Dell Products Inc.

Devipriya Selvaraju

Bijan Kumar Mohanty

Karthik Sethuramalingam

Hung The Dinh

Bharathi Raja Kalyanasundaram

Dhamodharan Duraisamy

Brajesh Chandra Yadav

A method comprises receiving an input of at least one image associated with an issue. In the method, text is extracted from the at least one image, and an intent is determined from the extracted text. The method further includes recommending a response to the issue based at least in part on the determined intent, and transmitting the recommended response to a user. The extracting, determining and recommending are performed at least in part using one or more machine learning models.

Image analysis for problem resolution

A method comprises retrieving operating conditions data comprising operational details of one or more components in at least one computing environment. Component replacement data and no fault found (NFF) data of the computing environment are also retrieved. The component replacement data comprises details about components that have been replaced in the computing environment. The NFF data comprises details about components incorrectly identified as having failed in the computing environment and symptoms leading to the incorrect identifications. The method also comprises generating a first mapping between given ones of the operational details and given ones of the replaced components, and generating a second mapping between given ones of the incorrectly identified components and given ones of the symptoms using one or more machine learning algorithms. Using the first and second mappings, at least one failed component is predicted based on one or more symptoms identified in a received support case.

Component failure prediction

Methods, apparatus, and processor-readable storage media for automatic processing of claims using artificial intelligence are provided herein. An example computer-implemented method includes obtaining at least one image related to at least one device damage claim, automatically classifying the at least one device damage claim by applying one or more artificial intelligence techniques to the at least one obtained image, and performing one or more automated actions based at least in part on the classification of the at least one device damage claim.

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Bengaluru, India

Devipriya Selvaraju