Tue 17 January 2023 | 6:00 pm - 9:00 pm
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Does your business handle images, comments, product descriptions, ads, or other content that needs to be moderated? Join us to learn from unique content moderation cases. Find out how companies in e-commerce and ad tech build multilingual, large-scale, efficient moderation projects with ML and human expertise.
This meetup will be relevant to ML engineers, ML researchers, data scientists, and anyone who interacts with AI. Content is geared toward an audience with an intermediate level of experience in ML.
Schedule:
18:00-18:30 – Gathering and Refreshments
18:30 – 19:00 – Item moderation and data multi-labeling for e-commerce
19:00 – 19:30 – AI content moderation: the truth is out there
19:30 – 19:45 – Break
19:45-20:30 – Panel discussion
Agenda:
Talk 1: Item moderation and data multi-labeling for e-commerce
Elena Gruntova, Product Director, AliExpress
In this talk, delivered jointly by Toloka, a global data labeling platform, and AliExpress, a multinational e-commerce marketplace, we will present a practical use case focusing on high-quality multilingual data annotation at an industrial scale. Lena Gruntova, the product director at AliExpress, will share their experience in setting up data annotation processes for search relevance, object matching, and localization.
Talk 2: AI content moderation: the truth is out there
Gal Cohen, Product Manager, Taboola
As a leading content recommendation platform, we at Taboola face many unexpected challenges. The journey for finding the “ground truth” is full of twists, engineering problems and of course – the human factor.In this talk we will unveil some of the surprising, shocking and quite frankly – weird use cases we see here in Taboola.
Panel discussion about moderation
Representatives from Taboola, AliExpress, Booking.com and Toloka will answer questions.
Gal Cohen, Product Manager, Taboola
Elena Gruntova, Product Director, AliExpress
Moran Beladev, Machine Learning Manager, Booking.com
Olga Megorskaya, CEO, Toloka
Location: Taboola, Zeev Jabutinsky 2, Ramat Gan
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