Meet the Autonomous Knowledge Platform

Many organizations struggle to move beyond AI pilots. Fragmented tools, disconnected data, and limited governance make it difficult to operationalize AI, scale agents, and deliver continuous, production-grade outcomes—all while AI and compute costs skyrocket with little return.

Teradata addresses this challenge with the Autonomous Knowledge Platform—bringing together data, AI, analytics, and governance into a single, unified system. At the center is AI Studio, where all personas interact with the platform to build, deploy, and scale agents and AI outcomes in a consistent, governed environment.

Watch the live demo replay to see how enterprises move from insight to action with a platform built for intelligence. Through persona-based workflows and functional demonstrations, you’ll see how users interact with a new agentic interface, how administrators manage deployments and resources, and how teams extend capabilities through an open, connected ecosystem.

In this demo, you’ll discover: 

  • How business users and technical teams interact with the agentic interface to explore data, build agents, and drive outcomes 
  • How admins deploy the platform, allocate resources, and govern access across users, agents, and workloads 
  • How agents and agentic tools are built, deployed, and managed at scale using a unified workspace 
  • How integrations with partner ecosystems (including external applications like Claude) extend capabilities while maintaining governance 
  • A deeper dive into AI Studio as the central environment for developing, operationalizing, and scaling AI outcomes across the enterprise 

Speakers include

Kevin Sturgeon
Kevin Sturgeon

Director, Cloud Engineering at Teradata

Kevin leads a global program focused on developing and delivering live demonstration assets that showcase Teradata’s cloud, data architecture, AI/ML, advanced analytics, and business‑outcome capabilities. His work equips customers with practical, scalable approaches to unify data, accelerate analytics, and operationalize AI across complex environments.

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