Member of Technical Staff, eBay Inc, San Jose, California, USA

Title of the Talk:
Fuzzy Logic for Adaptive Messaging AI

Abstract of the Talk:
As AI-generated messaging becomes central to digital communication and customer engagement, ensuring adaptability, clarity, and personalization is key. This keynote explores the role of fuzzy logic as a powerful tool in building adaptive messaging systems—especially when integrated with large language models.

While neural networks excel at generating fluent text, they often struggle with context sensitivity, prioritization, and explainability. Fuzzy logic offers a lightweight, interpretable solution for modeling soft decisions, such as adjusting tone based on user engagement, detecting urgency, or triggering retention messages under uncertain conditions.

This talk will share practical design patterns where fuzzy inference rules help control message generation, improve customer experience, and enhance transparency in AI communication workflows. Attendees will gain insight into how soft computing principles can augment neural models and elevate messaging systems—creating AI that is not only intelligent, but adaptive, interpretable, and human-aware.

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