IBM watsonx
Enterprise AI and data platform
- Data & analytics · editorial fit
Overview
IBM watsonx is a portfolio of products for building AI applications and models, working with enterprise data, and governing AI. The main portfolio includes watsonx.ai for model and application development, watsonx.data for data and lakehouse workloads, and watsonx.governance for monitoring, risk, and compliance.
The catalog entry covers a portfolio rather than one uniform app or price. Teams can use foundation models, Prompt Lab, Agent Lab, retrieval-augmented generation, machine learning, data services, and governance capabilities, but access, deployment, and trial terms depend on the specific watsonx product selected.
Supported use cases
Prototype an enterprise AI application
Compare models, design prompts or agents, and connect governed data in watsonx.ai.
Prepare data for AI workloads
Use watsonx.data to query and manage data across supported engines and open formats.
Govern models and generative AI
Track model behavior, risk, and compliance requirements across an organization’s AI estate.
Limitations
Portfolio-specific access
The watsonx name covers several products with separate plans, limits, and deployment requirements; a watsonx.ai trial does not include every watsonx capability.
Free toolbox limits
The watsonx.ai free tier caps monthly foundation-model tokens, compute usage hours, and document extraction.
Key capabilities
AI development studio
Uses prompts, foundation models, agents, RAG, machine learning, and model deployment tools in watsonx.ai.
Enterprise data platform
Provides lakehouse and data services through watsonx.data for AI and analytics workloads.
AI governance
Monitors models and AI use for transparency, risk, compliance, and lifecycle control.
Model choice and customization
Supports IBM, third-party, and open models, with tuning and hosted deployment options by plan.
Related tools
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