Abstract: A computer-implemented method for detecting oligopoly in a data processing system, the method comprising: pretending to be a first competing AI pricing engine for a business provider; querying, by a second competing AI pricing engine, the first competing AI pricing engine for a first price; providing, by the first competing AI pricing engine, a plurality of first prices to the second competing AI pricing engine; querying, by the first competing AI pricing engine, the second competing AI pricing engine for a second price; providing, by the second competing AI pricing engine, a plurality of second prices to the second competing AI pricing engine; identifying, by the processor, a correlation between the plurality of first prices and the plurality of second prices using a machine learning technique; and flagging, by the processor, the second competing AI pricing engine, as a possible oligopoly participant.

Abstract: This disclosure relates generally to cloud migration strategy and, more particularly, to estimation of per-application migration pricing and application move group sequence for cloud migration. The per-application migration pricing is the cost incurred to migrate an application from an organization's infrastructure to a cloud and the application move group sequence is an optimized application movement sequence from an organization's infrastructure to a cloud. The method and system propose to estimate the per-application pricing for cloud based on a set of optimization techniques and neural networks. Further the application move group sequence for cloud migration is estimated based on a forest poly tree optimization, a fuzzy ant colony optimization, a triangular fuzzy optimization and a plurality of pre-defined priorities.

Abstract: Systems and methods for assessing, tracking and improving security maturity of an organization are provided. Described is a system for assessing security maturity of an organization. The system receives a list of data sources located across multiple jurisdictions for the organization, collects data sources/data using custom rules from a plurality of data sources of the list of data sources, determine criticality score for each of the plurality of data sources, calculates data source coverage and asset collection coverage, determines use case coverage, and determines security maturity score using a maturity score model. The maturity score model is a logistic equation which is a function of the data source coverage, the asset collection coverage, the criticality score associated with each of the plurality of data sources, the use case coverage, asset coverage by each the plurality of data sources.

Abstract: Systems, methods, and computer-readable storage media for generating an adaptive competency assessment model. A system configured as described herein provides, at a first time: a tiered set of questions to a subject matter expert and, based on how the subject matter expert answers the questions, and identifies a best known path for answering the questions. At a second time, the system provides the tiered set of questions to a candidate, captures how the candidate answers the questions, compares that information to the best known path, and generates, based on that comparison, a live score as the candidate answers the questions.

Abstract: A method, computer program product, and system includes a processor(s) configuring a sensor(s) (first sensor(s)), to capture data related to an emotional state of an individual and a sensor(s) (second sensor(s)), to capture data related to an environment of the individual. The processor(s) obtains, over a pre-defined period of time, data from the sensors and utilizes data from the second sensor(s) to identify activities in which the individual participated. The processor(s) obtains, from a scheduling resource, a schedule of activities scheduled for the individual. The processor(s) generates a record for each activity. The processor(s) determines, based on data from the first sensor(s) and the record for each activity, emotional states of the individual throughout each activity of the identified activities. The processor(s) generates a rule representing relationships between events during each activity and emotional state of the participant and recommends a schedule of future activities.

Abstract: A lead time calculation system includes a configured lead time generator and a measured lead time generator. The configured lead time generator calculates a lead time estimate to move products between a first node in a supply chain and a second node in the supply chain based on expected travel times, expected warehouse times, expected sourcing times, delivery schedules, unloading schedules, and product-node relationship data. A measured lead time generator receives electronic data interchange (EDI) events, receipts, and purchase order data and calculates an actual lead time for the first node and second node. The actual lead time can be compared with the configured lead time to evaluate performance of different aspects of the supply chain. Lead time estimates can be adjusted based on actual lead times that are measured by the measured lead time generator.

Abstract: Systems, computer-implemented methods, and computer-readable storage media that execute, are configured to execute, or store instructions that enable modification of optical manufacturing data, including a computer-implemented method for modifying optical manufacturing data. The method includes receiving the optical manufacturing data associated with an optical job and modifying the optical manufacturing data using manufacturing logic to generate modified optical manufacturing data. The modified optical manufacturing data is then used in the manufacturing process of the optical job.

Abstract: Computer implemented sales prediction system collects data relating to events of visitors showing an interest in a client company from plural data sources, an organization module which organizes collected data into different event types and separates collected event counts in each event type between non-recent and recent events occurring within a predetermined time period, a first processing module which periodically calculates weighting for each event type based on recent and non-recent events for the event type compared to totals for other selected event types, a second processing module which periodically calculates sales prediction scores for each visitor and companies with which visitors are associated based on accumulated event data and weighting, and a reporting and data extract module which is configured to detect variation in sales prediction scores over time to identify spikes which can predict upcoming sales and to provide predicted sales information and leads to the client company.

