New capabilities ease integration and deployment simply as organizations transfer from AI experimentation to trusted enterprise-scale manufacturing
Teradata (NYSE: TDC) at this time introduced ModelOps updates to ClearScape Analytics, streamlining the trail from analysis to manufacturing for Agentic AI and Generative AI use circumstances.
Teradata’s new unified ModelOps platform is designed to offer analytics leaders and information scientists with seamless, native assist for open-source ONNX embedding fashions in addition to cloud service supplier LLM APIs – corresponding to Azure OpenAI, Amazon Bedrock, and Google Gemini. These fashions could be deployed, managed, and monitored with out customized improvement because of newly enhanced LLMOps capabilities. ModelOps additionally empowers enterprise analysts and non-technical customers with low-code AutoML capabilities and delivers a constant intuitive interface throughout all instruments. This improve is designed to eradicate the complexity of managing disparate AI methods whereas democratizing use throughout ability ranges, enabling organizations to scale their AI operations extra effectively with lowered onboarding time and improved productiveness.
As organizations transition from AI experimentation to manufacturing scale, they encounter essential challenges that forestall significant enterprise affect. Fragmented workflows throughout completely different LLM suppliers — together with the rising variety of open-source fashions that organizations are adopting — create restricted mannequin interoperability and steep studying curves that hinder adoption and gradual innovation. With out unified governance frameworks, organizations battle to determine reliability and compliance throughout AI methods, making it inconceivable to scale trusted AI with confidence. These limitations can power generative AI and agentic AI initiatives to stay remoted experiments reasonably than built-in enterprise options, hindering worth creation.
Teradata’s new ModelOps platform is designed to resolve these challenges by offering unified entry to various AI fashions and low-code instruments, whereas sustaining belief and governance at scale, eliminating the operational complexity that forestalls enterprise customers from realizing AI’s full potential.
“The fact is that organizations will use a number of AI fashions and suppliers — it isn’t a query of if, however how, to handle that complexity successfully,” stated Sumeet Arora, Teradata’s Chief Product Officer. “Teradata’s ModelOps providing gives the flexibleness to work throughout combos of fashions whereas sustaining belief and governance. Corporations can then transfer confidently from experimentation to manufacturing, at scale, realizing the complete potential of their AI investments.”
An excellent use case for Teradata’s new ModelOps providing is perhaps {that a} financial institution wants to grasp buyer satisfaction and determine service points throughout a number of suggestions channels to enhance their digital banking expertise and retain prospects. Relatively than managing separate AI instruments for various evaluation duties, the unified ModelOps platform permits the financial institution to seamlessly mix a number of AI fashions (utilizing LLMs for sentiment evaluation, embedding fashions for categorization, and AutoML for predictive insights, for instance) all inside a single, trusted surroundings. This built-in strategy allows each technical groups and enterprise analysts to maneuver rapidly from experimental evaluation to production-scale buyer intelligence that instantly impacts retention and satisfaction.
Key Options and Anticipated Advantages of the New ModelOps in ClearScape Analytics:
- Seamless Integration with Public LLM APIs:
- Allows organizations to simply join with prime AI suppliers — Azure OpenAI, Google Gemini, and Amazon Bedrock for widespread LLMs corresponding to Anthropic, Mistral, DeepSeek, and Meta — all with out customized improvement, enhancing flexibility and mannequin selection.
- Securely register and handle exterior API-based fashions with observability, autoscaling, and utilization analytics.
- Admins can configure retry insurance policies, concurrency, and reproduction settings, whereas monitoring well being and spend per mission or mannequin.
- Managing and monitoring LLMs with LLMOps:
- Allows speedy deployment of NVIDIA NIM LLMs instantly into GPU environments with streamlined, configuration-free workflows.
- Offers complete LLM Mannequin Playing cards that ship transparency and monitoring with built-in governance capabilities.
- Delivers full end-to-end lifecycle administration for LLMs together with deployment, versioning, efficiency monitoring, and retirement processes.
- Streamlined ONNX Embedding Mannequin Deployment:
- Presents native assist for ONNX embedding fashions and tokenizers in a unified workflow, simplifying deployment of customized vector search fashions and lowering engineering overhead.
- Carry-Your-Personal-Mannequin workflows are additionally absolutely supported.
- Low-Code AutoML:
- Empowers groups to construct and monitor fashions utilizing intuitive instruments that assist scheduling, efficiency monitoring, and visible explainability, lowering reliance on ML specialists.
- Enterprise analysts and information scientists can use a low-code interface for mannequin coaching, analysis, and deployment. Built-in telemetry and explainability instruments present transparency and belief.
- Constant, Intuitive Consumer Interface:
- Delivers a unified UX throughout AutoML, Playground, Tables, and Datasets, reducing the educational curve and bettering productiveness for AI groups of all ability ranges.
- From guided wizards to improved desk interactions and a extra highly effective AI Workbench Playground, ModelOps delivers a cohesive and user-friendly expertise.
Availability
This upgraded model of ModelOps is predicted to be obtainable in This autumn for AI Manufacturing unit and VantageCloud.
At Teradata, we imagine that individuals thrive when empowered with trusted data. We provide essentially the most full cloud analytics and information platform for AI. By delivering harmonized information and trusted AI, we allow extra assured decision-making, unlock quicker innovation, and drive the impactful enterprise outcomes organizations want most. See how at Teradata.com.
