Location History:
- Tel Aviv, IL (2012)
- Ramat Gan, IL (2013)
Company Filing History:
Years Active: 2012-2013
Title: Hila Lam: Innovator in Customer Interaction Technologies
Introduction
Hila Lam is a prominent inventor based in Ramat Gan, Israel. She has made significant contributions to the field of customer interaction technologies, holding 2 patents that showcase her innovative approach to solving complex problems in customer relationship management.
Latest Patents
One of Hila's latest patents is titled "Method and apparatus for predicting customer churn." This invention focuses on determining an interaction churn score by analyzing the interactions between customers and organizations. The method also includes a transactional churn score based on additional data, allowing for a comprehensive understanding of customer behavior. Furthermore, it features a retention offer mechanism aimed at improving customer retention rates.
Another notable patent is the "Method for speaker source classification." This invention classifies audio signals into agent and customer signals using both unsupervised and supervised training methods. The technology is designed to enhance the accuracy of audio signal classification, which is crucial for effective communication in customer service environments.
Career Highlights
Hila Lam is currently employed at Nice Systems Ltd., a company known for its innovative solutions in customer engagement and analytics. Her work at Nice Systems has allowed her to apply her inventive skills to real-world challenges, contributing to the company's reputation as a leader in the industry.
Collaborations
Hila collaborates with talented professionals such as Gil Dobry and Moshe Wasserblat. These partnerships have fostered a creative environment that encourages the development of cutting-edge technologies in customer interaction.
Conclusion
Hila Lam's contributions to the field of customer interaction technologies through her patents and work at Nice Systems Ltd. highlight her role as an influential inventor. Her innovative methods for predicting customer churn and classifying audio signals are paving the way for advancements in customer relationship management.