Dell Products Inc.

Praveen Kumar

Parminder Singh Sethi

Shree Ramakrishna Rathinasamy

Anay Kishore

Srinath Kappgal

Philip Sheaff

A method comprises receiving data corresponding to operation of one or more edge devices, and analyzing the data using one or more machine learning algorithms to determine whether the operation of the one or more edge devices is anomalous. In determining whether the operation of the one or more edge devices is anomalous, the one or more machine learning algorithms determine whether the operation of the one or more edge devices deviates from identified normal operational parameters of the one or more edge devices. At least one action to control access to the one or more edge devices is triggered in response to determining that the operation of the one or more edge devices is anomalous.

Dynamic behavior-based adaptive access control system for edge devices

Methods, apparatus, and processor-readable storage media for determining input sentiment by processing text data and non-text data using artificial intelligence techniques are provided herein. An example computer-implemented method includes dividing user input data into at least a first set of text data and a set of non-text data; converting at least a first portion of the non-text data into at least a second set of text data; classifying at least a portion of the at least a first set of text data and at least a portion of the at least a second set of text data in accordance with sentiment-related categories using a first set of artificial intelligence techniques; classifying at least a second portion of the non-text data in accordance with the sentiment-related categories using a second set of artificial intelligence techniques; and performing automated actions based on the classifying of the text data and/or the non-text data.

Determining input sentiment by automatically processing text data and non-text data using artificial intelligence techniques

Illustrative embodiments provide techniques for edge computing management. For example, a processing platform is configured to obtain a plain text input specifying a set of devices for an edge computing network to be deployed and construct a topology diagram corresponding to the set of devices configured based on a set of configuration sub-profiles. The processing platform is further configured to cause deployment of the edge computing network based on the topology diagram.

Edge computing deployment based on artificial intelligence-driven topology construction from plain text input

A method comprises monitoring operation of one or more devices of an edge platform, collecting data corresponding to the operation of the one or more devices, and transmitting the data corresponding to the operation of the one or more devices over at least one communications network, via a first server, to a second server. The steps of the method are executed by a processing device operatively coupled to a memory. The processing device is a component of a network switch located in the edge platform.

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Noida, India

Praveen Kumar