Teradata enhances ModelOps for enterprise AI deployment

San Diego - Teradata (NYSE:TDC), a data analytics company with $1.7 billion in annual revenue and an impressive 60% gross margin, announced updates to its ClearScape Analytics ModelOps platform designed to streamline enterprise-scale AI deployment, according to a company press release. According to InvestingPro analysis, the company maintains a GOOD financial health score despite recent market challenges.

The enhanced platform now provides native support for open-source ONNX embedding models and cloud service provider LLM APIs from Azure OpenAI, Amazon Bedrock, and Google Gemini. The updates include improved LLMOps capabilities that allow models to be deployed, managed, and monitored without custom development. With the company’s earnings report due in 7 days, investors following Teradata on InvestingPro can access additional insights, including 8 more exclusive ProTips and comprehensive financial analysis.

The platform also introduces low-code AutoML capabilities aimed at business analysts and non-technical users, featuring a consistent interface across all tools to reduce learning curves and improve productivity.

"The reality is that organizations will use multiple AI models and providers — it’s not a question of if, but how, to manage that complexity effectively," said Sumeet Arora, Teradata’s Chief Product Officer.

Key features of the updated ModelOps platform include seamless integration with public LLM APIs, comprehensive LLM management and monitoring tools, streamlined deployment for ONNX embedding models, and low-code AutoML capabilities with intuitive interfaces.

The platform aims to address challenges organizations face when transitioning from AI experimentation to production, including fragmented workflows across different LLM providers and limited model interoperability.

The upgraded version of ModelOps is expected to be available in Q4 for AI Factory and VantageCloud, according to the company statement.

In other recent news, Teradata reported its Q1 2025 earnings, surpassing expectations with an EPS of $0.66, compared to the forecasted $0.57. However, the company’s revenue fell short, totaling $418 million against the anticipated $425.42 million. This earnings announcement was followed by a downgrade from Northland, which adjusted Teradata’s stock rating from Outperform to Market Perform and reduced the price target to $21. Northland’s analysts expressed concerns over Teradata’s annual recurring revenue and the potential impact of general artificial intelligence on analytics spending.

Additionally, Teradata has launched its open-source Teradata MCP Server - Community Edition, aimed at enhancing AI agents’ access to enterprise data. The new framework, built on Teradata’s Vantage platform, offers tools for data quality, security, and feature management. In a separate development, Teradata appointed Scot Rogers as Chief Administrative Officer, where he will manage worldwide legal and human resources operations. Rogers previously held executive roles at F5, Inc., bringing extensive experience in legal and compliance functions.

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Teradata enhances ModelOps for enterprise AI deployment

Teradata, a data analytics company, announced updates to its ClearScape Analytics ModelOps platform to streamline enterprise-scale AI deployment. The platform now supports open-source ONNX embedding models and cloud LLM APIs from Azure OpenAI, Amazon Bedrock, and Google Gemini. The company also reported Q1 2025 earnings exceeding expectations but fell short of revenue forecasts, leading to a stock rating downgrade. Teradata launched an open-source framework for AI agents and appointed Scot Rogers as Chief Administrative Officer.