A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...

The modern healthcare data stack unifies patient data for real-time clinical and operational insights to improve decision-making in health systems.

To make productive use of the ever-growing volumes of data, businesses and organizations need the right database systems to manage all that data and make it available for transactional and analytical ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

We are approaching a moment where financial systems behave less like human-run institutions and more like intelligent, ...

In the One Big Beautiful Bill era, capacity is more than a scheduling concern for hospitals and health systems — it’s a ...

You often hear entrepreneurs say, “We don’t know what we don’t know,” when talking about deficiencies in data gathering. But when you have data in silos, it’s more a case of “We don’t know what we DO ...

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...