Abstract: In one example embodiment, a computer-implemented method and system for providing job status information for an IoT device are disclosed. The method providing job status information for an IoT device includes receiving location information of the IoT device; receiving job assignment information for the IoT device; and evaluating the location information to determine the job status for the IoT device based on a specified condition. The system for providing job status information for an IoT devices includes at least one IoT device, a data processing system and a user interface, wherein the data processing system further comprises a storage database, wherein the storage database receives location information of the IoT device and job assignment information for the IoT device; an analytics engine, wherein the analytics engine evaluates the location information to determine the job status for the IoT device based on a specified condition.

Abstract: A method for capacity planning of a DBSM network, includes selecting at least one RESOURCE against which the TARGET_SYSTEM will be optimized, selecting at least one performance counter for which a planning engine forecast is created, collecting said performance counter MONITORING_DATA, defining rules for each performance counter against which a predicted TIME_SERIES is validated, adjusting SOURCE_SYSTEM OBJECT CONSTRAINTS and TIME_SERIES data, defining TARGET_SYSTEM LOGICAL_TOPOLOGY with desired OBJECTS setup, preferred configurations, maximum count for each setup OBJECT type and possible processing order, adjusting TARGET_SYSTEM OBJECT CONSTRAINTS, benchmarks and TIME_SERIES data, evaluating and comparing all needed refactored SOURCE_SYSTEM OBJECT TIME_SERIES against given TARGET_SYSTEM with preconfigured LOGICAL_TOPOLOGY and processing order of OBJECT SETUP_DATA to have minimum amount of primary target RESOURCE defined in total for all TARGET_SYSTEM host servers meeting their respective CONSTRAINTS and outp

Abstract: The present teaching relates to dynamically generate a score floor model that provides a dynamically determined threshold metric to be used to select future bids that satisfy a first and second set of metrics. Feedback information is first received that relates to a plurality of bids previously submitted by a bidder to a publisher, wherein the feedback information indicates whether each of the plurality of bids has led to an impression. The first set of metrics specified by the publisher is obtained and the second set of metrics is retrieved. The score floor model with respect to the publisher is dynamically updated based on the feedback information as well as the first and second sets of metrics.

Abstract: Described herein are embodiments of a system that permits various entities (e.g., hiring, staffing, and client computer systems and/or devices) involved in the placement of a candidate to a job to interact systematically to carry out functions that conventional systems are unable to perform. These functions may, for example, include synchronizing systems of different entities involved in placing a worker, effectively tracking a temporary workers during a placement and/or hiring process, and post placement activities. To this end, systems and method are provided that permit a handshake process between disparate systems to complete a candidate placement process, timesheet approval and processing, consolidated invoicing, customized analytics and reporting, supplier onboarding of temporary workers, and post-hiring tracking, among other novel tools, interfaces and functionality.

Abstract: The disclosed systems and methods aid advertisers in improving the calculation of the return on investment (ROI) for online marketing. The systems and methods allow advertisers to calculate the ROI of the online marketing of one or a plurality of advertisements by tracking the user identifier of the user devices used to interact with online marketing materials (e.g., online advertisement) and then, once a purchase is made, reconciling which marketing materials the customer interacted leading up to the purchase.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for an interactive analytics platform responsive to data inquiries. These aspects include identifying a request for energy consumption data of an energy user from a user in a live interaction with the energy user. A utility bill as well as energy consumption data associated with the second user may be retrieved using an authentication of the second user. Energy consumption factors that influence a billing amount of the utility bill may be identified based on the energy consumption data. An interface with specific billing insights that correspond to the energy consumption factors is generated. The specific billing insights provide an explanation as to why the billing amount of the utility bill exceeded a cost expectation of the second user. The interface mapped with the utility bill may be provided for display to the user.

Abstract: A system includes reception of a first data record, identification of one or more component elements in the first data record, application of a cleansing operation to change a first component element of the one or more component elements to a first cleansed component element, the first cleansed component element being different from the first component element, automatic determination a change significance of the change, and storage an identifier of the first cleansed component element in association with an identifier of the change significance.

