Assuring data quality should be one of the most important goals for IT professionals. This is truer today than it has ever been as organizations rely on data to power their AI and machine learning ...

The conversation about artificial intelligence typically orbits around model architecture, parameter counts, and ...

In the eyes of many, data -- clean, clear and accurate data -- rules the universe. When data suffers from poor quality, however, both the business and its customers can suffer. And even when data is ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. We’re just starting to tap the potential of what AI can do. But amid all the breakthroughs, ...

What Is Data Integrity & Why Is It Important? (Definition & Types) Your email has been sent Data integrity ensures the accuracy and reliability of data across its entire life cycle. Learn more about ...

AI is all about data, and the representation of the data matters strongly. But after focusing primarily on 8-bit integers and 32‑bit floating-point numbers, the industry is now looking at new formats.

Once again, in the world of SOA, we need to focus a bit more on data. Let's look at critical data management mechanisms, including abstract data types. Transformation mechanisms, which are part of SOA ...

As companies create machine learning models, the operations team needs to ensure the data used for the model is of sufficient quality, a process that can be time-consuming. Bigeye (formerly Toro), an ...