3 Steps for Better Data Modeling With IT, Data Scientists and Business Analysts Your email has been sent Data analysts can help build accessible and effective data models by defining business ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Opinion: Embedding generative artificial intelligence into a law firm’s operations can enable it to become more competitive ...

Boosting real-time data and analytics capabilities is a top priority for business leaders looking to gain competitive advantage through faster insights and decision-making. However, many organizations ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

The Consumer Financial Protection Bureau made it clear that it will continue to target auto finance lenders as one of its top supervisory and enforcement priorities in the Fair Lending Report of the ...