Abstract: Included are embodiments for tokenizing sensitive data. Some embodiments of systems and/or methods are configured to receive sensitive data from a vendor, determine a token key for the vendor, and utilize a proprietary algorithm, based on the token key to generate a vendor-specific token that is associated with the sensitive data. Some embodiments include creating a token identifier that comprises data related to the token key sending the vendor-specific token and the token identifier to the vendor.

Abstract: A computing device includes an appliance status table to store at least one of reliability and performance data for one or more network functions virtualization (NFV) appliances and one or more legacy network appliances. The computing device includes a load controller to configure an Internet Protocol (IP) filter rule to select a packet for which processing of the packet is to be migrated from a selected one of the one or more legacy network appliances to a selected one of the one or more NFV appliances, and to update the appliance status table with received at least one of reliability and performance data for the one or more legacy network appliances and the one or more NFV appliances. The computing device includes a packet distributor to receive the packet, to select one of the one or more NFV appliances based at least in part on the appliance status table, and to send the packet to the selected NFV appliance. Other embodiments are described herein.

Abstract: Some systems and/or methods are configured to receive sensitive data from a vendor, determine a token key for the vendor, and utilize a proprietary algorithm, based on the token key to generate a vendor-specific token that is associated with the sensitive data. A token identifier may be created that comprises data related to the token key sending the vendor-specific token and the token identifier to the vendor.

Abstract: Systems, devices, apparatuses, components, methods, and techniques for predicting user and media-playback device states are provided. Systems, devices, apparatuses, components, methods, and techniques for representing cached, user-selected, and streaming content are also provided.

Abstract: An artificially intelligent system for generating compliance-related content, the system includes monitoring circuitry that receives regulatory compliance data from published regulatory texts; a taxonomy engine that generates taxonomy-based classifications of the regulatory compliance data, the taxonomy-based classifications having a plurality of modules and compliance requirements within each module.

Abstract: The present application discloses a compound of formula (I) or a salt thereof: (I) and compositions comprising such compound or salt thereof. The use of such compound, salt thereof or composition comprising same for treating anemia or leukopenia, fibrosis, cancer, hypertension and/or a metabolic condition in a subject is also disclosed.

Abstract: Systems, devices, apparatuses, components, methods, and techniques for predicting user and media-playback device states are provided. Systems, devices, apparatuses, components, methods, and techniques for representing cached, user-selected, and streaming content are also provided.

Abstract: A system employing new and improved artificially intelligent system for employing modularized and taxonomy-based classifications to generate compliance-related content. In one embodiment, the system comprises monitoring circuitry that receives regulatory compliance data from one or more regulatory institutions, as well as a taxonomy engine that processes the regulatory compliance data to generate taxonomy-based classifications of the regulatory compliance data comprising a plurality of modules and compliance requirements within each module.

Abstract: Systems, devices, apparatuses, components, methods, and techniques for predicting user and media-playback device states are provided. Systems, devices, apparatuses, components, methods, and techniques for representing cached, user-selected, and streaming content are also provided.

Abstract: Included are embodiments for tokenizing sensitive data. Some embodiments of systems and/or methods are configured to receive sensitive data from a vendor, determine a token key for the vendor, and utilize a proprietary algorithm, based on the token key to generate a vendor-specific token that is associated with the sensitive data. Some embodiments include creating a token identifier that comprises data related to the token key sending the vendor-specific token and the token identifier to the vendor.

Abstract: Included are embodiments for tokenizing sensitive data. Some embodiments of systems and/or methods are configured to receive sensitive data from a vendor, determine a token key for the vendor, and utilize a proprietary algorithm, based on the token key to generate a vendor-specific token that is associated with the sensitive data. Some embodiments include creating a token identifier that comprises data related to the token key sending the vendor-specific token and the token identifier to the vendor.

Abstract: Systems, devices, apparatuses, components, methods, and techniques for predicting user and media-playback device states are provided. Systems, devices, apparatuses, components, methods, and techniques for representing cached, user-selected, and streaming content are also provided.

Abstract: Systems, devices, apparatuses, components, methods, and techniques for caching media content at a media-playback device are provided. Systems, devices, apparatuses, components, methods, and techniques for representing the cached, user-selected, and streaming content are also provided.

Abstract: A system employing new and improved artificially intelligent system for employing modularized and taxonomy-based classifications to generate compliance-related content. In one embodiment, the system comprises monitoring circuitry that receives regulatory compliance data from one or more regulatory institutions, as well as a taxonomy engine that processes the regulatory compliance data to generate taxonomy-based classifications of the regulatory compliance data comprising a plurality of modules and compliance requirements within each module.

Abstract: Included are embodiments for tokenizing sensitive data. Some embodiments of systems and/or methods are configured to receive sensitive data from a vendor, determine a token key for the vendor, and utilize a proprietary algorithm, based on the token key to generate a vendor-specific token that is associated with the sensitive data. Some embodiments include creating a token identifier that comprises data related to the token key sending the vendor-specific token and the token identifier to the vendor.

Abstract: Included are embodiments for tokenizing sensitive data. Some embodiments of systems and/or methods are configured to receive sensitive data from a vendor, determine a token key for the vendor, and utilize a proprietary algorithm, based on the token key to generate a vendor-specific token that is associated with the sensitive data. Some embodiments include creating a token identifier that comprises data related to the token key sending the vendor-specific token and the token identifier to the vendor.

Abstract: Systems, devices, apparatuses, components, methods, and techniques for predicting user and media-playback device states are provided. Systems, devices, apparatuses, components, methods, and techniques for representing cached, user-selected, and streaming content are also provided.

Abstract: Systems, devices, apparatuses, components, methods, and techniques for predicting user and media-playback device states are provided. Systems, devices, apparatuses, components, methods, and techniques for representing cached, user-selected, and streaming content are also provided.

Abstract: Included are embodiments for tokenizing sensitive data. Some embodiments of systems and/or methods are configured to receive sensitive data from a vendor, determine a token key for the vendor, and utilize a proprietary algorithm, based on the token key to generate a vendor-specific token that is associated with the sensitive data. Some embodiments include creating a token identifier that comprises data related to the token key sending the vendor-specific token and the token identifier to the vendor.

Abstract: Included are embodiments for tokenizing sensitive data. Some embodiments of systems and/or methods are configured to receive sensitive data from a vendor, determine a token key for the vendor, and utilize a proprietary algorithm, based on the token key to generate a vendor-specific token that is associated with the sensitive data. Some embodiments include creating a token identifier that comprises data related to the token key sending the vendor-specific token and the token identifier to the vendor.