5 November 2018

33 Thomas Street
AT&T Long Lines Building
New York, New York

Register Now!Register to Attend Virtually

LF Deep Learning Foundation’s Platform For Harmonizing Machine Learning Tools and AI Microservices

Join us for a technical community discussion of the Acumos AI Project and how Acumos can be used by model developers and IT professionals to deliver machine learning solutions via a secure marketplace.

This 1-day event will precede the upcoming new release of Acumos AI, the first public release of a project of the LF Deep Learning Foundation. The day will feature demonstrations and discussions of the Acumos Marketplace, a review of Acumos platform components, a panel discussion of the priorities and future direction of the platform in upcoming releases, a presentation on how to plan, build, onboard and deploy AI models and much more.  Don’t miss the opportunity to meet with fellow community members and help define the project roadmap!

PLEASE NOTE: Registration and space are limited. Only 5 participants per company and the first 75 attendees that register will be accepted.

*A $50 no-show fee will apply to all cancellations made after Friday, October 19, 11:59 PM EST, as well as to anyone that does not show-up onsite for the event. A method of payment will be required upon registration, but will only be charged post-event for either of the aforementioned reasons.

 

Agenda of Day: subject to change

8:30 AM  – 9:00 AM: Registration and Breakfast (Sponsored by TechMahindra)

9:00 AM – 9:15 AM: Welcome (Mazin Gilbert, AT&T)

9:15 AM – 9:30 AM: Kickoff & Intro to LF DL (Scott Nicholas, Linux Foundation)

9:30 AM – 10:00 AM: Keynote: AI Open Source Technologies – Today & Tomorrow (Susan Malaika, IBM)

10:00 AM – 10:20 AM: Acumos Marketplace (Manoop Talasila and Farheen Cefalu, AT&T )

10:20 AM – 10:35 AM: Break

10:35 AM – 10:55 AM: On-boarding Models In Acumos (Paul Triantafyllou, AT&T)

10:55 AM – 11:15 AM: Publishing and Deploying Models with Acumos (Guy Jacobson, AT&T)

11:15 AM  – 11:35 AM: Composing Models with Acumos Design Studio (Kazi Farooqui, AT&T)

11:35 AM – 11:55 AM: Acumos Architecture – Athena (S. Anwar Aftab, AT&T)

11:55 AM – 12:05 PM: Q&A

12:05 PM – 1:05 PM: Lunch

1:05 PM – 1:50 PM: The Future of Acumos (Chris Volinsky, Jack Murray, Ofer Hermoni, Rajaram Balasubramanian)

1:50 PM – 2:20 PM: Acumos AI Challenge (Rhutvij Savant, Jinhe Shi, Yuhua Gong)

2:20 PM – 2:35 PM: Break

2:35 PM – 3:05 PM: Industry 2020: AI Transforming The Physical World  (Saar Yoskovitz, Augury)

3:05 PM – 3:35 PM: The Challenges in Harnessing Wearables, Machine Learning and Big Data Analytics for Better Care (Eran Ofir, Somatix)

3:35 PM – 4:05 PM: Assembling AI Pipelines with Acumos  (Gurudutt Hosangadi, Nokia)

4:05 PM – 4:35 PM: Beyond Artificial Neural Networks: Neuroscience Inspired AI (Nikhil Malhotra, Tech Mahindra)

4:35 PM – 4:55 PM: LFDL Project: Open Source Innovation in AI (Ofer Hermoni, Amdocs)

4:55 PM – 5:15 PM: Model and Data Industrialization and Commercialization Needs & Challenges: Making AI Real (Nimish Radia, Ericsson)

5:30 PM – 7:00 PM: Social Event at Tribeca Taphouse (Sponsored by Huawei)

 

Venue

AT&T Long Lines Building

33 Thomas Street, New York, NY 10007

 

HOTEL AND TRAVEL

Nearby Hotels

Reference Expedia or Kayak to view other hotels nearby or within commuting distance of the AT&T Long Lines Building in New York, NY.

 

Airport Information

Three area airports provide service to New York and it’s surrounding areas.

 

Public Transport

Stops close to the AT&T Long Lines Building:

  • Franklin Street: 1, 2
  • Chambers Street Station: 1, 2, 3
  • Chambers Street: A, C
  • Chambers Street: J
  • City Hall: R
  • Brooklyn Bridge City Hall Station: 4, 5, 6

SPONSORS

HOST SPONSOR

AT&T

BREAKFAST SPONSOR

Tech Mahindra

SOCIAL EVENT SPONSOR

Huawei