Enabling AI Factories With Teradata and NVIDIA
As enterprises accelerate AI adoption, they're grappling with the technical reality that the growth of unstructured data will drive the need for billions of vectors and cost-effective solutions to store and analyze this data at scale. This technical revolution affects all customers, including those in highly regulated industries that require on-premises solutions to meet regulatory, compliance, and data sovereignty standards. For these customers—as well as those seeking tighter control over infrastructure costs—an on-premises AI factory solution is purpose-built to address their unique requirements.
View this live demo, where we'll show how Teradata and NVIDIA enable AI factories—purpose-built, on-premises AI solutions tailored for regulated industries and organizations that demand greater control, enhanced security, and cost predictability. See how an AI factory delivers a full-stack AI environment seamlessly integrating structured and unstructured data essential for powering generative AI, agentic AI, and Retrieval-Augmented Generation (RAG) applications.
See how to:
- Build end-to-end AI-powered analytics and AI-augmented use cases
- Execute secure RAG workflows
- Seamlessly deploy and manage AI models
Presenter(s):
Kevin Sturgeon
Director of Cloud Engineering Field Technology at Teradata
Kevin leads a global program focused on developing and delivering live demonstration assets that showcase Teradata’s technological and business benefits. His expertise includes cloud solutions, data and systems architecture, AI/ML, advanced analytics, and business outcomes.
Mike Riordan
Director of Product Management at Teradata
Mike Riordan is the Director of Product Management for Data Science and Analytics at Teradata. He specializes in leveraging data to drive business outcomes and integrating advanced analytics and AI solutions.