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 ...

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 ...

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 ...

An approach through Agile development and model quality simulation. The concept-development and acquisition communities have long treated artificial intelligence and machine learning (AI/ML) as ...

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 ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

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 ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

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 ...