Truncated SVD (2023)

This article explains how truncated SVD can dramatically reduce the size of data while preserving most of its information, using image reconstruction as a clear example. For CIOs and technology leaders, the business implication is better storage efficiency, lower bandwidth and compute costs, and more scalable handling of high-dimensional data across analytics, imaging, and machine learning workflows. Strategically, it reinforces the value of data reduction techniques that improve performance without materially sacrificing quality, which can support modernization efforts and cost optimization initiatives across IT.