D.5: AI Application Toolkit: Difference between revisions
No edit summary |
No edit summary |
||
| Line 1: | Line 1: | ||
D.5: AI Application Toolkit | '''D.5: AI Application Toolkit''' | ||
• '''Short Description''': The AI App toolkit works as a cloud-based infrastructure that is offered to stakeholders to design and run their AI tasks. Using an intuitive UI, the toolkit allows stakeholders to design and execute their AI pipelines in order to acquire the results of the AI algorithms they develop and visualise them. The overall infrastucture is build as a complex software system that is using an orchestrator (Kubernetes) to conduct the appropriate execution of various services that are containerised using Docker. Data and Object storage are based on Min.io and MongoDB, while the backend services are powered by code authored in Node.JS. | • '''Short Description''': The AI App toolkit works as a cloud-based infrastructure that is offered to stakeholders to design and run their AI tasks. Using an intuitive UI, the toolkit allows stakeholders to design and execute their AI pipelines in order to acquire the results of the AI algorithms they develop and visualise them. The overall infrastucture is build as a complex software system that is using an orchestrator (Kubernetes) to conduct the appropriate execution of various services that are containerised using Docker. Data and Object storage are based on Min.io and MongoDB, while the backend services are powered by code authored in Node.JS. | ||
Revision as of 08:27, 6 March 2025
D.5: AI Application Toolkit
• Short Description: The AI App toolkit works as a cloud-based infrastructure that is offered to stakeholders to design and run their AI tasks. Using an intuitive UI, the toolkit allows stakeholders to design and execute their AI pipelines in order to acquire the results of the AI algorithms they develop and visualise them. The overall infrastucture is build as a complex software system that is using an orchestrator (Kubernetes) to conduct the appropriate execution of various services that are containerised using Docker. Data and Object storage are based on Min.io and MongoDB, while the backend services are powered by code authored in Node.JS.
• Reference, URL: https://www.suite5.eu/
• Applicable Business Category: All/Smart Industry
• Application in relevant Projects/Initiatives: Circular Twain
• Asset Type: Software as a Service
• AI Breadth: ML, DL, XAI
• Learning Ability: Supervised & Unsupervised learning
• Related technologies: Kubernetes, MongoDB, Min.io, Node.JS
• Applicable Research Area: Explainable AI
• Applicable Technical Category: Machine Learning
• License Information: Copyright
• Related to circularity and sustainability: Not directly
• Audience: Data Scientists
Go back to the AI portfolio of reference implementations
