How Has AI Changed the Course of Mobile Application Development?

1
How Has AI Changed the Course of Mobile
Application Development?
July 14, 2022 Dash Technologies Inc Artificial
Intelligence, Mobile App Development
AI (artificial intelligence) is an extensive
branch of computer science that is associated
with smart machines that can perform complex
tasks by learning from human intelligence.
Nowadays, customers have become very demanding.
Many of us might think of AI as a recent
phenomenon, but it has been around since the
1950s when Arthur Samuel developed a
checker-playing computer program.
2

• Since then AI has come a long way. Advancements
  in AI like Siri, Cortana, Alexa, Google home,
  and chatbots have changed our lives drastically.
  From social media interactions to home
  automation, we cant even imagine our lives
  without machine learning and AI. A major chunk
  of this credit goes to AI-based mobile app
  development.
• Users uninstall mobile applications that do not
  have innovative features. AI has raised the bar
  for mobile app developers and customers expecting
  more from apps. Through the accumulation of data
  from various human interactions, AI allows
  businesses to understand human behavior. This
  understanding enables these customers to connect
  with brands.
• The following statistics highlight the importance
  of AI
• The global AI market value is expected to reach
  267 billion by 2027.
• 37 of businesses employ AI.
• 26 of customers admit to interacting with AI
  daily.
• Global spending on AI and cognitive systems
  reached 57.6 billion in 2021.

The above statistics clearly state that AI plays
a prominent role in peoples lives in 2022 and
their importance will only grow in the future.
This blog will discuss how AI has revolutionized
the mobile app development industry. Lets get
straight into it.
3
Impact of AI on Mobile App Development Companies

• As discussed above, mobile apps with basic
  features do not interest users anymore. Hence,
  mobile app developments will have to integrate AI
  into their mobile app development processes.
  Many companies adopted machine learning AI to
  experience outstanding results. Now, we will
  discuss how AI has influenced the mobile app
  development industry.
• Facial Recognition
• Facial recognition is an integral aspect of
  Android phones these days, mainly due to the
  added security layer and ease of use. This
  technology uses AI and ML learning to recognize
  peoples faces, unlock the smartphone and
  numerous apps installed on it.
• In the future, smartphone companies are planning
  to introduce advanced AI ML technologies that
  recognize minor changes like bruises, facial
  hair, or changed facial expressions, etc. Be it
  banking, law enforcement, or healthcare, facial
  recognition technology can enhance security and
  protect sensitive information.
• Even regular individuals can benefit from this
  technology. Facial recognition technology can
  restrict childrens access to mature content on
  the internet while detecting online threats.
  Some apps can even scan a persons face, identify
  his illness and perform a clinical diagnosis.
• Smartphone Apps
• In the age of Instagram and Tiktok, high-quality
  images and videos have become the norm. Bearing
  this in mind, smartphone companies and custom AI
  mobile app development companies have stepped up
  their efforts. These new age AI and ML
  integrated cameras can detect individuals in
  frames, new surroundings, rough weather and
  other challenging situations to produce the best
  possible image or video.

4
3. Search Engine Optimization
Thanks to the ever-developing mobile app
development technology, you can even obtain
nutritional information related to a food item
and monitor your bodys health 24/7/365.
Businesses can track how their products are being
used across the country/world when users post
product images on social media platforms.
AI plays a crucial role for web pages, videos,
images and other content to rank in customized
search results. The algorithms in these AI
systems have set rules that consider many
factors like the types of keywords used in the
content, overall user experience etc. While
these search engines may provide valuable advice
on how to improve search engine rankings, they
will never divulge complete information. Mobile
application development companies must observe
patterns and understand how AI works to improve
usability. Right now, users can rely on voice
commands like Which is the closest Mexican
restaurant near my location?. Not only will the
search engine provide users with relevant
information but they will also direct them to the
physical location of a particular business. Most
importantly, AI enabled apps with the latest
algorithms separate top-notch content from
sub-standard quality spam. Advanced AI integrated
technologies provide the required information in
real-time, improving user-experience and saving
their time. 4. Detecting Human Emotions Often we
say things but we mean something else. Only
humans would understand that but what if
machines could comprehend that too. The
incorporation of AI and ML into mobile
applications allows them to decipher micro and
macro expressions.
5
2. Time-saving
These AI enabled apps notice subtle changes in
human behavior like eye movements, body
language, voice intonation etc. Using this
information, companies can identify user
requirements, demand for a particular
product/service or even improve their services
with feedback.

