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Conversational AI: How Can We Use ChatGPT to Improve Our Data Science Product?
Data Science Team Lead – Diagnostic Robotics
Conversational AI: How Can We Use ChatGPT to Improve Our Data Science Product?
Data Science Team Lead – Diagnostic Robotics
Noa is a machine learning team lead at Diagnostic Robotics and Lecturer at Y-data. Noa previously worked at Amazon, NASA, Elbit Systems and the Israeli Aerospace Industry.
With a Computer Science Master’s degree from Bar-Ilan University (Magna Cum Laude), Prof. Yoav Goldberg advised Noa’s NLP thesis. Noa also has an
Electrical Engineering Bachelor’s degree from the Technion (Summa Cum Laude).
Noa is a machine learning team lead at Diagnostic Robotics and Lecturer at Y-data. Noa previously worked at Amazon, NASA, Elbit Systems and the Israeli Aerospace Industry.
With a Computer Science Master’s degree from Bar-Ilan University (Magna Cum Laude), Prof. Yoav Goldberg advised Noa’s NLP thesis. Noa also has an
Electrical Engineering Bachelor’s degree from the Technion (Summa Cum Laude).
Think about your last good conversation with a friend. What made it so comfortable? What made it feel fun, helpful or meaningful? These are some of the questions that the field of conversational AI is trying to solve. The latest notable attempt to solve this problem was with chatGPT by OpenAI.
In this roundtable, we’ll talk about the technology behind these new language models, look at great and awful examples from chatGPT, and brainstorm how we can use this technology in our workplaces.
Think about your last good conversation with a friend. What made it so comfortable? What made it feel fun, helpful or meaningful? These are some of the questions that the field of conversational AI is trying to solve. The latest notable attempt to solve this problem was with chatGPT by OpenAI.
In this roundtable, we’ll talk about the technology behind these new language models, look at great and awful examples from chatGPT, and brainstorm how we can use this technology in our workplaces.
| 8:45 | Reception |
|---|---|
| 9:30 | Opening words by WiDS TLV ambassador Nitzan Gado and by Lily Ben Ami, CEO of the Michal Sela Forum |
| 9:50 | Prof. Bracha Shapira – Data Challenges in Recommender Systems Research: Insights from Bundle Recommendation |
| 10:20 | Juan Liu – Accounting Automation: Making Accounting Easier So That People Can Forget About It |
| 10:50 | Break |
| 11:00 | Lightning talks |
| 12:20 | Lunch & poster session |
|---|---|
| 13:20 | Roundtable session & poster session |
| 14:05 | Roundtable closure |
| 14:20 | Break |
| 14:30 | Merav Mofaz – “Every Breath You Take and Every Move You Make…I'll Be Watching You:” The Sensitive Side of Smartwatches |
| 14:50 | Reut Yaniv – Ad Serving in the Online Geo Space Along Routes |
| 15:10 | Rachel Wities - It’s Not Just the Doctor’s Handwriting: Challenges and Opportunities in Healthcare NLP |
| 15:30 | Closing remarks |
| 15:40 | End |
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