Divya Chockalingam is a data analytics professional with a strong background in leveraging AI and machine learning to address ...

In fact, 52% of insurance executives identified AI as the most critical technology for achieving their business ambitions in coming years​. Insurance underwriting, claims processing and fraud ...

The life and health insurance industry landscape across the globe is now confronting mounting challenges such as incre ...

In a time when chronic disease is taking the most lives in human history, there’s one silent killer still working to cut ...

In this rapidly growing digital era, artificial intelligence (AI) is not just enhancing convenience but fundamentally ...

This is where analytics begins to proactively impact decision-making. I’ve seen clients use predictive models to forecast sales pipeline health, identify fraud risk in real-time, or assess which ...

Every health plan is unique and will ultimately weigh the risks and benefits of a given use case differently. We developed a ...

What if data could help predict a patient's prognosis, streamline hospital operations, or optimize human resources in ...

Furthermore, predictive analytics can anticipate patient responses to certain medications or treatment regimes, based on their genetic makeup, lifestyle, and previous health records, which allows ...

From remote-controlled thermostats to early leak detection, smart systems are transforming rental living. Learn how these ...

The complex and evolving AI regulatory landscape for insurers is again on the move. The Colorado Division of Insurance (the Division) has ...