Datamation content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More.
We’ve heard terms “infoglut” and “information overload” for years, but now we know just how much information we really consume.
U.S. households consumed about 3.6 zettabytes (define) of information in 2008, according to a study just released by the University of California, San Diego. One zettabyte is 1,000,000,000 trillion bytes. The researchers equated the total bytes consumed to thick paperback novels stacked seven feet high across the United States — including Alaska.
The research effort was announced last year
along with the sponsorship of several tech heavyweights including AT&T (NYSE: T), Cisco (NASDAQ: CSCO), IBM (NYSE: IBM), LSI, Oracle (NASDAQ: ORCL), Seagate Technology and PARC.
The study measured information consumed by U.S. consumers in and outside the home for non-work related reasons. This included going to the movies, listening to the radio, talking on a cellphone, playing videogames, surfing the Internet and reading the newspaper.
On average, a typical U.S. citizen consumes 34GB and 100,000 words of information a day, according to the report’s author, Roger Bohn, who directs the Global Information Industry Center at UC San Diego’s School of International Relations and Pacific Studies.
And where is all this information coming from? TV still rules. The report estimates on average, 41 percent of information time is spent watching TV. This includes DVDs, recorded TV shows and live programming. The advent of advanced mobile devices is having an impact, too. The report estimates American consumers watched 36 million hours of television on mobile devices each month.
Read the rest at Internetnews.
RELATED NEWS AND ANALYSIS
-
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
-
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
-
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
-
Top 10 AIOps Companies
FEATURE | By Samuel Greengard,
November 05, 2020
-
What is Text Analysis?
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
-
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
-
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
-
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
-
Top 10 Chatbot Platforms
FEATURE | By Cynthia Harvey,
October 07, 2020
-
Finding a Career Path in AI
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
-
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
-
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
-
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
-
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
-
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
-
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
-
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
-
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
-
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
-
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020