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Long Term Information Technology Forecasting

Yogi Berra once said, "Predictions can beunderlying technologies, where increasing
tricky, especially when you're talking aboutcapabilities enable more complex applications
the future." And looking forward is certainlyand declining costs drive a positive
more perilous than using our 20-20 hindsight.innovation loop, lowering the cost of
However, the future of rapidly converginginnovation and enabling wider learning and
technologies is not so complex and uncertaincontributions from more people, thus
that a few reasonable speculations can't besustaining  the  technology  trends."
discerned.
The growth of a new technological capability
The truth about the biggest scientifictypically follows an S-shaped curve which
breakthroughs is that they often come when afollows three stages. First a slow initial
scientist takes a leap of imagination out ofgrowth allows the new technology to prove its
what is probable into what just might besuperiority over previous technology. Once
possible. Scientists seek to understand theirthis is demonstrated, rapid growth follows.
surrounds through three remarkable humanFinally, growth is limited by technological
characteristics: discovery, invention, andor socioeconomic competition which leads to
creativity.an  asymptotical  leveling  off.
Discovery is about with finding somethingThe S-shaped curve illustrates the progress
that is already there - like finding a goldof many inventions such as electrical
deposit. Invention is an ingenious product ofappliances. Many of the early analog signal
a culmination of many contributing ideas,processing devices developed a paradigm shift
like the invention of the telephone. On thewhich took nearly 50 years to come to
other hand, creativity is the product of apractical fruition as the adoption and
single mind like a play by Shakespeare.utilization of independently powered analog
Actually, there is a great deal more to themachines followed an S-shaped curve. Today,
scientific process, but 'seeing the bigthe growth of the digital competitors is
picture' requires an ability to understandfollowing  a  similar  pattern.
the  relationship  between  relationships.
In Connections: Patterns of Discovery the
Forecasting scientific breakthroughs requirespatterns of discovery are presented that
a look into the prospects of scienceproduced Moore's Law and the book explores
principles, technologies, and the economicthe question, "What is the software
incentives to identify areas of strategicequivalent  of  Moore's  Law?"
opportunity.
The patterns challenge the reader to think of
Lessons can be taken from past efforts. In athe consequences of extrapolating trends,
recent review of a 40 year-old forecastingsuch as, how Moore's Law could reach machine
study, Richard E. Albright commented on theintelligence, or retrench in the face of
one hundred technical innovations identifiedphysical  limitations.
as being considered very likely to be
developed in the last third of the twentiethFrom this perspective, the book draws the
century. While fewer than 50% of the'big picture' for the Information
predicted innovations were considered "goodRevolution's innovations in chips, devices,
and timely," Albright found that the accuracysoftware, and networks. One goal of science
rate for the areas of computers andis ubiquitous intelligence (UI) where
communications  rose  to  about  80%.everyone is connected to devices with access
to Artificial Intelligence (AI) - offering
Further, Albright concluded that "we shouldwhat Google founder Larry Page calls 'perfect
look for sustained and continuing trends insearch.



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