IBM watsonx as a Service is a secure and collaborative environment where you can access your organization's trusted data, automate AI processes, and deliver AI in your applications. The IBM watsonx.ai component provides a studio of integrated tools for builing generative AI solutions that are powered by foundation models and for building machine learning models. The IBM watsonx.governance component provides end-to-end monitoring for machine learning and generative AI models to accelerate responsible, transparent, and explainable AI workflows.
AI engineers, data scientists, and AI risk and compliance officers can accomplish the following goals with watsonx.ai and watsonx.governance:
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Build machine learning models: Build models by using open source frameworks and code-based, automated, or visual data science tools.
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Develop with foundation models: Generate prompts to generate, classify, summarize, or extract content from your input text. Choose from IBM models or open source models from Hugging Face. Tune foundation models to customize your prompt output.
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Manage the AI lifecycle: Manage and automate the full AI model lifecycle with all the integrated tools and runtimes to train, validate, and deploy AI models.
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Govern AI: Track the detailed history of AI models and evaluate model output to help ensure compliance.
Data engineers can collect, store, query, and analyze enterprise data in a lakehouse architecture with IBM watsonx.data. See IBM watsonx.data documentation.
The following graphic shows the capabilities of the watsonx.ai and watsonx.governance components on top of the common core functionality that provides an integrated user experience. The watsonx.data experience is separate and not shown in the graphic.
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