10 Powerful
Examples of Artificial Intelligence
- by Anannya Banerjee
The
machines did not occupy. Not least yet. However, they are entering our lives,
influencing how we live, work, and entertain ourselves. From voice-powered
personal assistants like Siri and Alexa to behavioral algorithms, advisory
searches, and automatic vehicles, there are many examples and applications
today that boast powerful predictive capabilities.
But
the technology is still in its infancy. How many companies are A.I. Today, not
necessarily? As a software engineer, I can claim that the AI of any software.
Due to a predefined multi-bird input or an algorithm that responds based on
user behavior. This is not necessarily AI.
A
true artificially intelligent system is that it can learn on its own. We’re
talking about neural networks from Google’s choice of Deepmind that can build
connections and make money without relying on predefined behavioral algorithms.
True A.I. Can improve on the repetition of the past, allowing it to become more
alert and more aware, increase its power and knowledge.
The
powerful and ongoing series of HBOs, Westworld or Alex Garland’s, the former Ex.
Machina is the kind of AI we see in the wonderful stories portrayed on
television through Choices. We're not talking about that. Not for now. Today,
we are talking about Pseudo-AI. Technologies that drive non-voice-based
interactions with our vast voices and machines - the machine-learning phase of
the digital age.
Even
after companies like Apple, Facebook and Tesla have revolutionized and
revolutionized the way we interact with machine-learning technology, many of us
still know exactly how AI is. Being used by businesses both large and small.
How much will this technology affect our future lives and what other ways will
it enter our day-to-day life? When A.I. Really blossoming, how much will it
improve in the current iteration of so-called technology?
Artificial
intelligence applications in use today
Outside
of our quantum-computing condoms, today's so-called AI Systems are simply
advanced machine learning software with a wide range of behavioral algorithms
that adapt to our likes and dislikes. Even after the final implementation,
these machines are not becoming smart in terms of existence, but they are
improving their efficiency and usefulness based on a large dataset.
# 1 - Siri
Everyone
is familiar with Apple's personal assistant Siri.
It is a super friendly computer that is voice-activated and we interact with it on a daily
basis. He helps us find information, instruct us, add events to our calendar,
send us messages. Siri
Pseudo-intelligent digital personal assistant. He uses machine-learning
technology to predict and understand our natural language questions and
requests.
# 2 - Alexa
Alex's
rise to the center of the smart home was somewhat meteoric. When Amazon first
introduced Alexa, it took most of the world by storm. However, its utility and
remarkable ability to understand speech from anywhere in the house has made it
a revolutionary product that can help us whip up the web for information,
stores, schedule appointments, alarm sets, and a million other things, but also
helps our smart homes. And maybe hydraulic for their limited mobility.
# 3 - Tesla
If
you don't own a Tesla, you have
no idea what's missing. This is probably one of the best ever best cars that is ever made. This
is not only because of its acclaimed receipt but also because of its
predictable capabilities, self-driving features, and perfect technical
"coolness". Anyone in technology and cars needs to own a Tesla and these vehicles are becoming
smarter and smarter just for their air updates.
# 4 - Cogito
Originally
co-founded by CEO, Joshua Fest, and Dr. Sandy Pentland, Cogito is perhaps one of the most
powerful examples of behavioral adaptations to improve the mental intelligence
of existing customer support representatives in the market. This applies to
millions upon millions of voice calls occurring on a daily basis.
# 5 - Boxevar
Boxever, co-founded by CEO Dave O'Flanagan, is an
organization that can enhance the customer experience in the travel industry
and provide a 'micro-moment' or an experience that delights customers. And A.I.
Through its use, the company has dominated the playground, helping customers
find new ways to engage their customers with their travel itinerary.
# 6 - John
Paul
A
powerful example is John
Paul, a highly respected luxury travel agency run by David
Amsellem, the founding founder of the organization. In predictive algorithms
for existing client interactions, able to understand and know their desires and
needs at the acute level. The company powers regional services for millions of
customers through the world's largest companies, such as Visa, Orange, and Air
France, and was recently acquired by Acre Hotels.
# 7 -
Amazon.com
Amazon's transaction A.I. This is something that has
been around for quite some time now that it allows you to make a lot of money
online astronomy. As each algorithm has been cut and modified each year, the
company has become increasingly smart in predicting what we are interested in
buying based on our online behavior. Although Amazon
plans to ship our products to them before we know it, it hasn't received much.
But it is certainly on its horizon.
# 8 -
Netflix
Netflix films provide highly accurate predictive
technology based on customer feedback. It analyzes billions of records to
suggest movies based on your previous reactions and movie preferences. The year
is getting smarter and smarter as this tech data set grows. The only downside
to this technology, however, is that most small-label movies go unnoticed when
big-name movies balloon and grow on the platform.
# 9 -
Pandora
Pandora's A.I. Probably one of the revolutionary
technologies that exist today. They call it their musical DNA. Based on this
criterion of each song based on 400 music features, a team of professional
musicians first manually analyzed and the system has an incredible track record
for recommending songs that would otherwise not be noticed but people
instinctively love.
# 10 - Nest
Most
people are familiar with Nest, the
learning thermostat that was acquired by Google in January 2014 for 3.2
billion. The Nest Learning thermostat, which can now be voice-controlled by
Alexa uses behavioral algorithms to predictively learn from your heating and
cooling needs, thus anticipating and adjusting the temperature in your home or
office based on your own personal needs, and also now as a nest camera Other
products include suits.
- by Anannya Banerjee
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