Machine Learning - EGI Landscape Analysis

Permalink:

https://documents.egi.eu/document/3687

Document #:

EGI-doc-3687-v2

Document type:

Internal document

Submitted by:

Ville Tenhunen

Updated by:

Ville Tenhunen

Document Created:

18 Dec 2020, 13:38

Contents Revised:

05 Mar 2021, 13:15

Metadata Revised:

26 Mar 2021, 16:03

Abstract:

In this landscaping document has presented Machine Learning and Artificial Intelligence landscape beginning from general use cases, fields of applicability and available tools and services like platforms, applications, softwares, libraries and workflow tools and analysis on the current adoption and usage of the technology. After these chapters this document focuses on standardisation activities & policies, AI Projects, Initiatives, partnerships and technology provider and integration scenarios in the EGI infrastructure.

Files in Document:

• Machine Learning - EGI Landscape Analysis (PDF) (Machine Learning - EGI Landscape Analysis .pdf, 2.2 MB)
• Machine Learning - EGI Landscape Analysis (XML Word document) (Machine Learning - EGI Landscape Analysis .docx, 2.2 MB)

Topics:

• EGI
• EGI.eu

Authors:

• Enol Fernandez del Castillo
• Elisa Cauhe
• Andrea Manzi
• Diego Scardaci
• Ville Tenhunen

Keywords:

machine_learning artificial_intelligence data_science ml ai ds dsml