A Visionary Future with Enterprise GenAI

Kick off our Enterprise GenAI 5-part series with an overview of how GenAI empowers Cloudera customers to drive impactful business outcomes, and how Cloudera AI makes it easier for organizations to deploy and scale AI successfully. In this session, we’ll dive into the details behind powerful tools like Accelerators for Machine Learning Projects (AMPs), Cloudera AI Inference service, AI Assistants, and end-to-end GenAI platforms, all designed to accelerate your AI journey.

Explore how to deliver fresh data for contextualized large language model (LLM) responses by integrating Cloudera DataFlow into your GenAI pipeline. You will gain practical insights for building scalable data pipelines for Retrieval-Augmented Generation (RAG) by leveraging Cloudera’s data integration and AI capabilities for contextualized LLM responses.

Delve into the full AI lifecycle with Cloudera’s advanced tools and services designed to accelerate AI innovation. We will introduce Accelerators for Machine Learning Projects (AMPs) and the new AMP catalog, featuring contributions from Cloudera Engineering, Hugging Face, and the community. See how AMPs offer a structured, efficient approach to quickly develop and deploy enterprise-ready GenAI apps. Additionally, we will demonstrate advanced techniques such as improving Retrieval-Augmented Generation (RAG) output accuracy using a Knowledge Graph from Neo4j, creating drag-and-drop interfaces for easy PDF ingestion into the Llama index, and leveraging Cohere’s Command R model for enhanced performance. Join us to explore these powerful methods and learn more about enhancing your AI capabilities.