The impact of artificial intelligence usm systems - medium

11/20/2019 The Impact of Artificial Intelligence - Usm systems - Medium
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The Impact of Arti cial Intelligence
Usm systems
Nov 18 · 9 min read
Artificial Intelligence (AI) is becoming an important part of our daily life, in social as
well as the business environment. From healthcare to the military, this technology is
being introduced in all the sectors to reduce human effort and give an accurate and
faster result.
We are fortunate to live in this generation, which is full of technological advancements.
Now we live in a time where a lot of work is taken over by machines & software. AI has a
special place in all the advancements made today. As we know that AI is the science of
computers and machines developing intelligence like humans. In this technology, the
machines can do some of the simples to complex tasks that we as humans need to do
regularly.
The AI systems are capable enough to reduce human efforts in numerous areas. To
conduct different operations in the industry, many of them are using artificial
intelligence to create machines that perform various activities regularly. The artificial
intelligence applications help to get the work done faster and with accurate results.
General Advantages
While AI has been very useful in many domains like healthcare, automotive etc, there are
some general advantages you get in any field by applying AI. Let us have a look at some
of them:
Daily operations
Computed methods for automated reasoning, learning and perception have become a
common phenomenon in our everyday lives. We have our Siri or Cortana to help us out.
The smartphone is an apt and everyday example of how we use AI. We are also hitting
the road for long drives and trips with the help of GPS. In utilities, we find that they can

predict what we are going to type and correct the spellings. That is machine intelligence
at work.
When we take a picture, the AI algorithm identifies and detects the person’s face and
tags the individuals when we are posting our photographs on social media sites.
Fewer Errors
AI helps us in reducing the errors and the chance of reaching accuracy with a greater
degree of precision. It is applied in various studies such as exploration of space.
Intelligent robots are fed with data and are sent to explore space. Since they are more
resistant and have a greater ability to endure the space and hostile atmosphere due to
their metal bodies. They are built and acclimatized in such a way that they cannot be
altered or get damaged or malfunction in a hostile environment.
RepetitiveTasks
Repetitive tasks are monotonous in nature can be carried out with the help of machine
intelligence. Machines think faster than humans and can be put to multi-tasking.
Machine intelligence can be employed to carry out dangerous tasks. Their parameters,
unlike humans, can be adjusted. Their speed and time are calculation based parameters
only.
When humans play a computer game or run a computer-controlled robot, we are actually
interacting with artificial intelligence. In the game we are playing, the computer is our
opponent. The machine intelligence plans the game movement in response to our
movements. We can consider gaming to be the most common use of the benefits of
artificial intelligence.
Difficult Exploration
Artificial intelligence and the science of robotics can be put to use in mining and other
fuel exploration processes. Not only that, these complex machines can be used for
exploring the ocean floor and hence overcome human limitations.
Due to the programming of the robots, they can perform more laborious and hard work
with greater responsibility. Moreover, they do not wear out easily.

Digital Assistants
Highly advanced organizations use ‘avatars’ which are replicas or digital assistants who
can actually interact with the users, thus saving the need for human resources.
For artificial thinkers, emotions come in the way of rational thinking and are not a
distraction at all. The complete absence of the emotional side, makes the robots think
logically and take the right program decisions. Emotions are associated with moods that
can cloud judgment and affect human efficiency. This is completely ruled out for
machine intelligence.
Availability 24x7
Unlike humans, machines do not require frequent breaks and refreshments. They are
programmed for long hours and can continuously perform without getting bored or
distracted or even tired.
Domain-wise Advantages
AI for Good
‘AI for Good’ is a United Nations platform. It is centered around an annual Global
Summit that promotes the exchange on the beneficial use of AI by building specific
projects. The purpose of organizing global summits that are action-oriented, came from
an existing discussion in AI research being dominated by research streams such as the
Netflix Prize (improve the movie recommendation algorithm). The AI for Good series
aims to bring forward AI research topics that contribute towards more global obstacles,
in particular through the Sustainable Development Goals, while at the same time
avoiding typical UN-style conferences where results are usually more abstract.
Healthcare
The main purpose of healthcare AI applications is to examine relationships between
prevention or treatment techniques and patient outcomes. AI programs have been built
and implemented to practices such as diagnosis processes, treatment protocol
development, drug development, personalized medicine, and patient monitoring and
care. Many medical institutions have developed AI algorithms for their departments.

Large technology companies and even startups have also developed AI algorithms for
healthcare. Additionally, hospitals are looking to AI solutions to support operational
initiatives that increase cost-saving, improve patient satisfaction, and satisfy their
staffing and workforce needs. Companies are also developing predictive analytics
solutions that help healthcare managers improve business operations through increasing
utilization, decreasing patient boarding, reducing the length of stay and optimizing
staffing levels.
Agriculture
In agriculture, new AI developments show advances in gaining yield and to increase the
research and development of growing crops. AI now predicts the time it takes for a crop
like a vegetable to be ripe and ready for picking thus increasing the efficiency of farming.
These advances go on including Crop and Soil Monitoring, Agricultural Robots, and
Predictive Analytics. Crop and soil monitoring uses new algorithms and data collected in
the field to manage and track the health of crops making it easier and more sustainable
for the farmers.
More specializations of AI in agriculture is one such as greenhouse automation,
simulation, modeling, and optimization techniques.
Due to the rise in population and the increase in demand for food in the future, there
will need to be at least a 70% boost in yield from agriculture to support this new
demand. More and more of the public perceives that the adaption of these new
techniques and the use of AI will help reach that goal.
Automative
The Air Operations Division (AOD) uses AI for the rule-based expert systems. The AOD
has use for artificial intelligence for surrogate operators for combat and training
simulators, mission management aids, support systems for tactical decision making, and
post-processing of the simulator data into symbolic summaries.
The AOD also uses artificial intelligence in speech recognition software. The air traffic
controllers (ATCs) are giving directions to the artificial pilots and the AOD wants the
pilots to respond to the ATC’s with simple responses. The programs that incorporate the
speech software must be trained, which means they use neural networks. This is an early
stage of the program that has plenty of room for improvement. The improvements are

imperative because ATCs use very specific dialogue and the software needs to be able to
communicate correctly and promptly every time.
Aviation
AI-supported Design of Aircraft is used to help designers in the process of creating
conceptual designs of aircraft. This program empowers the designers to concentrate
more on the design itself and less on the design process. The software also allows the
user to focus less on software tools. The AIDA uses rule-based systems to compute its
data. This is a diagram of the arrangement of the AIDA modules. Although simple, the
program is proving effective.
Haitham Baomar and Peter Bentley are leading a team from the University College of
London to develop an artificial intelligence-based Intelligent Autopilot System (IAS)
designed to teach an autopilot system to behave like a highly experienced pilot who is
faced with an emergency situation such as severe weather, turbulence, or system failure.
Education
One of the more promising innovations is the idea of a personal AI tutor or assistant for
each individual student. Because a single teacher can’t work with every student at once,
AI tutors would allow for students to get extra, one-on-one help in areas of needed
growth. There are many new possibilities due to what has been coined by The New York
Times as “The Great AI Awakening.” One of these possibilities mentioned by Forbes
included the providing of adaptive learning programs, which assess and react to a
student’s emotions and learning preferences.
Many teachers fear the idea of AI replacing them in the classroom, especially with the
idea of personal AI assistants for each student. The reality is, AI can create a more
dystopian environment with revenge effects. It is inevitable that AI technologies will be
taking over the classroom in the years to come, thus it is essential that the kinks of these
new innovations are worked out before teachers decide whether or not to implement
them into their daily schedules.
Arts
Artificial Intelligence has inspired numerous creative applications including its usage to
produce visual art. The recent AI-based exhibitions provide a good overview of the

historical applications of AI for art, architecture, and design. These exhibitions
showcasing the usage of AI to produce art include the Google-sponsored benefit and
auction at the Gray Area Foundation in San Francisco, where artists experimented with
the DeepDream algorithm. The Association of Computing Machinery dedicated a special
magazine issue to the subject of computers and art highlighting the role of machine
learning in the arts.
Finance & Economics
The 1980s was really when AI started to become prominent in the finance world. This is
when expert systems became more of a commercial product in the financial field. Their
first function was to help give financial plans for people with incomes over a threshold.
That then led to the Client Profiling System that was used for a specific band of incomes.
The 1990s was a lot more about fraud detection. One of the systems that were started in
1993 was able to review over lacs of transactions per week and over two years it helped
identify 400 potential cases of money laundering which would have been equal to $1
billion. Although expert systems did not last in the finance world, it did help jump-start
the use of AI and help make it what it is today.
These days AI is prominent in the following use cases in the financial world:
Algorithmic Trading
Market Analysis
Personal Finance
Underwriting
Government
The potential uses of AI in government are wide and varied, with recent research
suggesting that ‘Cognitive technologies could eventually revolutionize every facet of
government operations’. Experts in government consulting suggest these type of
government problems are appropriate for AI applications:
Resource allocation
Large public & employees datasets

Experts shortage
Predictable scenarios
Procedural tasks
Diverse data
Military
The main military applications of Artificial Intelligence and Machine Learning are to
enhance C2, Communications, Sensors, Integration, and Interoperability. Artificial
Intelligence technologies enable coordination of sensors and effectors, threat detection
and identification, marking of enemy positions, target acquisition, coordination, and
deconfliction of distributed Join Fires between networked combat vehicles and tanks
also inside Manned and Unmanned Teams (MUM-T).
Gaming
In video games, artificial intelligence is routinely used to generate dynamic purposeful
behavior in non-player characters (NPCs). In addition, well-understood AI techniques
are routinely used for pathfinding. Some researchers consider NPC AI in games to be a
“solved problem” for most production tasks. Games with more atypical AI include the AI
director of Left 4 Dead (2008) and the neuroevolutionary training of platoons in
Supreme Commander 2 (2010).
News & Publishing
Companies are making computer-generated news and report commercially available,
including summarizing team sporting events based on statistical data from the game in
English and also financial reports and real estate analyses.
There are software firms that help publishers increase traffic by ‘intelligently’ posting
articles on social media platforms such as Facebook and Twitter. Another firm uses AI to
turn structured data into intelligent comments and recommendations in natural
language such as financial reports, executive summaries, personalized sales or
marketing documents.
Yet another firm has launched an app that is designed to learn how to best engage each
individual reader with the exact articles — sent through the right channel at the right

time — that will be most relevant to the reader. There are firms that are helping media
companies with their AI-powered video personalization and programming platform.
Advertising
It is possible to use AI to predict or generalize the behavior of customers from their
digital footprints in order to target them with personalized promotions or build
customer personas automatically. A documented case reports that online gambling
companies were using AI to improve customer targeting.
Moreover, the application of Personality computing AI models can help to reduce the
cost of advertising campaigns by adding psychological targeting to more traditional
sociodemographic or behavioral targeting.
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