Conversational AI enables powerful and seamless access to data insights by allowing users to interact with complex datasets through natural language. Instead of relying on technical queries or dashboards, users can simply ask questions and receive clear, contextual answers in real time. This makes data exploration faster, more intuitive, and accessible to both technical and non-technical users.
Powerful analytics capabilities are enabled through end-to-end AI/ML pipelines, pre-configured notebooks, and integrated advanced features. These include in-database analytics that bring computation closer to the data, along with Agentic BI that automates insights, decision-making, and data workflows. Together, they streamline the entire analytics lifecycle—from data preparation to actionable intelligence—while reducing the need for heavy manual intervention.
The Vector Store UI simplifies working with unstructured data by providing an intuitive interface for the entire pipeline—from data ingestion and embedding generation to efficient search and retrieval. It allows users to seamlessly transform raw text, documents, or media into vector representations and quickly access relevant information. This enables faster knowledge discovery and powers advanced use cases like semantic search and AI-driven insights.
Achieve business impact with built-in AI capabilities
Tera is the autonomous AI-powered workspace within AI Studio. It enables data analysis and coding as well as complex objectives achieved with teams of coordinated agents. It provides a unified, agentic user experience that serves as the primary interaction layer for all Teradata AI capabilities.
Our Enterprise MCP provides a fast, secure, and context-rich foundation for connecting AI agents to trusted data and organizational knowledge. It ensures smooth integration across systems while maintaining strong governance and data security.
Our end-to-end agent functionality streamlines the entire agent lifecycle, from design and testing to deployment and monitoring. It includes Tera agents for platform tasks to manage query tuning, workload sizing, and compute execution decisions without human intervention.
Our open Python framework provides flexible, enterprise-grade compute designed specifically for data scientists and developers. It enables seamless use of powerful, open-source Python libraries such as Ray and the Arrow framework to build, scale, and optimize data-intensive applications.
From intelligent decisioning to automated execution, see how Teradata AI turns insight into action.
Harnessing multiple AI capabilities to create intelligence-driven protection
The rules of warfare are being rewritten by cost asymmetry. A main battle tank—representing $15 million in mobile firepower and crew protection—can now be neutralized by a $300 drone. This imbalance fundamentally favors attackers: cheap, disposable platforms against expensive, irreplaceable assets.
Using multiple capabilities, troops capture images of camouflaged assets and AI instantly assesses concealment effectiveness—delivering real-time guidance to improve survivability.
This closes the loop between detection risk and survivability, transforming a $15 million asset's defense to intelligence-driven protection.
AI agents, machine learning, and more combine to monitor customer behavior and provide financial advice.
The rules of financial security are being shaped by an advice gap. Fewer than one in ten adults ever receive independent professional financial advice, leaving the majority to make critical pension and savings decisions alone. Without scalable access to financial guidance, developed economies face growing pressure on public systems as private retirement outcomes continue to fall short.
The solution delivers a personal financial-advice agent to every banking customer. These AI agents continuously monitor customer behavior in real time, helping individuals to make better day-to-day financial decisions. Expert investment agents sit behind them, providing personalized, life-stage-appropriate investment recommendations. This innovation scales professional-grade financial advice—previously available to only the wealthiest 10%—to millions of customers.
Agentic AI provides optimal shipping routes to avoid congestion, potentially saving $120 billion per year.
90% of everything you buy — your phone, your clothes, the food on your table — traveled on a container ship at some point. But here's what most people don't know: the industry that moves all of this is still shockingly manual, and create problems that can cost billions.
This solution delivers an agentic approach to the problem of vessel re-routing. AI agents leverage machine learning and knowledge models to identify optimal routes that help avoid port congestion. Before executing any re-routing, the solution evaluates the potential impact on cost, schedule, and fuel consumption. These insights enable operators to make informed decisions before taking the final re-routing action.
Discover what best-in-class data connectivity and analytics can do for your enterprise.