Abstract: Frameworks and techniques for integration of heterogeneous machine learning (ML) models into robotic process automation (RPA) workflows are provided. This may be accomplished via a seamless drag-and-drop interface that allows deployment of ML models into an RPA workflow. Via a framework, these heterogeneous models may be provided by customers, third parties, and/or partners and integrated into the RPA workflow. The framework may provide a straightforward way to deploy machine learning models via a conductor and to manage model versioning and create/retrieve/update/delete (CRUD). The framework may facilitate integration of different models into the RPA workflow through the steps of uploading, validating, publishing, and deploying models.

Abstract: A process for monitoring network behaviour of IoT devices, which includes: monitoring a communication network traffic to identify TCP and UDP traffic flows to and from each of one or more IoT devices; processing the identified traffic flows to generate a corresponding data structure representing the identified network traffic flows of the IoT device in terms of, for each of local and internet networks, one or more identifiers of respective hosts and/or devices that had a network connection with the IoT device, source and destination ports and network protocols; and comparing the generated data structure for each IoT device to corresponding data structures representing predetermined manufacturer usage description (MUD) specifications of known types of IoT devices to generate quantitative measures of similarity of the traffic flows of the IoT device to traffic flows defined by the predetermined MUD specifications to identify the type of the IoT device

Abstract: Approaches, techniques, and mechanisms are disclosed for accessing AI services from one region to another region. An artificial intelligence (AI) service director is configured with mappings from domain names of AI cloud engines to IP addresses of edge nodes of an AI delivery edge network. The AI cloud engines are located in an AI source region. The AI delivery edge network is deployed in a non-AI-source region. An AI application, which accesses AI services using a domain name of an AI cloud engine in the AI cloud engines located in the AI source region, is redirected to an edge node in the edge nodes of the AI delivery edge network located in the non-AI-source region. The AI application is hosted in the non-AI-source region. The AI services is then provided, by way of the edge node located in the non-AI-source region, to the AI application.

Abstract: Aspects of this disclosure relate to using artificial intelligence (“AI”) to control integration of software developed by a third-party into an enterprise computing environment subject to more rigorous regulatory and security testing than typically provided by the third-party. AI software development automation tools will deploy third-party scripts to edge servers. Deploying to edge servers allows for integration of the third-party tags into testing environment pipelines. Local storage associated with third-party tags will be at a top-level domain, allowing third-party software tags to be treated as first party without the reputational and technical risks of cross-site storage.

Abstract: An approach is provided in which the approach captures a first user activity log of a first user accessing multiple systems and captures a set of second user activity logs of a set of second users accessing the multiple systems. The approach determines a set of system monitoring preferences based the first user activity log and the set of second user activity logs, and scores the multiple systems based on the set of system monitoring preferences. The approach generates a recommended system monitoring list based on the scored multiple systems, and transmits the recommended system monitoring list to the first user.

Abstract: Various embodiments of the present invention are directed to an improved group-based communication apparatus that is configured to render one or more workflow interface objects to a group-based communication apparatus in association with an operational sequence set returned by a query. The group-based communication apparatus is configured to detect a workflow trigger event associated with a workflow identifier, retrieve an operational sequence set based upon at least the workflow identifier from a group-based communication workflow repository, initiate the operational sequence set, and cause rendering of one or more workflow interface objects to the group-based communication interface. In some embodiments, the operational sequence sets are associated with a group-defined template.

Abstract: A method, computer system, and a computer program product for problem solving using selected datasets from an internet-of-things system are provided. A trigger device in an internet-of-things system may be designated. The internet-of-things system may include the trigger device and internet-of-things devices. A trigger message may be received from the trigger device. A problem may be determined based on the trigger message. Data transmissions may be requested from the internet-of-things devices. Data may be received via the data transmission. The data transmission may be ended. A problem contributor may be identified by inputting the received data and the determined problem into a machine learning model. A problem response for responding to the problem may be generated. The generating may include inputting the problem contributor to the machine learning model. The problem response may be performed.

Abstract: A method can include receiving, from communicatively coupled mesh nodes of the mesh distribution network, data indicating whether respective mesh nodes of the mesh nodes are acting as gateways and an amount of traffic being served by the mesh nodes, determining, based on the received data, a first mesh node of the mesh nodes to put into an inactive state, and providing a communication to the first mesh node that causes the first mesh node to enter the inactive state.

Abstract: Techniques for implementing an infrastructure orchestration service are described. In certain embodiments, a cloud infrastructure orchestration system (CIOS) is disclosed that generates customized flock configurations for services to be deployed to different regions supported by the CIOS. The CIOS receives generic configuration information describing a set of infrastructure assets associated with a service and identifies first portions of the generic configuration information for deploying the set of infrastructure assets associated with the service that are configurable. The CIOS receives region configuration information for configuring the generic configuration information and updates the generic configuration information based on the region configuration information. The CIOS then transmits the updated configuration information to set of regions managed by the CIOS.

