Conversational AI vs generative AI: What's the difference?

Conversational AI and generative AI are distinct yet interconnected technologies, where generative AI serves as the foundational capability that powers conversational AI applications. Generative AI is designed to create new content, such as text, images, code, audio, and video, by learning patterns from large datasets, while conversational AI is focused on managing dialogues, understanding human language, tracking context, and resolving interactions. Modern conversational AI systems leverage generative AI, particularly large language models (LLMs), to handle reasoning and response generation, but they also incorporate additional elements like memory, dialogue management, and backend integrations to facilitate meaningful human interaction. Twilio's approach emphasizes providing the conversational infrastructure necessary for deploying generative AI in production settings, enabling functionalities such as real-time observability and AI-to-human handoffs. This integration is critical for applications like customer service, where maintaining context and managing interactions are essential for a reliable user experience.