Abstract: A system includes a server associated with a resource utilization, a database storing historical data including resource utilization values over a first time period, and a processor. The processor identifies, from the historical data, a maximum resource utilization value and determines a duration of time for which the resource utilization exceeds a percentage of the maximum. The processor predicts, based on the historical data, a maximum predicted resource utilization value over a second time period, later than the first. The processor also determines, based on the historical data, an upper bound of a resource utilization confidence interval. The processor generates, based on the maximum value over the first time period, the duration of time, the maximum predicted value over the second time period, and the upper bound, a recommendation to consolidate the server with a second server and/or to release computational resources. The processor transmits the recommendation to an administrator.

Abstract: A data manipulation detection device that includes an alert engine configured to receive data from a data source, apply a set of rules for a threat model to the data using a first machine learning model, and to obtain an alert vector in response to applying the set of rules to the data. The device further includes an alert feedback engine configured to receive alert feedback that includes text comments for the alert vector. The device further includes a natural language processing (NLP) training engine configured to identify the text comments for the alert status and identify keywords within the text comments associated with a rule parameter value for a rule. The NLP training engine is further configured to determine a new rule parameter value based on the identified keywords and modify a rule parameter value for the rule based on the new rule parameter value.

Abstract: Systems, methods and apparatus are provided for AI-based generation of data warehouse quality protocols. An attribute classifier may quantify relationships between source data and target data from an enterprise data warehouse. A data quality engine may apply these relationships to identify specific data quality concerns and generate customized data quality metrics.

Abstract: Methods, systems, and apparatuses for blockchain-based property management are described herein. According to a first embodiment of the disclosure, a plurality of computing systems may be established at a plurality of points along a supply chain associated with the manufacture, shipment, and sale of a physical property item. At each of the plurality of points, the plurality of computing systems may identify data corresponding to the physical property item, which may be stored on a blockchain associated with a decentralized peer-to-peer (e.g., P2P) network. According to a second embodiment of the disclosure, content creator computing devices may transmit digital property item upload requests to a digital property management computing device, which may generate smart contracts corresponding to the requests. Through execution of the smart contracts, access may be granted to digital property items and fees may be provided to the content creator computing devices.

Abstract: Embodiments of the invention are directed to intelligently and dynamically controlling both changes made within EUC applications and the control rules associated with such changes. A similarity index is calculated/assigned for each data entry field (i.e., cell/intersection) and the controls implemented when a changes to data in the entry fields occurs is based on the similarity index. In other embodiments, a change to data entry fields dynamically prompts analysis of the change based on historical approval and/or denial patterns specific to the EUC application, the data entry field(s) and/or the user of the application. In response to the analysis the control rules may be dynamically updated, and applied to the current change. In other embodiments, inputs, such as reviewer's comments, are the basis for determining a need to update existing controls or add new controls associated with data entry field(s) and the conditions associated therewith are determined and applied.

Abstract: A system is provided for real time recovery of resource transfers over a distributed server network. In particular, the system may comprise one or more computing systems within a distributed server network, where each computing system may be a node which hosts a copy of a distributed electronic data register. Upon receiving a resource transfer request, the system may, via a system sequence monitor, monitor the various nodes for status updates on the resource transfer. Upon detecting that a node has failed to execute one or more steps in the resource transfer process, a resource transfer restorer may perform a restore process based on the information stored within the distributed data register. The system sequence monitor may further monitor the restore process to ensure the successful completion thereof. In this way, the system may provide instantaneous recovery of failed resource transfers.

Abstract: Methods and systems for using block chain technology to verify transaction data are described herein. A computing platform may receive data about events related to transactions, personal or corporate information, supply chains, and other relevant information about a person or corporate entity. The event information may be received, aggregated, and processed to determine metadata about the person or corporate entity. The metadata may indicate, for example, a trustworthiness of the person or corporate entity for various purposes. Such event information and/or metadata may be stored as transactions in a block chain that may be accessible by counterparties to a potential transaction involving the person or corporate entity. The automated event processing computing platform may further use automated techniques to implement smart transactions between the person/entity and counterparty based on the trust metadata.

