Cloud-Edge for AI: Difference between revisions
Created page with "==Working group name::Cloud-Edge for AI ItemType::Working group== Description::The Cloud-Edge for AI Working Group works on Dataspaces, Data exchange (advanced capabilities), AI tools for FL and lifecycle of AI models, support data-driven applications, digital twins, application deployment, things that need to run on a cloud-edge infrastructure, require complex orchestration, identity and observability across multi-provider continuum. Furthermore, the scope of..." |
No edit summary |
||
| (One intermediate revision by the same user not shown) | |||
| Line 1: | Line 1: | ||
==[[Working group name::Cloud-Edge for AI]] [[ItemType::Working group]]== | ==[[Working group name::Cloud-Edge for AI]] [[ItemType::Working group]]== | ||
[[Description::The Cloud-Edge for AI Working Group works on Dataspaces, Data exchange (advanced capabilities), AI tools for FL and lifecycle of AI models, support data-driven applications, digital twins, application deployment, things that need to run on a cloud-edge infrastructure, require complex orchestration, identity and observability across multi-provider continuum. Furthermore, the scope of the WG consists in providing integrated services such as application lifecycle management to build, deploy and maintain apps all over the cloud-edge continuum – platform services -; data management to ease data ingestion, transformation and analysis in a multi-provider, federated environment in accordance with European regulation – data platform; and innovative data processing leveraging AI and ML – smart processing services.] | [[Description::The Cloud-Edge for AI Working Group works on Dataspaces, Data exchange (advanced capabilities), AI tools for FL and lifecycle of AI models, support data-driven applications, digital twins, application deployment, things that need to run on a cloud-edge infrastructure, require complex orchestration, identity and observability across multi-provider continuum. Furthermore, the scope of the WG consists in providing integrated services such as application lifecycle management to build, deploy and maintain apps all over the cloud-edge continuum – platform services -; data management to ease data ingestion, transformation and analysis in a multi-provider, federated environment in accordance with European regulation – data platform; and innovative data processing leveraging AI and ML – smart processing services.]] | ||
The Working Group co-leaders are [[Björn Forsberg]] and [[Antal Kuthy]]. | The Working Group co-leaders are [[Working group co-leader::Björn Forsberg]] and [[Working group co-leader::Antal Kuthy]]. | ||
Latest revision as of 14:28, 21 October 2025
Cloud-Edge for AI Working group edit edit source
The Cloud-Edge for AI Working Group works on Dataspaces, Data exchange (advanced capabilities), AI tools for FL and lifecycle of AI models, support data-driven applications, digital twins, application deployment, things that need to run on a cloud-edge infrastructure, require complex orchestration, identity and observability across multi-provider continuum. Furthermore, the scope of the WG consists in providing integrated services such as application lifecycle management to build, deploy and maintain apps all over the cloud-edge continuum – platform services -; data management to ease data ingestion, transformation and analysis in a multi-provider, federated environment in accordance with European regulation – data platform; and innovative data processing leveraging AI and ML – smart processing services.
The Working Group co-leaders are Björn Forsberg and Antal Kuthy.