Abstract: A system can, for respective user equipment (UE) of a group of UE for which broadband cellular communications are being facilitated via a network comprising the system, determine respective establishment causes, determine respective bearer types, and determine respective priority levels, wherein a first weight associated with the respective establishment causes is greater than a second weight associated with the respective bearer types, which is greater than a third weight associated with a priority level. The system can rank the respective UE based on the respective establishment causes, the respective bearer types, the respective priority levels, the first weight, the second weight, and the third weight to produce respective rankings of the respective user equipment. The system can, in response to determining that a serving-capacity criterion is satisfied with respect to the group of UE and based on the respective rankings, prioritize service offered to the respective UE.

Abstract: Embodiments of the present invention provide a system for generating masked virtual resource credentials for processing resource interactions. The system is configured for generating a masked virtual resource credential for a resource pool associated with a user, wherein the user is associated with an entity that is associated with the resource pool, displaying the masked virtual resource credential, via a user interface of an entity application associated with the entity, receiving a resource interaction from a third party entity system initiated by the user using the masked virtual resource credential at a third party entity location, wherein the resource interaction comprises the masked virtual resource credential, processing the resource interaction based on the masked virtual resource credential received from the third party, and completing the resource interaction by transferring of resources from the resource pool of a user to a third party resource pool associated with the third party entity.

Abstract: Systems, computer program products, and methods are described herein for generating alternative information formats using advanced computational models for data analysis and automated processing.

Abstract: Systems, computer program products, and methods are described herein for determining module interdependency using advanced computational models for data analysis and automated processing.

Abstract: Systems, computer program products, and methods are described herein for monitoring an artificial intelligence (AI) engine. The present invention is configured to receive, from a first network device, a first set of decision parameters associated with an AI engine; encrypt the first set of decision parameters, generating an encrypted dataset; store the encrypted dataset on a transaction object; receive, from a second network device, an output associated with the AI engine; update the transaction object based on the output associated with the AI engine; and transmit a notification to the first network device, wherein the notification comprises a decrypted dataset.

Abstract: Systems, computer program products, and methods are described herein for the implementation of an alternative data management system. The method includes dividing a process into one or more tasks, including a first task, to be completed. The method also includes determining a first task availability status for the first task. The first task availability status indicates whether the first task can be started by a user. The first task availability is designated as waiting in an instance in which at least one prerequisite task exists for the first task. The method includes causing the first task availability status to be changed from waiting to ready in an instance in which at least a portion of the prerequisite task(s) is completed. The method further includes assigning the first task to a first user in an instance in which the first user finishes one of the one or more tasks.

Abstract: Systems, computer program products, and methods are described herein for generating alternative information formats using advanced computational models for data analysis and automated processing.

Abstract: Systems, computer program products, and methods are described herein for advanced computation models for data analysis and automated decision-making for code change scheduling conflicts. The present disclosure is configured to receive a proposed code change associated with an electronic ecosystem from an end user; compile a set of planned code changes within a code change database; compare the proposed code change against the set of planned code changes; determine a set of affected operations by the proposed code change and the set of planned code changes within the electronic ecosystem using the advanced computation models for data analysis and automated decision-making; determine if a code change scheduling conflict exists between the proposed code change and the set of planned code; and transmit a notification to the end user upon determination of the code change scheduling conflict indicating the proposed code change conflicts with the set of planned code changes.

Abstract: Systems, computer program products, and methods are described herein for determining verification characteristics of an advanced computational model for data analysis and automated decision-making. The present disclosure is configured to receive, from a user device, a user prompt, wherein the user device is associated with a user. Further, the present disclosure is configured to receive one or more verification questions. Further still, the present disclosure is configured to interrogate, in response to receiving the one or more verification questions, an artificial intelligence model. Further still, the present disclosure is configured to receive, in response to interrogating the artificial intelligence model, one or more verification answers. Further still, the present disclosure is configured to analyze the one or more verification answers.

Abstract: Systems, computer program products, and methods are described herein for providing authentication across a distributed resource network. The method includes receiving an authentication request associated with a user. The authentication request includes one or more potential physical characteristics. The method also includes identifying a non-fungible token associated with the user. The non-fungible token associated with the user includes one or more stored physical characteristic of the user. The method further includes comparing the one or more potential physical characteristics of the authentication request with the one or more stored physical characteristics of the user. The method still further includes generating an access determination for the authentication request based on the comparison of the one or more potential physical characteristics of the authentication request with the one or more stored physical characteristics of the user.

Abstract: Systems, computer program products, and methods are described herein for authentication and monitoring of an artificial intelligence (AI) engine. The present invention is configured to receive, from a first network device, a first set of binary data associated with an AI engine; calculate, based on the first set of binary data, an engine hash value; store the engine hash value; receive, from a second network device, an approval of the first set of binary data; update an approval status of the engine hash value; receive, from a network device associated with a final user, a second set of binary data; determine that a second hash value associated with the second set of binary data matches the engine hash value; and transmit a notification to the network device associated with the final user, wherein the notification instructs the network device to allow the final user to launch the AI engine.

Abstract: Systems, computer program products, and methods are described herein for authentication and monitoring of an artificial intelligence (AI) engine. The present invention is configured to receive, from a first network device, a first set of binary data associated with an AI engine; calculate, based on the first set of binary data, an engine hash value; store the engine hash value; receive, from a second network device, an approval of the first set of binary data; update an approval status of the engine hash value; receive, from a network device associated with a final user, a second set of binary data; determine that a second hash value associated with the second set of binary data matches the engine hash value; and transmit a notification to the network device associated with the final user, wherein the notification instructs the network device to allow the final user to launch the AI engine.

Abstract: Systems, computer program products, and methods are described herein for monitoring an artificial intelligence (AI) engine. The present invention is configured to receive, from a first network device, a first set of decision parameters associated with an AI engine; encrypt the first set of decision parameters, generating an encrypted dataset; store the encrypted dataset on a transaction object; receive, from a second network device, an output associated with the AI engine; update the transaction object based on the output associated with the AI engine; and transmit a notification to the first network device, wherein the notification comprises a decrypted dataset.

Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform functions comprising: receiving a drug profile for a drug identified as part of a high-risk look-alike-sound-alike (LASA) drug pair prior to filling a prescription for the drug; generating an anomaly score based on direction components of the drug profile; and transmitting an alert to a fulfilment screen when the anomaly score exceeds a predetermined threshold. Other embodiments are disclosed.