Abstract: A process mining system performs process mining using visual logs generated from video streams of worker devices. Specifically, for a given worker device, the process mining system obtains a series of images capturing a screen of a worker device while the worker device processes one or more tasks related to an operation process. The process mining system determines activity labels for a plurality of images. An activity label for an image may indicate an activity performed on the worker device when the image was captured. The activity label is determined by extracting information from pixels of the image and inferring the activity of the worker device from the extracted information. The process mining system generates event logs from the visual logs of worker devices and uses the event logs for process mining.

Abstract: A conversational branch data prediction system predicts conversational branch data that can be used in automated conversational services (e.g., “chatbots”). The conversational branch data prediction system predicts the conversational branch data based on interactions with multiple sections across multiple webpages of a website, such as sections that include particular portions of text on webpages and omit additional portions of the text. For each section, the conversational branch data prediction system determines a vector embedding of text data in the section and a topic. Based on event metrics data, the conversational branch data prediction system identifies interactions with a particular subset of the sections having a particular topic. A trained machine-learning dialogue model identifies conversational text data correlated with vector embeddings associated with the particular subset of sections.

Abstract: A computerized-method for handling emergency digital interactions in a contact center having agents handling concurrent interactions. The computerized-method includes for each agent in the contact center: (i) monitoring each real-time digital-interaction of an agent with a customer, that was routed by a ACD application, wherein the agent is concurrently handling two or more interactions via a User Interface (UI) that is associated to an application for handling concurrent interactions; (ii) operating an interaction-analyzer module on the monitored real-time digital-interaction to yield interaction-metadata; (iii) operating a prioritization module on the yielded interaction-metadata of the monitored real-time digital-interaction to set an emergency-mode thereto; The emergency-mode is one of: ‘on’ and ‘off’, and (iv) operating an interaction-handler module to prioritize the monitored real-time digital-interaction when the emergency-mode has been set to ‘on’ and move the agent into emergency-handling-mode.

Abstract: Packages for medical devices are disclosed. An example package may include base having a medical device holding channel formed therein. A cover may be disposed over the base. The cover may only partially overlie the medical device holding channel.

Abstract: A system, process, and computer-readable medium for updating an application cache using a stream listening service is described. A stream listening service may monitor one or more data streams for content relating to a user. The stream listening service may forward the content along with time-to-live values to an application cache. A user may use an application to obtain information regarding the user's account, where the application obtains information from a data store and/or cached information from the application cache. The stream listening service, by forwarding current account information, obtained from listening to one or more streams, to the application cache, reduces traffic at the data store by providing current information from the data stream to the application cache.

Abstract: A system, process, and computer-readable medium for updating an application cache using a stream listening service is described. A stream listening service may monitor one or more data streams for content relating to a user. The stream listening service may forward the content along with time-to-live values to an application cache. A user may use an application to obtain information regarding the user's account, where the application obtains information from a data store and/or cached information from the application cache. The stream listening service, by forwarding current account information, obtained from listening to one or more streams, to the application cache, reduces traffic at the data store by providing current information from the data stream to the application cache.

Abstract: A computing system identifies a heterogenous multi-entity graph user graph for a user based upon an identifier for the user. The user graph includes nodes and edges connecting the nodes. The nodes include topic nodes representing topics and entity nodes. The entity nodes represent people associated with the user, documents of the user, or derived information that is derived from the documents. The computing system identifies a cluster of the topic nodes corresponding to a productivity area of the user and performs a walk of the user graph based upon the subset of the topic nodes to identify a subset of the people, the documents, and the derived information. The computing system causes a graphical user interface (GUI) to be presented on a display, where the GUI includes identifiers for the subset of the people, the documents, and the derived information.

