Browsing: data

ASOS US Sales LLC, the United States sales entity of the global online fashion retailer ASOS, disclosed a data breach that exposed consumers’ personal and financial information.

Individuals who received notice from SitusAMC Holdings Corp. about a November 2025 data breach may qualify to claim up to $5,000 from a class action settlement.

While working with data, it can be difficult to truly understand your data when it’s just in tabular form. To understand what exactly our data conveys, and to better clean it and select suitable models for it, we need to visualize it or represent it in pictorial form. This helps expose patterns, correlations, and trends…

Data engineering teams routinely spend weeks standing up a single new data source: writing ETL, hand-writing quality checks, updating semantic models, and validating compliance. The Agentic Data Operations Platform (ADOP) on AWS is designed to significantly accelerate that timeline. It’s a reference architecture built on Amazon Bedrock and your AI coding tool of choice. Specialized…

Conn. (WFSB) – State officials say a data breach involving the Connecticut Medicaid program’s provider portal exposed payment and claims information tied to roughly 41,000 HUSKY Health members

Starcloud, a startup building data centers in space, said on Friday it had raised US$250 million at a US$2.3 billion valuation, as it looks to expand AI infrastructure through orbital data centers.

S.C. (FOX Carolina) – AnMed confirmed on Friday that cybercriminals obtained information during a cybersecurity incident in July

Apollo Global Management confirmed it was among several financial institutions impacted by a string of social engineering attacks that hit the sector last month, the company said Friday. 

AnMed has confirmed that cybercriminals obtained personal information during July’s cyberattack.

Aug. 21, 2026 — A new compression framework could make high-precision Global Navigation Satellite System (GNSS) atmospheric corrections easier to store, transmit, and use where ground networks are unavailable. The study introduces a training-free sparse representation method that reduces the data burden of global tropospheric grid models while preserving the accuracy needed to estimate zenith…