Event planning and general information below - To be updated by Event/Meeting Lead

Event Details

LF AI Participation Overview: 

Event Location & Date(s):  Virtual , June 10 2021

Event Website: https://events.linuxfoundation.org/lf-ai-data-day-eu-virtual/

Registration: https://events.linuxfoundation.org/lf-ai-data-day-eu-virtual/register/

Visa Letter Request Process: https://events.linuxfoundation.org/visa-request/

LF AI Event Lead Contact Name & Contact Details: 

Jamil Chawki, Orange & LF AI OC

Jacqueline Z Cardoso & Ibrahim Haddad LF AI & Data


Final Schedule & Presentations

Final schedule to be posted here, including presentation links

Time

Topic

Speaker

Presentation (Link)

1 PM CETSetup video conferencing


Welcome message & Agenda Orange


5 Breakthroughs to scale ML beyond the limits of experimentsJamil Chawki, Orange


Trusted AI principles RREPEATSFrançois Jezequel & Souad Ouali, Orange


LF AI & Data Updates and the Road AheadIbrahim Haddad, LF


A visual and scalable DL component library for Trusted AIRomeo Kienzler, CTO and Chief Data Scientist, STSM | IBM


Open source for Advancing Education in AI Technology & BusinessTawhid Chtioui, AIvancity School 


RosaeNLG, an LF AI & Data Sandbox projectLudan Stoecklé, Founder of RosaeNLG


Accelerating AI maturity with MLOps,  François Tillerot, Orange


Datashim, an LF AI & Data project to accelerate data access for Kubernetes/Openshift workloads, Yiannis Gkoufas, IBM


Why ONNX Runtime matters for deploying AI in Institution, Xavier Tao, Data Engineer, Banque De France


ITU's AI ActivitiesDr Bilel Jamoussi, Chief, Study Groups Department, ITU

Planning Meeting Notes

Orange and the LF AI & Data Foundation are pleased to welcome you at the LF AI & Data Day* EU Virtual – June 10, 2021 event. The event will be hosted online via Zoom video conferencing. This event will feature keynote speakers from leading operators and AI industry with a focus on open source strategies for scaling machine learning and deep learning. During this event, various AI topics will be covered, including technical presentations on  MLOps, Trusted AI and new LF AI & Data projects.