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Six great tech ideas that failed to take off

Legendary IT promises that didn't deliver

IT history is fraught with 'transformational' sales pitches that fall far short. We look at the six technologies that dramatically failed to take take-off and live up to the promise.

In the world of technology, you'll always stumble across a piece of transformational technology that promises to revolutionise the enterprise, slash operational costs, reduce capital expenditures, align your IT initiatives with your core business practices, boost employee productivity and leave your breath clean and minty fresh.

However, they generally fail to live up to the promise. Eras shift, technologies change, but the sales pitch always sounds eerily familiar.

In virtually every decade there's at least one.

Today, cloud computing, virtualisation, and tablet PCs are vying for the hype crown. At this point it's impossible to tell which claims will bear fruit, and which will fall to the earth and rot.

Looking back with 20/20 hindsight, however, it's easy to see how we got sucked into believing claims that simply weren't true - whether they were about the promise of artificial intelligence or the practicality of enterprise resource planning.

Here then are six technologies - five old, one new - that have earned the dubious distinction of being the hype kings of their respective eras. Think about them the next time a sales team comes knocking on your door.

1. Artificial intelligence

Era: Late 1950s to present

The pitch: "Some day we will build a thinking machine. It will be a truly intelligent machine. One that can see and hear and speak. A machine that will be proud of us." - Thinking Machines, year unknown.

Once upon a time, machines were going to do our thinking for us. And then, of course, they'd grow tired of doing humanity's bidding and exterminate us.

The good news? We haven't been over taken by the machines (yet). The bad news is that artificial intelligence has yet to fully deliver on its promises.

Like, for example, in 1964, when researchers at the newly created US Stanford Artificial Intelligence Lab assured the Pentagon that a truly intelligent machine was only about a decade away.

Guess what? It's still at least 10 years away.

Several times in the decades since, companies have tried to build an industry around AI computers - largely supported by government research dollars - only to run headfirst into an 'AI winter' when the funding dried up.

"The longest failing technology has been AI and expert systems," says John Newton, CTO of Alfresco, an open source enterprise content management vendor.

Newton began his tech career intent on studying AI, but ended up working with databases instead. "For 40 years, AI has not delivered."

Or maybe it has, but in subtler ways than the so-called thinking machines first envisioned when Stanford computer scientist John McCarthy coined the term ‘artificial intelligence' in 1956.

Technologies that seem mundane to us now would have looked a lot like artificial intelligence 30 or 40 years ago, notes Doug Mow, senior VP of marketing at Virtusa, an IT systems consultancy.

The ability of your bank's financial software to detect potentially fraudulent activity on your accounts or alter your credit score when you miss a mortgage payment are just two of many common examples of AI at work, says Mow.

Speech and handwriting recognition, business process management, data mining, and medical diagnostics - they all owe a debt to AI.

Now AI is going through another resurgence. Backed by Google and NASA, AI research may provide the intelligence behind next-generation search engines and interplanetary travel systems.

The next game-changing technologies could emerge not from MIT or Stanford but Ray Kurzweil's Singularity University, an institution dedicated to the convergence of machine and man. The hype continues to flow freely.

Who knows? We may yet earn the respect of our computers - at least, enough for them to keep us around a little longer.

Small business IT advice

NEXT PAGE: Computer-aided software engineering

  1. The legendary IT promises that didn't deliver
  2. Computer-aided software engineering
  3. Thin clients
  4. ERP systems
  5. B2B markplaces
  6. Enterprise social media


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