Build trust and scale AI across cloud environments
Overview
Bring AI models to production
IBM watsonx.ai Studio as a Service empowers data scientists, developers and analysts to build, run and manage AI models, and optimize decisions anywhere on IBM Cloud Pak® for Data. Unite teams, automate AI lifecycles and speed time to value on an open multicloud architecture.
Features
Build, optimize and govern AI models
- MLOps
- Decision optimization
- Visual modeling
- NLP with Watson
- Automated development
- AI governance
Manage models across the AI lifecycle
IBM watsonx.ai Studio as a Service provides a collaborative platform 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.
Decision optimization
Streamline the selection, deployment and management of optimization models. Create dashboards that present results clearly, support collaboration across teams and make optimization insights easier to share, review and act on.
Visual modeling
With easy-to-use IBM® SPSS®-inspired workflows, you can combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI platform.
NLP with Watson
The Watson Natural Language Processing Premium Environment gives the IBM watsonx.ai Studio as a Service users instant access to pre-trained, high-quality text analysis models in over 20 languages. These models are created, maintained and evaluated for quality in each language by experts at IBM Research and IBM Software.
Automated development
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.
AI governance
AI governance automated tools and processes enable organizations to better direct, manage and monitor AI workflows. By tracing and documenting the origin of data, models, associated metadata and pipelines they are able to provide transparent and explainable analytic results. Operationalize AI effectively by managing risks, AI policies and regulations with custom workflows and dynamic dashboards.
Use cases
Accelerate AI innovation
Organizations can build, deploy and govern AI across hybrid and multicloud environments while improving collaboration between developers and data scientists. These capabilities help optimize AI investments, improve decision-making, reduce risk and streamline the delivery of AI-powered applications.
Help teams build and deploy AI across any cloud, use flexible consumption models, and optimize AI investments as needs evolve.
Help teams predict outcomes and prescribe actions while reducing model monitoring by 35% to 50% and increasing accuracy by 15% to 30%.
Help teams automate AI model validation to reduce risk, simplify compliance efforts and guard against regulatory penalties.
Help teams unite developers and data scientists, deploy models through REST APIs across any cloud, and reduce tool management costs.
Resources
Discover expert resources
Browse datasheet, videos and support documentation to deepen your understanding of IBM watsonx.ai Studio as a Service and support informed decision-making.
Pricing
Watsonx.ai pricing
Explore the pricing tiers for our trial, essentials and standard plans on IBM® watsonx.ai®.