DR. Inbal Budowski-Tal

The secret ingredients of a great PoC

DR. Inbal Budowski-Tal

DR. Inbal Budowski-Tal

The secret ingredients of a great PoC

DR. Inbal Budowski-Tal

Bio

Dr. Inbal Budowski-Tal Has the Senior Director of Machine Learning at Pendo, a unicorn leading startup in Digital Adoption. Inbal is leading the ML strategy at Pendo, and her team is developing the recently announced Simon platform, Pendo’s powerful ML engine. Before Pendo Inbal worked as the Director of AI at Evers, as Head of Data Science at BiomX, and as a researcher at Microsoft. Inbal has completed her Ph.D. in Computer Science at the Technion and the University of Haifa. She was a pioneer in applying Machine Learning to create smart search engines for protein structures. She won the prestigious Google Anita Borg award and the Israeli Minister of Science Scholarship during her studies.

 

Bio

Dr. Inbal Budowski-Tal Has the Senior Director of Machine Learning at Pendo, a unicorn leading startup in Digital Adoption. Inbal is leading the ML strategy at Pendo, and her team is developing the recently announced Simon platform, Pendo’s powerful ML engine. Before Pendo Inbal worked as the Director of AI at Evers, as Head of Data Science at BiomX, and as a researcher at Microsoft. Inbal has completed her Ph.D. in Computer Science at the Technion and the University of Haifa. She was a pioneer in applying Machine Learning to create smart search engines for protein structures. She won the prestigious Google Anita Borg award and the Israeli Minister of Science Scholarship during her studies.

Abstract

The very beginning of every ML project is a PoC. It is the stage that will determine if this project continues or terminates. In this roundtable, we will discuss how to approach and plan the PoC, what are the less-spoken goals of it, and how to make it insightful and impactful.

Abstract

The very beginning of every ML project is a PoC. It is the stage that will determine if this project continues or terminates. In this roundtable, we will discuss how to approach and plan the PoC, what are the less-spoken goals of it, and how to make it insightful and impactful.

Planned Agenda

8:45 Reception
9:30 Opening words by WiDS TLV ambassadors Or Basson and Noah Eyal Altman
9:40 Dr. Kira Radinski - Learning to predict the future of healthcare
10:10 Prof. Yonina Eldar - Model-Based Deep Learning: Applications to Imaging and Communications
10:40 Break
10:50 Lightning talks
12:20 Lunch & Poster session
13:20 Roundtable session & Poster session
14:05 Roundtable closure
14:20 Break
14:30 Dr. Anna Levant - 3D Metrology: Seeing the Unseen
15:00 Aviv Ben-Arie - Counterfactual Explanations: The Future of Explainable AI?
15:30 Closing remarks
15:40 End