Data is used in many aspects these days.
There is no such industry which doesn’t use data. Industries, educational
institutions, government organizations, newspapers, all of these, contain data.
As we are in the digital world, let’s consider data on the basis of technology.
Various areas wherein we use data in the field of science and
technology:
·
We use data in
programs to make an application run. Not just the application software, even
the system software makes use of a specific set of instruction as a support of
the system. These instructions are nothing but data.
·
Data used in robotics-
the so called machine learning and artificial intelligence that is emerging at
the present and so is robotics. The need for major tasks to be done is being
dependent on the use of machines.
·
Research laboratories-
laboratories contain a thesis about current project they are dealing with and
may require the use of materials like internet, desktops, etc. All of this makes
use of data in large numbers.
Robotics is the field that has increased
its importance from the past 5 years. Earlier, robots were made in a way such
that it functions according to how the programmer programs it. But in the
recent years, the machine is made able to learn things by itself. Not
everything is being programmed. This concept is called machine learning. The
concept cannot be explained by just a two-letter word. Robotics technology is
much more. We see robots in many forms.
Different robotic discoveries done recently are:
·
Drones: These are the
flying objects controlled by a remote control device. It is used for various purposes.
Usually drones are used to capture video and images of something controlled by
human intelligence. However, each drone is programmed differently and the
specifications for those are quite different. Few drones have the ability to
detect different objects. It is able to track moving objects.
·
Walking robots: you
must be wondering how this works. Well, it does not use GPS. The frame buffer
of the robot is filled with images of the path it has to follow and consist of
left and right instructions to follow the path required. This concept is used
in drones as well.
What does all of this do? It stores the
data the programmer feeds into the buffer. The way it is stored is handled by
data science sub concepts like statistical analysis, data mining and the concept
under data science that we are discussing right now is artificial intelligence
which is a part of data science.
We can implement programs using many
programming languages and one such language is raspberry pi (especially for
robotics). It uses the concept of IoT, cloud computing, etc. All of this
involves the technique of knowing how you deal with the data that you want to
handle.
It is emerging in various fields like health
care and transportation, education, etc. The need for knowledge about dealing
with such vast and complex data becomes an important aspect.
Resource box:
As we all are led to a world of
technology, data rate is increasing day by day, the need of knowledge of data
science is quite important. Data is never going to go down. So this is the best
career path you can take up when you want to become a technical person. To make
it convenient, Excelr has come up with data
science course, Singapore that trains and guides you through your
course to achieve a good career.
