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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 Explore the watsonx.ai demo


OUR NEXT-GENERATION ENTERPRISE STUDIO FOR AI BUILDERS

IBM® watsonx.ai™ AI studio is part of the IBM watsonx™ AI and data platform,
bringing together new generative AI (gen AI) capabilities powered by foundation
models and traditional machine learning (ML) into a powerful studio spanning the
AI lifecycle. Tune and guide models with your enterprise data to meet your needs
with easy-to-use tools for building and refining performant prompts.
With watsonx.ai, you can build AI applications in a fraction of the time and
with a fraction of the data. Watsonx.ai offers:


 * Multi-model variety and flexibility: Choose from IBM-developed Granite
   models, open-source and third-party models, or bring your own model.
 * Differentiated client protection: IBM stands behind IBM-developed Granite
   models and indemnifies the client against third-party IP claims.
 * End-to-end AI governance: Enterprises can scale and accelerate the impact of
   AI with trusted data across the business, using data wherever it resides.
 * Hybrid, multi-cloud deployments: IBM provides the flexibility to integrate
   and deploy your AI workloads into your hybrid-cloud stack of choice.

Get the ebook: Generative AI and ML for the enterprise
Interactive demo

Chat directly with an LLM in the watsonx.ai 30-day demo. This demo does not
include agents or simultaneous chat with multiple models.

Analyst report

IDC Spotlight: The truth about successful generative AI



IBM TechXchange


IBM TECHXCHANGE DAY: AI AND AUTOMATION

Join this virtual event on 16 July as we bring together thousands of industry
experts to discuss how to drive enterprise AI at scale.

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IBM positioned as Exemplary in Ventana Research Buyers Guide 2024 for GenAI
Platforms

Access the 2024 Ventana Research Buyers Guide to see why IBM was named an
Exemplary software provider for GenAI Platforms with an overall grade of A-.

 

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USE CASES

Bring your own custom foundation models or work with a suite of curated
foundation models offered by IBM, including Granite models. Experiment with open
source models through the IBM and Hugging Face partnership to meet the needs of
your business.

Collect, create and share knowledge Build a Q&A resource from a broad internal
or external knowledge base across your company’s proprietary data to share
organizational insights. With the help of generative AI, you can analyze
multiple documents and data inputs, provide effective responses based on
real-time information feeds and improve documentation quality. Learn more

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Extract insights and discover trends Analyze large amounts of data to identify
and extract insights or facts from documents or reports, customer interactions,
security or IT incidents. Discover patterns, trends or anomalies that occur
within the data with the use of generative AI. From the themes extracted,
traditional AI and ML algorithms can then forecast and make predictions, such as
calculating credit risk, future sales, demand forecasts and inventory
management, specific to the user's needs and business requirements. 
Generate synthetic tabular data Generate synthetic tabular data to protect
sensitive information during testing stages. Address data gaps and reduce the
risk of exposing an individual’s personal data by taking advantage of data
created artificially through computer simulation or algorithms. Further build
and test AI and ML models with synthetic data to overcome data gaps and, in
turn, improve speed to market with new AI solutions.

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Generate content, technology and code New technology, content and code can be
created through the power of generative AI to support developer and business
user productivity across a range of business domains. The content generated can
include lesson planning and curriculum development, ideas for marketing and
sales campaigns, emails, blogs, social media posts, product demonstrations,
synthetic data images, technical documentation, user persona development,
automated reports, scripts and more.

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BENEFITS

Discover how to scale AI 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.


FEATURES

Foundation models Clients can bring in IBM-supported custom foundation models
from Hugging Face and have access to other third-party models including Llama 3
and Mixtral 8x7b. They also have access to a family of IBM-developed foundation
models of different sizes and architectures, including open-source Granite
models and IBM customized Granite models to support enterprise domains and use
cases such as RAG. See foundation models in watsonx.ai Explore how to choose the
right foundation model

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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 interact with
foundation models in the prompt editor using the Chat, Freeform or Structured
mode. These multiple options will allow you to craft the best model
configurations 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 Prompt-tune foundation models as part of our Tuning Studio to help
tune your foundation models with labeled data for better performance and
accuracy. Prompt-tuning is an efficient, low-cost way of adapting a foundation
model to new downstream tasks without retraining the model and updating its
weights. Once your model is tuned, you can start using it in the Prompt Lab.
Subsequent releases will include capabilities for model fine-tuning as part of
our Tuning Studio.

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Public preview now available Flows engine With its intuitive flow language,
watsonx.ai flows engine simplifies the development process, allowing generative
AI applications to be effortlessly deployed to the cloud, accessed via API calls
or SDKs, and integrated into existing projects and architectures. The feature
provides a range of pre-built AI flows for tasks such as Retrieval Augmented
Generation (RAG) and Summarization, allowing developers to embed AI into their
business processes seamlessly. Learn more about flows engine

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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 ML models
automatically. Automate the entire AI model lifecycle from development to
deployment with connections to a variety of APIs, SDKs and libraries.


GEN AI CAPABILITIES

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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Enhance your Q&A application Leverage retrieval-augmented generation (RAG) to
generate factually accurate output that is grounded in a broad external or
internal knowledge base.

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MLOPS CAPABILITIES

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 ML models. It supports a wide range of data sources
enabling teams to streamline their workflows. With advanced features like
automated ML and model monitoring, users can manage their models throughout the
development and deployment lifecycle.

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Solve optimization problems Uncover prescriptive analytics to improve your
business decisions, such as planning, scheduling, pricing, inventory or resource
management with CPLEX Optimizer. These CPLEX decision optimization engines apply
specialized mathematical algorithms and constraint-based programming to address
your business objectives. Within the CPLEX solver, access tabular or graphical
views that can be easily shared to enhance collaboration and accelerate time to
insights.
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.

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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.

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

Explore watsonx technology partners




CLIENT STORIES

Businesses are excited about the prospect of tapping foundation models and ML in
one place, with their own data, to accelerate generative AI workloads.

Explore more client stories
AddAI.Life

“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 Chromy, CEO and co-founder

Minijob-Zentrale

“With this tool, we will need only a quarter of the time compared to before to
plan, write and publish an article.” — Madeline Scholz

Silver Egg Technology

“IBM’s commitment to cultivating an ecosystem of enterprise AI solutions based
on their trustworthy and secure AI platform has proven highly complementary to
our go-to-market strategy. We look forward to further cooperation.” — Tom Foley,
Founder and CEO

Blendow Group

“We are just at the beginning of this journey. This endeavor with IBM has
reinforced our conviction that legal intelligence is on the brink of a
transformative era, and Blendow Group is poised to lead this revolution.” —
Johan Wallquist, Chief Digital Innovation Officer

Sicredi

“We are encouraged by the results of this pilot, and we look forward to the next
chapter in our Generative AI journey. IBM’s ethical and transparent approach to
AI helps us put human values at the center of our transformation initiative.” —
Alceu Meinen, Superintendent of AI and Customer Relations

NHS Trust

“The IBM team has fully supported our patient-first approach that combines
process research and process mining to establish areas of opportunity to improve
the patient experience and outcomes. This has helped us to identify where we
could pilot process changes and exciting new technologies to have an impact far
more quickly than we would have before." — Professor Andy Hardy, Chief Executive
Officer




THIRD-PARTY REVIEWS

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Take the next step

Take the next step to start operationalizing and scaling generative AI and ML
for business.

Start your free trial Explore the interactive demo
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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.