Home > Uncategorized > Michael Dell Comments on the “Data Economy”

Michael Dell Comments on the “Data Economy”

This is a repost of my blog at  .

In this short interview with Inc., Michael Dell provides an overview of the company’s transformation into a leading player in the “data economy.”   

As Michael notes, with the costs of collecting data decreasing, more companies in a growing number of industries are making better use of existing data sources, and gathering data from new sources. 

And that’s where Dell has been enabling customers for years with solutions built with technologies like Hadoop and NoSql.  Helping companies and organizations make better use of this data, and assisting them in using it to solve their challenges, are just a few of the ways Dell has changed the Big Data conversation, and built an entirely new enterprise business along the way.

As a member of the Technology CEO Council, Michael also recently joined other tech CEOs to discuss the data economy with policy makers.  As an example of the potential of the data economy, he explained how Dell’s growing health information technology practice includes 7 billion medical images. These images are in an aggregated data set allowing researchers to mine them for patterns and predictive analytics.

“There’s lots that can be done with this data that was very, very siloed in the past,” Michael toldComputerworld, “We’re really just kind of scratching the surface.”

It’s certainly an exciting time to be at Dell – and the data revolution continues!

 

 

Advertisements
  1. No comments yet.
  1. No trackbacks yet.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: