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How Mobile Apps Favoring Construction Industry (2)


Today’s organizations are moving towards mobile applications to expand their systems to win higher customer bases. Android operating system dominates the mobile application market with more than 86% market share in application development. – PowerPoint PPT presentation

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Title: How Mobile Apps Favoring Construction Industry (2)

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Why choose Android over IOS? Anyone you talk to
will tell you that building apps for Android OS
are a good idea, not wrong, but for informed M
obile app developers. Detailed knowledge is
essential before making a decision that will
have long-term consequences. Of course, the first
thing to consider is the reason for choosing
Android over iOS. While new platforms are
gaining popularity, Apples iOS and Googles
Android continue to lead. global market If your
budget can support the internal development and
launch of both Android and iOS apps, the issue
will be resolved. But by choosing one platform
to do this work on your behalf. Often leads to
the use of capital, resources, time savings. and
better abilities Here are some reasons for
choosing Android as your OS platform over a
mobile application development platform. Before
going for Android application development, the
decision to choose a platform for application
development is based on factors such as the
target audience. Application features Mostly
project timelines, revenue, and maintenance
budgets. For larger organizations, with more
assets various platforms. It can be used for
simultaneous application development while for
small businesses. This is an important question
that can determine the failure or success of a
business. Todays organizations are moving
towards mobile applications to expand their
systems to win higher customer bases. Android
operating system dominates the mobile application
market with more than 86 market share in
application development.
Taking advantage of A ndroid application
development in USA is a necessity for businesses
today, and in the years to come, businesses will
increasingly rely on Android application
development. In this article, well talk about
which Android and iOS platforms are right for
your business. And we will talk about the reasons
for developing Android apps on iOS. 1 Wider
customer group In 2016, 90 billion Android apps
were downloaded that same year. The number of
iOS app downloads is approximately 25 billion. As
Android apps run on more devices compared to
their iOS devices, the math dictates that
Android apps can reach a larger audience. Paid
apps can generate higher profits. And free apps
can expect more downloads and accessibility.
Therefore, it is best to choose a mobile
application development platform that focuses on
developing Android apps. 2 Greater Innovation
Potential Googles philosophy of innovation and
freedom filters in-store hosted apps. Since its
the brainchild of Android, its more fun to play
with. App integration policies are much more
flexible. This gives developers more room to
test and innovate. Choosing a mobile application
development platform for Android encourages new
ideas. and is a tool to create applications that
add previously unmatched value in the users
life. 3. Easier to install You can download
Android apps from any website, not just the
Google Play Store. In addition to the Google Play
Store, apps can also be hosted on third-party
websites. Android software development kits make
it possible, as is the ability to install apps
directly on the device. or from the command line
All this makes the app available to more users.
And its the main reason to invest in an Android
app development platform. 4. Easier to enter
the market To develop an Android app, all you
have to do is register yourself as a developer,
create an Android Package Kit (APK), and submit
it to the Android mobile application development
platform. iOS apps are greatly improved as
Apples approval security process is more multi-
step. Android apps are usually approved and
deployed in a day, while in the App Store it
takes about a few weeks. Apps can be updated on
the Google Play Store as many times as needed
based on user feedback. In the App Store, you
need to submit updates and follow a slightly
longer process. Android wins in terms of
performance. with the right mobile application
development platform, You can start right
away! 5. Custom ROM In the case of Android,
custom ROM (Read-Only Memory) refers to the
phones firmware, since Android is open source.
Developers can then edit and recompile the code
and adapt it to a variety of devices, including
the look and behavior of the device. Mobile
application development platforms can use this
capability to generate countless transformable
code. So it creates new features and quickly
adapts the app to new devices. Read Android
App Development Cost 6. Compatible with more
devices The reason Android dominates the app
market is its ability to run on more devices
than its competitors. Manufacturers make more
devices that support Android apps than devices
developed to suit iOS-specific apps. The simple
reason is that Android devices are being used by
more and more people. due to part Therefore,
developing Android applications is a smarter and
more profitable option. 7. Social Media
Optimization Android is best for social app
development. Business mobile applications must
include social media capabilities. As it has
become one of the most powerful forms of
marketing available. Apps developed on Android
also have the ability to integrate with a wider
variety of social media sites. which helps
companies Spread the word in a more simplified
form. Linking your app to Facebook, Twitter,
Instagram, etc. will bring more user engagement
to the guarantee. 8. Lower development costs
(Operating System Perspective)
For Google Play Store subscriptions, a one-time
payment of 25 is required. For Apples App
Store, one person pays 99 per year. Android is
also open source and easy to use. This gives it
an edge over iOS when developers have to choose.
