Cloud Communication System for Autonomous Collaboration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing communication systems are complex and non-intuitive, requiring users to manually initiate and manage communication functions, such as calls and meetings, without the ability to automatically determine collaboration opportunities or escalate communication sessions based on context and user needs.
Innovation Solution
A cloud-based communication system that analyzes active user communications to autonomously determine and initiate collaborative communication events, such as conference calls or meetings, by using natural language processing and machine learning to identify context and user intent, and leverage cloud services to invite appropriate participants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually initiate communication functions through multiple steps, then communication events can be created, but the process becomes complex and non-intuitive
Solution Approach 1:
The system autonomously analyzes communication content, identifies collaboration opportunities, and initiates communication events without requiring user intervention. The system serves itself by automatically processing communication data and triggering appropriate communication functions based on detected contexts and patterns.
Solution Approach 2:
The system performs preliminary analysis of communication content in real-time, identifying potential collaboration opportunities before users need to manually initiate follow-up communications. By pre-processing communication data and detecting patterns, the system prepares and triggers communication events proactively, eliminating the need for manual initiation steps.
2Productivity
If users manually manage communication sessions, then communication events can be coordinated, but user effort and time increase
Solution Approach 1:
The system autonomously manages communication sessions by automatically analyzing content, identifying collaboration opportunities, and coordinating communication events without requiring user intervention. This self-service capability eliminates manual management efforts and accelerates communication coordination efficiency.
Solution Approach 2:
The system continuously monitors communication content and provides real-time feedback by identifying collaboration opportunities and automatically initiating appropriate communication events. This closed-loop feedback mechanism enables the system to adaptively manage communication sessions, improving productivity while minimizing user time investment.
3Adaptability or versatility
If the system autonomously determines collaboration opportunities, then communication effectiveness improves, but system complexity increases
Solution Approach 1:
The system introduces an intermediary layer that automatically analyzes communication content and bridges the gap between raw communication data and actionable collaboration opportunities. This intermediary processing layer enables autonomous determination of collaboration opportunities while managing system complexity through modular architecture and standardized analysis protocols.
4Ease of operation
If the system automatically initiates communication events, then user effort is reduced, but automation extent increases
Solution Approach 1:
The system fully automates the initiation of communication events by autonomously analyzing communication content, identifying collaboration opportunities, and triggering appropriate communication functions without any user intervention. This complete self-service automation maximizes ease of operation while operating at the highest level of automation.
Data Source
AI summary
A cloud-based method and system for autonomously providing collaborative communication events to one or more users of client devices. The method and system are configured to analyze an active user communication for the purposes of determining, predicting, presenting, and/or triggering collaboration opportunities (e.g., later communication sessions or events) automatically or for manual selection by the active user. The analysis is performed in the context of a specific user communication and is completed with support from cloud-based communication services, data, and workflows.


