watsonx.ai
Now available—a next generation enterprise studio for AI builders to train, validate, tune and deploy AI models
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Our next-generation enterprise studio for AI builders

Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI lifecycle. With watsonx.ai, you can train, validate, tune and deploy generative AI, foundation models and machine learning capabilities with ease and build AI applications in a fraction of the time with a fraction of the data.
New generative AI features and models in watsonx.ai

Introducing new IBM and third-party generative AI models coming to watsonx.ai later this month, in addition to the first release of the Tuning Studio and newly launched synthetic data generator to assist users in creating artificial tabular data sets.

What's new

Meta’s Llama-2-chat now available in watsonx.ai

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Generative AI and machine learning for builders 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.
Generative AI capabilities with a proven studio for machine learning powered by foundation models
Foundation models Clients have access to IBM selected open source models from Hugging Face, as well as other third-party models including Llama-2-chat and StarCoder LLM for code generation, and a family of IBM-trained foundation models of different sizes and architectures. These models start with Slate for non-generative AI tasks and the upcoming Granite series models that use a decoder architecture to support a variety of enterprise NLP generative AI tasks.
Prompt Lab Where AI builders can work with foundation models and build prompts using prompt engineering. Within the Prompt Lab, users can experiment with zero-shot, one-shot, or few-shot prompting to support a range of Natural Language Processing (NLP) type tasks including question answering, content generation and summarization, text classification and extraction.
Tuning Studio Subsequent watsonx.ai releases will include capabilities for prompt tuning and fine-tuning foundation models as part of our Tuning Studio to help tune your foundation models with labeled data for better performance and accuracy.1
Data Science and MLOps All the tools, pipelines and runtimes powered by foundation models, a data scientist would need to support building machine learning models automatically. Automate the entire AI model lifecycle from development to deployment with connections to a variety of APIs, SDKs and libraries.

Experiment with prompt engineering in the Prompt Lab

In the Prompt Lab, leverage foundation models to create better AI, faster. Experiment with different prompts for various use cases and tasks. With just a few lines of instruction you can draft job descriptions, classify customer complaints, summarize complex regulatory documents, extract key business information and much more. Quickly tune models for your specific business needs using the latest open source and IBM trained foundation models.

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Generate content, no code required From writing marketing emails to creating customer personas, watsonx.ai is your new creative partner. Just specify what you want, set the parameters and let the AI do the work. Watch the video (1:27)
Build a classifier without training With as few as zero examples, watsonx.ai can read and classify written input. For example, it can evaluate and sort customer complaints or review customer feedback sentiment. Watch the video (1:38)
Save time with high-quality summaries Like a skilled assistant, watsonx.ai can help transform dense text into your personalized executive overview, capturing key points from financial reports, meeting transcriptions and more. Watch the video (1:40)
Extract information with no pre-training Let watsonx.ai sort through the complex details and help you quickly pull the information you want from large documents. Identify named entities, parse terms and conditions and more. Watch the video (1:46)

Bring traditional AI into production, faster

Build models either visually or with code, deploy and monitor with end-to-end lifecycle explainability and fairness. Use MLOps to simplify model production from any tool and provide automatic model retraining.

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Create automated pipelines Single collaborative studio for data scientists to build, train and deploy machine learning models. It supports a wide range of data sources enabling teams to streamline their workflows. With advanced features like automated machine learning and model monitoring, users can manage their models throughout the development and deployment lifecycle.
Optimize models to make decisions Decision optimization streamlines the selection and deployment of optimization models, and enables the creation of dashboards to share results and enhance collaboration.
Develop predictive models visually With easy-to-use workflows, you can combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.
Accelerate the entire AI lifecycle With AutoAI, beginners can quickly get started and expert data scientists can speed experimentation in AI development. AutoAI automates data preparation, model development, feature engineering and hyperparameter optimization.
Generate synthetic tabular data Generate a synthetic tabular data set leveraging your existing data or a custom data schema. You can connect to your existing database, upload a data file, anonymize columns and generate as much data as needed to address your data gaps or train your classical AI models.
Power your use cases with foundation models

Work with IBM’s suite of curated foundation models trained to ensure model trust and efficiency in business applications, or you can bring your own models to further train and tune. You can experiment with open source models through IBM’s partnership with Hugging Face, allowing you to define the best models for your needs.

IBM curated models

Work with IBM’s suite of foundation models designed to ensure model trust and efficiency in business applications.

 IBM + Hugging Face

Through IBM’s partnership with Hugging Face, you can experiment with open source models, allowing you to define the best models for your needs.

 Bring your own

You can use watsonx.ai to train and tune your own models using our advanced prompt-tuning capabilities, full SDK and API libraries.
Client stories Businesses are excited about the prospect of tapping foundation models and machine learning in one place, with their own data, to accelerate generative AI workloads CrushBank Technology, Inc.

"Providing IT agents with a comprehensive and accurate information source quickly and reliably eliminates the need to go through multiple documents manually. Integrating watsonx.ai capabilities with our data information sources, we can correlate and summarize information from various documents, delivering concise natural language answers."

- David Tan, CTO, CrushBank Technology, Inc.

 Seismic

“As an early adopter of AI, we are excited to explore how watsonx.ai can help us simplify content classification, discoverability and summarization.”

- Krish Mantripragada, Chief Product Officer, Seismic

 Technology Dynamics, Inc.

“Watsonx.ai allows us to slash delivery time from 3-4 months down to 3-4 weeks for many customer care use cases.”

— Marc Martina, President/CEO, Technology Dynamics, Inc.

Resources

Building AI for business: IBM’s Granite foundation models Learn how watsonx.ai can help your organization train, validate, tune and deploy AI Learn about the new AI and data capabilities of watsonx Learn why IBM was named a Leader in the 2023 Gartner® Magic Quadrant™ for Cloud AI Developer Services Learn about IBM’s approach to re-establishing trust for massive datasets and generative AI Explore the watsonx.ai product documentation to help you get started building and deploying AI models

IBM's next generation enterprise studio for AI builders

Explore other watsonx components watsonx.data

See how our data store combines flexibility of a data lake with the performance of a warehouse.

 watsonx.governance

Accelerate responsible, transparent and explainable AI workflows.
Learn more about our AI and data platform called watsonx. 
Take the next step

Take the next step to start operationalizing and scaling generative AI and machine learning for business

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Footnotes

1IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion. See Pricing for more detail. Unless otherwise specified under Software pricing, all features, capabilities, and potential updates refer exclusively to SaaS. IBM makes no representation that SaaS and software features and capabilities will be the same.