Srinivas Atreya: There are several data quality issues that enterprises commonly face. These issues can hamper the decision-making process, lead to incorrect analysis, and negatively affect the ...

Below are five key steps D&A leaders can take to build a business case for continuous data quality assurance, in order to ...

Profiling (50k record limit) – Identify weaknesses in your data quality process & gain insight into the actual health of your data. Generalized Cleanser (100k record limit) – Utilize a number of ...

Six Sigma is a data-driven approach to quality, aimed at reducing variation and the associated defects, wastes, and risks in any process. This article explores the basics of Six Sigma process quality ...

Naveego's DQS, according to the company, is designed to help enterprises implement a data quality process with minimal impact on knowledge workers. The product is designed to identify and track ...

Unsurprisingly, my last two columns discussed artificial intelligence (AI), specifically the impact of language models (LMs) on data curation. My August 2024 column, “The Shift from Syntactic to ...

Timely engineering fixes rely on high-speed communications standards, but data inconsistencies are getting in the way.

Simplify AI training with Encord’s powerful tools for data annotation, integration, and active learning. Achieve better AI ...