Data quality is an essential aspect of any successful enterprise data management strategy. In today’s business environment, it is essential to maintain a high standard of data quality to support ...

Just because your firm can use your existing data for AI risk modelling doesn’t mean you should. There’s a perception that AI can create accurate predictions based on any data set. That’s not always ...

In a world covered with sensors and satellites, access to high-quality data that can help solve problems and improve systems ...

In today's data-driven business world, ensuring the accuracy, consistency, and reliability of data is crucial for making informed decisions and driving growth. Latest research from Experian found the ...

A recurring theme in big data over the past two decades is the poor quality of data. No matter how much ink is spilled on the topic, organizations continually seem surprised that the data they want to ...

We all understand the importance of data quality. Metrics—such as third-party validations, match rates, and accuracy scores—help us assess data quality on its own terms. Yet, too often, organizations ...

Today’s consumers expect more than just functional brand interactions. They expect intelligent, personalized experiences delivered in real time. According to McKinsey, 71% of consumers expect ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. GenAI is also making a splash in software development and mobile applications. In fact, due ...

In this episode of Need to Know, our series covering the topics and issues influencing markets and the global conversation, Michael Beal, Co-Head of Enterprise Data Science at Bloomberg, discusses the ...

Please provide your email address to receive an email when new articles are posted on . Multiple U.S. counties do not have regulatory ground-based air quality monitors. Pulmonologists and patients ...