IBM Watson Studio | FutureHurry
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Main Purpose

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. It provides a collaborative environment for data science and AI development, offering a range of tools and capabilities to streamline the end-to-end AI lifecycle.

Key Features

  • Integration with open-source frameworks like PyTorch, TensorFlow, and scikit-learn
  • Support for code-based and visual data science using Jupyter notebooks, JupyterLab, and CLIs
  • Multi-language support including Python, R, and Scala
  • Automation of AI lifecycles and deployment on an open multicloud architecture
  • Collaboration features to unite teams and facilitate knowledge sharing
  • Tools for data preparation, analysis, modeling, and visualization
  • AutoAI capabilities for beginners and expert data scientists
  • Decision Optimization for prescriptive modeling and scenario comparison
  • SPSS Modeler for building predictive models using a graphical canvas
  • Federated Learning for training models on distributed data sources while maintaining data security

Use Case

  • Data science and AI model development and deployment
  • Collaborative data analysis and modeling
  • Automated model development and hyperparameter optimization
  • Prescriptive modeling and decision optimization
  • Predictive modeling and data preparation
  • Training models on federated data sources
Pricing Model:

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