Generative AI use cases

Generative AI can support customer service agents by enabling them to quickly synthesize answers from internal knowledge bases and external references, as well as summarize conversations to quickly resolve issues. Analysts can easily view call center and customer analytics with predictive models, enabling them to personalize a customer’s experience. To improve deflection rates, organizations can use gen AI to auto-generate FAQ responses and enhance their websites with multimodal search and content summarization.

Generative AI revolutionizes how media companies can help consumers find relevant content to satisfy their in-the-moment needs. Watch the demo to see how Vertex AI Agent Builder capabilities work together to improve the media content discovery journey. Using conversational interactions, consumers can receive highly personalized content and service recommendations, including music, video, and blogs.

The content discovery solution uses Vertex AI Agent Builder as its core component, in addition to Vertex AI LLM. Vertex AI Agent Builder enables developers to rapidly build and deploy chatbots and search applications. With step-by-step orchestration tools, even developers with limited technical skills can build and deploy gen apps in minutes. 

Simplify how products are onboarded, categorized, labeled for search, and marketed with generative AI. Learn how Vision AI, Vertex AI Embeddings, Vertex AI Matching Engine, and Vertex AI Studio help retailers generate detailed product attributes for new SKUs, map them to existing product hierarchies, and create detailed product descriptions.

The Vertex AI Matching Engine provides a powerful way of matching unstructured data (images, text, and more) to semantically similar items. The Vertex AI Embedding Extractor makes extracting embeddings fast and easy and can be used for use cases like searching images by text, or searching text by images. Using Vertex AI Studio, you can test and customize Google's LLMs, in addition to designing and testing your own prompts.

Deliver personalized marketing content to target audiences fast and at low cost with generative AI. See how Vertex AI Studio accelerates creative workflows by rapidly generating images and text for advertisements, social media, website content, emails, and more. 

Extract and summarize valuable information from complex documents, such as 10-K forms, research papers, third-party news services, and financial reports—with a click of a button. Watch how Vertex AI Search uses natural language to understand semantic queries, offer summarized responses, and provide follow-up questions in this demo.

With generative AI support in Vertex AI, enterprises can tune Codey, a family of code models, using their own code base. The ability to customize these models helps you generate code that complies with established coding standards and conventions while leveraging custom endpoints and proprietary codebases for code generation tasks. We are also excited to share with you that Gemini for Google Cloud is here. Gemini for Google Cloud is a new generation of AI assistants for developers, Google Cloud services, and applications. These assist users in working and coding more effectively, gaining deeper data insights, navigating security challenges, and more.