Abstract: An electronic system is typically configured for crawling into at least one code repository comprising one or more codes that are associated with one or more applications that are in development phase, wherein the one or more applications are associated with disparate frameworks, identifying, via a machine learning model, one or more dependencies associated with the one or more codes based on crawling into the at least one code repository, determining that the one or more dependencies are present in an internal library repository, generate dependency libraries by downloading the one or more dependencies from the internal library repository, and providing the one or more dependencies downloaded from the internal library repository for building the one or more codes for deployment, wherein the one or more dependencies are utilized for building dependency libraries associated with codes that require same dependencies as that of the one or more codes.

Abstract: Systems and methods for electronic arbitration of a smart contract in response to environmental sensor data are provided. An environmental sensor signal may include an electronic sensor identifier. A signal context matcher may process the sensor signal at the IOT edge and route sensor signal data to a remote electronic arbitrator. The arbitrator may identify a smart contract on a distributed ledger based on the sensor signal data. The arbitrator may identify a smart contract modification based on the sensor signal data. The arbitrator may instruct a smart contract reviser to validate and execute modified smart contract code corresponding to the smart contract modification using DLT protocols.

Abstract: A system for intelligently provisioning a distributed ledger technology (DLT) network may be configured to receive requests from authorized users to provision a DLT network based on a plurality of preset parameters. The system may further be configured to generate a script, using machine learning or other artificial intelligence algorithms, for provisioning the DLT network according to the preset parameters. One or more nodes in the DLT network can then execute the intelligently generated script to provision the DLT network as requested.

Abstract: An electronic system is typically configured for crawling, via a machine learning model, into one or more API servers, wherein the one or more API servers comprise one or more versions of one or more APIs, capturing, via the machine learning model, information associated with the one or more versions of the one or more APIs, creating context objects associated with each of the one or more versions of the one or more APIs, receiving a real-time API request from a client system, processing the real-time API request received from the client system, and routing the real-time API request to an API version of the one or more versions.

Abstract: The collection of data from multiple different Distributed Ledger Technology (DLT) networks is managed for a large-scale work flow having multiple interdependent data collection processes. Embodiments of the invention are configured to coordinate and orchestrate the collection of data from any DLT network and communicate the data to any legacy system requiring such. As a result, the invention can leverage the areas of expertise afforded by each of the different DLT networks used to conduct interdependent data collection processes of the work flow. In addition, through use data collection extensions the present invention provides the capability to collect data from any known or future known DLT network and communicate the data to any requesting legacy system.

Abstract: A certificate identification system comprises multiple source devices configured to generate an artifact which comprises features indicating user data and an action, a certificate database configured to store certificates comprising user identity information corresponds to its signatory, and an identity manager in signal communication with the source devices and the certificate database.

Abstract: A system for intelligently provisioning a distributed ledger technology (DLT) network may be configured to receive requests from authorized users to provision a DLT network based on a plurality of preset parameters. The system may further be configured to generate a script, using machine learning or other artificial intelligence algorithms, for provisioning the DLT network according to the preset parameters. One or more nodes in the DLT network can then execute the intelligently generated script to provision the DLT network as requested.

Abstract: A system for intelligently provisioning a distributed ledger technology (DLT) network may be configured to receive requests from authorized users to provision a DLT network based on a plurality of preset parameters. The system may further be configured to generate one or more script, using machine learning or other artificial intelligence algorithms, for provisioning the DLT network according to the preset parameters. One or more nodes in the DLT network can then execute the intelligently generated script to provision the DLT network as requested.

Abstract: A system, computer program product, and computer-implemented method for mining software code and assimilating legacy system functionalities are provided. Embodiments comprise a system configured for installing a mining tool on a first system having a first format, the mining tool being configured to continually capture code stored on the first system; identifying a function on the first system, wherein the function is configurable to be independently executable; pulling the function from the first system; converting the function from the first format to a second format; and deploying the function in the second format onto a second system, wherein the function is stored on the second system in the second format and configured to be called by a program.

Abstract: The collection of data from multiple different Distributed Ledger Technology (DLT) networks is managed for a large-scale work flow having multiple interdependent data collection processes. Embodiments of the invention are configured to coordinate and orchestrate the collection of data from any DLT network and communicate the data to any legacy system requiring such. As a result, the invention can leverage the areas of expertise afforded by each of the different DLT networks used to conduct interdependent data collection processes of the work flow. In addition, through use data collection extensions the present invention provides the capability to collect data from any known or future known DLT network and communicate the data to any requesting legacy system.

Abstract: The present disclosure is directed to a novel system that incorporates extended recognition capabilities to a node in a distributed ledger network. In particular, a node within a distributed ledger network may be configured to simultaneously perform DLT functions while also performing information server and data management functions with respect to outside networked systems. By operating a multi-function DLT node with extended recognition mechanism in this way, an entity may efficiently distribute computing workloads when performing DLT and non-DLT functions.

Abstract: The present disclosure is directed to a novel system that incorporates extended recognition capabilities to a node in a distributed ledger network. In particular, a node within a distributed ledger network may be configured to simultaneously perform DLT functions while also performing information server and data management functions with respect to outside networked systems. By operating a multi-function DLT node with extended recognition mechanism in this way, an entity may efficiently distribute computing workloads when performing DLT and non-DLT functions.