Abstract: Examples of the present disclosure describe systems and methods for on-device, in-browser AI processing. In examples, a selection of an AI pipeline is received. Content associated with the AI pipeline is also received. The content is segmented into multiple data segments and a set of data features is generated for the data segments. AI modules associated with the AI pipeline are loaded to create the AI pipeline. The set of data features is provided to the AI pipeline. The AI pipeline is executed to generate insights for the set of data features. The insights are then provided to a user.

Abstract: A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

Abstract: System and methods for enforcing service level agreements (SLAs) between computing platforms engaged in (e.g., Internet-of-Things) data exchange via peer-to-peer (P2P) connections are described. In accordance with various embodiments, data traffic via the P2P connections is monitored, and if an SLA violation is detected, data streams are rerouted to cure the violation.

Abstract: System and methods for enforcing service level agreements (SLAs) between computing platforms engaged in (e.g., Internet-of-Things) data exchange via peer-to-peer (P2P) connections are described. In accordance with various embodiments, data traffic via the P2P connections is monitored, and if an SLA violation is detected, data streams are rerouted to cure the violation.

Abstract: System and methods for enforcing service level agreements (SLAs) between computing platforms engaged in (e.g., Internet-of-Things) data exchange via peer-to-peer (P2P) connections are described. In accordance with various embodiments, data traffic via the P2P connections is monitored, and if an SLA violation is detected, data streams are rerouted to cure the violation.

Abstract: A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

Abstract: A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

Abstract: The present disclosure involves systems, software, and computer implemented methods for provisioning insight services in a data provider landscape. A method includes presenting an algorithm description of an algorithm provided by an algorithm provider that is to be executed in a landscape of a data provider. Selection of the algorithm is received from a data consumer. The selected algorithm is provided to an agent at the data provider. The agent is configured to provision resources in the landscape of the data provider, according to the algorithm description, to enable execution of the selected algorithm in the landscape of the data provider. The agent is configured to execute the selected algorithm in the landscape of the data provider, using data included in the landscape of the data provider, producing one or more outputs. The agent is configured to enable monitoring of the execution of the selected algorithm.

Abstract: Techniques are described for sharing data among Internet of Things (IoT) networks. An IoT network may include a platform that collects data generated by IoT devices. The platform may execute an agent that sends a communication to indicate the network presence of the sending platform to broker module(s) that support a data sharing service. The communication may also indicate the type and/or quantity of data generated by the sending platform and available to be shared with other receiving platforms in other IoT networks. The data broker module(s) may generate and send security tokens to the agents executing on the sending platform and receiving platform(s). Using the security tokens, the respective agents may establish a peer-to-peer (P2P) connection over a network over which the data is streamed in real time as it is received and/or processed by the sending platform.

Abstract: A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

Abstract: A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

Abstract: Techniques are described for sharing data among Internet of Things (IoT) networks. An IoT network may include a platform that collects data generated by IoT devices. The platform may execute an agent that sends a communication to indicate the network presence of the sending platform to broker module(s) that support a data sharing service. The communication may also indicate the type and/or quantity of data generated by the sending platform and available to be shared with other receiving platforms in other IoT networks. The data broker module(s) may generate and send security tokens to the agents executing on the sending platform and receiving platform(s). Using the security tokens, the respective agents may establish a peer-to-peer (P2P) connection over a network over which the data is streamed in real time as it is received and/or processed by the sending platform.

Abstract: Techniques are described for sharing data among Internet of Things (IoT) networks. An IoT network may include a platform that collects data generated by IoT devices. The platform may execute an agent that sends a communication to indicate the network presence of the sending platform to broker module(s) that support a data sharing service. The communication may also indicate the type and/or quantity of data generated by the sending platform and available to be shared with other receiving platforms in other IoT networks. The data broker module(s) may generate and send security tokens to the agents executing on the sending platform and receiving platform(s). Using the security tokens, the respective agents may establish a peer-to-peer (P2P) connection over a network over which the data is streamed in real time as it is received and/or processed by the sending platform.

Abstract: System and methods for enforcing service level agreements (SLAs) between computing platforms engaged in (e.g., Internet-of-Things) data exchange via peer-to-peer (P2P) connections are described. In accordance with various embodiments, data traffic via the P2P connections is monitored, and if an SLA violation is detected, data streams are rerouted to cure the violation.

Abstract: A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

Abstract: The present disclosure involves systems, software, and computer implemented methods for provisioning insight services in a data provider landscape. A method includes presenting an algorithm description of an algorithm provided by an algorithm provider that is to be executed in a landscape of a data provider. Selection of the algorithm is received from a data consumer. The selected algorithm is provided to an agent at the data provider. The agent is configured to provision resources in the landscape of the data provider, according to the algorithm description, to enable execution of the selected algorithm in the landscape of the data provider. The agent is configured to execute the selected algorithm in the landscape of the data provider, using data included in the landscape of the data provider, producing one or more outputs. The agent is configured to enable monitoring of the execution of the selected algorithm.

Abstract: Techniques are described for sharing data among Internet of Things (IoT) networks. An IoT network may include a platform that collects data generated by IoT devices. The platform may execute an agent that sends a communication to indicate the network presence of the sending platform to broker module(s) that support a data sharing service. The communication may also indicate the type and/or quantity of data generated by the sending platform and available to be shared with other receiving platforms in other IoT networks. The data broker module(s) may generate and send security tokens to the agents executing on the sending platform and receiving platform(s). Using the security tokens, the respective agents may establish a peer-to-peer (P2P) connection over a network over which the data is streamed in real time as it is received and/or processed by the sending platform.

Abstract: A method, medium, and system to retrieve a web resource of a web site from a host server of the web site, the web resource having a validity indicator; store the web resource in a local memory of a web browser; determine whether the validity indicator is valid; and update, prior to an expiration of the validity indicator, the validity indicator of the web resource stored in the local memory of the web browser, the validity indicator including at least one of an expiration date and a build version of the web site.

Abstract: A system is programmed to execute a method that includes loading a cascaded style sheet (CSS) file for a web document into a memory of a computer system and appending a selector to a rule of the loaded CSS file to be applied to a selected document object management (DOM) element.

Abstract: According to some embodiments, business data may be received from a remote business server. A graphical three-dimensional virtual environment may then be dynamically rendered, in substantially real time, based on the received business data. Interactions may occur with a user via the virtual environment, and business data stored at the remote business server may be updated in accordance with the interactions.