Abstract: Aspects of the disclosure relate to quantum computing based real-time verification system. A computing platform may receive one or more features of a transaction by a customer, and retrieve, from a plurality of data sources, one or more attributes that may impact the transaction. Then, the computing platform may identify a plurality of business rules applicable to the transaction. Then, the computing platform may transform, based on the one or more features of the transaction, the one or more attributes that may impact the transaction, and the plurality of business rules applicable to the transaction, the transaction to sequence of quantum bits. Subsequently, the computing platform may determine a risk score for the sequence of quantum bits. Then, the computing platform may determine whether the transaction is valid, and provide an alert to the transaction processing platform.

Abstract: A system is provided for real time recovery of resource transfers over a distributed server network. In particular, the system may comprise one or more computing systems within a distributed server network, where each computing system may be a node which hosts a copy of a distributed electronic data register. Upon receiving a resource transfer request, the system may, via a system sequence monitor, monitor the various nodes for status updates on the resource transfer. Upon detecting that a node has failed to execute one or more steps in the resource transfer process, a resource transfer restorer may perform a restore process based on the information stored within the distributed data register. The system sequence monitor may further monitor the restore process to ensure the successful completion thereof. In this way, the system may provide instantaneous recovery of failed resource transfers.

Abstract: Aspects of the disclosure relate to a blockchain-based approach for managing repair of physical property items. Any full node computing device in a network, including a physical property management computing platform, may register a physical property item onto a blockchain associated with the physical property item. The computing platform may further register one or more users onto this blockchain so that the registered users can use the physical property item. As one or more users use the physical property item, the computing platform may receive real-time usage information and may notify the owner of the physical property item when the item needs to be repaired or replaced. The computing platform may then execute an event based on a response to this notification.

Abstract: Methods and systems for using block chain technology to verify transaction data are described herein. A computing platform may receive data about events related to transactions, personal or corporate information, supply chains, and other relevant information about a person or corporate entity. The event information may be received, aggregated, and processed to determine metadata about the person or corporate entity. The metadata may indicate, for example, a trustworthiness of the person or corporate entity for various purposes. Such event information and/or metadata may be stored as transactions in a block chain that may be accessible by counterparties to a potential transaction involving the person or corporate entity. The automated event processing computing platform may further use automated techniques to implement smart transactions between the person/entity and counterparty based on the trust metadata.

Abstract: Aspects of the disclosure relate to blockchain based management of auto regressive database relationships for a software application. A computing platform may retrieve, by a computing device and from one or more transaction processing systems, a data field associated with a transaction performed by a customer. A relationship between the data field and the customer may be identified based on a repository of historical transaction data. One or more ledgers of a distributed ledger system to be potentially updated may be identified. Then, the computing platform may determine whether the one or more identified ledgers are to be updated. Based upon a determination that the one or more identified ledgers are to be updated, the computing platform may provide, to the one or more identified ledgers, the data field. Then, the computing platform may cause the one or more identified ledgers to be updated.

Abstract: Embodiments of the present invention provide a system for allocating resources to one or more users within an environment. The system is configured for registering one or more users of an entity to a closed distributed register, registering one or more resources of the entity to the closed distributed register, establishing a communication link with one or more entity systems, wherein the one or more entity systems are located in the environment of the entity, identifying one or more patterns associated with the one or more users based on the communication link with the one or more entity systems, and allocating the one or more resources to the one or more users based on the one or more patterns.

Abstract: Methods and systems for using block chain technology to verify transaction data are described herein. A computing platform may receive data about events related to transactions, personal or corporate information, supply chains, and other relevant information about a person or corporate entity. The event information may be received, aggregated, and processed to determine metadata about the person or corporate entity. The metadata may indicate, for example, a trustworthiness of the person or corporate entity for various purposes. Such event information and/or metadata may be stored as transactions in a block chain that may be accessible by counterparties to a potential transaction involving the person or corporate entity. The automated event processing computing platform may further use automated techniques to implement smart transactions between the person/entity and counterparty based on the trust metadata.

