AI, NMT, ML: What’s Hype and What’s Actionable?

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AI, NMT, ML: What’s Hype and What’s Actionable?
Track: TAUS | TS3 |   Intermediate |
Wednesday, June 12, 2019, 2:45pm – 4:00pm
Held in: Room F5-7
Presenters:
Wayne Bourland - Dell EMC 
Robert Shaw - OpenTable 
Sarah Weldon - Google 
Lorna Whelan - TripAdvisor
Host: Olga Beregovaya

In this panel discussion several industry practitioners will discuss their experience with implementing next-generation machine learning (ML) and machine translation (MT) technology in their content life cycle — the learnings, the findings, the vision for the future and the requirements that are yet to be addressed by the research and development community. We’ll also learn about the role ML plays in training customized models for vision, classification and machine translation.

Takeaways: The attendees will learn about different implementation scenarios, successes and pain points, “asks” and future vision and also research and development plans from the developers’ perspective. They will also learn about ML and AI applications outside of the text universe, that of vision and multimedia