Transportation agencies are leveraging emerging technology to identify hazards earlier and reduce severe crashes ...

The numbers are in, and results have confirmed a well-known hypothesis: shippers and consumers appreciate real-time shipping visibility of packages in transit, with a truck on a map. They’re almost ...

Angela Zubel, chief development officer, Debiopharm, explains how AI-enabled site selection, patient allocation, and real-time data monitoring can reduce costs, shorten timelines, and limit ...

How temporal predictive analytics can improve antibiotic prescription, sepsis care As EMRs become more prevalent, there are greater opportunities for hospital IT leaders to leverage valuable medical ...

Zubel: In terms of analytics and AI, faster clinical data monitoring is already achievable. Predictive modeling is improving, but accuracy remains a challenge, particularly in oncology.

Predictive analytics is transforming the insurance industry, enhancing efficiency and risk management. ✓ Learn more and subscribe.

In February 2024, Mount Sinai's dedicated team of researchers were granted $4.1 million by the National Heart, Lung, and ...

Predictive analytics is one of the most powerful tools at your disposal when it comes to decision-making in Six Sigma. Data drives quite a bit of any business’s operations under Six Sigma, so it ...

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 ...

The COVID-19 pandemic showed that what can differentiate a winning business from a losing business is the agility with which it responds to events as they happen. And to make this possible, ...