Abstract: Optimizing market assets using tensor optimization across cloud and edge resources by generating a tensor space associated with market assets, calculating matrices associated with the tensor space according to market asset correlations, determining market asset allocation opportunities, and suggesting market asset allocations according to a user risk assessment.

Abstract: Embodiments of the present disclosure relate generally to the generation and presentation of merchant insights to a brick-and-mortar merchant. More specifically, one or more embodiments of the present disclosure relate to detecting and identifying users visiting a merchant's retail location, determining product preferences of the identified users that relate to the merchant, and providing merchant insights to the merchant based on the determined product preferences.

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: A method and system for use in performing a vehicle usage assessment for a first driver of a vehicle participating in a car sharing service based on a vehicle condition assessment of the vehicle by a second, subsequent driver. The method carried out by the system includes the steps of providing a user assessment interface that enables the second driver to provide one or more quantified assessments for one or more corresponding characteristics of the vehicle; receiving the one or more quantified assessments; associating the one or more quantified assessments with an immediately preceding first driver of the vehicle; and generating an overall assessment for the first driver using at least one of the one or more quantified assessments. The overall assessment may be used to rank the first driver relative to other drivers participating in the car sharing service.

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.

Abstract: Concepts and technologies disclosed herein are directed to a flexible behavioral chain (“FBC”) framework for permission-based enterprise-focused blockchain applications. According to one aspect disclosed herein, a chain framework module (“CFM”) executed by a FBC system can receive a new block request to add a new block to an FBC. The new block request can be created by a trigger management module (“TMM”) executed by the FBC system in response to a trigger, such as a customer touchpoint, a customer engagement, a subscribed event, and/or a virtual event. In response to the new block request, the CFM can generate the new block. A customer value score derivation module (“CVSDM”) executed by the FBC system can determine a customer value score (“CVS”) for a customer. The CFM can incorporate the CVS into the new block. The CFM can connect the new block to the FBC.

Abstract: A service request is received at an intelligence service server from a user, where the service request includes a number of required inputs associated with the user. The number of required inputs are executed by the intelligence service server to generate an inference, an outcome probability distribution and a price quote, where the price quote corresponds to the outcome probability distribution. The outcome probability distribution and the price quote are returned by the intelligence service server to the user. It is determined by the intelligence service server that whether the user accepts the price quote based on a response from the user. If so, the inference is returned by the intelligence service server to the user. Otherwise, the response from the user is logged in a database associated with the intelligence service server by the intelligence service server.

Abstract: A system and method for student attendance management are disclosed.

Abstract: Various failure rates are supposed for each facility, and an optimal maintenance plan is made. A maintenance planning apparatus includes a failure rate model generation unit that generates a failure rate model on the basis of failure probability information which is set for an O&M asset by a user, a simulation execution unit that executes simulation regarding a failure which possibly occurs in the O&M asset in a plurality of different conditions on the basis of the generated failure rate model, a KPI computation unit that computes a KPI corresponding to each of the plurality of different conditions on the basis of results of the simulation, and an analysis unit that analyzes the plurality of different conditions and KPIs respectively corresponding to the plurality of different conditions, so as to determine an optimal condition corresponding to the best KPI.

Abstract: Execution systems using unstructured data include a memory, one or more input/output devices, and one or more processors coupled to the memory and the input/output devices. The one or more processors are configured to receive a working document comprising data, receive a workflow described according to a workflow structure, the workflow structure describing sub-processes of the workflow, routings between the sub-processes, actions that make up the sub-processes, and mappings between the data in the working document and the actions, identify a first sub-process to be performed, perform each of one or more first actions associated with the first sub-process, update the data in the working document based on one or more first mappings associated with the one or more first actions, and select a second sub-process to be performed based on the data in the working document and one or more first routings associated with the first sub-process.

Abstract: Systems and methods for determining a marketing strategy for an online to offline service are provided. A method may include: obtaining a plurality of historical vectors, determining a first value function according to a first reinforcement learning algorithm based on the plurality of historical vectors, determining a first value under a state of a driver to provide the online to offline service based on the first value function and the plurality of historical vectors, and obtaining a first regression model by training an initial model, wherein the plurality of historical vectors are inputs of the initial model, and the first value under the state is a label of the initial model.

Abstract: The systems and methods provided herein are directed to a system for identifying and reporting partial refueling events. Fueling stations can evaluate when fuel prices may be negatively impacting revenue due to consumers choosing to not to fill their tanks. Stations may then make adjustments to fuel prices that are responsive to customer behavior.