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

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 ...

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 ...

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 ...

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 ...

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Data mesh is a hot topic in the data and ...

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 ...

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 ...

Using new tools to forecast ridership for better passenger rail planning. COVID-19 created a massive shift in ridership patterns, one that has not settled into its final new normal. This presents a ...