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WATSONX.AI

Now available—a next generation enterprise studio for AI builders to train,
validate, tune and deploy AI models
Start your free trial Book a live demo



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.

Scale generative AI responsibly



Enterprise-ready, IBM-developed watsonx Granite models now available



Read the announcement



IBM acquires Manta to complement data and AI governance capabilities





IBM expands relationship with AWS to bring generative AI solutions and expertise
to clients



Get the ebook: Generative AI + ML for the enterprise



GENERATIVE AI AND MACHINE LEARNING FOR BUILDERS

Read the data sheet 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 Granite series models that use a decoder
architecture to support a variety of enterprise NLP generative AI tasks. Explore
foundation models in watsonx.ai

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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.

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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

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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.

Start your free trial
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.

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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.

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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.

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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.

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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.

Start your free trial
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.

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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.

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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.

Partner with us to deliver enhanced commercial solutions, embedded with
watsonx.ai, to better address clients’ needs.

Learn more




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

Blog Building AI for business: IBM’s Granite foundation models Read the blog
Ebook Generative AI and ML for the enterprise Read the ebook Data sheet Learn
how watsonx.ai can help your organization train, validate, tune and deploy AI
Read the data sheet Product announcment Learn about the new AI and data
capabilities of watsonx Read the announcement Analyst report Learn why IBM was
named a Leader in the 2023 Gartner® Magic Quadrant™ for Cloud AI Developer
Services Read the report Blog Learn about IBM’s approach to re-establishing
trust for massive datasets and generative AI Read the blog Documentation Explore
the watsonx.ai product documentation to help you get started building and
deploying AI models Read the documenation Video
IBM's next generation enterprise studio for AI builders
Watch the video



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. 

Explore watsonx



Take the next step

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

Start your free trial Book a live demo
More ways to explore Become an IBM Business Partner Documentation Community
Support Explore AI consulting with IBM

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.

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