The closer organizations come to harmonizing accuracy, accessibility and AI, the more effectively they can unlock value that ...

Forbes contributors publish independent expert analyses and insights. Faculty member at Columbia University. Founder and CEO of OORT. As the world remains fixated on the intensifying war over AI ...

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.

Healthcare organizations lack easy access to reliable data on safety, which hinders their ability to improve safety, according to a commentary in American Journal of Medical Quality. 1. Develop valid ...

Data management needs AI and machine learning (ML), and, just as important, AI/ML needs data management. As of now, the two are connected, with the path to suc­cessful AI “intrinsically linked to ...

Data quality is more important than ever, and many dataops teams struggle to keep up. Here are five ways to automate data operations with AI and ML. Data wrangling, dataops, data prep, data ...

Data lakes have emerged as a pivotal solution for organisations seeking to harness vast, heterogeneous datasets. This strategy involves storing raw data in its native format in a centralised ...

Data quality/accessibility and the AI revolution are heavily intertwined, as to deploy the latest AI tools effectively, organizations first need a data infrastructure capable of supporting them. To ...

The growing availability of low-cost air quality sensors is helping people across the world track air pollution. Headway The growing availability of low-cost air ...