Felix Wu

Felix Wu, PhD is a Research Scientist at ASAPP. He received his Ph.D. in Computer Science from Cornell University under the supervision of Prof. Kilian Q. Weinberger and his B.S. in Computer Science and Information Engineering from National Taiwan University. His research interest includes Machine Learning and its applications such as Natural Language Processing and Computer Vision. Recently, he is focusing on designing efficient neural models.

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Deflection isn’t the goal. Evaluate AI customer service use cases by resolution impact, operational fit, governance requirements, and rollout priority.

How mature AI governance transforms CX from risk control into a strategic advantage, and what it takes to reach autonomous, self-optimizing service operations.

For a decade, "contained" meant the bot handled it. It didn't. See the three beliefs CX leaders abandoned — and the agentic AI system vendors must now beat.

Architect voice AI for enterprise: understand the architecture required to deliver trustworthy voice experiences for customers at scale.

Explore real AI customer service examples and see how enterprises use platforms like ASAPP to automate support and scale operations.

Make sense of AI vendor claims. Learn the key questions CX leaders should ask to evaluate generative AI agents and find the right fit for their contact center.

Discover customer support AI software and learn how agentic platforms like ASAPP automate service end-to-end while improving CX and reducing cost.

Personalized AI greetings cut human agent requests by 10%. Learn why your voice bot's first sentence is losing you customers, and how to fix it.

Compare the best conversational AI agents for customer service and see platforms like ASAPP automate support across voice and digital channels.

This is how ASAPP Customer Experience Platform's coordinated AI agents continuously learns and improves, delivering 330% ROI for enterprise contact centers.

Learn how conversational AI powers customer service and how platforms like ASAPP automate interactions across voice and digital channels.

One bad AI interaction trains customers to demand a human agent. Here's the Human-in-the-Loop design that keeps customers engaged.

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