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 ...

Quality data is the cornerstone of good business decisions. To ensure your data is high quality, it must first be measured. Organizations struggle to maintain good data quality, especially as ...

Where to start: clean data is crucial for successful AI integration It is clear that AI has many benefits, but an AI ...

SEE: Explore the top data management strategies for small businesses. Without good data quality practices, organizations will struggle to maintain complete, accurate information that can be ...

To improve how businesses use unstructured data, leaders should follow a series of steps that begin by addressing ...

By creating a layered approach using AI, including deep learning or machine learning (ML) models, researchers can create systems to separate low-quality data and rely on good bots to carry them out.

Each is necessary to create a viable governance framework. “Governance is how I can ensure that the data is of good quality,” Humphrey says. “It’s about processes end to end — everyone needs the same ...

The big data era may have started a decade-and-a-half ago, but for many companies, it’s the current AI revolution that’s forcing them to finally get serious about data management, says Informatica CEO ...

From our morning news briefing to a weekly Good News Newsletter, get the best of The Week delivered directly to your inbox. The ticking clock on high-quality data has forced AI developers to think ...

A key challenge in AIGC's growth is the quality of data that powers these systems. While the algorithms and computing power behind AIGC are impressive, the effectiveness of these systems is ...