Optum has launched Value Connect, an AI-powered platform designed to help payers and providers operationalize value-based care models by combining clinical, operational and financial data into a ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...

Informatica’s latest release brings self-service tuning, LLM integration, and model governance to the forefront of enterprise data management. Informatica is adding new AI-based capabilities to its ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

Engineering teams can’t afford to treat AI as a hands-off solution; instead, they must learn how to balance experimentation ...

Data management tasks, including data integration, transformation and governance, have always been significantly important for operational and business intelligence purposes. But the need for these ...

What’s different today is that AI and data are no longer “the next big thing.” They are quickly becoming the baseline for how contractors protect margins, scale productivity and make faster decisions ...

Nutshell reports that AI tools are transforming sales, enhancing efficiency and productivity, but success hinges on data quality and implementation strategies.

While the incorrect data can produce AI-based "slop," a new agentic technology released today uses performance data to create agents that determine the best ways to represent the brand.

Artificial intelligence (AI) is increasingly reshaping medical imaging, yet its progress depends heavily on the availability of reliable, well-curated data. In eye health, the lack of standardized ...