IBM watsonx.ai
by IBM
IBM studio for foundation models and ML, with a REST API for deployments, training runs, prompts and model inference.
- Category
- Cloud & Data Platforms
- Type
- MLOps
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token, API key
02Data
What you can sync.
- Deployments
- Training runs
- Models
- Prompt templates
Put IBM watsonx.ai deployments next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other IBM watsonx.ai data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
- An API key
IBM watsonx.ai uses an access token or an API key. You add the credentials once, when the AI asks for them, and it tells you where to create them in IBM if you need help.
04How it works
How it works in DataMind.
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Pick IBM watsonx.ai.
Open Lake, pick IBM watsonx.ai in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the IBM watsonx.ai API docs.
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Answer a few questions.
The AI reads the IBM watsonx.ai documentation, then asks which credentials you will use, which data to sync (for example deployments and training runs), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then IBM watsonx.ai data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
