Intelligent Systems Orchestration via Standardized Protocols
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Solution Overview
Problem
Existing intelligent systems require complex and resource-intensive custom integrations to combine disparate cognitive services in intelligent virtual assistant applications, leading to stability and reliability issues.
Innovation Solution
An intelligent systems orchestration system that integrates disparate intelligent systems by creating standardized protocols for channel data streams, allowing for unified interaction between channels, cognitive services, and escalation parties, and enabling seamless training and exposure through multiple channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If custom integrations are implemented between disparate intelligent systems, then the systems can provide cognitive services in intelligent virtual assistant applications, but the integration complexity and resource requirements increase substantially
Solution Approach 1:
The patent implements a universal integration layer that provides standardized interfaces and protocols for connecting different intelligent systems. This integration layer acts as a mediator that translates between various system-specific protocols and a common standardized protocol, enabling multiple intelligent systems to be integrated without requiring custom integration code for each pair of systems. The universal interface architecture allows the same integration mechanism to work across diverse cognitive services and channels.
Solution Approach 2:
The patent introduces an intermediary integration layer that sits between disparate intelligent systems and the intelligent virtual assistant application. This intermediary translates, adapts, and standardizes communications between systems with different protocols, eliminating the need for direct custom integrations between each system pair. The intermediary handles protocol conversion, data normalization, and interface standardization, thereby reducing overall integration complexity.
2Adaptability or versatility
If custom integrations are implemented between disparate intelligent systems, then the systems can work together in intelligent virtual assistant applications, but the resource requirements and implementation time increase
Solution Approach 1:
The patent establishes standardized integration protocols and interfaces in advance, before actual system deployment. The integration layer is pre-configured with translation rules, protocol mappings, and adaptation logic that can be applied immediately when new intelligent systems need to be integrated. This preliminary standardization eliminates the need for time-consuming custom integration development for each new system addition.
Solution Approach 2:
The universal integration architecture allows a single integration mechanism to serve multiple intelligent systems and cognitive services simultaneously. Once the standardized interface is established, additional systems can be connected using the same integration pattern, dramatically reducing implementation time and resource requirements compared to creating custom integrations for each system.
3Adaptability or versatility
If custom integrations are implemented between disparate intelligent systems, then the systems can provide comprehensive cognitive services, but system stability and reliability are compromised
Solution Approach 1:
The intermediary integration layer isolates disparate intelligent systems from direct interactions, preventing instability in one system from propagating to others. The intermediary validates, standardizes, and controls all communications between systems, ensuring data integrity and protocol compliance. This mediation layer acts as a buffer that maintains system stability while enabling comprehensive service integration.
Solution Approach 2:
The patent implements error handling, validation, and exception management mechanisms in the integration layer before issues can affect system stability. The intermediary pre-processes communications to detect and correct potential problems, ensuring that only validated and standardized data passes between systems. This beforehand cushioning prevents reliability issues from developing in the integrated system.
Data Source
AI summary
Systems and methods for integrated orchestration of intelligent systems. An intelligent systems orchestration system harvests and combines aspects of disparate intelligent systems for use in intelligent virtual assistant applications and automation applications. In one aspect, the system provides an intelligent orchestration between cognitive plugins, such as natural language processing, sentiment analysis, speech recognition, text-to-speech, and computer vision. The intelligent systems orchestration system supports the building and deployment of cognitive applications (e.g., training, agent assist, customer assist, next best action and compliance) for enhancing a brand customer experience, and agent proficiency. The system also provides multi-IVA orchestration and supports session, context, and state management. Furthermore, the intelligent systems orchestration system includes a Conversation Control Language for the normalization of conversations across multiple channels and bots.