Abstract: Disclosed herein is a method, system, or non-transitory computer readable medium for evaluating a query on a columnar dataset comprising one or more dictionaries associated with columns in the dataset. The method includes receiving a request to perform a query comprising at least an operator for a columnar dataset on cloud storage. At least one column in the dataset is based on a dictionary, and the dictionary maps one or more values for a column to one or more respective identifiers. The method evaluates the operator on one or more values of the dictionary to generate an updated dictionary comprising updated values. The method may decode the updated dictionary into an updated column comprising updated data values.

Abstract: Various embodiments are directed to processing and executing digital asset transfers between two users. An example method includes receiving a data object defining a digital asset transfer, and the data object may be a query from the first user to initiate an outbound transfer to a second user or an approval of a request for digital asset units from the second user. The method further includes retrieving account balance data objects associated with the digital asset accounts for the first and second users. The method further includes, responsive to determining that the digital asset transfer satisfies one or more transfer conditions, executing the digital asset transfer by executing a closed-loop debit from the first user and executing a closed-loop credit to the second user. The method further includes updating the account balance data object to reflect the resulting balances of each digital asset account.

Abstract: Disclosed herein is a method, system, or non-transitory computer readable medium for evaluating a query on a columnar dataset comprising one or more dictionaries associated with columns in the dataset. The method includes receiving a request to perform a query comprising at least a operator and a request to return information about a value of interest in a columnar dataset stored on cloud storage. At least one column in the columnar dataset is based on a dictionary. The dictionary maps one or more values for a column to one or more respective identifiers. The method determines whether to perform dictionary filtering for the query by calculating a metric based on one or more factors. Responsive to the metric being below a threshold, which may be predetermined, the method performs the dictionary filtering.

Abstract: Disclosed herein is a method, system, or non-transitory computer readable medium for evaluating a query on a columnar dataset comprising one or more dictionaries associated with columns in the dataset. The method includes receiving a request to perform a query comprising at least an operator for a columnar dataset on cloud storage. At least one column in the dataset is based on a dictionary, and the dictionary maps one or more values for a column to one or more respective identifiers. The method evaluates the operator on one or more values of the dictionary to generate an updated dictionary comprising updated values. The method may decode the updated dictionary into an updated column comprising updated data values.

Abstract: Systems and methods of reconstructing execution call flows to detect anomalies are provided. A device can establish call flows using information extracted from a log file. Each of the call flows can identify information from the log file of a call flowing through a plurality of modules. The device can identify a count of a number of occurrences of one or more keywords in information of each call flow. The device can generate a vector of numbers for each call flow based at least on the count for the one or more keywords for that call flow. The device can classify each call flow into one or more clusters that indicate whether an operation of the call flow is anomalous. The device can classify each call flow using the vector of numbers for each call flow.

Abstract: Various embodiments are directed to processing conversions of digital assets to other digital assets. An example method includes determining a source exchange rate for a source digital asset and a fiat currency, determining a target exchange rate for a target digital asset and a fiat currency, and generating an aggregated conversion rate for the source digital asset and the target digital asset using the source exchange rate and the target exchange rate. The method further includes executing a digital asset conversion, which includes causing source digital asset units to be debited from a source digital asset user account and causing target digital asset units to be credited to a target digital asset user account, and subsequently executing fiat currency transactions (e.g., settlements) with a first digital asset exchange system associated with the source digital asset and a second digital asset exchange system associated with the target digital asset.

Abstract: Disclosed herein is a method, system, or non-transitory computer readable medium for evaluating a query on a columnar dataset comprising one or more dictionaries associated with columns in the dataset. The method includes receiving a request to perform a query comprising at least a operator and a request to return information about a value of interest in a columnar dataset stored on cloud storage. At least one column in the columnar dataset is based on a dictionary. The dictionary maps one or more values for a column to one or more respective identifiers. The method determines whether to perform dictionary filtering for the query by calculating a metric based on one or more factors. Responsive to the metric being below a threshold, which may be predetermined, the method performs the dictionary filtering.

Abstract: Disclosed herein is a method, system, or non-transitory computer readable medium for evaluating a query on a columnar dataset comprising one or more dictionaries associated with columns in the dataset. The method includes receiving a request to perform a query comprising at least an operator for a columnar dataset on cloud storage. At least one column in the dataset is based on a dictionary, and the dictionary maps one or more values for a column to one or more respective identifiers. The method evaluates the operator on one or more values of the dictionary to generate an updated dictionary comprising updated values. The method may decode the updated dictionary into an updated column comprising updated data values.

Abstract: Various embodiments are directed to processing conversions of digital assets to other digital assets. An example method includes determining a source exchange rate for a source digital asset and a fiat currency, determining a target exchange rate for a target digital asset and a fiat currency, and generating an aggregated conversion rate for the source digital asset and the target digital asset using the source exchange rate and the target exchange rate. The method further includes executing a digital asset conversion, which includes causing source digital asset units to be debited from a source digital asset user account and causing target digital asset units to be credited to a target digital asset user account, and subsequently executing fiat currency transactions (e.g., settlements) with a first digital asset exchange system associated with the source digital asset and a second digital asset exchange system associated with the target digital asset.

Abstract: Various embodiments are directed to processing and executing digital asset transfers between two users. An example method includes receiving a data object defining a digital asset transfer, and the data object may be a query from the first user to initiate an outbound transfer to a second user or an approval of a request for digital asset units from the second user. The method further includes retrieving account balance data objects associated with the digital asset accounts for the first and second users. The method further includes, responsive to determining that the digital asset transfer satisfies one or more transfer conditions, executing the digital asset transfer by executing a closed-loop debit from the first user and executing a closed-loop credit to the second user. The method further includes updating the account balance data object to reflect the resulting balances of each digital asset account.

