A photograph of a component after construction is acquired. A first program implemented on a communication terminal device displays a construction photograph solicitation icon soliciting a construction photograph on a display panel, when there is a component without the construction photograph in a first database stored in a memory of a second server. When accepting a selection of the construction photograph solicitation icon, the first program launches an imaging program and acquires photograph data. Alternatively, the first program acquires photograph data selected from a folder. The first program sends the acquired photograph data to the second server through a first server. A third program of the second server registers the sent photograph data in a second database. An operator selects one photograph from photographs shown by a plurality pieces of photograph data registered in the second database, and registers the photograph data of the selected photograph in the first database.

A building management system for monitoring and controlling HVAC parameters in a building includes one or more processing circuits configured to initialize a predictive model for predicting temperature, pressure, and humidity within a target area and an adjacent area of the building, receive target area data from a target area sensor array configured to measure temperature, pressure, and humidity of the target area, receive adjacent area data from an adjacent area sensor array configured to measure temperature, pressure, and humidity of the adjacent area, execute the predictive model based on the target area data and the adjacent area data to generate a prediction of future temperature, pressure, and humidity within the target area, and control operation of HVAC equipment to maintain the temperature, pressure, and humidity of the target area within a compliance standard.

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.

Systems and methods for collaborative filtering-based audit test scoping are disclosed. In one embodiment, a method for collaborative filtering-based audit test scoping may include: (1) receiving, by a proactive audit computer program, an identification of a Process Audit Universe Items (PAUI) of interest; (2) retrieving, by the proactive audit computer program, historical audit data for a plurality of PAUIs; (3) implicitly grouping, by the proactive audit computer program, the plurality of PAUIs into a plurality of implicit PAUI groupings; (4) applying, by the proactive audit computer program, natural language processing to the PAUI of interest to identify a similar implicit PAUI grouping; (5) ranking, by the proactive audit computer program, risks and controls for the similar implicit PAUI groupings; and (6) outputting, by the proactive audit computer program, the ranked risks and controls for the similar implicit PAUI groupings.

Systems and methods for determining monitoring compliance are provided. Each element in a plurality of data elements is obtained from a medical device connected to a corresponding subject in a first plurality of subjects and interrogated to determine a condition of the device or subject. A medical code and timestamp for evaluation of the device or subject is recorded in the subject's medical record. A determination is made for each epoch in a plurality of epochs, for each subject in a second plurality of subjects, whether the medical code is recorded in the subject's medical record for the epoch by evaluating the time stamps and codes in the medical records. A compliance counter is advanced when a medical record includes the code for a respective epoch and otherwise a noncompliance counter is advanced. Responsive to a compliance request, compliance information or suggested treatment options are provided based on the counters.

A system and method for building or optimizing a supply chain is presently provided. The method comprises registering and inputting provided services or capabilities by at least one supply chain service provider, registering and inputting desired services or desired capabilities by a supplier of goods, and selecting, or presenting to the supplier of goods for the selecting with the system, at least one of the registered supply chain service providers, by the supplier of goods or the system. Each of the selected supply chain service providers is not associated with the supplier of goods.

Apparatuses, methods, and computer program products are provided for improved model compliance. An example method includes receiving a product model that is generated from user data associated with a plurality of users and receiving a first regulation offending model that is non-compliant with respect to a first regulatory factor. The method also includes analyzing the product model with the first regulation offending model and generating a first regulation compliance score for the product model with respect to the first regulatory factor. The method further includes determining whether the first regulation compliance score satisfies a first regulatory factor threshold. In an instance in which the first regulation compliance score fails to satisfy the first regulatory factor threshold, the method includes generating a first violation notification or modify the product model.

Disclosed implementations use automated transcription and intent detection and an AI model to evaluate interactions between an agent and a customer within a call center environment. The evaluation flow used for manual evaluations is leveraged so that the evaluators can correct the AI evaluations when appropriate. Based on such corrections, the AI model can be retrained to accommodate specifics of the business and center—resulting in more confidence in the AI model over time.

The present disclosure relates to a vehicle quality problem management system and a data processing method thereof. The system includes a management server including a server communication device that performs wireless communication with a mobile device, and a server processing device connected to the server communication device, and the server processing device receives a voice signal containing a current quality problem from the mobile device, converts the current quality problem in the voice signal to text using speech to text (STT), and registers the current quality problem converted into the text in a database (DB).

Disclosed herein is a web service system and method comprising a determine best result engine useful for presenting intelligent objective decisions for at least one scenario for at least one collection of criteria across many different industries and market segments including but not limited to healthcare, manufacturing, and financial services. In some forms, the web service system also or alternatively provides automatic configuration of at least one of an array of items and services and results that a customer/user requires in preparation of completing a task. The web service system can utilize a plurality of knowledge data engines to capture and analyze information of a predetermined type to produce knowledge data for consideration by the determine best result engine.