Teradata has introduced significant updates to its ClearScape Analytics platform, focusing on a unified ModelOps framework to streamline AI deployment. These enhancements simplify the transition from experimental AI to production-scale solutions, addressing the needs of organizations adopting agentic and generative AI technologies. The platform supports seamless integration with diverse AI models, empowers non-technical users, and ensures governance, enabling businesses to scale AI efficiently.
Quick Intel
Seamless Integration with Leading LLM APIs
The updated ModelOps platform enables organizations to connect effortlessly with major AI providers, including Azure OpenAI, Google Gemini, and Amazon Bedrock, supporting popular LLMs such as Anthropic and Mistral. This integration eliminates the need for custom development, offering flexibility in model selection. Administrators can manage external API-based models with features like observability, autoscaling, and usage analytics, ensuring optimal performance and cost efficiency.
Advanced LLMOps for Efficient Model Management
Teradata’s enhanced LLMOps capabilities allow rapid deployment of NVIDIA NIM LLMs into GPU environments with configuration-free workflows. Comprehensive LLM Model Cards provide transparency and monitoring, while full lifecycle management—covering deployment, versioning, and performance tracking—ensures robust governance. According to Sumeet Arora, Teradata’s Chief Product Officer, “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.”
Simplified ONNX Embedding Model Deployment
The platform offers native support for ONNX embedding models, streamlining the deployment of custom vector search models. This reduces engineering overhead and supports Bring-Your-Own-Model workflows, making it easier for organizations to implement tailored AI solutions without complex configurations.
Empowering Teams with Low-Code AutoML
ModelOps includes low-code AutoML tools, enabling business analysts and data scientists to build and monitor models with minimal reliance on machine learning specialists. The intuitive interface supports model training, evaluation, and deployment, with integrated telemetry and explainability tools fostering transparency and trust in AI outputs.
Unified User Experience for Enhanced Productivity
A consistent user interface across AutoML, Playground, Tables, and Datasets lowers the learning curve for AI teams. Guided wizards and an enhanced AI Workbench Playground improve usability, enabling both technical and non-technical users to collaborate effectively and accelerate AI adoption.
Teradata’s ModelOps platform addresses the challenges of fragmented AI workflows and complex governance, enabling organizations to scale trusted AI solutions. For example, a bank can leverage the platform to combine LLMs for sentiment analysis, embedding models for categorization, and AutoML for predictive insights, driving improved customer retention and satisfaction. By simplifying AI deployment and management, Teradata empowers businesses to unlock the full potential of their AI investments.
At Teradata, we believe that people thrive when empowered with trusted information. We offer the most complete cloud analytics and data platform for AI. By delivering harmonized data and trusted AI, we enable more confident decision-making, unlock faster innovation, and drive the impactful business results organizations need most.
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