Hewlett-packard Development Company, L.P.

Ravindra Ramtekkar

Narendra Kumar Chincholikar

Abhishek Ashokkumar Jangid

Dipak Belvant More

Mohit Sonje

Examples are described herein for facilitating responses to computing device service requests. In various examples, natural language processing may be performed on a plurality of incoming computing device service requests associated with a plurality of computing devices. A plurality of embeddings corresponding to the plurality of computing device service requests may be generated based on the natural language processing. Based on distances between each of a particular subset of the embeddings in an embedding space, a trending service issue associated with the computing device service requests corresponding to the particular subset may be predicted. The trending service issue may be provided to a computing device servicer associated with resolving a new incoming computing device service request.

Predicting service issues

A device with automated device temperature control is described. In one example, the device includes a processor and a weather forecast engine coupled to the processor. The weather forecast engine obtains weather data of a geographical location in which the device is located. The weather data includes values of environmental parameters. The weather data is then shared with a prediction engine. The device further includes a control engine coupled to the processor. The control engine receives a first threshold operating temperature determined for the device based on the weather data, a device model, and a mapping table from the prediction engine. The control engine then initiates a temperature control device, connected to the device, to cool the device if a current device temperature of the device is greater than the first threshold operating temperature.

Device temperature control based on a threshold operating temperature determined for the device based on a weather data, a device model, and a mapping table

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Pune, India

Ravindra Ramtekkar