Abstract: The method of building a patent valuation model includes acquiring patent information, processing the patent information and separately performing a plurality of multiple regression analyses in which a plurality of key valuation elements preset for a valuation index are dependent variables, calculating a representative value of a plurality of regression coefficients for each independent variable of a plurality of multiple regression models calculated through the plurality of multiple regression analyses, and generating a valuation model for the valuation index by building a valuation model in which the calculated representative values are coefficients for the respective independent variables.

Abstract: An artificial intelligence system for generating land responses from biological extractions. The artificial intelligence system includes a computing device, configured to retrieve, a biological extraction pertaining to a user, wherein the biological extraction contains at least an element of physiological data. The computing device is configured to locate, a land descriptor wherein the land descriptor identifies a property. The computing device is configured to generate, a land machine-learning model, wherein the land machine-learning model utilizes the biological extraction as an input and outputs property elements. The computing device is configured to determine the suitability of the property utilizing the output property elements.

Abstract: A method for agricultural land parcel valuation includes: accessing data for parcels within a prescribed region, the data comprising management practices, historical weather conditions, locations and topography, remote sense images, soil types, and crop types; assessing and ranking the management practices for each of the parcels; generating simulation inputs for the each of the parcels, where the simulation inputs comprise highest ranked management practices, the historical weather conditions, the locations and topography, the soil types, and the crop types; simulating crop growth for the each of the parcels over a prescribed number of previous years, where the simulating employs the simulation inputs provided by the generating; and employing selected outputs from the simulating to calculate agricultural metrics and a valuation corresponding to the each of the parcels, where the agricultural metrics include a stability metric.

Abstract: Systems and methods to facilitate interaction with a collaboration environment based on assignment of project-level roles are described herein. Exemplary implementations may: manage environment state information maintaining a collaboration environment; obtain role information specifying roles of the users within units of work and projects; update the environment state information based on the role information; effectuate presentation of the collaboration environment based on the environment state information so that access, by the users, to the individual units of work and the individual projects reflects the roles of the users within the units of work and the projects; and/or perform other operations.

Abstract: A generating unit 30 which is included in a cooperative planning system 10: generates a plurality of partial procedures by dividing the generated change procedure for each procedure which relates to an element of each of the system configurations; with respect to a first partial procedure which includes a first step after which, when execution is completed, execution is commenced of a second step which is included in a second partial procedure, adds, after the first step, a step in which information is inputted to the planning system which executes the second partial procedure, said information indicating the completion of the procedure; and with respect to the second partial procedure, adds, prior to the second step, a step in which information is inputted from the planning system which executes the first partial procedure, said information indicating the completion of the procedure.

Abstract: One example of a computer-implemented method comprises receiving content data for a first physical note removably attached to a first display area of a first collaborative board located in a first location. The content data includes information displayed on the first physical note. The method further comprises determining a position of the first physical note on the first collaborative board; and outputting instructions to a second collaborative board located in a second location to generate a first virtual note in a second display area of the second collaborative board such that information displayed on the first virtual note corresponds to the information displayed on the first physical note and a position of the first virtual note on the second display area corresponds to the position of the first physical note on the first collaborative board.

Abstract: Systems, methods, devices, and computer readable media related to fraud detection. Fraud detection is achieved using a flexible scripting language and syntax that simplifies the generation of fraud detection rules. The rules are structured as conditional IF-THEN statements that include data objects referred to as Anchors and Add-Ons. The Anchors and Add-Ons used to generate the rules also correspond to a distinct data path for the retrieval data from any of a variety of data sources. The retrieval of data from the various data sources is optimized based on data dependencies within the rules. By knowing the data dependencies of each rule and utilizing parallelization of rule execution, the retrievals of data from the data sources is achieved efficiently so the rules can be executed quickly.

Abstract: Systems for assigning, monitoring, managing and completing tasks and other activities through a customer-relationship management or other data repository are disclosed in the present application. A variety of novel user interfaces and graphical overlays are also disclosed and within the scope of the present disclosure. Methods for assigning, monitoring, managing and completing tasks are also disclosed.

Abstract: Systems and methods for generating status requests for units of work are disclosed. Some implementations may: manage environment state information maintaining a collaboration environment; identify one or more work unit records having potentially incorrect status values for a status parameter; generate status requests prompting user input to update the potentially incorrect status values for the one or more work unit records identified; and effectuate presentation of the status requests, such that the first status request is presented via a client computing platform associated with the first user.

