IBM Watson Studio
Bring AI models to production
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Please Note: All Prices are Inclusive of GST
Overview:
IBM Watson® Studio 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.
Build trust and scale AI across cloud environments
Optimize AI and cloud economics
Put multicloud AI to work for business. Use flexible consumption models. Build and deploy AI anywhere.
Predict outcomes and prescribe actions
Reduce model monitoring efforts by 35% to 50%. Increase model accuracy by 15% to 30%. Increase net profits on a data and AI platform.
Manage risks and regulatory compliance
Protect against exposure and regulatory penalties. Simplify AI model risk management through automated validation.
Synchronize apps and AI
Unite and cross-train developers and data scientists. Push models through REST API across any cloud. Save time and cost managing disparate tools.
Features:
MLOps
Watson Studio 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, Watson Studio users can manage their models throughout the development and deployment lifecycle.
Decision optimization
Decision optimization streamlines the selection and deployment of optimization models, and enables the creation of dashboards to share results and enhance collaboration.
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 Watson Studio 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.
Pricing Notes:
- All Prices are Inclusive of GST
- Pricing and product availability subject to change without notice.
Our Price: Request a Quote
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