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To be updated by event committee. Template Event /Meeting PageWiki
Event Details
Event Website: https://events.linuxfoundation.org/events/lfaiday-paris-2019/
Please submit any questions about this event to: outreach-committee@lists.lfai.foundation
Event Committee Lead: Jamil Chawki, Orange
Date: 16 September
Time: 9 am to 4 pm
Location: Paris-Châtillons, France
Venue: Orange Gardens, 44 Avenue de la République, 92320 Châtillon, France
Zoom meeting session recording: N/A
Register or RSVP for event here: https://events.linuxfoundation.org/events/lfaiday-paris-2019/register/
Visa Letter Request Process: https://events.linuxfoundation.org/visa-request/
Recommended Airport:
Two area airports provide service to Châtillon, France.
- Charles de Gaulle Airport (CDG) is a 40 minute drive from Châtillon
- Orly Airport – Aéroport de Paris-Orly (ORY) is a 20 minute drive from Châtillon
Recommended Area Hotel(s):
- Mercure Paris Malakoff Parc des Expositions
- Ibis budget Châtillon Paris Ouest
- Ibis Paris Porte de Vanves Parc des Expositions
Transportation Options:
- Métro line 13 : Châtillon-Montrouge
- T6 : Centre de Châtillon
- 388 bus: République-Liberté, Liberté, Rue Froide
Guest Parking Available: To be confirmed
Security Access: ID card or passport
Guest Wifi: To be confirmed
Event Planning
Meeting planning notes at bottom of page.
Key Event Tasks and Deadlines:
To Do | Due Date | Completed | Owner | Notes |
| Preparation of event Announcement |
| x | Jamil & Jacqueline | https://events.linuxfoundation.org/events/lfaiday-paris-2019/ |
| Registration link |
| x | Jacqueline & Ibrahim | https://events.linuxfoundation.org/events/lfaiday-paris-2019/register/ |
| Draft Agenda & Blog post |
| x | Jamil | https://lfai.foundation/blog/2019/08/12/registration-for-lf-ai-day-paris/ |
| Final Agenda |
| x | Jamil | |
| Final AV Needs & Food and/or Beverage Sélections |
| x | Jamil & Ibrahim |
Meeting Content
Please post agenda here.
Time | Topic | Speaker | Presentation (Link) | ||||||||||||||||||||||||||||||
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8:30-9:10 | Registration & Agenda |
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| 9:10-9:30 | Welcome message | Nicolas Demassieux SVP, Orange Labs Research | |||||||||||||||||||||||||||||||
| 9:30-9:50 | Building Sustainable Open Source AI Ecosystem | Ibrahim Haddad, Executive Director, LF AI Foundation |
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| 9:50-10:20 | Orange AI activities | Steve Jarrett VP, Orange Data & AI | |||||||||||||||||||||||||||||||
| 10:20-10:50 | NTT's Challenges of AI for Innovative Network Operation | Masakatsu Fujiwara, Project Manager, NTT Network Technology Laboratories |
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| 11:10-11:40 | Acumos AI – Platform Overview, Releases and Use Cases | Anwar Aftab, Director, Inventive Science, AT&T Labs |
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| 11:40-12:00 | We make AI accessible | Jamil Chawki, Intrapreneur-CEO Orange AI Marketplace |
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| 12:00-12:30 | Trusted AI - Reproducible, Unbiased and Robust AI Pipelines using OpenSource | Dr. Margriet Groenendijk, Data Scientist, IBM Center for Open Source Data and AI Technologies |
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| 12:30-13:00 | Activities in LF AI and Acumos | Sahar Tahvili, PhD. Lead Data Scientist, Global AI Accelerator, Ericsson |
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| 14:00- 14:40 | Orange AI Marketplace demonstration | Philippe Dooze, Project Technical Lead Orange Labs Networks | |||||||||||||||||||||||||||||||
| 14:40-15:10 | Open Source AI strategy | Philippe Carré, Program Manager, Nokia Bell-Labs |
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| 15:10-16:00 | Startups Panel discussion, Barriers for AI development | François Tillerot, Intrapreneur-CMO, Orange AI Marketplace:
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| 16:20-16:30 | Open discussion and Closing session |
Event Photos
Meeting Notes
3 Challenges for LF AI
- Control the « AI Economics » (ROI optimization & Risk management when introducing AI Model)
- Speed-up the development of end to end AI tools and the interoperability with Enterprise Data Lake
- Setting up guidelines for Trusted & Fairness «AI»
Several types of barriers were highlighted by the panelists
- Why to introduce AI - Difficulty to describe an AI use case and translate business benefit, not clear ROI.
-> Supporting customers in their strategy to introduce AI and build ROI can tackle this issue - Project Technical or HR (skills) issues - Multiple environment/tools constrain End to End Solution, lack of talent/skills in companies, difficulty to deploy and scale.
-> Open source solutions, in particular LF AI and Acumos AI project will facilitate mutualized approaches and multi-skills collaboration to workaround - Readiness (technical or mindset) - Data supply chain not ready, lack of trust
-> trustful AI approaches and better awareness in AI capabilities (also avoiding “overselling” AI) are potential solutions to tackle this.