Enterprise data often resides on-premises due to data gravity and regulatory requirements, while AI and ML development demand scalable cloud resources. Now, data teams no longer need to compromise between infrastructure. A hybrid approach allows organizations to leverage their existing on-prem data lakes while accessing cloud agility for tasks like model training and model development. Using Cloudera’s hybrid platform, data preparation c...

In this session, discover how to deploy scalable GenAI applications with NVIDIA NIM using the Cloudera AI Inference service. Learn how to manage and optimize AI workloads during the critical deployment phase of the AI lifecycle, focusing on Large Language Models (LLMs). Why You Should Attend:Understand how Cloudera AI Inference with NVIDIA enables scalable GenAI applications.Gain insights into the deployment phase of AI which is critical for o...

Explore how to accelerate AI innovation with Cloudera’s advanced tools and services. This introduces Accelerators for Machine Learning Projects (AMPs) and the AMP catalog, including contributions from Cloudera Engineering, Hugging Face, and the wider AI community. Learn how AMPs enable rapid, enterprise-ready GenAI app development. We will also demonstrate advanced techniques such as: improving Retrieval-Augmented Generation (RAG) output...

Discover how AI Assistants are transforming productivity and operational efficiency through Cloudera services. This session will demonstrate Cloudera's AI-powered tools, including the SQL AI Assistant, AI Visual in Cloudera Data Visualization, and Cloudera Copilot for Cloudera Machine Learning. Learn how these tools can simplify SQL query generation, enable conversational BI, and streamline data science workflows. Why You Should Attend:See AI...