SAN JOSE, Calif. — Cloud services will be what the electrical grid was a century ago: the basis for a whole new set of services, markets and possibilities that can change the way we live and operate, but also threaten the dominant computing hierarchy.
That was the general theme of the closing keynote speech by Nicholas Carr, former executive editor of Harvard Business Review and author of the book “Does IT Matter?” He capped off a day of lectures and sessions here this week at the IDC Directions ’09 conference, sticking with the popular theme of the day, cloud computing.
Carr’s 2008 book “The Big Switch” compared cloud computing with how electricity was generated a century ago, and his speech built on that. Back in the 1800s, individual businesses built their own power generators. Sitting next to a company, whether it was a steel mill or a factory, was its own power plant.
The advent of Thomas Edison’s Direct Current (DC) power allowed for the creation of power plants that let companies simply pay for it from a third-party. DC power had a short transmission length, however, and in 1910, 60 percent of firms still generated their own power.
It was the arrival of Alternating Current (AC) from mad genius Nikola Tesla that allowed for long distance power transmission. Now we’re all plugged into the power grid and our lights, appliances and computers are powered by giant utilities.
Carr didn’t have a modern day equivalent to Tesla, but believes AC has arrived in the form of cloud computing. “We are moving today to a different assumption, where more and more it capabilities and services and assets will be supplied as services over a network,” he told the audience.
Computing power has become so cheap today, you can take things that existed as hardware, servers and storage, and turn it into pure software and run it on other computers, Carr said. “This is the essence of virtualization,” he said.
“The price of computing will go way, way down and accessibility of computing will go way, way up,” added Carr. “That will force companies to re-think how they build their products and connect with customers.”
He quoted Eric Schmidt, current CEO of Google, who said back in 1993 when he was CTO of Sun Microsystems: “When the network becomes as fast as the processor, the computer hollows out and spreads across the network.”
The Internet is becoming exactly what Schmidt predicted, Carr said, “a shared computer everyone can tap into and use for whatever, and at a price much cheaper than before.”
Moving to on-demand computing means a much greater pairing of capacity and demand, as companies will pay for what they need, as opposed to maintaining this steady amount of capacity that’s some times underutilized, other times overutilized. Capacity can adjust to customer needs and they only pay for what they need.
One example of this “democratizing of the Web” he cited was a big computing job at The New York Times. The venerable newspaper had scanned all of its issues dating back to the mid-1800s in TIFF file format, which is very big.
Faced with converting 4TB of TIFF files to something more usable, an IT staffer at the Times rented time on a 100 virtual machines on Amazon EC2 to convert all the TIFF files to PDF, which is smaller, lighter and easier to transfer over the Internet. The job was done in 24 hours and cost $240. It was a lot cheaper than tying up Times Co. servers for hours or days on the conversion, assuming the company had the horsepower to spare.
“I don’t think companies have realized what this is going to mean,” said Carr. “Not only what they can do quickly and cheaply without having to make a big investment, but the IT department won’t be the bottleneck for big computing jobs within the company.”
This article was first published on InternetNews.com.
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
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
FEATURE | By Samuel Greengard,
November 05, 2020
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
FEATURE | By Cynthia Harvey,
October 07, 2020
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 2021
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
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.