Abstract: An Industrial Virtual Assistant (IVA) platform with Robotic Process Automation that operates like a Digital Knowledge Companion and allows operational staff at industrial facilities to have natural language conversations with the IVA to obtain information about, and to control operations of, industrial facilities, and which automates certain processes based in part on those natural language conversations. In an embodiment, the platform uses a Robotic Process Automater (RPA) to ingest information from documentation, human inputs, and operational data from the facility, organize that information into a knowledge graph containing comprehensive facility information, and apply machine learning algorithms to the knowledge graph to provide natural language responses to human queries and to automate certain processes of the facility.

Abstract: An Industrial Virtual Assistant (IVA) platform with Robotic Process Automation that operates like a Digital Knowledge Companion and allows operational staff at industrial facilities to have natural language conversations with the IVA to obtain information about, and to control operations of, industrial facilities, and which automates certain processes based in part on those natural language conversations. In an embodiment, the platform uses a Robotic Process Automater (RPA) to ingest information from documentation, human inputs, and operational data from the facility, organize that information into a knowledge graph containing comprehensive facility information, and apply machine learning algorithms to the knowledge graph to provide natural language responses to human queries and to automate certain processes of the facility.

Abstract: A distributed Industrial Virtual Assistant (IVA) platform and method that that allows operational staff at industrial facilities to have natural language conversations with an IVA to obtain information about, and to control operations of, industrial facilities. For each facility, the IVA platform contains a facilities asset database, one or more domain-specific knowledge databases, a natural language processing engine, and machine learning algorithms for both knowledge domains and context which update the domain-specific knowledge databases based on continuing interactions with operational staff over time. The IVA platform is capable of generating user-specific and device-specific IVA instances that can be queried by voice or text independently of the platform but can connect to the platform to update the databases based on new knowledge, exceptions, and incidents.