For IT teams, cutting tech debt and reducing toil is most likely at the top of their 2024 New Year’s resolutions. In the ever-evolving landscape of data management and artificial intelligence (AI), ...
In the early 2000s, manufacturers asked, “How can we collect more data?” The industry resoundingly responded. Today, manufacturers collect unprecedented amounts of data, causing many to remember the ...
Think of data lakes as a new-age data repository of “raw” data that offers developers and business users an extended set of features from basic reporting to machine learning to non-relational graph ...
The "data" part of the terms "data lake," "data warehouse," and "database" is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should they be stored in a ...
I've always wondered why most companies undermine the value of their data. When you think about it, your company's data conceals the answer to what happened, your ability to accurately grasp what's ...
Enterprise AI needs one thing if it’s to get around the limitations of large language models and deliver the results businesses need from their agents. It doesn’t matter if you’re building ...
Ingesting large volumes of disparate data can yield a rich source of information — but it's also a recipe for data chaos. Use these tips to improve data quality as your data lake grows. Image: ...
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