Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
BizML: Bridging the Gap Between Data Science and Business
  Eric Siegel, author of The AI Playbook, was...
The AI Hype Cycle Is Distracting Companies
 Originally published in Harvard Business Review. Machine learning has...
HR Analytics: Measuring Acquisition, Retention & Satisfaction
 Your firm is growing rapidly, and to maintain pace,...
To Avoid Wasting Money on Artificial Intelligence, Business Leaders Need More AI Acumen
 Originally published in Analytics Magazine, July 19, 2023. Business...
SHARE THIS:

7 years ago
The Big Picture: Today’s Data Analytics Stack

 

Enterprises are inundated with data from social, mobile, IoT and other technologies. The pace of the data flow is only accelerating. Over 300 hours of videos are uploaded on YouTube every minute, and this has grown from 100 hours every minute in 2013. Facebook users watch the equivalent of 750 years of video every day. Over 500 million tweets are generated on Twitter every day. The volume of digital data is doubling every 2 to 3 years, and is expected to reach about 40 trillion gigabytes by 2020. The total no. of ‘things’ that are connected/connectable, is expected to hit the 200 billion mark by 2020.

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.