AI REDGIO 5.0 Collaborative Intelligence Platform: Difference between revisions
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== Platform User Journey == | == Platform User Journey == | ||
Our platform adopts a practical problem-solving approach, data analysis, and process optimisation. This subsection is a comprehensive usage walkthrough, explaining the steps of interaction with the Collaborative Intelligence Platform as a whole | Our platform adopts a practical problem-solving approach, data analysis, and process optimisation. This subsection is a comprehensive usage walkthrough, explaining the steps of interaction with the Collaborative Intelligence Platform as a whole | ||
<strong>Purpose of Bunch 1 of Steps</strong> | |||
# Bunch 1 - Step 1 | |||
# Bunch 1 - Step 2 | |||
<strong>Purpose of Bunch 2 of Steps</strong> | |||
# Bunch 2 - Step 1 | |||
## Bunch 2 - Step 1 - Substep 1 | |||
## Bunch 2 - Step 1 - Substep 2 | |||
== Usage Walkthrough == | |||
<strong>Purpose of Bunch 1 of Steps</strong> | <strong>Purpose of Bunch 1 of Steps</strong> | ||
# Bunch 1 - Step 1 | # Bunch 1 - Step 1 | ||
Revision as of 11:46, 10 November 2023
Facilitating Human-AI collaboration through cutting-edge AI capabilities
Asset Description
The AI REDGIO 5.0 Collaborative Intelligence Platform is a solution at the forefront of Industry 5.0.[1] The idea is to combine various technological advancements to redefine industrial landscapes. The platform facilitates Human-AI collaboration by integrating cutting-edge AI capabilities. In this way, the platform is intended to illustrate the potential of connected devices, sensors, and machines through real-time data fusion and analysis, driving optimal decision-making and resource allocation.
Features
| Feature | Description |
|---|---|
| Integration of Advanced Technologies | Integration of cutting-edge technologies, including AI-driven analytics, and Internet of Things (IoT)-enabled devices to create a synergistic ecosystem |
| Human-Machine Interaction | Facilitating interaction between human operators and machines |
| Support of Real-time Operations | The platform works in tandem with real-time data analytics on IoT data |
| Continuous Learning and Knowledge Management | Storage in a knowledge-sharing and learning management repository |
| Collaborative Innovation | Fostering a culture of collaborative innovation, where human operators can interact with AI for improved processes and final product |
Components
| Component | Description | Type | Status |
|---|---|---|---|
| Collaborative Intelligence Component | Allows the human operator to accept or reject a manufactured product. This component has an interface that can be configured around various metrics including, but not limited to, accuracy, interpretability, speed, etc | User-facing | Working Prototype |
| Pipeline Creation Component | Easily create, configure, and deploy workflows in various work environments. This component acts as the backbone of a robust and efficient workflow management system, enabling organisations to optimise their processes and achieve higher productivity | User-facing | Work in Progress |
| Interfacing Component | Connects the operator interface with hardware and housing pre-trained models ready for deployment in manufacturing environments. This component acts as the bridge between the digital and physical realms of experiments | Backend | Working Prototype |
Platform User Journey
Our platform adopts a practical problem-solving approach, data analysis, and process optimisation. This subsection is a comprehensive usage walkthrough, explaining the steps of interaction with the Collaborative Intelligence Platform as a whole
Purpose of Bunch 1 of Steps
- Bunch 1 - Step 1
- Bunch 1 - Step 2
Purpose of Bunch 2 of Steps
- Bunch 2 - Step 1
- Bunch 2 - Step 1 - Substep 1
- Bunch 2 - Step 1 - Substep 2
Usage Walkthrough
Purpose of Bunch 1 of Steps
- Bunch 1 - Step 1
- Bunch 1 - Step 2
Purpose of Bunch 2 of Steps
- Bunch 2 - Step 1
- Bunch 2 - Step 1 - Substep 1
- Bunch 2 - Step 1 - Substep 2
External Resources
- Created by Software Competence Centre Hagenberg - SCCH
- Contact [email]
Relevant Categories
References
- ↑ Ivanov, D. (2023). The Industry 5.0 framework: Viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research, 61(5), 1683-1695.