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What if we took all the data coming out of our
everyday devices and connect them? This means we can cook at home using our
mobile phones while working at the office, turn on the heater before we get
home, watch our children in playpens while we shop. We can have stock re-order
levels for business programmed onto electronic shelves; we can have intelligent
traffic lights that sync with ambulances on emergency response duty. Factories
can run on autopilot and systems could replace fraught manual effort.
Everything, everywhere, can be ordered intelligently
on the Internet. Wired describes this situation thus: In our houses, cars, and
factories, were surrounded by tiny, intelligent devices that capture data
about how we live and what we do. Now they are beginning to talk to one
another. Soon well be able to choreograph them to respond to our needs, solve
our problems, even save our lives.
In some ways, the IoT is already happening on a small
scale, but the global integration of small and big data is yet to happen. Many
intelligent embedded systems sit in manufacturing lines, production tables,
homes and offices disconnected from a symphony of sorts that could emerge,
where they are all hooked to intelligent robotic controls based on Artificial
Intelligence (AI) over the cloud.
Every time technology attempts an advance by a new
wave of learning, it is held back by some kind of fear, a fear with devastating
consequences could befall mankind. That when the conscious web takes charge of
lives, some ill-intentioned terrorists will crash a world wholly reliant on
devices and the scare that devices will get a mind of their own and turn
against man. Maybe, just maybe, it is the unpalatable concept of change, and
the rigour that new thinking and ways of things will demand of humanity that
irks.
Forecasts
from International Data Corporation (IDC) indicate that billions of things will
be connected worldwide by 2020, and companies are citing internal productivity
and efficiency as the primary drivers for this momentum toward IoT
investments.
However,
there is a complex equation of factors to consider in a business plan, with
unique challenges regarding Operations, Scale, Cost and Customer Service.
Where
do the major business cost contributors lie in IoT?
Understanding
the operational costs can help businessmen make smart decisions about the
technology, processes and partners you need.
This
will help businessmen ensure that their IoT initiatives run at the lowest cost,
highest availability and provide the best customer experience.
Top
operational costs
These
costs summed together make a strong case to leverage the benefits of a
dedicated IoT platform solution using software as a service (SaaS) or platform
as a service (PaaS) model.
PaaS
vs self-build
Infrastructure
A
self-funded developed platform can cost upwards of R2-3 million taken over then
first 12-18 months to reach a MVP.
Compare
this to a value driven per device per month fee model, which could cost 10-15
per cent per annum less for a 1,000 device network over the same period; and
can easily be operational in just a few weeks.
The
opportunity costs lost in the self-build platform can never be caught up, says
Andrew Groves of Trinity, who works with customers to develop intelligent,
connected IoT solutions.
Similarly,
starting business operations on either a savings or new revenue model in month
one can easily realise your business case objectives while the platform
capabilties keep evolving too.
As
such, a PaaS system can amount to 33per cent direct savings over self-build
infrastructure, while allowing you to choose from multiple local and
international mobile network operators (MNOs) connectivity networks.
Companies
of all sizes, across industries, can use an IoT service platform to capitalise
on IoT and get the most out of their things by getting them connected, Andrew added.
Choosing
IoT provider
To choose an IoT provider, look for real-time based monitoring and control; past history and deep experience cannot be substituted when considering an IoT partner; know your core competency, and leverage a platform for supporting elements; and having tools for full life-cycle management on all aspects will simplify operations massively.