An app-focused mobile application development
platform for Android will significantly reduce
the cost of the entire process. There are many
reasons for choosing Android, and each has its
advantages. Platform decisions are best made
through collaboration between departments,
people, and interests. Android is often the right
decision for startups and emerging companies. But
it can support big companies. And our goal is to
build apps all over the world. USM is the best
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Arti?cial Intelligence ? AI plays a very
important role in humanity. It's a technology
that can give you more productivity with less
input, first and foremost, AI will replace the
tedious task.
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How AI help Humanity
1. AI has and will continue to improve
automation Today, AI-enabled robots can easily
perform a variety of automated tasks inside and
outside the factory, without the need for
constant human intervention. AI is a
transformative technology for certain
applications and tasks across a wide range of
industries. Machine learning, in-depth learning
and other AI technologies are already being used
to reduce the human workload in other areas such
as assembly, packaging, customer service and
HR. It has significantly reduced operating costs
and employee costs, bringing an unprecedented
level of advanced automation.
It includes robots, new and improved machine
tools and smart machine tools for plants of all
sizes. Such examples clearly show the potential
of AI for the future of work in the industry. We
may also see AI and robots working with human
activists in the future. These robotic
colleagues, known as cobots, help to improve
the overall efficiency and general well-being of
their human colleagues without completely
replacing human workers. Companies like Amazon
are already seeing benefits from this kind of
working relationship between us and machines. 2.
AI helps to eliminate the need for humans to do
tedious tasks One of the main advantages of
artificial intelligence is the ability to reduce
the risk of participating in multiple tasks.
Repetitive, laborious tasks in any job are
prohibited by most human workers around
the world. Some are very boring, mistakes are
common, because it is difficult to maintain
human attention while performing repetitive
tasks. However, such tasks are well suited for
computer automation. This is where advanced AIs
can come to the rescue. Machines excel at taking
care of standard processing tasks such as data
entry, freeing human jobs to focus on more
creative and interactive aspects of their jobs or
Thanks to the A pplications of AI, lets take the
example of the banking sector which has seen
some big progress in this area. Financial
institutions today make full use of this
technology to make banking easier and more
convenient for consumers. It has already gone to
some extent in giving financial workers
some relief from the laborious aspects of their
jobs and focused on in-depth research and
comprehensive customer experience analysis. 3.
Improving weather forecasting is another way AI
can bene?t humans Weather forecasting is complex
and calls for intensive computing and
deep-learning networks that can enable computers
to analyze and analyze large data sets faster
than ever for humans.
Over the past few years, we have seen the use of
artificial intelligence and its associated
technologies in climate and weather forecasting.
This field, known as Climate Informatics has
already proven to be very fruitful, allowing
greater collaboration between data scientists
and meteorologists, which can bridge the gaps in
our understanding. 4. AI can liberate humans
without putting their lives on the line It is a
common trope that AI will one day be the end of
humanity as robots and machines enslave, destroy
or enslave us all. However, what is often
overlooked is that the inclusion of AI in our
daily lives can relieve us of many
responsibilities that we may or may not need. A
convincing example in this regard is the future
of war and weapons. As Paul Sharrays book Army
of Nuns points out, AI shows enormous promise
as a potential application in war. As he says in
his book, in the future, it is hoped that the
military and machine intelligence will work
together to conduct wars. This means that AI and
robots take on more dangerous roles in combat
instead of literally keeping humans on the line
of fire.
