The semantic web, or web 3.0, is often quoted as the next phase of the Internet. In a previous post
I discussed the impact of big data on the semantic web and I mentioned
that the semantic web will enable all humans as well as all internet
connected devices to communicates with each other as well as share and
re-use data in different forms across different applications and
organizations in real-time. The future of big data takes full advantages
of the semantic web and it will have a vast impact on organisations and
society.
Jason Hoffman, CTO of Joyent, predicts
that the future of big data will be about the convergence of data,
computing and networks. The PC was the convergence of the computing and
networks, while the convergence of computing and data will enable
analysis performed directly on Exabytes of raw data enabling ad hoc
questions to be asked on extremely large data sets.
Artificial
intelligence that will match human intelligence will allow us to ask
questions and finding answers more easily by simply asking natural
questions to computers. Already Japanese scientists have built a
super-computer that mimic the brain cell network and reached 1% of brain
capacity. To achieve this that simulated
a network consisting of 1.73 billion nerve cells connected by 10.4
trillion synapses. The process took 40 minutes, to complete the
simulation of 1 second of neuronal network activity in real, biological,
time. In the coming years these super-computers will become the
standard. At the moment, users still need to know what you want to know,
but in a future with such super-computers it is all about the things
that you don’t know.
The
real benefits will be when organizations do not have to ask questions
anymore to obtain answers, but simply find the answer to question they
never could have thought of. Advanced pattern discovery and
categorization of patters will enable algorithms to perform the decision
making for organizations. Extensive and beautiful visualizations will
become more important and help organizations understand the brontobytes
of data.
Big data scientists will be in very high-demand in the coming decades, as McKinsey
also predicted in 2011 already. The real winners in the big data
startup field however, will be those companies that can make big data so
easy to understand, implement and use that big data scientists are not
necessary anymore. Large corporations will always employ big data
scientists, but the much large market of Small and Medium sized
Enterprises do not have the money to hire expensive big data scientists
or analysts. Those big data startups that enable big data for SME’s
without the need to hire big data experts will have a huge competitive
advantage.
The algorithms developed by those big data startups
will become ever smarter, smartphones will become better and in the
future anyone will have a supercomputer in its pocket that can perform
daunting computing tasks in real-time and visualize it on the small
screen in your hand. And with the Internet of Things and trillions of
sensors, the amount of data that needs to be processed by these devices
will grow exponentially.
Big data will only becomes bigger and brontobytes
will become common language in the boardroom. Fortunately, data storage
will also become more widely available as well as cheaper in order to
cope with the vast amount of data. Brontobytes of data will become so
common in boardrooms, that eventually the term big data will disappear
again and big data will become just data again.
However, before we
have reached that stage, the growing amount of data that is processed
by companies and governments will create a privacy concern. Those
organizations that stick to the ethical guidelines will survive, other organizations that will take privacy lighthearted will disappear, as privacy will be self-regulating.
The problem will be however with the governments as citizens cannot
simply move away from their government. Large public debates about the
effects of big data on consumer privacy will be inevitable and together
we have to ensure that we do not end-up in Minority Report 2.0 or in a
‘1984-setting’.
The future of big data is still unsure, as the big
data era is still unfolding, but it is clear that the changes ahead of
us will transform organizations and societies. Big data is here to stay
and organizations will have to adapt to the new paradigm. Organization
might be able to postpone their big data strategy a little bit, but we
have seen that organizations that already have implemented a big data
strategy, do outperform their peers. Therefore, start developing your
big data strategy, as there is no time to waste if your organization
also wants to provide products and services in the upcoming big data
era.
Original article
How Will the Future of Big Data Impact the Way We Work and Live?
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