Abstract: A business process management (BPM) system, a business event processing system, and a business visibility system are integrated into a responsive process management platform using standardized messages to permit communication and collaboration among the systems. The BPM system has the capability to model and execute at least one monitoring process including at least one monitoring workstep. This monitoring process makes visible in the BPM system processes of interest that are executing in external systems. The business event processing system and/or the business visibility system have tools to allow users to easily configure those systems to sense events and send appropriate standardized messages to the other systems, can extract and send data to the BPM system, and can send alerts to the BPM system.

Abstract: Various embodiments include systems and methods for search result ranking using machine learning. A goal model can be created using machine learning. Responsive to a search query, a plurality of data factors can be inputted into the goal model to create a model output. Search results can be presented to a user based on the model output.

Abstract: Disclosed herein are an energy saving method based on a confidence interval and an apparatus using the method. The energy saving apparatus based on a confidence interval includes an energy saving performance analysis unit for generating energy saving performance data for each of one or more control modules included in a target system for which energy saving is to be performed, a confidence interval reading unit for generating confidence interval data for each of the one or more control modules, and an energy saving execution unit for establishing an energy-saving policy using the energy saving performance data and executing energy saving for each of the one or more control modules using at least one of the energy-saving policy and the confidence interval data.

Abstract: A system and method to determine building thermal performance parameters through empirical testing is described. The parameters can be formulaically applied to determine fuel consumption and indoor temperatures. To generalize the approach, the term used to represent furnace rating is replaced with HVAC system rating. As total heat change is based on the building's thermal mass, heat change is relabeled as thermal mass gain (or loss). This change creates a heat balance equation that is composed of heat gain (loss) from six sources, three of which contribute to heat gain only. No modifications are required for apply the empirical tests to summer since an attic's thermal conductivity cancels out and the attic's effective window area is directly combined with the existing effective window area. Since these tests are empirically based, the tests already account for the additional heat gain associated with the elevated attic temperature and other surface temperatures.

Abstract: A system and computer program product for an integrated blog in a collaborative environment is provided. In this regard, the computer program product includes a computer program comprising a set of instructions which when executed by a machine causes the machine to perform the steps of processing a single sign-on for a member of the collaborative environment, associating a role with the member so as to place the member into a collaborative space in the collaborative environment and to regulate the member in interacting with the collaborative space, retrieving a list of collaborative applications for the role assigned to the member, and loading the collaborative applications in the list into the collaborative space for use by the member from within the collaborative space, the collaborative applications including at least a blogging application.

Abstract: A messaging platform includes a text messaging subsystem that includes a suite of enhancements that facilitate implementation of a multi-channel communications strategy with high level and fine-grained control over outbound message creation or inbound message handling.

Abstract: Provided are processes of monitoring or modifying a network of electronically connected assets that dynamically builds relationships and dependencies among detected vulnerabilities in one or more of the assets and sensor measurements so that risk assessment can be achieved more accurately and in real-time. A process includes: identifying a plurality of vulnerabilities on a network of electronically interconnected devices representing one or more critical assets; determining dependencies between each vulnerability in the plurality of vulnerabilities; creating a hidden Markov model representing an attack state of each vulnerability of the plurality of vulnerabilities; determining the exploit likelihood of each of the attack states at a first time; determining the most probable sequences or paths of the attack states; and identifying dynamically the risk of one or more of the critical assets based on the sequences or paths of attack states.

Abstract: Embodiments of the present invention provide a system and method for collaborative data intelligence. Embodiments of the present invention can include one or more data stores and one or more data warehouses (DWHs), each individually configured to communicate with a physical storage management system. Embodiments of the present invention can be used to manage the chaotic disorder of social data in real time, using a collaborative DWH model and big data store, in order to assess the potential of data integration to reporting and decision management.

