International Business Machines Corporation

Juliet K Mutahi

Komminist S Weldemariam

David W Kaguma

Skyler Speakman

Bikram Sengupta

Ismail Yunus Akhalwaya

Naweed Aghmad Khan

Francois Pierre Luus

Oliver Bent

Lucile Ter-Minassian

Methods and systems for operating a machine learning system are described. In an example, a device can receive an image and assign a set of pixels in the image as a digital representation of a livestock. The device can further train a machine learning model using the digital representation. The device can further run the machine learning model to generate prediction data relating to the livestock. The device can further generate output data relating to at least one activity among a livestock value chain. The at least one activity can correspond to a process to generate a commodity based on the livestock.

Machine learning models of livestock value chain

Intelligent management of user interface and device sensed events is provided. Discrete events generated through interactions between a user and a machine are monitored, the interaction performed via a user interface associated with an application running on the machine, the discrete events stored by sessions in a storage device local to the machine as event logs. Network connection pattern of the machine with a server device is determined. Storage constraints of the storage device are determined based on the monitoring and the network connection pattern. The event logs are compacted by progressively summarizing the discrete events on dynamically adjusted segments of the sessions. The compacted event logs are transmitted to the server device responsive to determining that a network connection between the machine and the server device is available.

Adaptive event management framework for resource-constrained environments

Herein are methods and systems for automated assessment of user devices and associated data, and granting access to wireless networks based on the assessment. For example, the systems and methods assess a user request for access to a wireless network at an access point, and automatically determine the type of access to be granted based on at least a loyalty score associated with the user. The automatic assessment can be used to encourage customer loyalty as well as to manage limited network resources.

Automated granting of access to networks and services for pre-paid devices

Growing community of inventors

Nairobi, Kenya

Juliet K Mutahi