The goal of this Sample RFI is to cut through the confusion, and provide guidance on how to evaluate platforms that span the entire ML, AI and predictive application development lifecycle.

These platforms provide a standardized approach for data science experimentation, model training, model deployment, and model lifecycle management, thereby facilitating teams’ collaboration across the organization for end-to-end data science projects from conception to management. In turn, end-to-end collaboration also enables companies to transform multiple processes across the enterprise, and generate more comprehensive 360 degree feedback loops, boosting company-wide ROI.

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