Top Technological Trends – 2019
Introduction
Technology is advancing at such a
rapid pace that by the time this blog post gets published there could have been
a monumental change in the IT sector. As much as we can’t believe it, the first
ever successful moon mission – The Apollo 11 had an 8 bit processor, with 2048
bytes of RAM, 1024 bytes of EEPROM and 32K bytes of flash storage and weighed
11 pounds now compare that with the specs of your smart phone through which
many of you will be reading the article. But as of now the technological trends
that you need to watch for in 2019 are as follows:
Artificial Intelligence
Far too many people still consider
AI as a bleeding edge technology when the truth could not be any further away.
In fact, AI has been around since the 1950s and we make use of it on a daily
basis in the form of smartphone personal assistance, ride sharing apps and many
more. It makes sense that AI is more widely used in all sectors and fields as
it can do pretty much any task faster and more accurately than a human.
Machine Learning
Contrary to
popular beliefs, Machine learning is merely a subset of Artificial Intelligence
where the device learns to perform a task that it was not initially programed
to do. It literally learns the new task by discovering patterns and insights
from the data it receives. In a sense it is actually programmed to pick up the
data and learn the new skill and given enough time, it can perfect it.
Blockchain is almost always associated
with Bitcoin because it was Bitcoin that introduced the concept of blockchain
to a wider audience. Blockchain got a bad name because the same was used as
crypto currency, when in fact, it is one of the most brilliant security
techniques to have ever come up and when used in the right sector can
revolution the security aspect as a whole. Several bank firms have already
started adopting the same.
Augmented Reality
Many of you would be familiar with AR’s older
brother, virtual reality. The main difference between Augmented Reality and
Virtual Reality is that in VR, our senses are fooled into being in a different
space while in AR, it overlays digital content on the real world to be able to
be intractable. The perfect example of AR can be seen in the ever popular
Pokemon go that was released in 2017.
Internet of Things
This wireless technology is still
in its budding stage, bit it needs to be said that its applications right now
itself are near limitless. To be able to control every digital device in your
home from the palm of your hands is a lot of power in itself and it can be seen
that we have not even scratched its surface as of now. It is believed that it
by 2020, the number of IoT devices in the world is expected to reach 30
billion.
Edge computing
To implement most of the above
mentioned technological features one requires high computation capabilities with
very low latency and the technology that was once called cloud computing is the
answer. It has been designed so as to overcome the latency issues that arose
with cloud computing.
Edge computing is designed to help
solve some of those problems as a way to bypass the latency caused by cloud
computing. It can act like mini datacenters in remote locations with limited or
no connectivity to a centralized location.
Connected Clouds
The biggest advantage of connected
clouds over the stack option will be the visibility factor. Depending on the
platform you’ll be able to view into all your data that would otherwise have
remained hidden. There are several emerging Cloud vendors waiting to bring the
power of connected clouds to every aspect. The other added advantage is that as
your vendor expands and acquires new capabilities, you can utilize a new set of
tools without incurring additional costs.
Smart spaces are physical
environments that have been designed with monitors and sensors that enable
humans and integrated technological systems to interact. These spaces are proven to increase energy
efficiency, improve personal and professional productivity and also simplify
complex processes. It is still in the budding phase but is planned to be
incorporated in several sectors as soon as 2020.
Conclusion
Personalization will be the
cornerstone of all changes and just like how chatbots are now actively turning
into AI assistants, the users will get used to them very quickly and would
depend on them in all aspects. The
devices will be so programmed that they can adapt themselves to the individual
needs of the owner after a certain period. Slowly but surely people are relying
more on their assistants and it makes sense so as to get that personalized
experience.
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