There are currently two models by which the information highway will reach homes – either by telephone line or cable television line … We need a model that goes beyond these two to one with different-size pipes and whatever size platform we decide to use.
Predictor: Hayes, Dennis
Prediction, in context:In a 1994 article for Computer Reseller News, Ken Yamada talks with Dennis Hayes. Yamada writes: ”Panelist Dennis Hayes, founder of Hayes Microcomputer Products Inc., Norcross, Ga., said there are currently two models by which the information highway will reach homes – either by telephone line or cable television line. Hayes described the telephone model as a standard pipeline that will plug into many different kinds of devices. The cable model, he described, is a closed system. But those two models will not serve the needs of the information highway of the future, Hayes said. ‘We need a model that goes beyond these two to one with different-size pipes and whatever size platform we decide to use,’ he said.”
Biography:Dennis Hayes, served as chairman of the U.S. Internet Industry Association, the primary North American trade association for Internet commerce, content and connectivity. In 1977, he developed the core technology for the Hayes asynchronous modem, the device that enabled computers to communicate with one another across common telephone lines. This device for the first time put computer communications within the reach of ordinary families. It created the means for online services to develop Ð from the early services like CompuServe, to the bulletin board systems of the early ’90s. (Pioneer/Originator.)
Date of prediction: January 1, 1994
Topic of prediction: Information Infrastructure
Subtopic: Pipeline/Switching/Hardware
Name of publication: Computer Reseller News
Title, headline, chapter name: Defining Roadblocks: Navagating the Information Superhighway
Quote Type: Partial quote
Page number or URL of document at time of study:
http://proquest.umi.com/pqdweb?Did=0000000013737097Fmt=3&Deli=1&Mtd=1&Idx=9...
This data was logged into the Elon/Pew Predictions Database by: Harrison, Nichelle N.