At Ochsner Medical Center in New Orleans, a team of workers has been outfitted with smartwatches. When a patient is in danger of “coding” (medical argot for a cardiopulmonary arrest happening to a ...

Recency bias is an underappreciated challenge in data analytics, particularly when historical data is used to draw trends and make predictions. Rolling Stone recently updated its list of the 500 ...

Reents—who heads Cravath, Swaine & Moore's e-discovery and data analytics practice—talks about the challenges and benefits of implementing machine learning and analytics in legal practice, and why ...

Data is arguably the most valuable asset for today’s businesses. This means it’s vital that people across the organization are able to work with data and extract insights – insights that (hopefully) ...

Join a group of industry experts as they discuss – over Twitter – the core challenges in enterprise-level data analytics. Written by eWEEK content and product recommendations are editorially ...

In my courses for Columbia's M.S. in Applied Analytics program, I emphasize analytical thinking as one of the most critical ...

In a recent Leadership Perspective Survey from Evanta, nearly 900 CIOs indicated “data and analytics” as a top priority to ensure their enterprise goals are met.[1] To address this priority, ...

The strategic cloud service provider is expanding its big data insights practice through the acquisition of Aptitive, a provider of data management and data analytics consulting services and leading ...