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A cloud-based platform enabling actuaries and data scientists to collaborate on large-scale data analysis. Supports both R and Python with scalable computing resources for complex actuarial modeling. Features include notebook-based development, version control, MLOps capabilities, and governance tools for ensuring regulatory compliance in insurance use cases.
Integrated development environments that combine programming tools, statistical libraries, and visualization capabilities for actuarial data analysis and model development.
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