Teradata Launches AI-Powered Customer Intelligence

Businesses seeking to transform customer data into immediate, intelligent action now have a powerful new tool at their disposal. Teradata has officially launched its Autonomous Customer Intelligence platform, a comprehensive software and services offering engineered to convert raw data and customer signals into context-aware, real-time actions on a massive scale. This system embeds intelligent agents throughout the entire data lifecycle, from building data products to detecting signals and activating autonomous responses across hybrid cloud environments. Crucially, these agents are powered by over forty years of Teradata’s intellectual property and industry-specific knowledge, allowing customers to accelerate their return on AI investment while deploying enterprise-grade autonomous intelligence.

To support this ambitious vision, Teradata is introducing new AI Services that leverage its deep experience in enterprise deployments. Organizations can begin with a Customer Intelligence Maturity workshop designed to pinpoint gaps in their current strategies. This diagnostic process outlines the specific Teradata AI Services that can address their unique challenges.

Recent market research underscores the urgency of such solutions. A new U.S. survey found that a majority of organizations plan to increase their customer experience investments, with 61% boosting spending on both general CX initiatives and AI-specific programs this year.

Many companies discover that generic AI agents fail to deliver meaningful results for enterprises with highly refined, proprietary processes. The most effective agents function as natural extensions of the enterprise data platform and its broader knowledge ecosystem. Starting with the agent itself often leads to failure because a robust, integrated data foundation is the most difficult yet critical component, especially when autonomous systems are making customer-level decisions. Teradata’s integrated methodology, supported by its AI Services, distinguishes its offering by converting decades of industry IP into AI models that empower agents to act intelligently on raw data at an enterprise scale.

Reflecting on the market’s direction, Teradata’s Chief Product Officer noted that 77% of organizations are considering agentic AI to enhance and automate CX functions. He emphasized that while the vision is clear, activating customer data signals across marketing, service, and product functions, success hinges on industry-specific nuance. It is here that Teradata’s extensive experience turns complex data challenges into distinct competitive advantages.

The platform’s first agentic offering focuses on Customer Lifetime Value (CLV). While traditional AI models predict CLV, Autonomous Customer Intelligence proactively works to increase that value. It uses real-time, customer-specific signals, even across tens of millions of data points, to help organizations better engage, retain, and grow their most valuable relationships. Agent decision-making continuously improves through access to rich business context and a signal-driven architecture.

Companies ready to embrace this approach rely on AI-ready data products and scalable models to detect signals, personalize experiences, and guide decisions with remarkable speed and precision. They require platforms capable of managing both extreme data complexity and the operational simplicity that agentic AI demands.

Teradata meets this need with an end-to-end suite of products and services built around its Customer Intelligence Framework. The goal is not merely to know the customer, but to architect the entire business to act intelligently and autonomously on that knowledge.

Teradata’s AI Services facilitate the enterprise-scale deployment of this framework while ensuring robust security, governance, and predictable costs. Expert teams handle data engineering and pipeline management, deploy essential AI support capabilities like Enterprise Vector Store and ModelOps, and manage integration and development for agents. This includes tools like AgentBuilder and MCP server, all operating within a structured data governance model designed to deliver trusted, secure outcomes.

The framework itself is composed of several key, interconnected components:

Data products serve as the foundational layer. These are reusable, AI-ready assets that systematically organize customer behavior, transactions, and interactions. Unlike static reports, they can be applied repeatedly to generate new insights without needing reconstruction. Built on fully integrated data and enabled by Teradata’s Industry Data Models and Analytic Schema, they support everything from a complete Customer 360 view to advanced AI and machine learning deployments.

The analytics layer is responsible for detecting patterns, predicting outcomes, and generating insights. Feature Engineering transforms raw data into meaningful signals for personalized engagement, while the Enterprise Vector Store offers scalable vector management for generative and agentic AI applications. ClearScape Analytics acts as the powerful in-database AI/ML engine for real-time intelligence, and the AI Workbench provides an integrated, secure environment for AI deployment.

Signals constitute the intelligence layer. These are unique, recognizable patterns within data that express customer context, behavior, or intent to trigger action. A single sophisticated signal can create value across multiple business functions, extracting operational leverage from data noise. The framework detects and scores customer behavior in real time, then seamlessly embeds these signals into business workflows for automated decision-making.

Agents introduce adaptability and automation, orchestrating decisions, interpreting intent, and activating intelligence instantly. This occurs across three layers: AgentBuilder for constructing and managing multi-agent systems; pre-configured Teradata Agents that use curated data and repeatable data products; and AI Applications that operationalize customer insight at scale, enabling agentic workflows through natural language interfaces.

Finally, AI for CX Use Case Solutions are packaged, ready-to-deploy offerings designed to enhance customer experience. When implemented within the Customer Intelligence Framework, they ensure rapid value realization and allow for the reuse of insights across different workflows.

The Autonomous Customer Intelligence platform is available now, with deployment optimally handled through Teradata’s AI Services. AgentBuilder capabilities will enter a private preview in the fourth quarter, and new Teradata Agents will be introduced to customers on an ongoing basis.

(Source: ITWire Australia)