International Business Machines Corporation

Kyndryl, Inc.

Benjamin C Wisnewski

Daniel Grey Yates

Thomas E Reichart

Paul R Bastide

Anca Sailer

Sunil Kumar Mishra

Mattia Tomasoni

Greg Reed Estep

Maxim Y Litvinenko

Aaron Thomas Corette

Gregory Wisnewski

Data-analysis-based processing facilitates providing augmented-reality object location assistance. The processing includes obtaining a user-request related to facilitating locating an object of interest, and identifying a target area containing the object. Further, the process includes providing augmentation data for rendering as an overlay on a user-device to assist in directing the user to the target area containing the object. The augmentation data being provided is dynamically changed as the user-device is moved in relation to the target area containing the object to assist the user in locating the object within the target area.

Augmented-reality object location-assist system

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 geographic location to which a user intends to travel, medical information pertaining to the user and conditions at the geographic location that impact health of human beings can be identified. A health impact model can be created for the user, the health impact model analyzing the determined conditions at the geographic location in a context of the accessed medical information pertaining to the user. Based on the analyzing by the health impact model, a score can be assigned to an anticipated health impact on the user of the identified conditions at the geographic location. If the score assigned to the anticipated health impact on the user of the identified conditions at the geographic location exceeds a threshold value, at least one action for the user can be automatically initiated and controlled.

Travel health optimization simulating health impact of intended user travel using cognitive analytics based on conditions at a geographic location

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

An entry on an allergen map may be generated by a computer system where a deep learning model is trained using online content data. Allergen content data which contains geographic data may be detected from the online content data. The allergen content data may be analyzed by the computer system and tagged with a quality and intensity indicator. Based on the tagging and the geographic location, an allergen map may be generated.

Deep learning allergen mapping

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.

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Columbia, MO, United States of America

Benjamin C Wisnewski