Company Filing History:
2 out of 41 Years Active: 2024-2025
Title: Lev Haikin: Innovator in Conversation Analytics
Introduction
Lev Haikin is a prominent inventor based in Tel Aviv, Israel. He has made significant contributions to the field of conversation analytics, holding a total of 5 patents. His work focuses on enhancing the efficiency and effectiveness of contact centers through innovative methods and systems.
Latest Patents
One of Lev Haikin's latest patents is titled "Methods and systems for enhanced searching of conversation data and related analytics in a contact center." This patent describes a method for generating insights from conversation data derived from interactions in a contact center. The method involves determining an insight type, gathering relevant inputs, and utilizing a large language model (LLM) to generate output text that answers specific questions. The insights are then transformed into vector embeddings for efficient storage and retrieval.
Another notable patent is the "System and method for finetuning automated sentiment analysis." This invention outlines a process for improving automated sentiment classification using machine learning. It includes receiving a pretrained model, associating it with specific sites, and retraining the model based on annotated feedback to enhance its accuracy in classifying utterances according to sentiment classes.
Career Highlights
Lev Haikin is currently employed at Genesys Cloud Services, Inc., where he applies his expertise in conversation analytics. His innovative approaches have positioned him as a key player in the development of advanced solutions for contact centers.
Collaborations
Lev has collaborated with notable colleagues, including Eyal Orbach and Avraham Faizakof. Their combined efforts contribute to the advancement of technologies that improve customer interactions and data analysis.
Conclusion
Lev Haikin's contributions to conversation analytics and sentiment analysis demonstrate his commitment to innovation in the field. His patents reflect a deep understanding of technology and its application in enhancing customer service experiences.