Abstract: A system, platform, computer program product, and/or method to analyze a computer-implemented video conference includes: a plurality of participant devices, and a central processing server. Each participant device is configured to form a video snippet for a time interval of the video conference having audio data and video data; generate a transformed video snippet by embedding extracted participant data and/or metadata into the video snippet; and send each transformed video snippet to the central processing server. The central processing server receives each transformed video snippet; performs analytics on each transformed video snippet; and transmits to at least one of the participant devices, results of the performed analytics. Participant devices can display one or more results of the performed analytics.

Abstract: A computer-implemented system, method and computer program product for providing access to a network of computing nodes that includes: requesting, by a client, access into a host node in the network, preferably a private network; selecting a digital certificate issuer; verifying, by the digital certificate issuer, the identity of the client's token; adding, by the certificate issuer, a nonce to a distributed ledger; and granting the client access to the host node in the network. The computing nodes in an embodiment are ranked based upon CPU capacity, and computing nodes with highest CPU capacity ranking are selected to participate in a proof-of-capacity consensus to solve for the nonce.

Abstract: A system, platform, computer program product, and/or method for managing UAV resources is disclosed that includes: receiving UAV specifications to provision one or more UAVs; converting the UAV specifications to UAV specification metadata; transforming the UAV specification metadata to UAV configuration metadata to configure UAV software for the one or more UAVs; and configuring, using the UAV configuration metadata, the UAV software for the one or more UAVs. The system, platform, program product, and method can further include assembling, using the UAV configuration metadata, the UAV hardware of the one or more UAVs; deploying the one or more UAVs from a base location to a new location; transferring control over operation of the one or more UAVs to a third-party operator; creating and configuring a network connection to the one or more UAVs; and/or remotely logging into an operating system of the one or more UAVs.

Abstract: A system, platform, computer program product, and/or method to analyze a computer-implemented video conference includes: a plurality of participant devices, and a central processing server. Each participant device is configured to form a video snippet for a time interval of the video conference having audio data and video data; generate a transformed video snippet by embedding extracted participant data and/or metadata into the video snippet; and send each transformed video snippet to the central processing server. The central processing server receives each transformed video snippet; performs analytics on each transformed video snippet; and transmits to at least one of the participant devices, results of the performed analytics. Participant devices can display one or more results of the performed analytics.

Abstract: A computer-implemented system, method and computer program product for providing access to a network of computing nodes that includes: requesting, by a client, access into a host node in the network, preferably a private network; selecting a digital certificate issuer; verifying, by the digital certificate issuer, the identity of the client's token; adding, by the certificate issuer, a nonce to a distributed ledger; and granting the client access to the host node in the network. The computing nodes in an embodiment are ranked based upon CPU capacity, and computing nodes with highest CPU capacity ranking are selected to participate in a proof-of-capacity consensus to solve for the nonce.

Abstract: A computer-implemented system, method and computer program product for predicting cloud computing resources to add to a cloud computing system that includes: determining a total current size of available computing resources; determining a predicted size of faulty computing resources; determining a confirmed size of computing resources already provisioned; and/or determining a potential size of needed computing resources based upon analysis of customer-specific data; and predicting the cloud computing resources needed to be added to the cloud computing system using the total current size of available computing resources; the predicted size of faulty computing resources; the confirmed size of computing resources already provisioned; and/or the potential size of needed computing resources based upon analysis of customer-specific data.

Abstract: A computer-implemented system, method and computer program product for provisioning cloud computing resources that includes: converting a hand sketch representation of cloud computing resources to a digital image with metadata; generating a cloud deployment representation from the digital image with metadata; preparing cloud deployment manifest and configuration files from the cloud deployment representation; converting the cloud deployment manifest and configuration files into input data to be used to provision cloud computing resources; and transmitting the input data to a cloud computing vendor to provision the cloud computing resources.