Easily overlooked is the fact that the boom was a one-off event. The unique combination of the Year 2000 bug buildup, the Internet explosion and the telecommunications bubble is not likely to repeat during our lifetime.
The other reason for pause is the law of diminishing returns. You can buy the latest, greatest computer on the market, but people still only have a limited amount of time to learn everything in the handbook. As it is, folks can only handle a fraction of the functions getting built into hardware and software.
There can be several possible reasons if information overload:
* Too much information
* Can’t understand information
* Don’t know if the information exists
* Don’t know where to find information
* Can’t access information
* Don’t know if the information is accurate
One of the biggest problems we face today is handling large quantities of information. Our technology and access to information is impressive but it’s a double-edged sword. It fills our minds and our lives with clutter. The challenge is to sort, filter, organize, discard and assimilate the massive amounts of data we’re exposed to on a daily basis.
On an average day I receive over 150 emails—some days as many as 500. It’s easy to get overwhelmed. So what are we to do? Here are a few things I’ve found to help me manage my inbox better.
Following my talk in Singapore last month, I’d like to delve deeper into the question about what newspaper publishers outside the United States can do to avoid the market meltdown that’s already claimed a few papers in the U.S…. and endangers the survival of many more.
This advice applies not just to newspaper publishers outside the United States, but to all news publishers, including online start-ups and still-profitable U.S. papers, who haven’t yet had to resort to crippling staff or feature cutbacks to remain in the black.
Information Overload is the problem of dealing with the sheer amount of information available. It is the common ground between sorting through the news, sorting through email spam, and the problem of how to build a search engine. It is the problem of reading articles on the web, and getting the feeling that each one was important and valuable, and then afterwards deciding that you spent too much time reading articles on the web. The first problem is that there is too much junk to sort through; the deeper problem is that there is too much good stuff to sort through.
Information overload: are you affected by it? How can you better manage it? Are big companies giving us more and better information? How can you determine which information is worthwhile looking at? How to you decrease the noise created by the huge volume of info coming at you everyday?
Information overload is a two-sided problem: 1) The sender does not communicate her message efficiently 2) The receiver is unable to filter the information and evaluate which is the one she really needs.
MrBabyMan possesses a talent that’s particularly valuable in an era of information overload. You can think of him as a one-man Google—he scours the Web in search of links you love—though a better comparison might be to that of an older archetype, the tabloid editor with an eagle eye for a story of mass appeal. I’ve been a fan of MrBabyMan’s for some time, and I called him up last week in an attempt to unearth the secrets of his success. I didn’t get very far—Sorcini is a genial, friendly fellow, but when I asked about his process, he confessed that he couldn’t describe it very precisely. How does MrBabyMan get so many stories to Digg’s front page? The short answer is that every morning, afternoon, and evening, he checks a long list of blogs and news sites for Digg-worthy stuff. He shoots for adding between 10 to 20 new links to Digg every day, a harvest that requires about four to five hours of Web surfing.
Penn State researchers have developed new software that can help decision-making teams in combat situations or homeland security handle information overload by inferring teams’ information needs and delivering relevant data from computer-generated reports. The agent software called CAST (Collaborative Agents for Simulating Teamwork) highlights relevant data. This helps improve a team’s decision-making process as well as enhances members’ collaboration.
With everyone else paying attention to Y2K, the analysts at The Basex Group have had time to reflect on the great changes which have taken place since 1900, when electricity and telegraphy were first entering the popular consciousness.
In tribute to those years beginning with “19″, we have researched what we decided to name «19XX Milestones» and present these herewith…..