Abstract: A conversational branch data prediction system predicts conversational branch data that can be used in automated conversational services (e.g., “chatbots”). The conversational branch data prediction system predicts the conversational branch data based on interactions with multiple sections across multiple webpages of a website, such as sections that include particular portions of text on webpages and omit additional portions of the text. For each section, the conversational branch data prediction system determines a vector embedding of text data in the section and a topic. Based on event metrics data, the conversational branch data prediction system identifies interactions with a particular subset of the sections having a particular topic. A trained machine-learning dialogue model identifies conversational text data correlated with vector embeddings associated with the particular subset of sections.

Abstract: A method of connecting a software-defined data center (SDDC) to a cloud platform to enable the cloud platform to deliver cloud services to the SDDC includes the steps of: deploying an agent platform appliance that is connected to a management network of the SDDC; and deploying a plurality of agents on the agent platform appliance, wherein the agents include a first agent that is configured to issue a command to a component of the SDDC to perform an operation requested by a cloud service of the cloud platform and a second agent that is configured to acquire an authentication token for authenticating to the component of the SDDC, and wherein the second agent acquires the authentication token from the component of the SDDC, and the first agent acquires the authentication token from the second agent and transmits the command and the authentication token to the component of the SDDC.

Abstract: A system, process, and computer-readable medium for updating an application cache using a stream listening service is described. A stream listening service may monitor one or more data streams for content relating to a user. The stream listening service may forward the content along with time-to-live values to an application cache. A user may use an application to obtain information regarding the user's account, where the application obtains information from a data store and/or cached information from the application cache. The stream listening service, by forwarding current account information, obtained from listening to one or more streams, to the application cache, reduces traffic at the data store by providing current information from the data stream to the application cache.

Abstract: A computing system identifies a heterogenous multi-entity graph user graph for a user based upon an identifier for the user. The user graph includes nodes and edges connecting the nodes. The nodes include topic nodes representing topics and entity nodes. The entity nodes represent people associated with the user, documents of the user, or derived information that is derived from the documents. The computing system identifies a cluster of the topic nodes corresponding to a productivity area of the user and performs a walk of the user graph based upon the subset of the topic nodes to identify a subset of the people, the documents, and the derived information. The computing system causes a graphical user interface (GUI) to be presented on a display, where the GUI includes identifiers for the subset of the people, the documents, and the derived information.

Abstract: An example method of alerting and remediation in a multi-cloud computing system having a public cloud in communication with a data center includes: receiving, at remediation and troubleshooting software executing in the public cloud, event and log information generated by endpoint software executing in the data center during operation thereof; generating, at the remediation and troubleshooting software, an incident in response to the event and log information; sending, by a remediation and troubleshooting service (RTS) of the remediation and troubleshooting software in response to the incident, a remediation task to a coordinator agent over a message fabric, the coordinator agent executing in an agent platform appliance of the data center; and executing, by the coordinator agent, remediation of the endpoint software according to the remediation task.

Abstract: A method of registering and deploying an agent platform appliance in a hybrid environment includes the steps of: transmitting a first code to a cloud platform to create an authentication account for the agent platform appliance, wherein credentials for accessing the authentication account include the first code; transmitting a request for an access token that permits downloading images of agents from an agent repository of the cloud platform, wherein the request for the access token includes the first code for accessing the created authentication account; upon receiving the access token, transmitting a request to the agent repository, to download the images of the agents, wherein the request to download the images of the agents includes the received access token; and upon receiving the images of the agents from the agent repository, installing the agents on the agent platform appliance using the received images of the agents.

Abstract: A catheter tip shaping system includes a catheter, and a tip shaping tool. The tip shaping tool includes a body having a first end and a second end, a first pin, a second pin, and a third pin, wherein the first, second, and third pins are positioned at the first end of the body and extend from a first face of the body. A distal end region of the catheter may be configured to be positioned between a gap between the first, second, and third pins such that the tip shaping tool can be manipulated by a user to invoke a curvature in the distal end region of the catheter.