• Developing products and services for customers is
  not an easy task. Firstly, companies must
  collect customer data, store it properly and then
  conduct a detailed analysis. Time is not a
  luxury while running a dynamic business. Custom
  AI mobile apps can speed up data collection and
  analysis while improving sales and customer
  satisfaction.
• Real-time Translation Capabilities
• The internet is flooded with translation
  applications but not all of them are effective.
  Most of them are inaccurate plus they require
  constant internet access. AI enabled apps in
  smartphones can translate/decode innumerable
  languages in real time and that too without any
  internet access.
• The best part is that these AI enabled
  applications translate the languages instantly,
  without any delay like interpreters do in real
  time. You can also modify the tool for latency,
  meaning users can set the lag between a spoken
  word and its translation. Certain languages
  require more translation time than others and
  this latency tool can enhance/improve the
  quality of translation.
• Useful Recommendations
• The best way to keep your customers/users engaged
  is to supply them with relevant content and AI
  integration that can help you achieve that goal.
  While using eCommerce portals, you may have
  observed that you get additional purchase
  recommendations before checking out.

6
5. Empowered Apps with Chatbots
Your business can benefit from the same strategy.
By gathering customer data and incorporating it
into your algorithm, your app can recommend more
products to your customers based on their buying
patterns. Not only does this strategy improve
conversions but it also increases customer
retention. Regardless of the industry, you can
use this strategy for upselling and cross-selling.
Most business websites and apps have chabots to
greet customers, take their queries and interact
with them. In 2022, businesses had a hard time
making profits due to the after-effects of the
pandemic. Chatbots are useful and
cost-effective. The cost of hiring a customer
service team can be massive and they may not
bring in more sales. Hence, you can instruct
your developers to develop chatbots to answer
FAQs or commonly asked questions. In the absence
of a developer, you can even hire a mobile
application development company to meet your
needs. 6. Strategy Refinement Deadline
Estimation During the development phase, all
parties resort to fine parsing while choosing a
feature set for software. Some features will be
part of the initial release while others will be
included later. Such steps can influence buying
decisions. AI can help streamline a strategy for
choosing the features while running simulations
to understand the customers perspective based
on their feedback. Additionally, you can even
conduct competitor analysis to know what features
to include now and which ones to save for later
inclusion. Developing a budget can be an uphill
task for a mobile app development company, even
when they have complete data sets and past
projects for reference. With AI, companies can
finely parse data, use project results from the
past, feature sets and
7
include developers feedback to set a clear-cut
budget. Benefits include timely production
timelines and a timely launch. Maintenance can
eat a huge chunk of your resources, especially
with slipshod backend management. AI can
simplify ongoing maintenance by identifying
outdated features and related code to improve
ongoing maintenance. As a result of this
streamlined maintenance, companies can save time,
money and resources. Key Takeaways AI and machine
learning has revolutionized mobile app
development while changing peoples perspective
on the entire process. Along with better user
experience and interaction, companies also have
access to abundant AI powered resources, leading
to increased productivity and global business
growth. gtMoreover, AI is capable of alleviating
the workflow of various organizations,
regardless of their industry. No wonder companies
are adopting AI, machine learning and deep
learning at an alarmingly fast pace. Be it
startups or giant corporations, companies are
incorporating ML and AI algorithms into their
mobile apps to provide advanced features for
their customers. Last but not least, the constant
evolution of these technologies have opened up
new opportunities and markets for entrepreneurs.