Abstract: Systems, devices and methods for monitoring and managing parts, enterprise resources and other assets, and alleviating risks, in a complex collaboration environment are provided. According to some example aspects of the invention, a device with a hardware- and software-based control system creates unique asset-related information for use in a manufacturing, maintenance and/or tracking process. In other example aspects, the system records that asset-specific information (e.g., using secure network(s) and/or a blockchain), providing it for later access and modification by a number of trusted users, to track and control manufacturing-, maintenance-relevant or other factors. In other aspects, an enterprise resource planning system both outputs information to, and receives information from, the control system, reconciling changes in the data in accordance with a ranking algorithm.

Abstract: Methods and systems for attributing browsing activity from two or more different network-connected devices to a single user are disclosed. In one aspect, cookies generated by the browsing activity of different unidentified devices at a website are received. A random forest classifier trained on probabilities output from a Gaussian mixture model is applied to the unidentified cookies to determine a probability that two different cookies were generated by the same user. In some embodiments, personalized content is then delivered to the user based on the characteristics of the paired cookies.

Abstract: An agentic artificial intelligence system processes insurance claims, medical claims, financial transactions, and sales leads by receiving and preprocessing claimant, patient, transaction, and prospect data to standardize formats, remove sensitive identifiers, and enrich records. It uses machine learning, deep learning, natural language processing, and computer vision to analyze both structured and unstructured data, identify errors, inconsistencies, or fraudulent patterns, verify eligibility and compliance, and assign relevant codes based on historical and contextual information. The system calculates expected payouts or reimbursements, assesses transaction feasibility, and generates risk scores while adapting its predictions to market conditions, contractual factors, or clinical guidelines.

Abstract: Some embodiments described herein relate to computer implemented methods and/or memory (e.g., a non-transitory, processor-readable medium) storing code configured to be executed by a processor to cause the processor to perform the method. The method can include training a first transformer with a plurality of website visitation records to predict a missing website in a sequence of websites. The first transformer can include a foundation model and a first prediction head. A second transformer model can be trained with a plurality of conversion event data to predict a probability of a conversion event occurring. The second transformer model can include the foundation model and a second prediction head.

Abstract: Disclosed embodiments may include a system for executing programmable macros based on external device interactions. The system may include one or more processors, and a memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to execute programmable macros based on external device interactions. The system may receive a device identification of an external device. The system may receive a rule associated with the external device, wherein the rule comprises a triggering event and transfer instructions. The system may receive, from the external device, device data. Responsive to determining, from the device data, that the triggering event has occurred, the system may execute the transfer instructions.

Abstract: Systems and methods are described for generating transactions based upon rideshare data and updating a distributed ledger. The method may include (1) identifying one or more rideshare companies for which a user offers driving services during a time period; (2) for each of the one or more rideshare companies, identifying a phase of a rideshare trip in which the user is providing driving services for the identified one or more rideshare companies during the time period; (3) determining rideshare data; (4) generating a transaction including a representation of the rideshare data; and/or (5) transmitting the transaction to at least one other participant of the plurality of participants maintaining the distributed ledger. The rideshare data from the distributed ledger for the user may be used to calculate a level of risk when the user is providing ride services.

Abstract: The disclosure includes systems and methods for receiving a location; determine a hail size associated with the location using a first hail model; determine a hail frequency associated with the location using a first hail frequency model; obtain first feature data associated with the location, the first feature data including the hail size associated with the location, the hail frequency associated with the location, and data describing a first set of features at the location; determine a damage frequency associated with the location by applying a first damage frequency model to the first feature data; obtain second feature data associated with the location, the second feature data including data describing a second set of features at the location; and determine a damage severity associated with the location by applying a first damage severity model to the second feature data.

Abstract: A method includes acquiring statistic data of a storage load, inputting the statistic data, and determining read/write request tracking data of the storage load. The acquired statistic data of a storage load may be generated by an application in a predetermined time period. The determined read/write request tracking data of the storage load may be during the predetermined time period through the pre-trained machine learning model. The statistic data may include global statistic information corresponding to read/write requests generated by the application in a predetermined time period. The read/write request tracking data may be information of each read/write request generated by the application in a predetermined time period.

Abstract: Embodiments of a system and method are described for generating a finance attribute. In one embodiment, the systems and methods retrieve raw tradeline data from a plurality of credit bureaus, retrieve industry code data related to each of the plurality of credit bureaus, determine one or more tradeline leveling characteristics that meet at least one pre-determined threshold, and generate a finance attribute using the selected leveling characteristics.

Abstract: A system, method, device, and platform for tokenizing an event. An event marked as important is received. Information associated with the event is automatically documented. The event and the information associated with the event are tokenized. One or more tokens associated with the event are communicated.

Abstract: The present disclosure relates to blockchain and social media, and more specifically, to a unified engagement platform that incentivizes blockchain use and provides avenues for companies to foster brand loyalty amongst consumers. In accordance with aspects and embodiments, a method of facilitating blockchain use is provided. The method comprises providing a social media platform in communication with a blockchain and providing each user of the platform with a blockchain account. Social media influencers and creators, brands, and retailer users of the platform, referred to as partners, are provisioned with a set of digital collectibles having value and are provided with tools to create additional digital collectibles. A partner's digital collectibles are distributed to non-partner users on the platform that support the partner, users referred to as supporters.