Intuit Israel is inviting you to the annual

Women in Data Science
Conference - WiDS TLV

Women in Data
Science Conference -

June 3rd, 2024 | 9:00-16:00

Sheva Convention Center – Tel Aviv

About the Conference

For the 7th year in a row, Intuit Israel is proud to bring the international, Stanford University-initiated Women in Data Science (WiDS) Conference to Tel Aviv.

We acknowledge that the past few months have been challenging for Israelis. The tragic events of October 7, along with the ongoing conflict in our region, have impacted many people. It’s been humbling to witness the resilience of Israeli society and its high-tech sector, which has continued to deliver results. With that in mind, and after careful consideration, we have decided to host our 7th WiDS TLV Conference in collaboration with the International Women in Data Science (WiDS) Conference.

The global Women in Data Science Conference aims to inspire and educate data scientists worldwide and support women in the field. This annual one-day technical conference provides an opportunity to hear about the latest data science related research and applications in a broad set of domains. All genders are invited to participate in the conference, which features exclusively female speakers.

The WiDS TLV 2024 event will take place at Sheva, 21 HaTsfira St., Tel Aviv, on April 15, 2024, from 9:00-16:00. It will feature illuminating technical talks and provide an opportunity to meet and connect in person. WiDS TLV is independently organized by Intuit Israel as part of the mission to increase participation of women in data science and to feature outstanding women doing outstanding work.

All proceeds from the event will benefit the Association of Rape Crisis Centers in Israel, a national nonprofit organization whose main aim is to combat sexual violence.


8:45 Reception
9:30 Opening remarks by WiDS TLV ambassadors Noah Eyal Altman, Or Basson, and Nitzan Gado
9:45 Dr. Aya Soffer, IBM: "Putting Generative AI to Work: What Have We Learned So Far?"
10:15 Prof. Reut Tsarfaty, Bar-llan University: "Will Hebrew Speakers Be Able to Use Generative AI in Their Native Tongue?"
10:45 Poster Pitches
10:55 Break
11:10 Lightning talks
12:30 Lunch & poster session
13:30 Roundtable session & poster session
14:15 Roundtable closing
14:30 Break
14:40 Naomi Ken Korem, Lightricks: "Mastering the Art of Generative Models: Training and Controlling Text-to-Video Models"
15:00 Dr. Yael Mathov, Intuit: "Surviving the AI-pocalypse: Your Guide to LLM Security"
15:20 Closing remarks
15:30 The end


Or Basson

Or is a Staff Data Scientist at Intuit, specializing in developing advanced fraud prevention models. As the Israeli Ambassador for Women in Data Science (WIDS), she is dedicated to empowering women and promoting diversity and equality in STEM fields.

Or is a proud graduate of the elite Mamram engineering course and has served for 7 years in the Intelligence Corps of the IDF.

She holds an MBA (graduated with honors) and a B.Sc. in Computer Science from The College of Management.

Noah Eyal Altman

Noah is a data science team lead at Intuit, where she leads a team of data scientists developing AI solutions for content moderation and CRM.

Additionally, Noah teaches data science and machine learning at Ben Gurion University of the Negev and speaks at various machine learning and data science conferences.

She holds an M.Sc. in Biotechnology Engineering and is currently pursuing her Ph.D. in Medical Science at Ben Gurion University of the Negev.

Nitzan Gado

Nitzan is a staff data scientist at Intuit, focusing on developing natural language processing algorithms and products, particularly LLMs (Large Language Models).

In her spare time, Nitzan mentors in the Finding Your Next Job program and is part of the Baot community. Additionally, she lectures on solving real-world problems with tools from linguistics and computer science.

Nitzan holds an M.Sc. in Computer Science and a B.Sc. in Computer Science and Linguistics from the Hebrew University of Jerusalem.


Aya Soffer

Dr. Aya Soffer

Putting Generative AI to Work: What Have We Learned So Far?
reut tzarfati

Prof. Reut Tsarfaty

Will Hebrew speakers be able to use generative AI in their native tongue?

Some Photos & Videos from Last Year's Event