Systems, methods, and apparatus for utilizing forward market pricing to facilitate operational decisions are disclosed. An example method may include interpreting a compute resource utilization requirement for a task system, and interpreting a behavioral data source, comprising entity behavioral data for an entity associated with the task system. The method may also include forecasting a forward market price for a compute resource in response to the compute resource utilization requirement and the behavioral data source, and, in response to the forward market price, adjusting an operation of the task system or executing a transaction.

Systems, methods, and apparatus for utilizing forward market pricing to facilitate operational decisions are disclosed. An example method may include interpreting a resource utilization requirement for a task system having at least one of a compute task, a network task, or a core task. The method may further include interpreting an automated agent behavioral data source to obtain behavioral data, and operating a machine to forecast a forward market value for a resource in response to the resource utilization requirement and the behavioral data. The method then includes, in response to the forecast of the forward market value for the resource, adjusting an operation of the task system or executing a transaction.

Methods for utilizing forward market pricing to facilitate operational decisions are disclosed. An example method may include interpreting a resource utilization requirement for a task system having at least one of a compute task, a network task, or a core task, and accessing an external provider to provide at least a portion of the compute task, the network task, or the core task. The method may also include interpreting a behavioral data source and operating a machine to forecast a forward market value for a resource in response to a remaining resource utilization requirement and the behavioral data source. The method may then include, in response to the forecast of the forward market value for the resource, adjusting an operation of the task system or executing a transaction.

The present invention relates to a content distribution management technology using blockchain technology. The content distribution management system using blockchain technology, according to one embodiment, may comprise: a purchase transaction generation unit for generating a purchase transaction in response to a content purchase request signal from a user terminal; a broadcasting processing unit for broadcasting the generated purchase transaction; a transaction processing unit for collecting a use transaction if, after the broadcast purchase transaction is verified, the content corresponding to the verified purchase transaction is used on the user terminal; a transaction verification unit for verifying the collected use transaction; a block generation unit for generating a first block and a second block corresponding to the verified use transaction; and a distributed ledger management unit for separately recording the generated first and second blocks in respective distributed ledgers.

A report cost estimation module is used with cloud storage systems that store and process client data. Reports on the cloud stored client data take a significant amount of CPU, memory, storage and networking resources. A data analysis model dynamically estimates pricing for client data reports according to resource consumption by identifying a cluster group for the report and using the designated regression model for the cluster group. The data analysis can store the estimated and actual report costs and improve the estimated report costs using machine learning algorithms and crowed sourcing techniques. The report price is accurately provided to the client before running the report and thus allowing the customer to carefully manage a client report budget.

A process for automatically certifying royalty and license fees in the music industry includes obtaining non-standardized exploitation data associated with a plurality of media items from a first plurality of data sources during a predetermined period of time, wherein the exploitation data is provided in a plurality of formats, applying a standardization schema to the non-standardized exploitation data to obtain standardized exploitation data, obtaining royalty data from a second plurality of data sources, wherein the royalty data comprises royalty parameters associated with one or more entities associated with the plurality of media items; and determining an entity-specific royalty data for the one or more entities based on the standardized exploitation data and the royalty data.

Systems and methods for using analyzed social media data to predict a forward resource market and automatically execute a resource transaction accordingly. An example system may include a machine having a resource requirement and a controller. The controller may include: a resource requirement circuit to determine an amount of a resource needed; a social media data circuit to interpret data from social media data sources; a forward resource market circuit to access a forward resource market; and a market forecasting circuit to predict a forward market price of the resource in response to the interpreted social media data. A resource distribution circuit may execute a resource transaction on the forward resource market in response to the determined amount of the resource and the predicted forward market price.

System, methods, and apparatus for arbitrage assisted resource transactions are disclosed. An example system includes a machine having a resource requirement and a controller. The controller includes a resource requirement circuit to determine an amount of a resource needed; a resource market circuit to access a resource market; a market testing circuit to execute a first transaction of the resource in response to the determined amount of the resource; and an arbitrage execution circuit to execute a second transaction of the resource on the resource market in response to the determined amount of the resource and an outcome of the execution of the first transaction, wherein the second transaction comprises a larger transaction than the first transaction.

Systems and methods for providing a report of an analytic result value based on IP data are disclosed. An example system may include a controller configured to: access a distributed ledger comprising a plurality of intellectual property (IP) data corresponding to a plurality of IP assets, wherein the plurality of IP assets comprises an aggregate stack of IP; tokenize the plurality of IP data; interpret a distributed ledger operation corresponding to at least one of the plurality of IP assets; determine an analytic result value in response to the distributed ledger operation and the tokenized plurality of IP data; provide a report of the analytic result value; and record a transaction on the distributed ledger in response to providing the report.

Methods for adjusting an operation of a task system or executing a transaction in response to a forecast of a forward market value are disclosed. An example method may include interpreting a resource utilization requirement for a task system having at least one of a compute task, a network task, or a core task; interpreting a behavioral data source; operating a machine to forecast a forward market value for a resource in response to the resource utilization requirement and the behavioral data source; and performing one of adjusting an operation of the task system or executing a transaction, in response to the forecast of the forward market value for the resource.