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Learn SAS | Students & Educators
Matt Scicchitano 0
Achieving Perfection: Jayeshkumar's Journey to a Perfect SAS Certification Score

This article was written based off an interview. In the competitive world of data analytics, achieving a perfect score on the SAS certification exam is a remarkable feat. Dr. Jayeshkumar Kanani, a resolute data enthusiast from the Surat Municipal Institute of Medical Education and Research (SMIMER), recently accomplished this milestone.

Analytics | Data Management | Predictions
Stu Bradley 0
Data privacy perspectives: How financial services firms can foster trust in the AI age

Every year, as Data Privacy Week sharpens the focus on protecting personal information, I’m reminded of a customer event a major North American bank hosted at SAS world headquarters. The bank’s chief data officer led a roundtable discussion on generative AI (GenAI) with a group of esteemed data and AI experts. The

Artificial Intelligence | Machine Learning
Steve Bakalar 0
Thriving in the AI age means crushing the ‘one-and-done’ fallacy

It seems like every day, there’s a new study or report about how AI, GenAI and machine learning will transform industries. For Georgia-Pacific, this isn’t forward-looking speculation. It’s our reality. When we look at the innovation investments Georgia-Pacific has in play, we’re predicting a nine-figure return. We see $100 million

Advanced Analytics
Rick Wicklin 0
Matrix norms and spectra

A previous article discusses covariance matrices that have the same set of eigenvalues. The set of eigenvalues is called the spectrum of the matrix. For symmetric matrices, the spectrum contains real numbers. For covariance matrices, which are positive semidefinite, the eigenvalues are nonnegative. It turns out that two symmetric matrices

Advanced Analytics | Artificial Intelligence
Brett Wujek 0
Working with synthetic data? Ask these 6 questions first

Synthetic data has emerged as a powerful tool for overcoming the limitations of real-world data. The future holds great promise for accelerated innovation. With synthetic data, companies can now generate financial transactions, medical records or customer behavior patterns that maintain statistical relevance like real data. This emerging technology can help

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