Abstract: An improved approach to creating a plan for a well. A user receives an initial well plan for a planned well and uses the initial well plan as a starting point for alternate well plans. This is done by creating a copy of the initial well plan, allowing the various uses to make changes to the initial well plan, and executing various automatic validation routines on the alternate designs. These validation routines can provide estimated times and costs to complete the planned well use the alternate well plan. The approach can also involved displaying the estimated times and costs of the different candidate well plans. The user can then select one of the candidate well plans as the master well plan. As replanning is done during the operations, this replanning information, along with the actual executed actions, is captured and stored.

Abstract: A system for controlling and managing a chain of energy products designed to computerize and digitalize a plurality of steps of the chain includes a database centralized and customized depending on implementation needs, required by a user, and designed to collect data related to the steps of the chain. A managing module is designed to perform an analysis of functional information implementing procedures aimed to computerize the chain of energy products. A plurality of operating areas is designed to be interfaced through communication interfaces with the database and with the managing module and to process functional information from data collected from the database and supply them to the managing module. An operating system controls the operation of the database and of the managing module. A related process is used to computerize and digitalize a chain of energy products.

Abstract: A method can include receiving information that includes well trajectory information, wellsite equipment information and driller information; based at least in part on the information, determining a level of detail of human executable well plan instructions; based at least in part on the information, generating a well plan where the well plan includes human executable well plan instructions based on the determined level of detail; and outputting the well plan.

Abstract: Methods, non-transitory computer readable media, and computing devices are disclosed that obtains and stores a mapping of status values to process-blocks within stages associated with a linear process performed on an enterprise application network. A work item status in change records of the database is correlated with the status values based on the mapping to identify one of the stages for work items. Event records are then generated based on the correlation, activity records of the database, and another correlation of a unique identifier of one of the work items in each of the change and activity records. A generated value stream map (VSM) is then output for display that comprises a graphical timeline of activity associated with the linear process and metrics generated based on the event records and comprising real-time metrics for the process-blocks or stages and aggregate metrics for the linear process.

Abstract: A method provides predictions of key performance indicators of a product variant of a product family manufactured by a complex manufacturing system in a manufacturing process. The method provides a manufacturing operation model for each manufacturing operation type used to manufacture a product variant of the product family. Via the complex manufacturing system measured contributions to key performance indicators, process context data and process execution data of manufacturing operations, are provided. The model parameters of the provided manufacturing operation models are learned automatically based on collected process context data, collected process execution data, and measured contributions to key performance indicators, to update the manufacturing operation models.

Abstract: A system for managing digital governance in a digital ecosystem is provided.

Abstract: A method for a lead grading platform can include, receiving a lead from a lead vendor, wherein the lead comprises a plurality of lead attribute values, converting the plurality of lead attribute values to a plurality of benchmark values, assigning the lead to a pre-determined cluster and a pre-determined sub-cluster based on the plurality of benchmark values, determining a grade for the lead based on the pre-determined cluster and the pre-determined sub-cluster, and responding to the grade being greater than a threshold grade by: delivering the lead to a lead consumer. In this way, a conversion rate of leads delivered to a lead consumer may be greater than an overall conversion rate of an unfiltered population of leads.

Abstract: A method can include receiving state information for a wellsite system; receiving contextual information for a role associated with a workflow; generating a natural language report based at least in part on the state information and based at least in part on the contextual information; and transmitting the natural language report via a network interface based at least in part on an identifier associated with the role.

Abstract: Particular embodiments manage distribution of tasks to heterogeneous group of computing devices is disclosed. Computing devices in the group may have disparate attributes that may affect handling of a specific task (e.g., processing speed, network bandwidth, GPU availability, utilization, type of operating system, availability of certain utilities). Tasks may be received from task-requester computer systems, and each task may be associated with an information set. This information set may comprise a description of the task, a token to be provided for completion of the task, and at least one task-processing rule for a task result provided by one or more computing devices involved in handling the task. Task results are received and compared to the task-processing rule until the task-processing rule is satisfied.

Abstract: Systems, methods, and apparatuses for implementing a geo-demographic zoning optimization engine are disclosed.

Abstract: According to some implementations, compliance assessment metrics in a subset of two or more compliance assessment metrics are combined to form a combined compliance assessment metric. Each compliance assessment metric in the subset reflects a level of compliance of a set of rules with a different type of data privacy and/or data security laws, regulations, and/or policy. The set of rules are to manage personal data in an organization instance of a customer of a cloud-based software provider capable of hosting the organization instance in one or more datacenters in a plurality of different geographic regions. In addition, a dashboard, which is part of a data policy compliance service provided by the cloud-based software provider, is caused to be displayed and includes at least the combined compliance assessment metric.

