SV Analytica Watson

Infuse AI Anywhere

SV Analytica Watson is an open, multi cloud platform that automates the AI lifecycle. Builds powerful models from scratch, or speed time-to-value with pre-built enterprise apps. Brings AI tools and apps to your data wherever it resides whether on IBM Cloud, AWS, Azure, Google, or your own private cloud platform. Get deep insights from your data, interact with customers and employees on their terms, and train your AI systems on the language of your industry.

Scale AI Across Any Cloud

SV Analytica Watson Studio empowers you to operationalize AI and optimize decisions anywhere on public, private, hybrid cloud. Bring together open source frameworks like PyTorch, TensorFlow and scikit-learn with IBM and its ecosystem tools for code-based and visual data science. Work with Jupyter notebooks, JupyterLab and CLIs — or in languages such as Python, R and Scala. Infuse AI into your applications to make more accurate predictions, automate decisions and processes, and optimize the time.

Prepare for AI

SV Analytica Watson Studio provides you with the environment and tools to solve your business problems by collaboratively working with data. You can choose the tools you need to analyze and visualize data, to cleanse and shape data, or to build machine learning models. It uses Data Refinery to clean and shape data using a graphical flow editor. Builds models using images with Visual Recognition and texts with Natural Language Classifier.

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Solution Benefits

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

Optimize schedules, plans and resource allocations using predictions. Simplify optimization modeling with a natural language interface.

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.

Unify tools and increase productivity for ModelOps

Operationalize enterprise AI across clouds. Govern and secure data science projects at scale.

Deliver fair, explainable AI

Reduce model monitoring efforts by 35% to 50%.¹ Increase model accuracy by 15% to 30%.² 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.

Capabilities and features

AutoAI for faster experimentation

Automatically build model pipelines. Prepare data and select model types. Generate and rank model pipelines.

Advanced data refinery

Cleanse and shape data with a graphical flow editor. Apply interactive templates to code operations, functions and logical operators.

Open source notebook support

Create a notebook file, use a sample notebook or bring your own notebook. Code and run a notebook.

Integrated visual tooling

Prepare data quickly and develop models visually with SV Analytica Modeler in Watson Studio.

Model training and development

Build experiments quickly and enhance training by optimizing pipelines and identifying the right combination of data.

Extensive open source frameworks

Bring your model of choice to production. Track and retrain models using production feedback

Embedded decision optimization

Combine predictive and prescriptive models. Use predictions to optimize decisions. Create and edit models in Python, in OPL or with natural language.

Model management and monitoring

Monitor quality, fairness and drift metrics. Select and configure deployment for model insights. Customize model monitors and metrics.