The Futurum Group's study found SAS Viya delivers 4.6x greater productivity across the data and AI lifecycle compared to competitors, with 86% of tasks requiring no coding. It cut data engineering time by 16x, data science by 3.5x, and MLOps by 4.5x. Read the report for detailed methodology and findings.
Organizations face pressure to extract insights from data, but the data and AI lifecycle often consumes time and resources. Data teams face complex tools, coding needs, and lengthy processes that hinder productivity and delay decisions.
This study evaluates three data and AI platforms, measuring productivity across the lifecycle from data management to model deployment. Findings show modern platforms reduce complexity and coding:
Read the study to learn how to accelerate data-to-decision processes.
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