The availability of big data analytical tools for use in cardiovascular practice and research will grow rapidly Big data analytical applications, such as predictive models for patient risk and ...

We are fortunate to live in an exciting time where multiple technological leaps are occurring. Specifically, I am thinking of the mobile industry transition from 4G to 5G, and the cross-industry IT ...

As AI continues to dominate the technology landscape, the data underlying the information these artificial intelligence solutions train on is under more scrutiny than ever. Here, data professionals ...

“You can’t handle the truth.” We all remember Jack Nicholson’s iconic words in A Few Good Men as a seminal moment in pop culture. Yet, that statement has a lot of relevance for companies and their ...

One implication of ubiquitous sensing as evidenced by the rapid growth of the Internet-of-Things (IoT) is the explosive increase in data being collected. This data comes from myriad sources: According ...

Gone are the days when marketing decisions were guided by intuition and experience. Important marketing decisions are now determined by big data. This refers to the study and application of big, ...

One of the critical decisions facing companies embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record, the ...

Businesses are struggling with the rapidly increasing volume, speed and variety of information being generated today – what's come to be known as big data. Companies are seeking technologies that not ...

What Makes Big Data Big? Data scientists refer to the elements of big data as “the three V’s”: Volume. There’s a lot of it. An IBM estimate says that most businesses have more than 100,000 gigabytes ...

Big data refers to the massive volume of information that cannot be easily processed or analyzed using traditional methods, such as using standard databases and software. Big data comes from many ...

One certainty is that manufacturing processes continue to get better at producing data-primarily due to rapid cost reductions and improvements in data collection, communication, and storage ...