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…
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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 Speaks for Itself: The Shift from Syntactic to Semantic Data Curation
My column today is a follow-up to my article “The Challenge of Data Consistency,” published in the May 2023 issue…
Data Speaks for Itself: Is Metadata Data?
Well, of course, metadata is data. Our standard definition explicitly says that metadata is data describing other data. So why…
Data Speaks for Itself: Is AI the Cure for Data Curation?
By now, it is clear to everyone that AI, especially generative AI, is the only topic you’re allowed to write…
Data Speaks for Itself: Data Love and Data Limerence
Now that “data” is finally having its day, data topics are blooming like jonquils in March. Data management, data governance,…
Data Speaks for Itself: Placing Data Governance in Context
Yes, let’s talk about data governance, that thing we love to hate. I just attended the 17th Annual Chief Data…
Data Speaks for Itself: The Challenge of Data Consistency
Data quality management (DQM) has advanced considerably over the years. The full extent of the problem was first recognized during…
Data Speaks for Itself: The Path Less Traveled
As you can probably tell from my previous columns, my thinking lately has been very focused on the issue of…
Data Speaks for Itself: Waldo, Where are You?
Almost every child knows about the cute search-and-find Waldo with the red-striped shirt and cap hidden in the crowd. But…