Abstract: A method and system for a machine learning duster analysis of historical lead time data, which is augmented by one or more features. The data can also be divided into groups, based on time-density of the data, with clustering performed on each group. Furthermore, clustering can also be projected onto two dimensions. In addition, the historical lead time data is separated into a plurality of tolerance zones based on tolerance criteria. The clusters are separated in accordance with a tolerance zone of each group; and further separated according to one or more lead time identifiers to provide one or more separated clusters.

Abstract: Execution systems using unstructured data include one or more processors performing steps including accessing a workflow document; identifying, from the workflow document, an action and one or more first mappings between the action and data in the working document; identifying an API function for performing the action; executing one or more first SQL queries specified in the first mappings; extracting, from results of the first SQL queries, input data for the action; preparing one or more parameters to pass to the API function based on the input data; executing the API function to perform one or more tasks; receiving result data from the API function; retrieving, from the workflow document, one or more second mappings between the action and the data in the working document; and writing, using the query module using one or more second SQL queries specified in the second mappings, the result data into the working document.

Abstract: Methods, apparatus, and systems are disclosed to collect impressions associated with over-the-top media devices. An example apparatus includes memory; and at least one processor to execute instructions to access a first request, the first request from a user-controlled client device, the first request including an over-the-top device identifier that identifies an over-the-top device that presents media, in response to determining a user of the user-controlled client device is a panelist of a first server, store the over-the-top device identifier with demographics corresponding to the panelist, access a second request, the second request from the over-the-top device, the second request including the over-the-top device identifier and a media identifier, and log an impression associated with the media identifier and the demographics, the impression corresponding to the panelist of the first server.

Abstract: A restaurant service system for assessing the accuracy of estimated delivery time provided by a restaurant includes an order server, a restaurant server, a service server, and an assessment server. Each of the servers includes a server software application. The order server software application collects a set of orders from a set of diner devices. The restaurant server software application retrieves an estimated delivery time for each order in the set. The service server software application determines an order actual delivery time for at least one order in the set. The assessment server software application determines an accuracy measure of estimated delivery time for the restaurant.

Abstract: System and methods may facilitate user guidance to risk relationship documents for an enterprise. A risk relationship document data store may contain a set of electronic data records, each electronic data record being associated with a risk relationship document and including a document identifier and a set of document metadata values. A document navigation computer may receive information from a user associated with the enterprise, and, based on the information received from the user and document metadata values, dynamically create a sub-set of the documents in the risk relationship data document data store. An interactive user interface display computer may provide indications associated with the documents in the dynamically created sub-set to the user via an interactive user interface and receive a selected document of the dynamically created sub-set. The user interface display computer may then, responsive to the selection, deliver the selected document to a remote user device.

Abstract: A system and method of combining table management software and customer experience skills by generating profiles of patrons, servers, and restaurants by using machine learning algorithms on and location data in those profiles to build more intimate relationships between patrons, food service establishments, and food service professionals. Trait matching provides optimized matchmaking between patrons and servers who share certain commonalities or affinities while also balancing the table management operations. Machine learning algorithms may be used to identify patterns of commonality that would not otherwise be recognized. This system allows patrons to choose servers at an establishment over a plurality of electronic devices by using the cluster analysis results. It provides servers more lateral work experience between participating restaurants, and restaurants more power to operate smoothly and build highly cohesive teams.

Abstract: A cloud-based performance enhancement service captures and collects data relating to interactions of users with industrial automation systems of multiple industrial customers for storage and analysis on a cloud platform.

Abstract: A building risk analysis system including one or more memory devices storing instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive threats, each of the threats including a location, wherein each of the threats are threats of a particular threat category, determine a number of threats for each of geographic areas based on the location of each of the threats, and generate a distribution based on the number of threats for each of the geographic areas. The instructions further cause the one or more processors to determine a risk score for each of the geographic areas based on one or more characteristics of the distribution and the number of threats for each of the geographic areas.

Abstract: A mobile Quality Management/Control system for performing mobile product inspections is provided. A mobile device, such as a tablet, is configured to communicate with one or more databases and allow for real time entry (and subsequent access) of the details of product inspections for quality control and management purposes. The details of such inspections are maintained and available for all subsequent inspections. The mobile device is further configured to provide inspectors with inspection procedures and/or tutorials associated with the inspections being performed.