality of events. The system generates, from the tag data and the encoded language features, a respective encoded feature vector for each of the plurality of events. The system combines the tag data with the encoded feature vectors to generate a plurality of training examples.

Abstract: A system includes a multi-layer throughput optimization (TPO) stack to generate a token containing prescriptions for rightsizing database service throughput.

Abstract: A multi-layer elastic requisition stack may generate pool requisition tokens for controlling requisition of pooled database-compute resources. The elastic requisition stack may determine candidate databases for inclusion in elastic pools by analyzing historical utilization data and generating predicted utilization data. Based on the historical and predicted utilization data, the elastic requisition stack may determine multiplexing characteristics for the candidate databases and complement factors among the databases. The elastic requisition stack may compare unpooled database performance to pooled database performance to determine whether to pool the candidate databases.

Abstract: Systems, methods, client devices, and non-transitory computer-readable media are disclosed for utilizing an augmented reality (AR) data channel to enable shared augmented reality video calls which facilitate the sharing of and interaction with AR elements during video calls. For example, the disclosed systems can establish a video call between client devices that include a video (and audio) data channel and an AR data channel. Moreover, in one or more embodiments, the disclosed systems enable one of the client devices to transmit AR data (e.g., AR element identifiers, AR elements, object vectors, participant identifiers) through an AR data channel to cause the other client device to render an AR element on a video captured by the other client device during a video call. Indeed, the disclosed systems can enable AR environments, AR effects, AR-based activities, and/or individual AR elements during a video call utilizing an AR data channel.

Abstract: A multi-layer serverless sizing stack may determine a compute sizing correction for a serverless function. The serverless sizing stack may analyze historical data to determine a base compute allocation and compute buffer range. The serverless sizing stack may traverse the compute buffer range in an iterative analysis to determine a compute size for the serverless function to support efficient computational-operation when the serverless function is instantiated.

Abstract: Natural Language Processing (NLP) techniques are used to facilitate inferring actionable insights from interactions. Customer data from various communication channels can be used to determine, for example, voice-related aspects from sentiment analysis, intent analysis, Semantic Conscious Word Extraction (SCWE), emotion analysis, and contextual summarization. These analysis results can also be used, along with customer profile information, for deriving deep customer insights. The deep customer insight driven analysis can include multivariate customer fragmentation, setback accountability analysis, potential contender analysis, and propulsive business planning.

Abstract: Techniques for managing secure communication certificates for medical devices in a clinical environment are provided. A short-lived, limited-use token may be uniquely assigned to a medical device. The medical device can self-provision a secret key and corresponding public key based on a unique identifier in the token. The medical device generates a certificate signing request (“CSR”) that includes the public key, and sends the CSR and the token to a verification system that serves as an intermediary between medical devices and a certificate authority. The intermediary may only send the CSR to the certificate authority (“CA”) for a certificate if the intermediary is able to validate the token.

Abstract: Embodiments include a multi-tenant cloud-based identity management system for a plurality of tenants. Embodiments include a global database providing a first set of resources to the plurality of tenants and a plurality of tenant databases, each tenant database providing a second set of resources to one of the plurality of tenants. Embodiments further include a plurality of resources accessible by the tenants and an automated upgrade framework for upgrading the global database and the tenant databases in response to an upgrade of a first release of the system to a second release of the system. For the automated upgrade framework, embodiments determine resource changes between the first release and the second release, generate an upgrade patch based on the resource changes and apply the upgrade patch to the global database.

Abstract: Embodiments operate a multi-tenant cloud system. At a first data center, embodiments authenticate a first client corresponding to a first tenant ID and store resources that correspond to the first client, the first data center in communication with a second data center that is configured to authenticate the first client and replicate the resources. The first data center receives an Application Programming Interface (“API”) request for the first client corresponding to a change to the resources, and generates a change log and corresponding change event message in response to the API request. Embodiments compute a first hash corresponding to the first tenant ID of the change log to determine a first partition of a first queue at the first data center. The first data center pushes the change event message to the second data center via an API call.

Abstract: A method and system for cloud based service provider performance evaluation are disclosed. The method may include extracting service record data and ticket status change record data from the service ticket data and aggregating the service record data and the ticket status change record data. The method may include calculating ticket level performance metric data based on the aggregated record data and generating ticket level performance scores based on the ticket level performance metric data. The method may further include generating service level performance scores based on the service level performance metric data and generating service feedback performance scores based on the service feedback metric data. The method may further include merging the ticket level performance scores, the service level performance scores, and the service feedback performance scores to generate performance vectors and evaluating overall performances of the service providers based on the set of performance vectors.