Data Speaks for Itself: Data Quality Management in the Age of Language Models
Unsurprisingly, my last two columns discussed artificial intelligence (AI), specifically the impact of language models (LMs) on data curation. My…
Get a thorough Data Quality education through TDAN’s Business Intelligence articles, news, and blogs.
Unsurprisingly, my last two columns discussed artificial intelligence (AI), specifically the impact of language models (LMs) on data curation. My…
Increased data generation requires modern businesses to manage vast volumes of information. All this data holds immense potential for insights…
Data empowers businesses to gain valuable insights into industry trends and fosters profitable decision-making for long-term growth. It enables firms…
Data migration — the process of transferring data from one system to another — is a critical undertaking for organizations…
I go to data conferences. Frequently. Almost always right here in NYC. We have lots of data conferences here. Over…
Every business (large or small) creates and depends upon data. One hundred years ago, businesses looked to leaders and experts…
In my last article, “The Shift from Syntactic to Semantic Data Curation and What It Means for Data Quality” published…
A systems thinking approach to process control and optimization demands continual data quality feedback loops. Moving the quality checks upstream…
Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even…
Mastering data governance has become a critical challenge for insurers in today’s rapidly evolving insurance landscape. Many companies struggle to…