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Good Data. Great AI

Good Data. Great AI

Ensono
Pages 5 Pages

This document explains that AI success depends on high-quality data, noting on page 1 that poor, incomplete, or biased data leads to unreliable models and costly decisions. Page 2 defines good data as accurate, complete, timely, consistent, and diverse, while warning that bad data causes bias, incorrect predictions, and wasted effort. Page 3 highlights the role of data engineers in governance, privacy, lineage, real-time pipelines, and scalable architectures. Page 4 stresses building a data-driven culture and strong governance so organizations can fully realize AI’s value.

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