Through the Looking Glass: What Does Data Quality Mean for Unstructured Data?
I go to data conferences. Frequently. Almost always right here in NYC. We have lots of data conferences here. Over…
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I go to data conferences. Frequently. Almost always right here in NYC. We have lots of data conferences here. Over…
The Irish satirist Jonathan Swift wrote “Gulliver’s Travels” almost 300 years ago, but the story of Lemuel Gulliver’s journey to…
The Internet of Things (IoT) technology has taken the world by storm. From smart homes and wearables to connected cars…
To fully understand IoT, one should know what the internet is first. Simply speaking, the internet is the abbreviation of…
In the present era of data-centricity, institutions are amassing an immense amount of information at an unparalleled pace. This inundation…
I’ve been thinking a lot about data mapping lately. I know, weird, right? With analytics, AI, cloud, etc., why would…
Part I When I finished my last column, “Through the Looking Glass: Metaphors, MUNCH, and Large Language Models,” I stated…
There are many perennial issues with data: data quality, data access, data provenance, and data meaning. I will contend in…
The insight we gain from an IoT system is derived from the data obtained by its sensors. Driven by innovations…
In today’s data-driven world, efficiently extracting data from large datasets is crucial for businesses to gain valuable insights and make…