Abstract: Systems and methods described herein provide a network tool that discovers device configurations for selected enterprise sites and automatically organizes the data to assist users, so they can build intents for network function policies in enterprise networks. An intent builder performs device discovery of network function (NF) instances in a customer network; retrieves configuration elements from the NF instances; normalizes the configuration elements; and generates a graphical user interface with rule paths based on the configuration elements. The network device receives, via the graphical user interface, user input to map source Internet protocol (IP) addresses in the rule paths to a user label and to map destination IP address in the rule paths to an application label. Based on the user input, the network device presents, via the graphical user interface, consolidated intents and generates vendor-agnostic policy rules from the consolidated intents.

Abstract: Facilitating separation of intended and non-intended browsing traffic in browsing history advanced networks (e.g., 4G, 5G, and beyond) is provided herein. Operations of a system can comprise determining respective contradiction values for second-level domains of a group of second-level domains in observed browsing history traffic. The operations can also comprise separating intended network traffic from non-intended network traffic based on the respective contradiction values. The respective contradiction values can indicate levels of inconsistency between the observed browsing history traffic and a determined popularity ranking.

Abstract: A proactive operations (ProOps) platform is contemplated to facilitate processing data for purposes of turning included information into action, such as to enable operators to proactively manage network operations using information derived from mathematical analysis of raw data collected from network devices.

Abstract: An apparatus comprises a processing device configured to collect system state information from host devices, to split the collected system state information into logical chunks, and to determine, based at least in part on a plurality of factors, a compression level to be applied to each of the logical chunks. The plurality of factors comprise a first factor characterizing a time at which the collected system state information is needed at a destination device and at least a second factor characterizing resources available for at least one of performing compression of the collected system state information and transmitting the collected system state information over at least one network to the destination device. The processing device is further configured to apply the determined compression level to each of the logical chunks to generate compressed logical chunks, and to transmit the compressed logical chunks to the destination device.

Abstract: Systems, methods, and non-transitory computer-readable storage media which have instructions stored for execution on a processor, for automating the commissioning of a transport network element within a network. A system configured according to this disclosure can be an Automated Commissioning Tool which can initiate communications with a network element on the network. The Automated Commissioning Tool can then retrieve updated firmware corresponding to the network element and configure the network element to have the updated firmware. Finally, the Automated Commissioning Tool can determine, from a network plan, a first port on the network element which is to be connected via a cross-connect to a second port on the network element and establish the cross-connect on the network element. At this point the network element may be commissioned to operate as a transport network element within the network.

Abstract: A computer-implemented method reduces toil in chat systems. The method includes receiving, from a sending account, a message to be sent in a chat environment, where the chat environment includes a plurality of accounts including the sending account. The method also includes determining, by a learning model, a category of the message. The method further includes generating, for each account of the plurality accounts in a channel of the chat environment, a score, where the score indicates a likelihood an associated account will respond to a post with relevant information. The method includes recommending, based on the score, one or more accounts of the plurality of accounts to an at message, where the at message is configured to cause a notification to the associated account. The method further includes posting the message in the channel of the chat environment while at-mentioning the one or more accounts.

Abstract: A method of operating a terminal (130), comprising: transmitting, to a master control node (290) of an edge computing architecture (299), a configuration request message (7001), the configuration request message (7001) being indicative of at least one of a connectivity status of the terminal (130) indicative of an access network and a location of the terminal (130), receiving, from the master control node (290), a configuration response message (7002) indicative of an edge computing system (260-267), and executing an edge computing application (4001, 4002) using the edge computing system (260-267).

Abstract: The processor may collect, from a first peer, a first data set associated with a channel. The channel may include one or more assets associated with a first peer. The channel may link the first peer to a second peer. The processor may analyze the first data set to determine a first status for the one or more assets. The processor may provide the first status of the one or more assets in a viewable channel to the blockchain network.

Abstract: Multiple data paths may be available to a data management system for transferring data between a primary storage device and a secondary storage device. The data management system may be able to gain operational advantages by performing load balancing across the multiple data paths. The system may use application layer characteristics of the data for transferring from a primary storage to a backup storage during data backup operation, and correspondingly from a secondary or backup storage system to a primary storage system during restoration.

Abstract: Described herein are systems, methods, and software to enhance the management of responses to incidents. In one example, a method of improving incident response comprises identifying an incident in an information technology (IT) environment associated with a first entity of a plurality of entities, and identifying action implementation information related to the incident. The method further anonymizes the action implementation information for the incident, and determines action suggestions based at least on the anonymized action implementation information.

Abstract: Disclosed herein are a method and an NWDAF for collecting network data, including: transmitting a network exposure subscription request message including an event reporting granularity parameter to the NF; receiving a data set determined by the NF based on the event reporting granularity parameter from the NF through an event exposure notification message in at least one reporting cycle; and performing network data analysis using received data set.