AI and the data to leverage it can often feel like a scattered mess for enterprises. Teradata wants to help them clean house.

On Thursday, Teradata unveiled the Teradata Autonomous Knowledge Platform, its new flagship product meant to unify different aspects of AI systems, including production-ready AI models, structured and unstructured data, and analytics, into a single system for “trusted, governed understanding.”

In practice, this platform is meant to give customers more insight into the cost and performance of AI systems with appropriate governance in place, giving organizations better control over their models and data — fulfilling a need that has only grown with the advent of AI agents. The platform spans across cloud, on-premise, and hybrid environments.

“Grounded in industry-specific data, semantics, and lineage, it provides the business context for agentic AI to sense, decide, and act reliably and repeatedly across systems and tools — with minimal human intervention — while learning and improving over time,” the company explains in the release.

The platform is also meant to help enterprises move from the pilot to production phase by giving companies clear insights into their AI operations to better inform decisions around deployment and improve outcomes. “Enterprises moving fastest are already driving 10× gains in speed, cost, and productivity," said Ray Wang, analyst at Constellation Research, in the release. “The ones falling behind are still running pilots. Breaking that cycle means a strong data foundation, outcomes-based AI, and real governance as a single system, not assembled from parts.”

The platform’s other new capabilities include:

• Teradata AI studio: An environment where all AI capabilities can be found and can be used for agentic analytics, model lifecycle management, etc. It is also available separately for organizations that want to build it into existing infrastructure.
• Tera Agents: Pre-built platform agents that can help with tasks such as cost optimization, including a sizing agent, telemetry agent, FinOps agent, tuning agent, and compute agent.
• Tera: Teradata's autonomous AI workspace that transforms natural language into enterprise-scale data intelligence.

The Teradata Autonomous Knowledge Platform is expected to be available in the third quarter of this year on Teradata Cloud, but Teradata AI Services and AI Studio are available now.

Our Deeper View

AI’s rapid ascent among enterprises has greatly stressed the significance of data, as it ultimately fuels and shapes how these models behave. But the importance of data goes beyond simply what goes into the models, but also their outputs and how they perform. At the enterprise level, it is extremely easy to burn through a lot of tokens (and therefore money) without explicitly seeing results. Ideally, better visibility into the data could help companies better understand what's working and what isn’t. Broadly, understanding this can help with cost and resource efficiency, something that’s vital as demand for AI outgrows the supply of compute.