Abstract: Disclosed herein are systems and methods capable of establishing a communication session between a user and an analyst. The contents of the communication session are analyzed to make recommendations of goods and services to the user. Otherwise, the communication session may be redirected from one channel, for example, chatting to another channel, for example, voice call, to another analyst. The user's information and the communication session details are retained, and provided to another analyst before the user is redirected. Such systems, apparatuses, methods, and computer program products use real-time machine learning scoring algorithm to determine which analyst the users should be transferred to, and thereby saving a lot of time for both the analysts and the users, and significantly reduce misroutes by eliminating human errors.

Abstract: The invention relates to a system for providing location information to a system residing on a network with respect to a service provider providing service for a property comprising of an apartment or condo association and the location information is provided to the network with respect to a geofence system located within property.

Abstract: Methods and systems are provided for providing an insights page that is displayed at a user interface of a computing device in response to a call. The caller who is making a call and/or the callee that is receiving the call can be identified along with one or more relevant organizations. A customer relationship management (CRM) application can then be launched at the computing device, and relevant records that are relevant to the call can be automatically determined at a server system. The relevant records can include records that are determined to be relevant to the call from any organization that a user has access privileges to. The insights page displayed at the user interface of the computing device includes user interface elements for accessing the relevant records. Each user interface element is selectable to open a relevant record that has been determined to be relevant to the call.

Abstract: A method of preparing a complex microscopic colloidal mixture formulation and a method of authenticating a product containing a code attached thereto which code is a mixture of different hard bodied colloidal particles and polymeric particles having different properties, which are present in set ratios. The code is extracted from the product and is checked with data that was originally applied to the product to determine its authenticity.

Abstract: Embodiments of the disclosure provide a method and system for processing a customer inquiry. The method includes obtaining multiple conversations. Each of the conversations includes multiple conversation entries associated with the conversation. The method also includes, for each of the conversations, generating a directed path from a start to an end of the historical conversation. The directed path includes multiple edges and vertices. Each of the edges represents a conversation entry or an API call associated with the conversation, and each of the vertices represents a state of the conversation. The method further includes generating a directed graph based on the generated directed paths and determining an optimized directed path based on the directed graph. The method also includes receiving a customer inquiry from a user device associated with a customer, and generating a response based on the optimized directed path.

Abstract: A method for registering an Internet of Things (IoT) device to an incident IoT ledger system is provided. A computer aided dispatch (CAD) device sends a first ledger request including an incident record to a distributed incident ledger operated by validation nodes. The CAD device receives a first ledger response indicating that the incident record was accepted and added into the incident ledger after being validated by the nodes. The CAD device then sends a second ledger request to an IoT distributed ledger operated by second validation nodes. The request includes a query to the IoT distributed ledger to find registered IoT devices for affiliating with the incident. The CAD device receives a second ledger response including information identifying registered IoT devices from the IoT distributed ledger. The CAD device then sends an affiliation invitation to an IoT device determined from the registered IoT devices identified in the second ledger response.

Abstract: There is provided systems and method for intelligent channel steering based on dynamically determined intents during channel interactions. A user may contact an organization, such as an online service or payment provider through a first communication channel in order to seek assistance or resolution with some help query or request. The organization's system may dynamically prioritize the user's intent when submitting the help request and based on the user's actions during the communications. The system may further present other communication channels that may assist the user in resolving their help request. The user may be steered to one or more of those channels. When navigating between channels a data object may be generated in the first channel that tracks the user's intent, actions, and steps taken to resolution, which may be transferred between channels and translated to a code or scripting language handled by the other channel.

Abstract: A method, computer system, and computer program product that aggregates sample data regarding a plurality of factors associated with employment and geographic location; performs iterative analysis on the sample data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted values of real estate demand for a selected set of predefined geographic regions; converts the predicted values of real estate demand in the database into percentages of observed values of real estate demand for geographic regions within the selected set over a specified time period to create indices of real estate demand; and rank orders the geographic regions within the selected set according to their indices of real estate demand.

Abstract: Described are systems, media, and methods for automated real estate transaction workflow management application comprising: performing an initial analysis of a user's stored email, wherein the initial analysis comprises identifying at least one existing real estate transaction and identifying any stored email associated with the at least one existing real estate transaction; performing an incremental analysis of the user's new email, wherein the incremental analysis comprises identifying at least one new real estate transaction and identifying any new email associated with the at least one new real estate transaction; extracting real estate transaction-related events, documents, contacts, and data from the email identified as associated with an existing or new real estate transaction; and generating a timeline for each existing and new real estate transaction, the timeline comprising the transaction-related events arranged chronologically and providing access to the transaction-related documents, contacts, an