Dell Products Inc.

David John Linsey

Bijan Kumar Mohanty

Lokajit Tikayatray

Hung The Dinh

Gregory Michael Ramsey

Shijin Babu

Kulin Shaival Chokshi

Lisandro Ramos

Saumya Jain

Gireesh P

An example methodology includes, by a computing device, determining that a reset of credentials associated with one or more service accounts is to be performed. The method also includes, by the computing device, responsive to a determination that the reset of the credentials is to be performed, shutting down instances of applications in which the one or more service accounts are used and resetting the credentials associated with the one or more service accounts, wherein resetting the credentials updates current credentials associated with the one or more service accounts to new credentials. The method further includes, by the computing device, propagating the new credentials to the applications in which the one or more service accounts are used and starting the instances of the applications in which the one or more service accounts are used, wherein the started instances of the applications use the new credentials.

Account credential reset and reconciliation

An apparatus comprises a processing device configured to identify and parse a video tag associated with a video to determine configuration parameters for a video segment to be generated from the video, the determined configuration parameters comprising a specification of a time range for the video segment and an intended recipient thereof. The processing device is also configured to generate the video segment in accordance with the determined configuration parameters, and to select one or more digital communication formats for sending the generated video segment to the intended recipient, the one or more digital communication formats being selected based at least in part on at least one of (i) one or more user preferences associated with the intended recipient and (ii) the determined configuration parameters. The processing device is further configured to send the generated video segment to the intended recipient via the selected one or more digital communication formats.

Automated video segmenting and integration of video segments into digital communications

Methods, apparatus, and processor-readable storage media for generating and processing personal information chains using machine learning techniques are provided herein. An example computer-implemented method includes processing data, from one or more data sources, pertaining to one or more events involving an individual; generating a personal information chain associated with the individual by processing at least a portion of the processed data using at least one cryptographic function and linking that at least a portion of the processed data in accordance with at least one temporal parameter; performing anomaly detection by processing at least a portion of the personal information chain associated with the individual using one or more machine learning techniques; and performing one or more automated actions based at least in part on one or more of the personal information chain and results from the anomaly detection.

Generating and processing personal information chains using machine learning techniques

A method comprises receiving work order data, wherein the work order data identifies at least one technical support issue requiring resolution. The work order data is analyzed using one or more machine learning algorithms. The method further comprises predicting, based at least in part on the analyzing, whether the at least one technical support issue will be resolved at one or more respective service locations of a plurality of service locations. Based at least in part on the predicting, a recommendation to respond to the at least one technical support issue at a given service location of the plurality of service locations is generated.

Technical support service location recommendation using machine learning

A method comprises receiving product selection data, wherein the product selection data characterizes at least one combination of at least two products. In the method, the product selection data is analyzed using one or more machine learning algorithms. The method further comprises predicting based, at least in part, on the analyzing, whether the at least one combination is anomalous. One or more alerts are generated in response to predicting that the at least one combination is anomalous.

Product configuration analysis and anomaly prediction using machine learning

In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, retrieving touchpoint data of a product and creating a data element based on the retrieved touchpoint data, the data element includes information about a touchpoint of the product by a stakeholder. The method also includes, by the computing device, adding the created data element to a product pedigree list, wherein the product pedigree list is a pedigree list which contains data elements of the product. The method may further include, by the computing device, storing the product pedigree list in a graph database. The method may further include, by the computing device, predicting, using a machine learning (ML) model (e.g., an autoencoder), whether a state of the product pedigree list is normal or anomalous.

Intelligent product pedigree framework for product authenticity and verification

An apparatus comprises at least one processing device comprising a processor coupled to a memory, with the processing device being configured to receive in a microservices mediation layer a plurality of event notifications for respective internal events generated within an application, to extract information comprising at least a subset of an entity type, a key and an action from each of the event notifications, to issue at least one corresponding request to one or more microservices based at least in part on the extracted information, to prepare at least one message based at least in part on one or more responses received from the one or more microservices, and to publish the at least one message to one or more message consumers. The microservices mediation layer is illustratively configured to permit seamless switching between synchronous and asynchronous canonical message formats.

Growing community of inventors

Marietta, GA, United States of America

David John Linsey