Roundtables

* Seats are limited

Liat Ben Porat

Liat Ben Porat

Customer-driven AI: Making Sure Your Model Suits Your Customer Needs

Intuit

Inbal Horev

Data Science Workflows

Gong

Adi Zicher (Kadoche)

Adi Zicher (Kadoche)

Critical Decisions Using Data Science in Production

 

Noa Weiss

Noa Weiss

Data Science Street Smarts: Navigating the Sea of Information

Freelance Data Scientist

Bella Fadida-Specktor

Developing Robust Deep Learning Solutions when Annotations are Scarce

Hebrew University & AIFortify

Irit Opher & Rachel Lemberg

How to Avoid ‘Re-inventing the Wheel’ Syndrome in Data Science

Microsoft

Aviv Ben Arie

Aviv Ben Arie

Leveraging Domain Knowledge While Shifting Towards ML Centric Solutions

PayPal

Talia Tron

Talia Tron & Miriam Manevitz

Practical AI Ethics – From Words to Actions

Intuit

 

Inbal Gilead

Inbal Gilead & Inbal Budowski-Tal

Delivering Certainty While Working With The Uncertain // Productization of Data Science Teams EverCompliant
Lital Kuchy

Lital Kuchy

From One-Hot Encoding to BERT

Technion

Or Basson
Sheer Dangoor

Or Basson & Sheer Dangoor

Keeping the Code Clean for a Data Scientist

Intuit

Katya

Maya Maimon & Katya shelenkova

Learning Models Privacy

NEC

Planned Agenda

Planned Agenda