INNOVATIONS FROM THE EDGE - KPIT
INNOVATIONS FROM THE EDGE - KPIT
INNOVATIONS FROM THE EDGE - KPIT
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1. Introduction<br />
Innovation seems to be a buzz word around all the<br />
industries. We understand the meaning of<br />
innovation very well but the question is do we<br />
really understand how innovation happens.<br />
Innovations could happen due to some necessity,<br />
or the person working on a problem is a creative<br />
person, or out of sheer luck, or just a combination<br />
of all of the above. Whatever the reason,<br />
innovations happen all around us. Innovations are<br />
of two broad types. One category of innovations<br />
is commonly referred as incremental innovations<br />
since they build on top of some other innovations.<br />
The other category of innovations, are what we<br />
call innovations that happen at the edge. In this<br />
article, we are going to discuss innovations<br />
resulting from the edge. We will discuss what we<br />
exactly mean by “edge” and why one should strive<br />
for such kind of innovations.<br />
II. Innovations from the Edge<br />
Edge is the boundary or a crossover between the<br />
organizations, domain, technology, market and<br />
geographical areas [10]. Edge is a place where,<br />
most disruptive innovations take place, many<br />
path-breaking solutions to customer's problem<br />
are found, and environmental friendly solutions<br />
are unearthed. Therefore, the next question could<br />
be “If there is a huge potential of innovations on<br />
the edges, what prevents people from working on<br />
the edge”. The reason behind this is high risk<br />
associated in working on the solutions using cross<br />
boundary technologies. It requires more<br />
investments without a fixed, proven path and<br />
there is no guarantee of success [11]. However,<br />
the magnitude of success out of the innovations<br />
from edge is very high and that is a motivation for<br />
researchers to think beyond the boundaries of<br />
company, beyond their comfort zone and most<br />
importantly beyond the technology areas.<br />
Jaipur Foot<br />
Let us take an interesting example of “Jaipur foot”<br />
which is the artificial limb for disabled people. One<br />
can visit their center for consultation in Jaipur,<br />
India. After giving necessary inputs, a person can<br />
walk out with an artificial limb in just few hours.<br />
How is it possible to make the process so simple It<br />
becomes possible because of the use of<br />
technologies from different domains and<br />
collaboration. This discipline is called as<br />
biomechanics. The process involves chemistry to<br />
select the right material, mechanical engineering<br />
to design coupling and screws, and last and the<br />
most important, human psychology to understand<br />
the needs and emotions of disabled people.<br />
Biomathematics<br />
During your high school days, when you were<br />
studying biology and mathematics, did you think<br />
that there is some relationship between these two.<br />
The two look like North Pole and South Pole and<br />
share no commonality at all. So, what is<br />
biomathematics Well, it is a branch that deals with<br />
biology, mathematics and computing all in one.<br />
Why do you need these fields to come together<br />
Well, biology consists of data rich information set<br />
like genomics, which becomes easier by using<br />
analytical tools. Mathematical tool like chaos<br />
theory can be used to model nonlinear concepts in<br />
biology, which was not possible earlier. Evolution of<br />
computing technology inspired to simulate<br />
complete biological systems for understanding it<br />
better and in less time. Hence, research of<br />
theoretical biology can go places by collaboration<br />
amongst mathematicians, engineers, biologists,<br />
physicists, geneticists, zoologists and other<br />
branches that are on edge of above-mentioned<br />
branches [14].<br />
Ecosystem Modeling<br />
Ecosystem modeling [13] is the mathematical<br />
representation of ecological system. This<br />
mathematical model can further be used to<br />
simulate real system to produce more information<br />
about the ecosystem that otherwise is not possible<br />
without waiting for long duration. Such simulation<br />
can be used in other domains. Some of these<br />
domains include agricultural management,<br />
wildlife conservation, computer science, and<br />
mathematics. Ecological model is one of the finest<br />
examples of cross-domain innovations since it uses<br />
mathematics, modeling and simulation to solve<br />
problems in different disciplines.<br />
6<br />
TechTalk@<strong>KPIT</strong>Cummins, Volume 5, Issue 1, 2012