Servicenow, Inc.

Prabhat Mishra

Sarup Paul

Ryan Christopher Currier

Rampradeep Dodda

Avishek Dey

Umakanth Godavarthy

Vinamra Misra

Mallesh Aggu

Paulina Luckiewicz

Harish Bellamane

Preethi Chittimalla

Srikanth Vemulapalli

Kushang Moorthy

Kartik Lanka

Rashmi Toparapu

P Rajshekar Reddy

Ramola Raj Teketi

Rahul Surendra Jain

Jaheen Afsar Syed

An example embodiment may involve persistent storage containing definitions of (i) assignments of bots to endpoints, (ii) software packages for execution by the bots, (iii) schedules for the bots to execute the software packages, and (iv) processes that associate the bots with the software packages and the schedules. This embodiment may also involve processors configured to: receive, from a computing device, a request for bot deployment, wherein the computing device includes a bot runtime; identify, in the processes, a bot assigned to an endpoint that is associated with the computing device, wherein the bot is associated with a software package and a schedule; and transmit, to the computing device, data including a representation of the bot, a copy of the software package, and a copy of the schedule, wherein reception of the data causes the bot to execute, using the bot runtime, the software package in accordance with the schedule.

Orchestration for robotic process automation

Example embodiments relate to parallelized exception handling for large datasets. One example embodiment includes a method. The method includes retrieving one or more sets of entries to be analyzed. The method also includes selecting an available computing resource. In addition, the method includes causing the available computing resource to perform an analysis of each entry within the respective set of entries to identify previously defined exceptions. Further, the method includes causing, for each entry within the respective set of entries, a list of exceptions associated with the respective entry to be created or updated based on the analysis. Additionally, the method includes causing, for each entry within the respective set of entries, metadata associated with the respective entry to be updated when the list of exceptions associated with the respective entry indicates that no exceptions are associated with the respective entry.

Parallelized exception handling for large datasets

A computing system includes a server. The server is communicatively coupled to a data repository and is configured to store a data in the data repository. The server is further configured to create a server instance, wherein the server instance is associated with a user. The server is additionally configured to create a session based on an external entity requesting a resource from the server instance, and to execute a bot detection logic to determine if the external entity is a bot. If the external entity is a bot then the server is configured to perform a bot-based action, wherein the server is configured to provide for multi-instance support to a plurality of users.

System and method for bot detection and classification

A system implements user permissions and user subscriptions with regard to content posted on one or more peer-to-peer knowledge sharing platforms (e.g., Community pages). Permissions are assigned to groups of users, rather than individual users. Permissions are determined by the groups of which the user in question is a member.

Systems for peer-to-peer knowledge sharing platform

Growing community of inventors

Hyderabad Telangana, India

Prabhat Mishra