Abstract: A system for fault detection and diagnostics of equipment. The system may also be capable of disaggregation and/or virtual submetering of energy consumption by equipment, such as that of heating, ventilation and air conditioning, lighting, and so forth, in a building. Vibration and current sensors, along with one or more algorithms, may be utilized for fault detection and diagnostics of equipment. Models may be developed to aid in deducing energy consumption of individual components of equipment, and the like, for a building.

Abstract: A mobile “Applications Builder” established on the user's mobile handheld device creates a bucket or container for mobile applications (Apps) and selectively downloads applications that are appropriate to a search initiated by the consumer. The user search inputs are used as a contextualization input to identify the relevant product, service or brand and identify the Apps of companies that fall within the search parameters. The identified Apps are downloaded into a bucket and made available to the user to enable his search using tokens or logos for the products, services and brands he is interested in. Users can perform searches using scanned visual logos or visual tokens scanned. Visual tokens and logos contained within the bucket can be used to reduce the customer's effort during the search, while providing enlarged access to related items for consideration by the user as a marketing tool.

Abstract: A system and method for generating a custom revenue cycle model with automated lead movement are disclosed. According to one embodiment, a computer-implemented method comprises receiving user input, wherein the user input comprises at least one of data related to a stage, data related to a success path definition, and data related to transition rules for lead movement, wherein the stage is a revenue stage or a detour stage; generating a custom revenue cycle model based on the user input; storing the custom revenue cycle model; providing for automated lead movements based on the transition rules; and providing for automated tracking of lead movements in the custom revenue cycle model.

Abstract: A system for charging an electric vehicle uses an in-cable control box (ICCB), and includes: an electrical connecting device for slow charging which supplies a vehicle with electricity, which is supplied through an RFID power socket when the electrical connecting device is connected to the RFID power socket, so as to charge the vehicle, in which the electrical connecting device collects information about electric energy used to charge the vehicle and information about a position where the vehicle is charged, in order to charge for electricity according to an electricity rate applicable to the vehicle.

Abstract: A metering system for metering consumption of a commodity. The metering system includes a meter socket, a meter, and a controller. The meter socket has a tag with identification information. The meter includes a sensor configured to read the identification information from the tag of the meter socket and provide a signal indicative of the identification information from the tag. The controller includes a memory and a processor and is configured to record energy consumption data from the meter. The processor is configured to receive the signal indicative of the identification information of the tag and associate the energy consumption data with the identification information of the tag. The processor is further configured to store the energy consumption data associated with the identification information of the tag in the memory.

Abstract: Apparatus and methods related providing city services, such as parking, are described. Methods and apparatus for providing parking rewards programs are described. The methods and apparatus can include maintaining accounts for participants in the rewards program, tracking purchases of parking and other participant activities and determining parking awards based upon the activities. The parking rewards programs can be used to incentivize behaviors that balance the use of the parking space commodity according to the needs of different stakeholders, such as the city, residents, merchants and visitors. For example, parking awards and the criteria used for earning awards can be used to encourage particular behaviors while a parking space is being utilized, such as shopping, the use of public transportation or efficient trip planning.

Abstract: A method, system, and/or computer program product performs rule execution in decision services. One or more specialized rulesets classified by decision partitions are based on defined clustering predicates of decision service signatures for business rules. A decision request is received from a client, and one or more parameters of the decision request are input to a clustering predicate based on decision service signatures to produce a decision category. A specialized ruleset for the decision request is determined based on the decision category, and the decision request is forwarded for processing to the specialized ruleset. A decision input is then returned from the specialized ruleset.

Abstract: A method of assessing environmental performance includes: receiving, by a processing device, input data related to aspects of an energy industry operation; estimating a first environmental impact of the operation based on the input data; selecting an alternative implementation of the operation; estimating a second environmental impact of the alternative implementation; comparing the first environmental impact and the second environmental impact; and generating an output based on the comparison, the output indicating a change in environmental impact associated with replacing the operation with the alternative implementation.

