Cisco Technology, Inc.

Voice of Things, Inc.

Biren Gandhi

Joseph Khouri

Raghurama Bhat

Charles Calvin Byers

Ramanathan T Jagadeesan

Gebran George Chahrouri

John Parello

Weidong Chen

Yanghua Liu

Anoop Nannra

Brian Thomas Toombs

Karan Sheth

John Joseph Houston

Nicholas Darrow

The systems and methods of seamlessly connecting an internet of things ('IoT') device to one or more intelligent voice assistants, comprising: configuring a manager module to manage an IoT device connected to a network; receiving a speech command for the IoT device at the manager module through a mobile application, a smart speaker, a web interface or any other user interface; connecting to a central Speak-to-IoT cloud service; receiving a map to connect to a customer specific Speak-to-IoT cloud service based on the customer, IoT device type and manager module; authenticating with the customer specific Speak-to-IoT cloud service; communicating and executing the speech command on the IoT device. The systems and methods further comprising adding or replacing one or more IoT device with another device type or manager module of another type.

Systems and methods to seamlessly connect internet of things (IoT) devices to multiple intelligent voice assistants

A method is performed by a first fog node of a plurality of fog nodes. In some implementations, the first fog node includes a non-transitory memory and one or more processors coupled with the non-transitory memory. In some implementations, the method includes maintaining a distributed ledger in coordination with the remaining fog nodes of the plurality of fog nodes. In some implementations, the distributed ledger stores configuration information associated with one or more devices. In some implementations, the method includes obtaining a request for configuration information from a device that breaches a resource threshold associated with the distributed ledger. In some implementations, the method includes transmitting, to the device, the configuration information associated with the device in order to allow the device to be configured in accordance with the configuration information while the device breaches the resource threshold associated with the distributed ledger.

Configuring resource-constrained devices in a network

A method for establishing an unmanned aerial vehicle (UAV) network among a plurality of UAVs that is programmed to communicate packet data, wherein the plurality of UAVs comprises a first UAV and creating a first wireless connection between the first UAV of the plurality of UAVs and a second UAV. The method includes receiving a first signal indicating that the second UAV has been added to the plurality of UAVs and transmitting a second signal to the second UAV that causes the second UAV to generate a wireless coverage area that extends a wireless range of the UAV network. The method includes calculating a plurality of link cost values for one or more wireless connections to or from each particular UAV to one or more other UAVs in the plurality of UAVs; and determining whether to realign the plurality of UAVs based on the plurality of link cost values.

Dynamic network connectivity using unmanned aerial vehicles

In a network that supports communications between client devices and at least one meeting server, a meeting request that includes one or more meeting constraints to be satisfied is monitored prior to scheduling or initiating a meeting between a plurality of meeting participants associated with respective client devices. At least one meeting constraint includes a location constraint that identifies a location for a client device associated with a meeting participant prior to scheduling or initiating the meeting. In response to each meeting constraint being satisfied, including the at least one location constraint, the meeting is automatically scheduled or initiated for the participants via the meeting server.

Automatic future meeting scheduler based upon locations of meeting participants

In one embodiment, a method includes receiving requests to join a conference from a plurality of user devices proximate a first endpoint. The requests include a username. The method also includes receiving an audio signal for the conference from the first endpoint. The first endpoint is operable to capture audio proximate the first endpoint. The method also includes transmitting the audio signal to a second endpoint, remote from the first endpoint. The method also includes identifying, by a processor, an active speaker proximate the first endpoint based on information received from the plurality of user devices.

Active speaker indicator for conference participants

Techniques are provided for receiving incoming work at an enterprise, obtaining social information for agents of the enterprise, comparing the social information obtained for the enterprise agents with information associated with the incoming work, and assigning the incoming work to a selected enterprise agent based upon at least one common feature included in the social information for the selected enterprise agent and the incoming work.

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San Jose, CA, United States of America

Biren Gandhi