Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid system,” can be configured to provide automated customer support. The humanoid can identify a support issue for a customer, as well as a customer support campaign corresponding to the support issue. The humanoid can identify at least one machine learning model associated with the customer support campaign and can communicate with the customer using the at least one machine learning model. The humanoid can execute a support action to resolve the support issue.

Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid process software,” can be configured to participate in multi-parry conversations. The humanoid can monitor electronic communications in a conversation involving the humanoid and at least one other party. The humanoid can model the electronic communications by uniquely identifying each of the electronic communications as a stream of data. For example, the data can be labeled and sorted in a database and/or arranged in a nodal graph representation. The humanoid can participate in the conversation based on the modeling.

Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid process software,” can be configured to participate in multi-party conversations. The humanoid can monitor electronic communications in a conversation involving the humanoid and at least one other party. The humanoid can model the electronic communications by uniquely identifying each of the electronic communications as a stream of data. For example, the data can be labeled and sorted in a database and/or arranged in a nodal graph representation. The humanoid can participate in the conversation based on the modeling.

Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid system,” can be configured to provide automated customer support. The humanoid can identify a support issue for a customer, as well as a customer support campaign corresponding to the support issue. The humanoid can identify at least one machine learning model associated with the customer support campaign and can communicate with the customer using the at least one machine learning model. The humanoid can execute a support action to resolve the support issue.

Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid system,” can be configured to provision itself to provide automated customer support. The humanoid can be trained for a customer support campaign. The training can include the humanoid observing communications between a human operator and at least one customer regarding at least one customer support case in the customer support campaign. The humanoid can assess at least one confidence level of the humanoid for the customer support campaign to determine whether the humanoid is adequately trained to handle future customer support cases for the customer support campaign. The humanoid can provision itself to handle at least one future customer support case in the customer support campaign in response to determining that it is adequately trained for the customer support campaign.

Abstract: Consumption-based licensing of network features based on blockchained transactions includes receiving, at a server having connectivity to a network including a plurality of network devices, a request from a particular network device of the plurality of network devices for a feature that is licensed in the network on a per-use basis. Feature-specific key blockchain elements and a feature-specific template are generated for the feature and at least one message that includes the feature-specific key blockchain elements and the feature-specific template is sent to the particular network device. The message enables the plurality of network devices to generate one or more blockchain transactions related to consumption of the feature when a usage interval associated with the feature expires.

Abstract: Consumption-based licensing of network features based on blockchained transactions includes receiving, at a server having connectivity to a network including a plurality of network devices, a request from a particular network device of the plurality of network devices for a feature that is licensed in the network on a per-use basis. Feature-specific key blockchain elements and a feature-specific template are generated for the feature and at least one message that includes the feature-specific key blockchain elements and the feature-specific template is sent to the particular network device. The message enables the plurality of network devices to generate one or more blockchain transactions related to consumption of the feature when a usage interval associated with the feature expires.

Abstract: The claimed subject matter provides a protection system for cargo on a portable platform. The protection system includes a corner protection member and/or a side protection member, wherein at least one opening is on the corner protection member and at least one opening is on the side protection member. The corner protection member contacts a corner of a portable platform and the side protection member contacts a side of a portable platform. A strap can lace into at least one of the opening on the corner protection member and/or the side protection member to bear force from such strap.