Generative AI promises a new era of human-AI collaboration, but fresh data is key to unlocking its true potential
Consider a virtual shopping assistant that makes personalized product recommendations or an airline chatbot that provides flight status and booking options based on flight, crew, and passenger information. Without context, trustworthiness or real-time data applicability, large language models (LLMs) can’t drive meaningful value.
Today's enterprise data architectures limit AI's potential for fast, informed decision-making. Outdated, batch-based data integration methods result in stale, poorly governed data that hampers innovation and slows AI advancement. Solving this problem is key to unleashing the full power of real-time AI.
This solution brief dives into how to integrate LLMs with Confluent and Vertex AI to create a powerful, end-to-end solution for real-time data processing and actionable insights for Generative AI.