International Business Machines Corporation

Javier Torres

Joseph N Kozhaya

Paul Stuart Williamson

Ryan R Anderson

Anita Govindjee

Julio Eloy Ruano

Nicholas James Noecker, Jr

Shikhar Kwatra

Corville O Allen

Andrew Ronald Freed

Utilizing a computing device executing a master chatbot and one or more modular chatbots to respond to one or more chat messages. A computing device executing the master chatbot receives one or more chat messages. The computing device parses the received one or more chat messages to discover an intent and entities contained within the chat messages. A ranking algorithm is employed to rank the master chatbot and a plurality of modular chatbots, the ranking algorithm scoring the master chatbot and the plurality of modular chatbots based upon the intent and entities contained within the one or more chat messages. The master chatbot responds to the chat message if the ranking algorithm rates the master chatbot highest or forwards automatically the one or more chat messages to a ranked modular chatbot for response if the ranking algorithm rates the ranked modular chatbot highest.

Chatbot orchestration

A method and system are provided for implementing enhanced cognitive searches optimized to integrate deployment with development testing. An initial body of works is ingested into a system capable of answering questions. A series of queries is analyzed against the initial body of works utilizing a set of scorers utilizing criteria to form assessments, wherein each scorer uses the criteria against the query and the initial body of works to form the assessment. The assessments are analyzed to determine a usefulness of a set of entries in the initial body of works. Content are deployed using the identified selected first set of entries as deployment ready, enabling enhanced cognitive search results.

Implementing enhanced DevOps process for cognitive search solutions

A method, apparatus, system and a computer program product are provided for scoring performance of a chatbot by capturing specified node performance metrics based on user interactions with one or more nodes in a dialog flow for the chatbot; assigning a score to each of the one or more nodes based on the specified node performance metrics; and assessing a performance measure for at least a portion of the chatbot by combining scores assigned to selected nodes in the dialog flow.

System and method for scoring performance of chatbots

A system, and computer usable program product for managing a local environment using data traffic information are provided in the illustrative embodiments. According to the invention, an data traffic on a data network associated with the local environment is monitored at a networking device. The local environment includes one or more devices. A device from the one or more devices is controllable using the data network. A condition in the local environment is inferred from the data traffic. An action to cause a change in the local environment is determined. A command corresponding to the action is sent to a subset of devices in the set of devices in the local environment to perform the action.

Managing local environment using data traffic information

An approach is provided that prints print jobs based on energy demand data. The print job manager, which is a software application running on an information handling system receives a print request, the print request including a print job. The print job manager retrieves energy demand data. The energy demand data corresponds to a power grid that is a power source for a printer accessible from the information handling system. If the energy demand data indicates a a non-elevated energy demand, then the print job is printed on the printer. On the other hand, if the energy demand data indicates an elevated energy demand, then the print request is stored in a storage and the process waits until the energy demand is not elevated, at which time the print job is printed on the printer.

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Austin, TX, United States of America

Javier Torres