A16: Best Practices (IT Equipment Recovery): Difference between revisions
Created page with "• '''Short Description''': • '''Reference, URL''': • '''Applicable Business Category''': • '''Application in relevant Projects/Initiatives''': • '''Asset Type'..." |
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• '''Short Description''': | • '''Short Description''': Redesign of technical processes in the refurbishment of IT equipment with the use of AI tools, thereby increasing the recovery of second-hand equipment, critical components and materials, reducing costs and creating added value. The results are presented in the form of updated technical instructions to provide electrical and electronic waste management companies and workers, where the focus is on reuse through the advantages of AI. | ||
• '''Reference, URL''': | • '''Reference, URL''': https://revertia.com/en/ | ||
• '''Applicable Business Category''': | • '''Applicable Business Category''': Manufacturing | ||
• '''Application in relevant Projects/Initiatives''': | • '''Application in relevant Projects/Initiatives''':Yes, Circular TwAIn | ||
• '''Asset Type''': | • '''Asset Type''': Executable | ||
• '''AI Breadth''': | • '''AI Breadth''': | ||
| Line 15: | Line 15: | ||
• '''Related technologies''': | • '''Related technologies''': | ||
• '''Applicable Research Area''': | • '''Applicable Research Area''': Collaborative AI | ||
• '''Applicable Technical Category''': | • '''Applicable Technical Category''': Optimisation | ||
• '''License Information: Proprietary license''': | • '''License Information: Proprietary license''': | ||
• '''Related to circularity and sustainability''': | • '''Related to circularity and sustainability''': yes | ||
• '''Audience''': | • '''Audience''': Electrical and Electronic waste management companies and workers | ||
Go back to the '''[[AI portfolio of reference implementations]]''' | Go back to the '''[[AI portfolio of reference implementations]]''' | ||
Revision as of 07:55, 8 April 2025
• Short Description: Redesign of technical processes in the refurbishment of IT equipment with the use of AI tools, thereby increasing the recovery of second-hand equipment, critical components and materials, reducing costs and creating added value. The results are presented in the form of updated technical instructions to provide electrical and electronic waste management companies and workers, where the focus is on reuse through the advantages of AI.
• Reference, URL: https://revertia.com/en/
• Applicable Business Category: Manufacturing
• Application in relevant Projects/Initiatives:Yes, Circular TwAIn
• Asset Type: Executable
• AI Breadth:
• Learning Ability:
• Related technologies:
• Applicable Research Area: Collaborative AI
• Applicable Technical Category: Optimisation
• License Information: Proprietary license:
• Related to circularity and sustainability: yes
• Audience: Electrical and Electronic waste management companies and workers
Go back to the AI portfolio of reference implementations
