Video description
Uber has implemented an ML and NLP system that suggests the most likely solutions to a ticket to its customer support representatives, making them faster and more accurate while providing a better user experience. Piero Molino, Huaixiu Zheng, and Yi-Chia Wang describe how Uber built the system with traditional and deep learning models and share the lessons learned along the way.
Product information
- Title: How Uber used natural language processing and deep learning to improve customer service satisfaction
- Author(s):
- Release date: August 2019
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 0636920421870
You might also like
video
How Wells Fargo uses AI and natural language processing in chatbots to interact with customers
Chatbots are having a moment, and banks across the world are utilizing them for everything from …
book
Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing
Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical …
video
How Verint is designing AI strategies and utilizing data for increased ROI
AI is transformative for business, but it’s not magic; it’s data. Joe Dumoulin shares how Next …
video
Artificial intelligence on human behavior: New insights into customer segmentation
Brands, marketers, and product designers need to understand their customers. Traditionally, market research was driven by …
