Sivan Biham
Sivan is a Machine Learning Researcher with experience in Computer Vision, Reinforcement Learning and Deep Learning among others. Currently, she is the Head of Research at Healthy.io, where she leads the algorithmic aspects of several healthcare-related products in various medical domains.
Sivan's academic background includes an M.Sc. in Computer Science from the Weizmann Institute, with a focus on Computer Vision and Deep Learning, as well as a B.Sc. in Computer Science and Neuroscience from Bar Ilan University.
She is enthusiastic about using her skills and knowledge to improve people’s health and life.
Sivan always strives to expand her knowledge and leveraging her expertise to make meaningful contributions.
Outside of work, she enjoys running and practicing yoga in her spare time.
Feel free to reach out if you’d like to connect or collaborate.
Head of Research
Your company –Session
In modern data-driven organizations, the ability to quickly access and analyze data is key to making informed decisions. However, querying databases often requires specialized SQL skills, which limits access to technical teams and increases the development cycle for data insights. In this talk, we will explore how Text-to-SQL technologies can dramatically enhance team productivity by shortening query development time. In this talk, I will share practical ways to implement Text-to-SQL for your own database, starting with the basics and improving results using prompt engineering techniques and database structure representation. By democratizing data access and improving cross-functional collaboration, Text-to-SQL can reduce bottlenecks, speed up decision-making, and enhance overall organizational efficiency.