Ortal Ashkenazi
Ortal Ashkenazi is a seasoned NLP researcher with over four years of experience at Gong, where she specialized in transforming data into actionable insights using advanced language models. Prior to that, she worked as a software engineer for 2.5 years at Algotec, developing information systems and processing solutions in the field of medical imaging. Holding an MSc from the Technion, her thesis focused on generating medical screening questionnaires by analyzing social media data, bridging artificial intelligence with practical healthcare solutions. Her expertise lies in model evaluation and deploying production-ready NLP solutions that address real-world challenges.
Sessions
Join us in this introductory lecture on Natural Language Processing (NLP). Delve into a captivating exploration of the key milestones that have shaped the advancement of NLP, highlighting its relevance and practical applications outside the NLP field. By providing a comprehensive overview of NLP's evolution, including notable developments, breakthroughs, and existing limitations, this lecture equips data scientists with a fundamental understanding of NLP's dynamic world. Discover the profound impact of NLP on the field of research and gain valuable insights to enhance your data analysis endeavors.