Needless to say, there are very serious ethical
issues to work on first before giving AI the
ability to take on life. But, AI can help save
human lives in other areas such as disaster
rescue situations. One day, we may see AI-powered
firefighters or help first responders identify
and rescue survivors during environmental or
industrial disasters. 5. AI is on-call at all
times AI never sleeps. Unlike the ominous
statement, it is actually very beneficial for
all of us. Humans need to eat, sleep and rest,
no machines and no AI. As long as there is a
power supply to it, in theory, AI can work at all
times for eternity. Humans work between 4 and
10 hours a day, excluding breaks such as toilet
popping, smoking, or eating. AI never needs a
bathroom break, sleep or eat, so can work 24x7
at maximum performance. It minimizes errors,
maintains critical services, and allows
businesses and other organizations to provide
services that their customers depend on
(helplines, etc.). For academic and research
institutions, this could lead to some big
breakthroughs in future innovations that will
have far-reaching benefits for all of
us. aiforhumanity aiapplications aiapplication
sforHmanity aiapplicationsforhumanity
How Machine Learning Can Help Your
Business Machine Learning (ML) captures
meaningful insights from raw data to quickly
solve complex, data-rich business problems. ML
algorithms learn repetitively from data and allow
computers to find a variety of hidden insights
without explicitly programming. ML is growing so
fast and is mainly driven by new computing
Machine learning in business can help increase
business scalability and improve business
operations for companies around the world.
Artificial intelligence tools and many ML
algorithms have become extremely popular in the
business analysis community. Factors such as
increasing volumes, easy availability of data,
cheap and fast computational processing and
affordable data storage have led to a huge
machine learning boom. Therefore, companies can
now benefit by understanding how businesses can
use machine learning and implement it in their
own processes.
The goal of machine learning is to receive new
data independently and make decisions and
recommendations based on thousands of
calculations and analyzes, regardless of the
definition you choose. This is done by inserting
artificial intelligence machines or D eep l
earning applications in USA from the data they
provide. Machine learning models learn from
humans with minimal intervention, can identify
patterns and make decisions. Ideally, machines
increase accuracy and efficiency and eliminate
(or greatly reduce) the possibility of human
error. The importance of machine learning The
increase in the almost unlimited amount of data
available, affordable data storage and less
expensive and powerful processing has led to the
growth of machine learning. Now many industries
are developing more robust machine learning
models capable of analyzing large and complex
data while delivering faster, more accurate
results on a wider scale. Machine learning tools
allow companies to quickly identify profitable
opportunities and potential risks. The practical
applications of machine learning drive business
results can dramatically affect a companys
bottom line. New methods in this field are
rapidly evolving and expanding the A pplication
of Machine Learning to almost unlimited
possibilities. Industries that rely on vast
data - and need a system to analyze it
effectively and accurately, have adopted machine
learning as the best way to design, strategize
and plan. Industries that use machine
learning Health care. The deployment of wearable
sensors and devices has generated significant
data from pulse rates and phases to oxygen and
sugar levels and even from sleep patterns,
allowing clinicians to assess their patients
health in real-time. A new machine-learning
algorithm detects cancerous tumors on mammograms
Another diagnoses skin cancer One-third of
retinal images can be analyzed to diagnose
diabetic retinopathy. Government. Systems that
use machine learning allow government officials
to predict future situations and use data to
adapt to rapidly changing conditions. Machine
learning can help improve cybersecurity and
cyber intelligence, support counter-terrorism
efforts, optimize operational readiness, manage
logistics management and maintenance, and reduce
failure rates. This recent article highlights
another 10 applications for machine learning in
the healthcare industry. Marketing and sales.
Machine learning is also revolutionizing the
field of marketing as many companies have
successfully implemented Artificial Intelligence
(AI) and machine learning to increase and
increase customer satisfaction by over 10. In
fact, according to Forbes, 57 of enterprise
executives believe that the most significant
growth benefit of AI and machine learning
is improving customer experience and
support. E-commerce and social media sites use
machine learning to analyze your buying and
search history Make recommendations on other
items to buy based on your and your past habits.
Many experts believe that the future of retail
will be driven by AI and machine learning as Deep
learning business applications specialize in
capturing, analyzing, and using data to
personalize individuals shopping experiences
and develop customized target marketing
campaigns. Transportation. Efficiency and
accuracy are key to profitability in this field
There is also the ability to predict and minimize
potential problems. The data analysis and
modeling functions of machine
learning are fully integrated with businesses in
the delivery, public transport, and freight
sectors. Machine learning uses algorithms to
find factors that positively and negatively
affect supply chain success, making machine
learning a key element in supply
chain management. In logistics, machine learning
facilitates schedulers ability to optimize
carrier selection, rating, routing, and QC
processes, which saves money and improves
efficiency. Machine learning can simultaneously
analyze thousands of data points and apply
algorithms more quickly than any human, allowing
machine learning to solve problems that people
have not yet identified. Financial services.
Insights provided by machine learning in
this industry to identify new opportunities for
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plications of Machine learning Applications of
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