Leveraging artificial intelligence is a transformative solution to long-standing issues in healthcare data management and patient outcomes, one that stands to ease the burden and create a balance for ...

“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Ellen Houston, managing director of ...

One of the biggest challenges to deploying and scaling artificial intelligence is ensuring the data being used to train AI algorithms is accurate and timely. Using bad data hampers an organization’s ...

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 ...

Thirty-Day Unplanned Hospital Readmissions in Patients With Cancer and the Impact of Social Determinants of Health: A Machine Learning Approach There is strong interest from patients, researchers, the ...

Synthetic Data Metrics is an open-source Python library for evaluating model-agnostic tabular data by pitching machine generated data sets against real data sets. MIT Computer Science & Artificial ...

Significantly cuts down on the time and resources it takes to evaluate data for a variety of investment research and operational workflows Bloomberg today announced the launch of its new Virtual Data ...

When instructors teach, whether intentionally or not, they evaluate their courses. Evaluation may occur informally, based on their opinions of how the course went, reflections on what worked well, and ...