Ortal Ashkenazi
Ortal Ashkenazi is a Data Scientist at Wix, specializing in natural language processing and applied machine learning. She enjoys turning messy, human language into structured, useful insights — bridging the gap between raw data and real-world decisions. With an MSc from the Technion, she combines academic depth with hands-on product thinking to build AI tools that people actually use.
Session
Today, the key skill isn’t mastering every line of code - it’s keeping up. This talk shows how understanding core concepts, using AI tools, and writing effective prompts can accelerate learning and development in a fast-moving AI landscape.
The use case will be demonstrated using LangChain and LangGraph LLM frameworks, via Cursor as the IDE with native LLM infrastructure.