Employees waste valuable time and struggle to deliver high-quality results due to fragmented tools and scattered information. Solve this challenge with Google Cloud's Vertex AI and build powerful employee assistants! These AI-powered tools empower knowledge workers to quickly find relevant information, summarize context, answer questions, and even generate content. Join our session to learn how Vertex AI simplifies AI development for various functions – including marketing, sales, finance, and more. Our platform offers a user-friendly developer environment, prebuilt components, and robust tools, ensuring rapid prototyping and quality management for your enterprise-grade AI applications.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

RAG (retrieval-augmented generation) systems ground generative AI models in your own data, ensuring factuality, relevance, and control in the performance of your enterprise applications. However, building a RAG system from scratch is complex. In this session we'll share how Vertex AI Search can serve as an out-of-the-box RAG system for enterprise applications, handling data management, embedding, indexing, and retrieval with minimal setup time. Follow along to see how you can build and deploy a RAG-powered app in minutes and hours.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.