Abstract: Various embodiments of the present disclosure are generally directed to processing conversions of digital assets to fiat currency. An example method includes obtaining a conversion rate for a digital asset via an API, providing the conversion rate via a client device, receiving a digital asset conversion request and executing a digital asset conversion within a configurable time period. Executing the digital asset conversion includes causing digital asset units to be debited from the digital asset user account and causing fiat currency units to be credited to a fiat currency user account. The method further includes dynamically providing a notification of execution of the digital asset conversion via the client device, updating account balance data objects associated with the digital asset user account and the fiat currency user account, and subsequent to executing the digital asset conversion, executing a fiat currency transaction (e.g., a settlement) with a digital asset exchange system.

Abstract: Various embodiments of the present disclosure are generally directed to processing conversions of digital assets to fiat currency. An example method includes obtaining a conversion rate for a digital asset via an API, providing the conversion rate via a client device, receiving a digital asset conversion request and executing a digital asset conversion within a configurable time period. Executing the digital asset conversion includes causing digital asset units to be debited from the digital asset user account and causing fiat currency units to be credited to a fiat currency user account. The method further includes dynamically providing a notification of execution of the digital asset conversion via the client device, updating account balance data objects associated with the digital asset user account and the fiat currency user account, and subsequent to executing the digital asset conversion, executing a fiat currency transaction (e.g., a settlement) with a digital asset exchange system.

Abstract: Techniques are provided for generating enhanced image representations from original X-ray images using deep learning techniques. In one embodiment, a system is provided that includes a memory storing computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include a reception component, an analysis component, and an artificial intelligence component. The analysis component analyzes the original X-ray image using an AI-based model with respect to a set of features of interest. The AI component generates a plurality of enhanced image representations. Each enhanced image representation highlights a subset of the features of interest and suppresses remaining features of interest in the set that are external to the subset.

Abstract: Systems and methods of reconstructing execution call flows to detect anomalies is provided. A device can establish call flows using information extracted from a log file to. Each of the call flows can identify information from the log file of a call flowing through a plurality of modules. The device can identify a count of a number of occurrences of one or more keywords in information of each call flow. The device can generate a vector of numbers for each call flow based at least on the count for the one or more keywords for that call flow. The device can classify each call flow into one or more clusters that indicate whether an operation of the call flow is anomalous. The device can classify each call flow using the vector of numbers for each call flow.

Abstract: The invention relates to systems and methods for automated insight curation and alerting. The system generates insights from time-series data at scale using unsupervised machine learning algorithms. The system can further automate the suggested actions by signaling the actuators or middleware which ultimately executes the action.

Abstract: Various embodiments are directed to processing and executing digital asset conversions for real-time funding of a merchant transaction involving a user. The user may pre-select digital assets to be converted to fiat currency, and a pre-selected digital asset can be internally-custodied or externally-custodied. An example method includes retrieving a first account balance data object for a fiat currency account associated with the user. The method further includes, responsive to determining that a balance of the fiat currency user account does not satisfy a fiat currency unit threshold of a merchant transaction, retrieving a second account balance data object for a digital asset account associated with the user, determining a conversion rate between a digital asset and a fiat currency, and executing a digital asset conversion by closed-loop debiting digital asset units from the digital asset account and crediting fiat currency units to the fiat currency account.

Abstract: Various embodiments are directed to processing and executing digital asset conversions for real-time funding of a merchant transaction involving an end user. The user may pre-select digital assets to be converted to fiat currency, and a pre-selected digital asset can be internally-custodied or externally-custodied. An example method includes retrieving a first account balance data object for a fiat currency account. The method further includes, responsive to a balance of the fiat currency user account not satisfying a fiat currency unit threshold of a merchant transaction: receiving a second account balance data object for a digital asset account in response to transmitting an account query, determining a conversion rate for a digital asset, and executing a digital asset conversion by causing a debit of digital asset units from the digital asset account via transmitting a conversion execution API query and by crediting fiat currency units to the fiat currency account.

Abstract: Various embodiments are directed to providing digital asset conversion choices involving different digital assets. An example method includes receiving a first digital asset conversion request associated with an end user and indicating a source digital asset and determining a source conversion rate for the source digital asset using an application programming interface (API).

Abstract: Various embodiments are directed to processing and executing digital asset transfers between two users. An example method includes receiving a data object defining a digital asset transfer, and the data object may be a query from the first user to initiate an outbound transfer to a second user or an approval of a request for digital asset units from the second user. The method further includes receiving account data for the first and second users via application programming interface (API) communication with an external system, and responsive to determining that transfer conditions are satisfied, executing the digital asset transfer by causing the external system to debit digital asset units from the first user and to credit digital asset units to the second user via API communication with the external system. The method further includes updating the account data to reflect account balances resulting from the debit and the credit.

Abstract: Various embodiments are directed to processing and executing digital asset transfers between two users. An example method includes receiving a data object defining a digital asset transfer, and the data object may be a query from the first user to initiate an outbound transfer to a second user or an approval of a request for digital asset units from the second user. The method further includes retrieving account balance data objects associated with the digital asset accounts for the first and second users. The method further includes, responsive to determining that the digital asset transfer satisfies one or more transfer conditions, executing the digital asset transfer by executing a closed-loop debit from the first user and executing a closed-loop credit to the second user. The method further includes updating the account balance data object to reflect the resulting balances of each digital asset account.