Abstract: Methods and systems for using block chain technology to verify transaction data are described herein. A computing platform may receive data about events related to transactions, personal or corporate information, supply chains, and other relevant information about a person or corporate entity. The event information may be received, aggregated, and processed to determine metadata about the person or corporate entity. The metadata may indicate, for example, a trustworthiness of the person or corporate entity for various purposes. Such event information and/or metadata may be stored as transactions in a block chain that may be accessible by counterparties to a potential transaction involving the person or corporate entity. The automated event processing computing platform may further use automated techniques to implement smart transactions between the person/entity and counterparty based on the trust metadata.

Abstract: Systems, computer program products, and methods are described herein for automated data lineage and movement detection. The present invention is configured to generate a training dataset based on the source data, the target data, and the transformation logic; initiate machine learning algorithms on the training dataset to generate a first set of parameters; generate a test dataset based on at least the unseen source data and the transformed unseen source data; predict, using the first set of parameters, the transformation logic used to transform the unseen source data to transformed unseen source data; determine one or more target computing devices based on at least the transformation logic; and initiate a transmission of the transformed unseen source data to the one or more target computing devices.

Abstract: Real-time prevention of computerized event manipulation through the use of Artificial Intelligence (AI)-assisted quantum computing. As a result of the real-time processing, determine, at the time when an event is requested, if the event is being manipulated (or likely is being manipulated) and/or is part of a manipulation scheme/pattern and, if so, prevent the event from being initiated. A classical computing platform analyzes a batch of historical events using AI including one or more Machine Learning (ML) classification algorithms to result in a manipulation indicator for each of the historical events. A quantum computing platform transform/convert each of the historical events in the batch to a qubit sequence based on attributes associated with the events. The qubits in the qubit sequence are then entangled with qubits of a primary qubit sequence and maintained within a quantum environment as an entangled list.

Abstract: Methods and systems for using block chain technology to verify transaction data are described herein. A computing platform may receive data about events related to transactions, personal or corporate information, supply chains, and other relevant information about a person or corporate entity. The event information may be received, aggregated, and processed to determine metadata about the person or corporate entity. The metadata may indicate, for example, a trustworthiness of the person or corporate entity for various purposes. Such event information and/or metadata may be stored as transactions in a block chain that may be accessible by counterparties to a potential transaction involving the person or corporate entity. The automated event processing computing platform may further use automated techniques to implement smart transactions between the person/entity and counterparty based on the trust metadata.

Abstract: Methods and systems for using block chain technology to verify transaction data are described herein. A computing platform may receive data about events related to transactions, personal or corporate information, supply chains, and other relevant information about a person or corporate entity. The event information may be received, aggregated, and processed to determine metadata about the person or corporate entity. The metadata may indicate, for example, a trustworthiness of the person or corporate entity for various purposes. Such event information and/or metadata may be stored as transactions in a block chain that may be accessible by counterparties to a potential transaction involving the person or corporate entity. The automated event processing computing platform may further use automated techniques to implement smart transactions between the person/entity and counterparty based on the trust metadata.

Abstract: The invention utilizes a plurality of robotic process automation (RPA) bots to generate data regarding production issues within applications. The RPA bots may simulate user access to the environment (i.e. user load) to predict possible issues or failures of the application within the particular environment. The RPA bots may further be used to identify the needs of an application when migrating the application from one environment to another. To this end, the bots may perform a dynamic simulation sequence for accessing applications, which may provide a realistic simulation of user load for an application within a certain environment. In this way, bots may be used to monitor and understand the complete runtime sequence and behavior of applications that would enable administrators to select the appropriate stack of modules of the destination infrastructure.