Abstract: Systems and methods for realizing a complex building system are disclosed. The systems and methods utilize computer-based techniques to rapidly explore large numbers of pattern matching scenarios on a scale which heretofore has not been attempted. In an embodiment, the computer-based technique performs large-scale pattern matching operations to find the best match between functional patterns and spatial patterns. For example, with reference to a particular building system, the technique involves operational modeling to identify the types and volumes of services to provide (functional patterns) and to characterize the physical relationships between the services (e.g., adjacency preferences), along with establishing libraries of three dimensional spaces (spatial patterns), in the form of room and department libraries and building massing configuration libraries.

Abstract: Technical solutions for detection potential data quality problems are provided. In some implementations, a method includes: automatically without human intervention, identifying a subset of side effect data associated with a set of enterprise data. The side effect data include a plurality of data fields. The method further includes: selecting a first set of data quality detection rules in accordance with a first data field in the plurality of data fields; identifying one or more candidate data quality problems in the set of side effect data by comparing the set of side effect data to the first set of data quality detection rules; and responsive to identifying the one or more candidate data quality problems: causing to be displayed to a user: information representing the one or more candidate data quality problems; and one or more candidate solutions for correcting the one or more candidate data quality problems.

Abstract: Methods and apparatuses, including computer program products, are described for measuring greenhouse gas. A calibration device receives a first sample of atmospheric gas from a first port exposed to the earth's atmosphere. The calibration device receives a second sample of atmospheric gas from a second port exposed to the earth's atmosphere. The calibration device routes the first sample and the second sample to a measurement device for greenhouse gas analysis. The measurement device determines a characteristic of a greenhouse gas present in at least one of the first sample and the second sample. The measurement device transmits data associated with the determined characteristic of the greenhouse gas to a computing device for determining sinks and sources of the gas.

Abstract: Methods, systems, and products determine a cost to correct mortgage applications. When electronic data is submitted in an electronic mortgage application form, the electronic data is checked for errors. If an error is determined, a cost to resolve the error is also determined.

Abstract: Techniques are described for recommending levels of configuration for a set of targets. According to one embodiment, an image advisor generates a set of software configuration classifications based on a set of attributes associated with a plurality of targets. The image advisor associates each respective software configuration classification in the set of software configuration classifications with one or more targets of the plurality of targets. Based on the set of software configuration classifications, the image advisor generates and provides a recommendation that identifies a recommended set of source components for one or more groups of targets in the plurality of targets. In another embodiment, the image advisor may provide a set of recommended software configuration levels that include a fewer number of software configuration levels than a set of current software configuration levels.

Abstract: Systems and methods are provided for analyzing through one-pass of unstructured time stamped data of a physical process. A distribution of time-stamped unstructured data is analyzed to identify a plurality of potential hierarchical structures for the unstructured data. A hierarchical analysis of the potential hierarchical structures is performed to determine an optimal frequency and a data sufficiency metric for the potential hierarchical structures. One of the potential hierarchical structures is selected as a selected hierarchical structure based on the data sufficiency metrics. The unstructured data is structured according to the selected hierarchical structure and the optimal frequency associated with the selected hierarchical structure, where said structuring of the unstructured data is performed via a single pass though the unstructured data. The identified statistical analysis of the physical process is performed using the structured data.

Abstract: A method is provided for efficiently managing energy consumption using stored energy. The method accepts input energy (e.g., from a power utility) and maintains a record of energy consumption. An energy consumption peak is predicted in response to analyzing the record of energy consumption, and the input energy is augmented with stored energy during the predicted energy consumption peaks. More explicitly, a peak shaving value is selected based on a fraction of the predicted energy consumption peak, and the stored energy is used when energy consumption exceeds the peak shaving value. In one aspect, after a determination is made to use stored energy, it is simply used while it is available. Otherwise, it is supplied based upon an analysis of a predicted value of the stored energy.

Abstract: According to some embodiments, actual business data in an enterprise database may be used in accordance with an enterprise performance management planning model, stored and executed by a processor at the enterprise database, to automatically generate predicted business data. The predicted business data may then be stored in an instantiation of a plan data container at the enterprise database.

