The past three years in the tech industry, and for data scientists in particular, have been shaped by the rapid disruption introduced by large language models as everyday tools. While LLMs are no longer new, the pace of change continues: new models, new architectures, and evolving capabilities emerge almost daily.
In this round table, we will look for perspective within this ongoing transformation. Together, we will reflect on how the field has changed so far, discuss expectations for the future, and explore which skills and mindsets may remain essential as the technology (and our roles) continues to evolve, helping us find a professional center that allows us to approach this change with curiosity and inspiration rather than fear.
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.
Keynote session: Hadas Grossmon Ella
Break
Lightning talks session
Roundtable closing
Talk by Hila Paz
Talk by Dr. Moran Mizrahi
Closing remarks
End
