Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data has grades. Much like olive oil, flour, gasoline, beef ...

COMMISSIONED As enterprises increasingly adopt GenAI-powered AI agents, making high-quality data available for these software assistants will come into sharper focus. This is why it’s more important ...

The Data department at Bloomberg is dedicated to advancing data management capabilities across the organization. This department plays a crucial role in ensuring data integrity, accessibility, and ...

Following the explosion of generative AI (GenAI), 2023 was all about experimentation. Enterprises explored the possibilities of innovative technologies like ChatGPT, Bard and others. However, as we ...

However, not all data is created equal. Poor-quality information can distort strategic direction and lead to significant consequences. The principle of “garbage in, garbage out” underscores this risk: ...

In today's financial landscape, fintechs, banks and other lenders need to make sound credit decisions in order to stay afloat. And one of the most important factors in making accurate credit decisions ...

Fab operations have wrestled with big data management issues for decades. Standards help, but only if sufficient attention to detail is taken during collection. Semiconductor wafer manufacturing ...

BestX’s ability to capture, cleanse and normalise vast volumes of FX market data – and embed that intelligence into client workflows – has established it as the market’s benchmark for data ...

Collibra, Oracle, Tableau and Google Cloud Platform are among the best data management software that help businesses efficiently store, organize and analyze data. Data management software, not to be ...

For the first time in Korea, Hallym University Medical Center (Director Kim Yong-sun) has obtained the highest grade ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.