Meghan Mergui & Rotem Pinchover

Don’t Over-Fit Your Domain: Talking About Data Science with Non-Data Scientists
Meghan Mergu
Rotem Pinchover


Meghan was born and raised in Paris, made aliyah 8 years ago, and now lives with her husband and three kids in Ramat Gan. She likes doing Pilates, dance and training, baking, and spending time with friends and family. She joined Intuit one year ago, building bridges between data security and AI. She has an MSc in Industrial Engineering and Applied Mathematics from France and an MSc in Machine Learning and Data Science from the Technion. Her thesis was on Behavioral Economics and Data Science. During her MSc at the Technion, she started working at Data Science Consulting Group, a data science consulting company. Meghan started working at BigID, a startup that quickly became a unicorn, helping other companies to find and manage sensitive data for their clients.

Rotem is a Data Scientist with 5 years of experience building large-scale processes that support customers and drive measurable results. Skilled across various areas of data science, ranging from Advanced Prompt Engineering, Classical ML, and NLP. Holding an M.Sc. in Industrial Engineering and passionate about supporting various initiatives, including Women in Data Science and Forum 20-80.


The integration of machine learning models has become increasingly important in many industries. The implementation of these models, however, requires cross-functional teams to work together. However, some team members may have hesitations about adopting this new technology due to its unfamiliarity to them.

This roundtable discussion aims to explore strategies to help teams embrace the change of machine learning models and help them feel more confident and connected about it. The purpose of this roundtable discussion is to share success stories, challenges, and best practices for integrating machine learning models into projects with cross-functional teams.

Roundtable participants will explore methodologies for building relationships with other teams, fostering collaboration, and building trust. We will also discuss how to keep teams engaged and motivated throughout the integration process. We will share ideas on how to communicate the value of machine learning models to non-technical stakeholders and how to demystify the complexity of the models for those with limited technical knowledge.

In summary, our roundtable discussion will provide a forum for sharing ideas, successes, and challenges around implementing machine learning models in cross-functional teams and offer strategies for fostering collaboration, building trust, and keeping teams engaged and motivated. Our goal is to help other teams embrace the change and feel more confident and connected about integrating these models into their projects.


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 Break
11:00 Lightning talks
12:20 Lunch & poster session
13:20 Roundtable session & poster session
14:05 Roundtable closing
14:20 Break
14:30 Dr. Orna Amir & Hila Kantor, Google: "A User-Centric Framework for Quantifying Notification Harm"
14:50 Naomi Ken Korem, Lightricks: "Mastering the Art of Generative Models: Training and Controlling Text-to-Video Models"
15:10 Dr. Yael Mathov, Intuit: "Surviving the AI-pocalypse: Your Guide to LLM Security"
15:30 Closing remarks
15:40 The end

WiDS TLV important update

Dear WiDS TLV attendees,

In light of recent developments, we regret to inform you that the WIDS TLV 2024 event scheduled for tomorrow has been postponed to June 3rd, 2024. We apologize for this last-minute change and look forward to seeing all of you on June 3rd.