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 ...

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 ...

GUEST OPINION: Data is no longer restricted to a few controlled systems. It flows across environments, gets replicated for testing, shared with partners, and reused for analytics and AI initiatives.

In today’s data-driven world, the exponential growth of unstructured data is a phenomenon that demands our attention. The rise of generative AI and large language models (LLMs) has added even more ...

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 ...

I want to provide another real, down in the details, way to evaluate the various claims in the marketing automation field. Getting marketing data into a platform is one thing, but if the data is messy ...

In the age of information overload, critical thinking and agile work have become increasingly significant for startups to navigate through the noise to make informed decisions. Effective decision ...

When it comes to choosing a data provider to supply your business-to-business (B2B) data you are pretty much spoilt for choice. However, too much choice can sometimes make it all the more difficult to ...