Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

When asked about their main challenges in adopting AI over the next two years, C-suite leaders cited data issues as their top ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Earlier this month, Bloomberg launched its Virtual Data Room (VDR), which is transforming how firms access and evaluate data. Traders Magazine caught up with Brian Doherty, Bloomberg’s Global Head of ...

Telecom networks are closer than ever to being able to fix their own data, and the implications are significant.

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A new report from AI data provider Appen ...

An article recently published in Nature proposes a new way to evaluate data quality for artificial intelligence used in healthcare. Several documentation efforts and frameworks already exist to ...

Every retail initiative, whether it’s AI, personalization or supply-chain transparency, depends on trustworthy customer data.

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 ...

Harnessing data to improve the equity, affordability, and quality of the health care system. In association withJPMorgan Chase The application of AI to health-care data has promise to align the U.S.