Abstract: An example operation may include one or more of receiving a data file submitted by a node, the data file comprising information about an event-driven process for a chain of nodes, retrieving an entitlement mode of the data file from a data block that is stored among a hash-linked chain of data blocks on a distributed ledger, determining access rights of the data file with respect to another node in the chain of nodes based on the retrieved entitlement mode of the data file, and transmitting information about the event-driven process to the other node based on the determined access rights of the other node.

Abstract: An example operation may include one or more of releasing, by a subscription service node, at least one blockchain transaction to a plurality of subscribing blockchain nodes requiring direct entitlement access, executing, by the subscription service node, a smart contract to calculate secondary entitlements triggered by the at least one blockchain transaction, determining, by the subscription service node, portions of second entitlement data sets allowed to be accessed by a subset of the plurality of the subscribing blockchain nodes, and sending verification data to the plurality of the subscribing blockchain nodes for verification of the second entitlement data sets.

Abstract: An example operation includes one or more of traversing, by a modeling node, a supply-chain downstream from an initial step, detecting, by a modeling node, a multi-organization step, and responsive to the detection of the multi-organization step, executing a branch prediction algorithm to determine downstream granted organizations.

Abstract: An example operation includes one or more of detecting a fork in a supply-chain by a modeling node, resolving, by the modeling node, a branch prediction to determine a likely access control, generating, by the modeling node, a range of information based on a branch confidence level, and responsive to the resolution of the branch prediction, revoking access from a document or granting a greater access to the document based on the range.

Abstract: An example operation includes one or more of detecting a fork in a supply-chain by a modeling node, resolving, by the modeling node, a branch prediction to determine a likely access control, generating, by the modeling node, a range of information based on a branch confidence level, and responsive to the resolution of the branch prediction, revoking access from a document or granting a greater access to the document based on the range.

Abstract: An example operation includes one or more of traversing, by a modeling node, a supply-chain downstream from an initial step, detecting, by a modeling node, a multi-organization step, and responsive to the detection of the multi-organization step, executing a branch prediction algorithm to determine downstream granted organizations.

Abstract: An example operation may include one or more of releasing, by a subscription service node, at least one blockchain transaction to a plurality of subscribing blockchain nodes requiring direct entitlement access, executing, by the subscription service node, a smart contract to calculate secondary entitlements triggered by the at least one blockchain transaction, determining, by the subscription service node, portions of second entitlement data sets allowed to be accessed by a subset of the plurality of the subscribing blockchain nodes, and sending verification data to the plurality of the subscribing blockchain nodes for verification of the second entitlement data sets.

Abstract: From a hardware sensor at a first time, sensor data comprising a first sample and a second sample is received. The sensor data is modified to create new data, wherein a first data point of the new data corresponds to the first sample, a second data point of the new data corresponds to the second sample, and wherein the first data point and the second data point are arranged differently from the first sample and the second sample. The hardware sensor is emulated by sending, to a consumer of hardware sensor data at a second time, the new data instead of the sensor data.

Abstract: From a hardware sensor at a first time, sensor data comprising a first sample and a second sample is received. The sensor data is modified to create new data, wherein a first data point of the new data corresponds to the first sample, a second data point of the new data corresponds to the second sample, and wherein the first data point and the second data point are arranged differently from the first sample and the second sample. The hardware sensor is emulated by sending, to a consumer of hardware sensor data at a second time, the new data instead of the sensor data.

Abstract: An example operation may include one or more of receiving a data file submitted by a node, the data file comprising information about an event-driven process for a chain of nodes, retrieving an entitlement mode of the data file from a data block that is stored among a hash-linked chain of data blocks on a distributed ledger, determining access rights of the data file with respect to another node in the chain of nodes based on the retrieved entitlement mode of the data file, and transmitting information about the event-driven process to the other node based on the determined access rights of the other node.

Abstract: An approach is disclosed that receives, at a wearable sensing element worn by a user, sensor data that pertains to the user's physiological functions. Physiological states pertaining to the user are calculated from the received sensor data, with the physiological states including both physical states and mental states. The calculated physiological state is matched to an environmental action states, and environmental actions are responsively performed to change a physical environment of the user.

Abstract: Content from a technical library is retrieved by associating a SIP URI and a HTTP URI with each one of a plurality of existing entries in a technical library maintained by an autonomous computer-based technical assistant. The SIP URI is used on a computing system in communication with the technical assistant across a computer network to communicate a visual image of a device from a user of that device to the technical assistant. The communicated visual image is used to construct a three-dimensional model of the device, which is then used to identify at least one existing entry in the technical library maintained. Each identified existing entry contains technical data associated with the user device. The HTTP URI associated with the identified existing entry in the technical library is used to display the technical data on the computing system associated with the user.