This talk will focus on how a strong customer data foundation is key to unlocking innovation and empowering developers to leverage the power of LLMs and build applications across web personalization, self-service marketing and pre-sales, support, or agent assistance. The generative capabilities of LLMs combined with personalization via golden user profiles can be a flywheel for powering 1:1 personalized customer engagement.
Utilizing Retrieval Augmented Generation (RAG), we can listen to the customer query and — based on the natural language message — only extracts the most relevant customer data to ingest into the LLM prompts. We will discuss some specific scalability and relevance related challenges of building a natural language interface on top of customer data. Finally, we’ll dive into specific applications where we leverage this natural language interface to the customer data platform to solve a number of personalization use cases.