Predictive analytics and machine learning help companies make better decisions by anticipating what will happen. Both approaches can predict future outcomes by analyzing current and past data. As such ...

Healthcare analytics leader Sachin Girdhar outlines why health systems must transition from predictive AI dashboards to ...

Population health programs continue to rely on blunt tools. Many risk stratification approaches emphasize historical utilization—basic risk scores or vendor-generated models that explain who was ...

Predictive analytics, a branch of advanced analytics, helps forecast future outcomes using historical data, statistical modeling, and machine learning. In industries like vegetation management, it has ...

DENVER, Sept. 23, 2026 (GLOBE NEWSWIRE) -- Colorado State University Global (CSU Global) is pleased to announce two new fully online programs beginning November 16, 2026: a Bachelor of Science in ...

Cloud-based athenahealth is expanding its portfolio to include machine learning and artificial intelligence with its acquisition of analytics startup Arsenal Health. Arsenal's Smart Scheduling tool ...

Predictive analytics is a form of advanced analytics that uses current and historical data to forecast activity, behavior and trends. It involves applying statistical analysis techniques, data queries ...

Boris Kontsevoi is a technology executive, President and CEO of Intetics Inc., a global software engineering and data processing company. In an era where the unexpected is becoming the norm, the ...

Predictive analytics in financial forecasting analyzes past and present data to improve the accuracy of planning and budgeting. Historically, accountants have depended on manual spreadsheet analysis ...

Dublin, Sept. (GLOBE NEWSWIRE) -- "Europe Clinical Data Analytics Market Size, Share & Industry Analysis Report by Component, Deployment Model, End-User, Application, Country Outlook and Forecast, ...

The global predictive maintenance market is projected to grow from USD 9.71 billion in 2026 to USD 16.74 billion by 2031, at an 11.5% CAGR. Growth is driven by industrial IoT, AI, machine learning, ...

Machine learning has emerged as a transformative approach in the design and evaluation of steel alloys, offering data-driven models that complement traditional physics-based methods. By training ...