Abstract: A system for driver risk analysis includes and/or interfaces with: a processing subsystem, a set of sensors, and a set of models and/or algorithms. Additionally or alternatively, the system can include and/or interface with any or all of: a software platform, a set of client applications, a set of user devices, and/or any other components. A method for driver risk analysis can include any or all of: collecting a set of data; analyzing the set of data to determine a set of features; analyzing the set of data to produce a set of driver risk outputs; and triggering a set of actions based on the set of driver risk outputs. Additionally or alternatively, the method can include any or all of: determining eligibility criteria associated with a set of end entities; modifying any or all of the collection of data and/or the analysis of data and/or the driver risk outputs based on the eligibility criteria; training and/or updating a set of models and/or algorithms; and/or any other processes.

Abstract: A system for driver risk analysis includes and/or interfaces with: a processing subsystem, a set of sensors, and a set of models and/or algorithms. Additionally or alternatively, the system can include and/or interface with any or all of: a software platform, a set of client applications, a set of user devices, and/or any other components. A method for driver risk analysis can include any or all of: collecting a set of data; analyzing the set of data to determine a set of features; analyzing the set of data to produce a set of driver risk outputs; and triggering a set of actions based on the set of driver risk outputs. Additionally or alternatively, the method can include any or all of: determining eligibility criteria associated with a set of end entities; modifying any or all of the collection of data and/or the analysis of data and/or the driver risk outputs based on the eligibility criteria; training and/or updating a set of models and/or algorithms; and/or any other processes.

Abstract: A catheter system which provides adjustability of the length of the guidewire extending distally from the distal tip of the catheter and/or allows the guidewire to be secured relative to the catheter hub to allow the guidewire and the catheter to be steered simultaneously. The catheter system may include a catheter having an elongate shaft defining a catheter lumen, a hub assembly coupled to the proximal end of the elongate shaft and including a hub assembly lumen, a torque assembly releasably coupled to the hub assembly and including a torque assembly lumen, and a guidewire co-axially disposed within the catheter lumen, hub assembly lumen, and torque assembly lumen. In a first configuration the torque assembly may be configured to simultaneously torque the elongate shaft and the guidewire and in a second configuration the torque assembly may be configured to torque the guidewire independent of the elongate shaft.

Abstract: A method, system, apparatus, and computer program product for accessing and communicating data between accounts, including incentives for their use. Consumers, businesses, creditors, and agencies may be allowed to create and manage a centralized collections account. Consumers may be able to pay, negotiate, and manage their past due debt accounts within the centralized collections account. Businesses, creditors, and agencies may be able to negotiate with customers, manage clients and sub clients, and set legal terms and conditions within the centralized collections account. Rewards may be earned for negotiating and paying off a collections account or assisting others in these actions. Businesses, creditors, and agencies may be able to electronically communicate amongst themselves and with consumers, potentially reducing postal and telephone expenses.

Abstract: A system, process, and computer-readable medium for updating an application cache using a stream listening service is described. A stream listening service may monitor one or more data streams for content relating to a user. The stream listening service may forward the content along with time-to-live values to an application cache. A user may use an application to obtain information regarding the user's account, where the application obtains information from a data store and/or cached information from the application cache. The stream listening service, by forwarding current account information, obtained from listening to one or more streams, to the application cache, reduces traffic at the data store by providing current information from the data stream to the application cache.

Abstract: A method of forwarding logs of a software-defined data center (SDDC) and logs of an agent platform appliance to a cloud platform through the agent platform appliance, the agent platform appliance having deployed thereon a plurality of agents of cloud services that are delivered to the SDDC, includes the steps of: collecting first log data from one or more management appliances of the SDDC; collecting second log data from one or more of the agents of cloud services; acquiring one or more access tokens for communicating with the cloud platform; and transmitting log data generated from the collected first log data and the collected second log data, along with the one or more access tokens, to a log monitoring service running in the cloud platform, wherein the log monitoring service is configured to generate alerts separately for different tenants of the computer system from log data of the different tenants.