Using AI/ML to Search a Knowledge Base

This research project aims to address the challenge of improving customer experience and satisfaction by providing quick, accurate, and efficient answers to their questions about Avid products and services. Avid’s extensive knowledge base (KB) serves as a valuable resource for customers; however, finding relevant information can be time-consuming and challenging. The proposed AI-powered virtual assistant aims to overcome this issue by leveraging state-of-the-art AI and ML technologies to answer customer queries using Avid’s KB.
The primary objective of this project is to develop a virtual assistant capable of providing relevant and accurate answers to customer questions throughout their journey with Avid products and services. Specific objectives include understanding Avid’s KB and customer needs, preparing data for semantic indexing, developing a semantic search system, integrating ChatGPT, implementing the virtual assistant into Avid Link, and monitoring and evaluating its performance. This project holds significant potential for enhancing the customer experience with Avid products and services, ultimately contributing to increased customer satisfaction and loyalty.

Faculty Supervisor:

Nizar Bouguila

Student:

Partner:

Avid Technologies

Discipline:

Computer science

Sector:

Information and cultural industries; Manufacturing

University:

Concordia University

Program: