If you work with data, or data people, you’ve probably heard the saying “garbage in, garbage out.” It’s shorthand for what happens when you train models on poor-quality data. The point is this: If you ...

Talk of automation and AI has made it easy to forget who this technology is really for. The power of a business doesn’t come from its tools or algorithms—it comes from the people who know how to turn ...

Bad customer data – databases where customer data is inaccurate, incomplete and inconsistent – causes huge issues for financial institutions. Accurate customer data informs effective customer ...

The world runs on data. A hallmark of successful businesses is their ability to use quality facts and figures to their advantage. Unfortunately, data rarely arrives ready to use. Instead, businesses ...

As major consumers of energy and water, data centers face increasing scrutiny to demonstrate their commitment to sustainability and environmental responsibility. While many organizations invest ...

Have you ever spent hours wrestling with messy spreadsheets, only to end up questioning your sanity over rogue spaces or mismatched text entries? If so, you’re not alone. Data cleaning is one of the ...