The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey ...

When we talk about artificial intelligence (AI) in business and society today, what we really mean is machine learning (ML). This refers to applications that use algorithms (a set of instructions) to ...

What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...

The AHEAD Institute warehouses large, research-ready databases to meet your project's needs. Many databases are de-identified and using them has been deemed non-human subjects research by the Saint ...

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

Multifamily market data is essential to investors and analysts in understanding market trends driven by shifting demographics, economic trends and supply. Data is the cornerstone of any operational ...

Every project, no matter how big or small, is a race against time. The longer it takes, the less profitable it is. And while shortcuts can save time, they can also lead to accidents. Striking the ...

Engineering teams are wrestling with how to identify the root causes of silent data corruption (SDC) in a timely and cost-effective way, but the solutions are turning out to be broader and more ...

As AI companies keep building bigger and better models, they’re running down a shared problem: sometime soon, the internet won’t be big enough to provide all the data they need. As the Wall Street ...

An ad hoc panel of nationally renowned experts in social science research, computing technology, statistical methods, privacy, and use of alternative data sources in the United States and abroad will ...