International Business Machines Corporation

Kyndryl, Inc.

Daniel Grey Yates

Benjamin C Wisnewski

Thomas E Reichart

George E Stark

Daniel S Riley

Pawel Jasionowski

Steven J Mazzuca

Michael H Roehl

Gregory Wisnewski

Example techniques are described for determining a dynamic traffic-management plan based on factors such as predicted increases in traffic and known-structurally-deficient transportation infrastructure. Traffic patterns may be re-routed, particularly during high-congestion events, to reduce or avoid excessive weight loads travelling across weakened sections of roads, bridges, or the like.

Dynamic traffic management system

A system to provide end users with recommendations on improving the quality of the incident management process is provided. A computer device identifies a set of historical incident reports, wherein the historical incident reports identify: (i) incident tickets, (ii) one or more skills associated with personnel assigned to the incident tickets, and (iii) whether the incident tickets were resolved within threshold periods of time to resolve. The computing device trains a machine learning model to predict sets of skills associated with resolving incident tickets within the threshold periods of time to resolve based, at least in part, on the identified set of historical incident reports. The computing device assigns a set of personnel to the new incident ticket based, at least in part, on the predicted set of skills associated with resolving the new incident ticket within the threshold period of time to resolve.

Identification of incident required resolution time

A method, computer system, and a computer program product for dynamic cognitive responses is provided. The present invention may include enabling a dynamic cognitive response program via a mobile application. The present invention may then include receiving a text message from an initiating device on a recipient device of the dynamic cognitive response program. The present invention may then include activating the dynamic cognitive response program based on the received text message. The present invention may then include analyzing the received text message on the recipient device. The present invention may include then classifying the received text message on the recipient device. The present invention may include generating an intelligent response based on the analyzed received text message. The present invention may then include sending the generated intelligent response to the initiating device.

Cognitive message dynamic response optimization

A method, computer system, and a computer program product for dynamic cognitive responses is provided. The present invention may include enabling a dynamic cognitive response program via a mobile application. The present invention may then include receiving a text message from an initiating device on a recipient device of the dynamic cognitive response program. The present invention may then include activating the dynamic cognitive response program based on the received text message. The present invention may then include analyzing the received text message on the recipient device. The present invention may include generating an intelligent response based on the analyzed received text message. The present invention may then include sending the generated intelligent response to the initiating device.

Growing community of inventors

Columbia, MO, United States of America

Daniel Grey Yates