Abstract: Systems and methods for determining the performance of a content network include determining a differential performance for the network. A first performance metric for the content network may be determined for content auctions that the content network won. A second performance metric may also be determined that represents a performance metric based on predicted auction results that disregard the participation of the content network in the auctions. A differential performance metric for the content network may also be determined based on the difference between the first and second performance metrics.

Abstract: A method for setting a performance target in an outcome driven business model. The method includes receiving historical data, comprising industry performance data, for the outcome driven business model and performance target settings, including a forecasting horizon and confidence level. The method includes calculating, for a plurality of forecasting methods and the forecasting horizon, a function associated with a probability of an industry benchmark performance meeting a threshold value. The method includes determining, based on the function for each of the plurality of forecasting methods, a best forecasting method of the plurality of forecasting methods at the forecasting horizon and the confidence level. The method includes calculating, based on the historical data and the forecasting horizon, using the best forecasting method, a forecast benchmark value.

Abstract: Embodiments of the invention relate to systems, methods, and computer program products for identifying probable impacted business parameters, such as business applications, business teams/organizations at the onset of a business change-event, such as a business project, initiation of product/service offering or the like. Embodiments rely on analysis of historical data and architecture blueprints, driven by a predefined statistical model to determine probable impacted business parameters. Additionally, embodiments provide for determining the level-of-impact, in terms of hours and financials and/or the priority of the probable impacted business parameters. In addition, embodiments provide for automated notification of individuals and/or entities associated with the probable impacted business parameters.

Abstract: Method and Apparatus for rapid scalable unified infrastructure system management platform are disclosed by discovery of compute nodes, network components across data centers, both public and private for a user; assessment of type, capability, VLAN, security, virtualization configuration of the discovered unified infrastructure nodes and components; configuration of nodes and components covering add, delete, modify, scale; and rapid roll out of nodes and components across data centers both public and private.

Abstract: Method and Apparatus for rapid scalable unified infrastructure system management platform are disclosed by discovery of compute nodes, network components across data centers, both public and private for a user; assessment of type, capability, VLAN, security, virtualization configuration of the discovered unified infrastructure nodes and components; configuration of nodes and components covering add, delete, modify, scale; and rapid roll out of nodes and components across data centers both public and private.

Abstract: Method and Apparatus for rapid scalable unified infrastructure system management platform are disclosed by discovery of compute nodes, network components across data centers, both public and private for a user; assessment of type, capability, VLAN, security, virtualization configuration of the discovered unified infrastructure nodes and components; configuration of nodes and components covering add, delete, modify, scale; and rapid roll out of nodes and components across data centers both public and private.

Abstract: A method for predicting service delivery costs for a changed business requirement including detecting an infrastructure change corresponding to the changed business requirement affecting a computer server, deriving a service delivery workload change of the computer server from the infrastructure change, and determining a service delivery cost of the computer server based on the service delivery workload change.

Abstract: Automatically accesses, from a database, the rate of power consumption of each object on a displayed list and automatically calculating the power consumption of each object over a planned period time of use of the object. Then, during actual use, the actual power consumption of each object on the list is automatically tracked over the planned period of time of use and the difference between the planned and actual power consumption of each object on the list is automatically calculated. The difference for each object on the list is displayed so that the user may take action interactively.

Abstract: A method and system for developing data integration applications with reusable semantic types to represent and process application data. Methods include creating schemas to describe external data, creating semantic types to describe internal data, mapping schemas to semantic types, developing dataflows that configure input and output operations using schemas, mappings, and semantic types and all other transformation operations and functions based solely on semantic types, and executing dataflows defined in this manner.

Abstract: The present disclosure relates to a tool for identifying the probability of liquidation of a company. The system may be configured to collect indicators of liquidation data from a plurality of companies. The system may analyze the indicators of liquidation data to determine placement of a company of the plurality companies along a bankruptcy timeline. The system may mitigate a downside risk to a financial institution based on the placement. The computer based system may be configured to determine if a company has entered a bankruptcy proceeding. Term data may be scraped from a website, such as PACER, comprising legal proceeding data associated with the company for targeted terms. The computer based system may be configured to collect financial indicators pertinent to the bankruptcy proceeding from financial reports, analyze based on the identified targeted terms, the financial indicators.

