In a vehicle information management system, a maintenance information determination unit determines whether maintenance of a vehicle was carried out at a predetermined maintenance shop based on maintenance history information acquired by a maintenance history information database, and when the maintenance information determination unit determines that the maintenance of the vehicle was carried out at the predetermined maintenance shop, an added value information providing unit provides added value information to appraisal information of the vehicle.

In some examples, a server may determine that a case, created to address an issue of a computing device, is closed and perform an analysis of steps in a process used to close the case. The analysis may determine a length of time of each step and determine that a time to close the case or complete a particular step was at least a predetermined amount faster than average. The server may use machine learning to create a survey question to determine a technique used to close the case or complete the particular step faster than average and to determine one or more incentives to provide a technician that closed the case. An answer from the technician to the survey question may include the technique used to close the case or complete the particular step faster than average. The technique may be shared with other technicians.

A computerized-method to conduct a staggered maintenance activity based on tenants' prioritization for tenants of a cloud-based Software as a Service (SaaS) platform contact-center, is provided herein. The computerized-method includes operating a Staggered-Maintenance-Activity (SMA) module. The SMA module includes: (i) selecting a plurality of tenants from the data store of one or more tenants, for a migration activity; (ii) allocating each tenant in the plurality of tenants for migration activity, to a maintenance-window of one or more maintenance-windows; (iii) prioritizing the allocated plurality of tenants to yield an ordered list of tenants, in each maintenance-window of the one or more maintenance-windows; (iv) operating a migration activity during each maintenance-window, of the one or more maintenance-windows, according to the yielded ordered list of tenants; and (v) sending a notification with details of each migration activity to a corresponding tenant administrator, to be displayed, via a display unit.

Diffusing a root identity of an entity among association and event covenants in a multi-dimensional computing security system involves generating a first generation of diffusion of identities of entities participating in mediated association and generating a second generation of diffusion of identities of the entities through recombinant mediated association of the entities and at least one other entity. The second generation of diffusion of identities facilitates securely constraining a computing system action associated with one of the entities.

Diffusing a root identity of an entity among association and event covenants in a multi-dimensional computing security system involves generating a first generation of diffusion of identities of entities participating in mediated association and generating a second generation of diffusion of identities of the entities through recombinant mediated association of the entities and at least one other entity. The second generation of diffusion of identities facilitates securely constraining a computing system action associated with one of the entities.

Disclosed herein are apparatuses and methods for managing building pathway information. A building and/or security management system can detect, based on receiving input from multiple sensor devices, a possible safety issue in a first pathway to an egress of a building, determine, based on detecting the possible safety issue and based on information regarding other pathways in the building, a second pathway to the egress of the building, and indicate at least the second pathway to another system.

In one aspect, an example methodology implementing the disclosed techniques includes receiving a corpus of historical recycling settlement data regarding a plurality of recycled assets, the historical recycling settlement data including information pertaining to a recycling of each asset of the plurality of recycled assets, wherein the information pertaining to the recycling includes a recovery value of each recycled asset. The method also includes generating a training dataset from the corpus of historical recycling settlement data, the training dataset including a plurality of training samples, each training sample of the plurality of training samples corresponding to a recycled asset, and training a recovery value prediction module using the plurality of training samples. Once trained, the recovery value prediction module can predict a recovery value of a provided asset.

A safety interlock recommendation system includes at least one process data source, an edge device, wherein the process data source is configured for providing IOS device stream data to the edge device; wherein the edge device comprises an operational technology edge application unit, OT edge application unit, and a stream analysis unit; wherein the OT edge application unit is configured for providing operation technology stream data, OT stream data; wherein the stream analysis unit comprises an online machine learning model, being configured for determining online analysis data using the provided process stream data and the provided OT stream data; wherein the OT edge application unit is configured for determining a short-term recommendation using the online analysis data.

Systems and methods are disclosed for a specialized warranty bot that can interact with users to evaluate warranty coverage. A warranty interpreter interprets warranty aspects of a given system and converts the warranty terms it into human understandable text. A situation analyzer enhances warranty interpretation by scanning logs across various components that are covered by the warranty and identifying whether the current problems are covered by the warranty. Assessment guidance processing anticipates questions from the customer and provides information regarding why a problem may not be covered by the warranty. Using a solution advisor, based on the problem details and historical analysis, the warranty bot provides insights regarding potential minimum time for resolution of a problem in order to assist the user to decide whether the system needs to be isolated or if the system can remain in production in a non-critical path.

Methods and systems are disclosed for dynamically conducting messaging campaigns, responsive to customer events. A set of parameters for a messaging campaign includes an initial schedule for providing a set of messages from a set of data objects. Responsive to a customer event associated with a first customer, an adjusted schedule is generated for providing the set of messages to the first customer. The adjusted schedule differs from the initial schedule in a timing for providing at least a first message, where the first message is scheduled to be provided at an adjusted timing proportionate to a time period between the customer event and a first milestone event. The first message is generated from a first data object and transmitted to the first customer, in accordance with the adjusted schedule.