Key Notes
Planned Agenda
8:45 | Reception and Breakfast |
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9:30 | Opening words by Shir Meir Lador, Data Science team lead at Intuit |
9:45 | Key Note - Diane Chang - Making Chatbot Magic |
10:15 | Key Note - Chana Greene - Virtual Reality data to product Reality |
10:45 | Talk - Hagit Grushka-Cohen Simulating user activity for assessing the effect of sampling on DB activity monitoring anomaly Detection |
11:15 | Break |
11:30 | Talk - Inbar Naor - Lessons from building deep learning recommendation systems |
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12:00 | Talk - Hila Gonen - Gender Bias in Word Embeddings |
12:30 | Talk - Yonit Hoffman - Data to the Rescue! Predicting & Preventing Accidents at Sea |
13:00 | Lunch |
14:00 | Roundtable Discussions and Posters |
15:00 | Roundtable & Conference closure |
15:15 | Tutorial - Chae Young-Lee - Dealing with the Lack of Audio Data |
Planned Agenda
8:45 | Reception and Breakfast |
---|---|
9:30 | Opening words by Shir Meir Lador, Data Science team lead at Intuit |
9:45 | Key Note - Diane Chang - Making Chatbot Magic |
10:15 | Key Note - Chana Greene - Virtual Reality data to product Reality |
10:45 | Talk - Hagit Grushka-Cohen Simulating user activity for assessing the effect of sampling on DB activity monitoring anomaly Detection |
11:15 | Break |
11:30 | Talk - Inbar Naor - Lessons from building deep learning recommendation systems |
12:00 | Talk - Hila Gonen - Gender Bias in Word Embeddings |
12:30 | Talk - Yonit Hoffman - Data to the Rescue! Predicting & Preventing Accidents at Sea |
13:00 | Lunch |
14:00 | Roundtable Discussions and Posters |
15:00 | Roundtable & Conference closure |
15:15 | Tutorial - Chae Young-Lee - Dealing with the Lack of Audio Data |