Abstract
In today's fast-paced and digitally driven environment, professionals are bombarded with many different types of notifications on a daily basis in which such notifications can be scattered across different platforms, such as email platforms, instant messaging platforms, and the like. Notifications spread across different platforms can lead to a loss of productivity due to wasted time and duplicated effort. To address such issues, an intelligent, centralized system is proposed herein that aggregates artificial intelligence (AI) -driven insights and automates task management across multiple platforms, providing a cohesive and streamlined user experience. Such a system can reduce cognitive load, enhance productivity, improve work-life balance, and enhance security by enabling seamless integration and intelligent curation of information, transforming the way professionals manage their digital workspaces.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Jackson, Arica Schivonne; Singh, Priya Santosh; Papathanasiou, Angeliki; Shliazhka, Natallia; and Jeuk, Sebastian, "AI-DRIVEN TECHNIQUES TO DYNAMICALLY AND ON-DEMAND PROVIDE CONTEXT-AWARE TASK OPTIMIZATION IN COMPLEX SYSTEMS", Technical Disclosure Commons, (October 21, 2025)
https://www.tdcommons.org/dpubs_series/8752