Abstract: Disclosed herein are system, method, and computer program product embodiments for providing application resiliency using a machine learning model trained to detect potential failures based on computational transaction metrics. A resiliency system may monitor metrics related to an application executing on an enterprise data system. The resiliency system may apply these metrics to a machine learning model trained to identify a potential application failure based on application usage trends. In response to detecting a potential failure of the application, the resiliency system may instruct the application to execute one or more resiliency actions. These may include one or more circuit breaker, rate limiter, time limiter, and/or bulkhead actions. The resiliency actions may aid the application in avoiding failure states. The resiliency actions may also be modified based on feedback metrics to aid the application in quickly restoring service once the failure state has been avoided.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve the inspection of network data flows. An example apparatus includes memory, and processor circuitry to execute machine readable instructions to at least identify network domains accessible by at least one client device in a geographic location of interest, associate the identified network domains with Autonomous System Numbers (ASNs), create a list of respective ones of the ASNs that include a non-malicious status corresponding to Internet protocol (IP) addresses associated with respective ones of the identified network domains, and in response to receiving a reputation request corresponding to a destination IP address, cause inspection of a data flow to be skipped when the destination IP address is associated with the list of non-malicious ASNs.

Abstract: Kubeflow network protocol compatibility is implemented by modifying a manifest of a first component in a Kubeflow manifest bundle to replace an alphanumeric address within each service discovery specification with a domain name, modifying a manifest of a second component in the Kubeflow manifest bundle to replace a first network protocol identity within each application network binding specification with a second network protocol identity, and applying the manifest of the first component and the manifest of the second component within a network operating in accordance with a second network protocol.

Abstract: Techniques for anomaly and causality detection are described. An example includes receiving time series data; performing anomaly detection on the received time series data to detect at least one anomaly using an anomaly detection model; detecting a causal relationship between measures, wherein a set of measures are related when a first of the set of measures has a causal influence on a second of the set of measures, wherein a single time series is a metric and a measure is a numerical or categorical quantity a metric describes; and outputting a result of the anomaly and causality relationship detections.

Abstract: Kubeflow network protocol compatibility is implemented by modifying a manifest of a first component in a Kubeflow manifest bundle to replace an alphanumeric address within each service discovery specification with a domain name, modifying a manifest of a second component in the Kubeflow manifest bundle to replace a first network protocol identity within each application network binding specification with a second network protocol identity, and applying the manifest of the first component and the manifest of the second component within a network operating in accordance with a second network protocol.

Abstract: A machine learning model that uses composite metrology data determines at least one parameter of a device under test using measured metrology data from the device. The composite metrology data is generated by merging measured metrology data from a reference device with synthetic metrology data calculated from a model of the reference device. The composite metrology data may be generated further based on a synthetic metrology data calculated from a model for a modified reference device. The modified reference device may be generated using variations of at least one parameter of the model to expand the parameter space of the training range.

Abstract: A computerized method for implementing an optimal supply chain configuration includes the step of implementing an optimal supply chain configuration for a business. The method includes the step of modelling costs for minimization in an optimal supply chain configuration. The method includes the step of modelling constraints in an optimal supply chain configuration. The method includes the step of, based on the modelled cost for minimization and the modelled constraints, optimizing a supply chain for the business.

Abstract: One embodiment provides a method, including: receiving, at a third-party storage provider and from a data owner, a plurality of encrypted documents, wherein each of the plurality of encrypted documents is encrypted by the data owner using at least one encryption key; receiving, from a query user, an encrypted query, wherein the query is encrypted using the at least one encryption key; computing an edit distance value between the encrypted query and at least a portion of the plurality of encrypted documents, wherein the computing comprises communicating with an entity to work together to compute the edit distance value; the communicating comprising (i) providing, from the third-party storage provider to the entity, an encrypted function of an edit distance matrix and (ii) receiving an encrypted edit distance value computed by the entity from the encrypted function; and returning the encrypted edit distance value to the query user.

Abstract: In one aspect, a computerized method of automated solution for periodic journey planning comprising includes the step of creating a set of salesbeats using a set of outlet data and a set of customer level data. The method includes the step of allocating each of the salesbeats to one or more sales executives. A salesbeat includes a plan that defines who to visit; when to visit; an identity of a sales executives to send and a day level route plan made for field sales/marketing personnel to make visits to a number of stores at a predefined frequency. The method includes the step of allocating the sales executives are allocated to a specified set of days. The method includes the step of implements sequencing of outlets within the salesbeats established using a capacitated vehicle routing problem (CVRP) algorithm such that a distance traveled and a time window of the salesbeat is optimized for the sales executives.

Abstract: One embodiment provides a method, including: receiving, at a third-party storage provider and from a data owner, a plurality of encrypted documents, wherein each of the plurality of encrypted documents is encrypted by the data owner using at least one encryption key; receiving, from a query user, an encrypted query, wherein the query is encrypted using the at least one encryption key; computing an edit distance value between the encrypted query and at least a portion of the plurality of encrypted documents, wherein the computing comprises communicating with an entity to work together to compute the edit distance value; the communicating comprising (i) providing, from the third-party storage provider to the entity, an encrypted function of an edit distance matrix and (ii) receiving an encrypted edit distance value computed by the entity from the encrypted function; and returning the encrypted edit distance value to the query user.