Abstract: A system and method for deriving a material change attribute over time to predict a future change in at least one predictor, the method comprising: collecting precursor data from at least one data source; processing the precursor data by assessing at least one characteristic of the precursor data; generating at least one material change signal from the processed precursor data; evaluating the material change signal to determine the signal's value in predicting future changes in the predictor and, optionally, reverting to the collection and processing steps above to process additional precursor data; and generating at least one the material change attribute from the evaluated material change signal.

Abstract: Systems and methods for predicting trace information include determining a plurality of trace candidates for one or more traces having missing path information, the plurality of trace candidates having path information for tasks of a business process model, which includes a plurality of independent parallel paths. Probabilities that each of the plurality of trace candidates for the business process model is an actual trace are computed using a processor for the one or more traces. One of the plurality of trace candidates is identified as the actual trace based on the probabilities to predict path information of the one or more traces.

Abstract: A technique for performing commercial venture analysis involves establishing an empirically-derived structure and evaluating companies using analytical techniques within that structure. The technique may involve defining jobs, or goals a customer is attempting to reach, with dozens or even hundreds of outcomes. Ideally, the structure and tools facilitate analysis that would not be possible otherwise. Moreover, the nature of the system enables real-time input for changing conditions and the ability to calculate returns for new markets in which products or services do not exist.

Abstract: Strategic planning and strategy execution is important in organizations of various sizes and types, such as business and industry, government, and nonprofit organizations. While strategic planning and strategy execution are important, present systems and methods present challenges in providing for a system that links all aspects of strategic planning and strategy execution and communicates strategic planning and strategy execution throughout an organization. The present disclosure provides a system and method with an ability to articulate and align objectives, measures, targets, resources, activities, and outputs with desired outcome(s) and desired impact.

Abstract: A computerized method for sales optimization including receiving at a computer server a digital representation of a portion of an interaction between a customer and an organization representative, the portion of an interaction comprises a speech signal of the customer and a speech signal of the organization representative; analyzing the speech signal of the organization representative; analyzing the speech signal of the customer; determining a distance vector between the speech signal of the organization representative and the speech signal of the customer; and predicting a sale success probability score for the captured speech signal portion.

Abstract: The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.

Abstract: In general, in one aspect, a method for developing an asset by competition includes specifying standards for an asset, receiving from potential contestants indicia of interest in participating in an asset development competition in which the contestants compete to develop an asset, and determining an estimated likelihood that the asset development competition will result in an asset that meets the minimum standards based on historical information about the performance of the contestants from whom the indicia of interest were received. Steps may be taken to increase the estimated likelihood of success, upon a determination that the likelihood is less than desired. Steps may be taken to prevent registration by additional participants, upon a determination that the estimated likelihood is at or above a predetermined threshold.

Abstract: The disclosed embodiments relate to a system for analyzing performance in an online professional network. During operation, the system receives time series data for user actions, wherein for each user action, the time series data comprises a series of numbers associated with consecutive time intervals, wherein a given number indicates a number of times the user action occurred during the time interval. The system also receives time series data for performance metrics, wherein for each performance metric, the time series data comprises a series of numbers associated with consecutive time intervals, wherein a given number indicates the number of times the performance metric occurred during the time interval. The system then performs a time series analysis on the received time series data for user actions and performance metrics to determine relationships between the user actions and the performance metrics.

Abstract: A computer-implemented method for benchmarking, accounting, analysis, and cost forecasting is provided. In exemplary embodiments, the method may comprise, at a server having one or more processors and memory storing one or more programs for execution by the one or more processors: harvesting raw data from a plurality of sources; indexing the harvested data according to predetermined data categories relating to municipalities; organizing the data based on the indexed data and the geographic location associated with the data; storing the organized data in a database; and generating and displaying a profile page for a selected region based on the organized data stored in the database.