The aim is to find new uses of real-world data in AI development, and to help health systems move from fragmented, compliance ...

Mohan Krishna Mannava's career illustrates how organizations can move from fragmented data systems and siloed insights to ...

NASHVILLE, Tenn.--(BUSINESS WIRE)--Ursa Health has introduced new capabilities to Ursa Studio, its ground-breaking healthcare analytics development platform, to help organizations meet the ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

In the face of an impending economic slowdown, making the right business decisions is more critical than ever. This article will explore how decision making using Big Data and data analytics can help ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Inflation and the Covid-19 pandemic have put pharmaceutical productivity front and center in ...

AI drives decision inputs: In 2025, both big pharma and small pharma use advanced predictive modeling, digital twins, and AI-powered analytics throughout R&D and regulatory processes. This reduces ...

The Pentagon is pausing development of Advana—its default data-analytics platform—so it can be upgraded to handle increased demand, according to an internal email obtained by Defense One. In the June ...