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…
data management
Identifying and Addressing Data Overload
Increased data generation requires modern businesses to manage vast volumes of information. All this data holds immense potential for insights…
Data Professional Introspective: Your Organization Can’t Create an EDM Strategy
Some countries successfully create long-term strategic plans. For example, China’s first 100-year plan was aimed at the elimination of extreme…
The Data-Centric Revolution: Putting Knowledge Into Our Knowledge Graphs
I recently gave a presentation called “Knowledge Management and Knowledge Graphs” at a KMWorld conference, and a new picture of…
Data Is Risky Business: Structured, Unstructured (Who Cares?)
The Irish satirist Jonathan Swift wrote “Gulliver’s Travels” almost 300 years ago, but the story of Lemuel Gulliver’s journey to…
Data Speaks for Itself: Data Validation – Data Accuracy Imposter or Assistant?
In my last article, “The Shift from Syntactic to Semantic Data Curation and What It Means for Data Quality” published…
Data Errors in Financial Services: Addressing the Real Cost of Poor Data Quality
Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even…
Eyes on Data: A Data Governance Study Bridging Industry and Academia
As autumn settles here in the northern hemisphere, with October baseball underway, the first frost arriving, and the holiday season…
All in the Data: A New Data Governance Season Is Here
As the new NFL season gets rolling, there’s a profound sense of anticipation in the air — the thrill of…
10 Risks of IoT Data Management
What Is IoT Data Management? IoT data management refers to the process of collecting, storing, processing, and analyzing the massive…