AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a ...

Without high-quality, well-governed data, every downstream AI initiative becomes fragile, expensive, inaccurate or downright ...

In the next few years, software testing — a critical but traditionally manual phase of development — is poised for a ...

This AI inspection system learns directly from production lines and finds defects within seconds—no vision expertise or ...

Caseware is also working with the AICPA and CPA.com on the Dynamic Audit Solution (DAS), a cloud-based audit platform that integrates real-time data ingestion, analytics-driven risk assessment, ...

Use these structured prompting techniques to improve the quality and usefulness of AI output in testing workflows ...

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 ...

As the push to integrate artificial intelligence and increase interoperability evolves, Clinical Architecture sees a dire need for tools that can assess the quality of healthcare data. Poor quality ...

Objectives: To estimate the prevalence of ambient artificial intelligence (AI) documentation tool adoption among US hospitals using Epic electronic health record (EHR) s ...

When scientists and regulators need clear answers to health risks—such as whether Tylenol causes autism (it doesn’t)—they typically turn to systematic reviews, widely regarded as medicine’s gold ...

Aiarty reinforces responsible innovation with offline desktop AI tools where image and video processing occurs locally.