In data-driven research, the most crucial resource is data. However, compared to AI-advanced fields such as natural language processing, computer vision, biology, and medicine, the data resources in ...

Infectious diseases continue to pose significant challenges to public health systems worldwide, particularly in settings where resources, surveillance ...

According to a recent McKinsey report, half of employees are seeking training in AI, highlighting a growing demand for AI literacy across industries. Research and insights professionals—skilled in ...

Carey Lohrenz Releases New Data-Driven Research Revealing Why 72 Percent of Workers Won’t Take Risks—And What Leaders Must Do About It Comprehensive study of over 1,000 business leaders exposes the ...

The healthcare industry is at the forefront of a data revolution. Real-world data (RWD) and the evidence it generates (real-world evidence, or RWE) are reshaping clinical research and treatment ...

A groundbreaking national initiative, Precision Omics Initiative Sweden (PROMISE), aims to connect research with healthcare and establish Sweden as a world leader in data-driven precision medicine.

Computational research is evolving at an unprecedented pace, demanding sophisticated tools that foster collaboration, enhance data management, and uphold the highest standards of security and ...

Data-driven control represents a paradigm shift in the design and implementation of controllers for both linear and nonlinear systems. Eschewing traditional reliance on first‐principles models, this ...

Data quality/accessibility and the AI revolution are heavily intertwined, as to deploy the latest AI tools effectively, organizations first need a data infrastructure capable of supporting them. To ...

Environmental data scientists use computing and mathematics to develop sustainable solutions for environmental problems. Environmental data scientists balance and combine expertise from multiple ...