Artificial intelligence has come a long way from being just a
science fiction dream to a reality which we see today. The world is evolving at
a rapid pace and with it the technologies are being upgraded and are getting
better too. Today we have more power in our pocket than we had in our homes in
the 1990s. Not long ago, holograms and smartphones were just science concepts
but now the smartphones can check our health as the technology is evolving.
Some of the application areas of artificial intelligence are health,
education, entertainment, services, security and many other domains but these
fields are specifically the most to benefit from this technology. People are
beginning to explore the benefits of AI and how it can ease their life.
Artificial Intelligence and Machine Learning go hand-in-hand so that machines
can learn about critical programs to gain knowledge and respond to demands to
perform similar human-like tasks. Artificial Intelligence enables a
machine to self-learn from experiences and human intervention which finally
provides us human like capabilities for interaction and problem solving
potential. From chess-playing computers to self-driving cars, AI is present in
many areas which we not might have thought of. AI makes use of Deep
Learning and Natural Language Processing (NLP) to accomplish tasks like these
which drives automation and intelligent processes.
Recently the most progressed
fields are Augmented Reality, Virtual Reality, Voice Assistance and Artificial Intelligence, and people are beginning to wonder what
the future might be like with this kind of technology. To explain these
technologies in 2 lines I would like to start with Augmented Reality, which
combines virtual objects with the real world which gives an interactive
experience by computer generated perceptual information. Another one is the
Virtual Reality which is a computer generated simulation of a 3D image which
can be interacted in a real or physical way through an electronic device which
has sensors. Last but not the least is the Voice assistance which has been with
us for many years now but the enhancements in AI has provided more room for
improvement in voice assisted technology.
There are many examples of AR
which are being used by individuals and industries like; IKEA uses the
application Place, which they have recently released so that customers
can check how different types of furniture look in their home which simplifies
purchase decisions for the customers. Niantic’s Pokemon Go, an Augmented
Reality based smartphone game, enables the player to catch Pokemon on real time
locations. Automaker Company Ford, uses Microsoft’s HOLO LENS to design
cars and experiment with new designs. Other automakers, Audi and Cadillac use Virtual Reality to enhance the customer experience so that the buyers can
see the car model and the features. So in short what I mean to say is that
now-a-days industry giants have started implementing technologies like AR and
VR in their fields and are experiencing a much better way to run their
business. Examples for Voice assistance technology are Apple’s Siri, Samsung’s
S Voice, Microsoft’s Cortona and Google Assistant. A lot of development has
been made in the field of AI in the last few years which has motivated
developers and companies to create more products and services around it.
are some of the points which suggest why Artificial Intelligence is important:
Repetitive Learning though data
AI carries out continuous
computerized tasks which are high volume and automated. Through Deep Learning,
AI seeks to get in depth information about a problem or a query raised by an
individual. Human enquiry is still important to ask the right question so that
the learning is in the right direction.
Products which are already in use
are improved through the integration of AI capabilities. Different types
of components like automation, learning bots and conversational platform can be
merged together along with huge amounts of data to improve the product or the
service through AI.
Adapting to newer algorithms
AI continuously learns newer
algorithms through structured data available to it where a new skill is
acquired in order to provide newer experiences. An algorithm is important solve
a certain case or a problem. When new models are introduced, AI automatically
learns through training and added data.
More and more analysis of data
leads to deeper understanding of the database available to AI and through
neural networks many hidden layers can be uncovered. With highest compute
power, various models can be trained to go deep into data to get more relevant
out of it.
The most appropriate example to
define this point will be Google search and Google photos which gets better as
we continuously use them. Through deep neural networks, AI achieves higher
accuracy to dive deep in data and select patterns of the users which can be
helpful in providing similar results.
Proper utilization of data
The algorithms are self-learning
and the data is used appropriately and excessively by AI which helps bring out
best results out of the big data. Since the data is important now than ever
before, it creates a competitive advantage because many newer techniques or
solutions and be uncovered through proper analysis.