Abstract: The complexity of coupled multivariate data in industrial settings often limits the effectiveness of principal component analysis (PCA) in revealing patterns and structures in the data. In ...

How is AI and data leadership at large organizations being transformed by the accelerating pace of AI adoption? Do these leaders’ mandates need to change? And should overseeing AI and data be viewed ...

Abstract: Centralization is indispensable to covariance-based multivariate statistical process monitoring (MSPM) methods, such as principal component analysis (PCA) and canonical correlation analysis ...

Oct 1 (Reuters) - Dataiku, an artificial intelligence data analytics startup, has hired investment banks to push ahead with an initial public offering, according to people familiar with the matter.

MathWorks, a leading developer of mathematical simulation and computing software, revealed that a ransomware gang stole the data of over 10,000 people after breaching its network in April. The company ...

Most people regard bank runs as a thing of the Depression-era past, but in 2023, several U.S. financial institutions failed when they experienced unexpected runs on deposits. Taking notice, leaders at ...

Background/objectives: Dietary patterns play an important role in regulating serum uric acid (SUA) levels in the body. Recently, compositional data analysis (CoDA) has been proposed as an alternative ...

SAN FRANCISCO--(BUSINESS WIRE)--Hex, the first unified, AI-powered workspace for data science and analytics, announced a $70 million Series C funding round today led by Avra, with participation from ...

An updated edition of the April 10, 2025 article. Big Data has been transforming the finance world, helping investors make quicker and more informed decisions. Artificial intelligence (AI) and ...