IBM watsonx.ai
Operationalize and scale AI with foundation models, generative AI and machine learning.
Train, validate, tune and deploy AI models
A well-considered approach to AI can help you scale and operationalize more quickly and more effectively. The IBM approach is to combine generative AI with traditional machine learning techniques. Generative AI provides scalability through foundation models that are trained on unlabeled data. Traditional machine learning techniques offer fine tuning and customization, using labeled data for improved accuracy.
Meet IBM watsonx.ai™, an enterprise-ready AI studio for AI builders. Build with our new studio for foundation models, generative AI and machine learning. With watsonx.ai users can leverage foundation models in a variety of ways including accessing open source models, IBM proprietary models, domain specific models, and bring your own models.
- Bring together AI builders
Use open-source frameworks and tools for code-based, automated and visual data science capabilities–all in a secure, trusted studio environment.
- Tune foundation models for your business
Leverage foundation models and generative AI with minimal data, advanced prompt-tuning capabilities, full SDK and API libraries.
- Manage the full AI lifecycle
Accelerate the full AI model lifecycle with all the tools and runtimes in one place to train, validate, tune and deploy AI models across clouds and on-premises environments.
"Watsonx.ai proved to be very useful. In our research, we liked how it helped our customers (and our development team) to simplify tasks and extend the assistant knowledge without the need to pre-set the whole dialog in advance. It is a next level for us and our customers."
Jindrich ChromyCEO and co-founder, AddAI.Life