Today,
Artificial Intelligence and Machine Learning incorporated in almost every
mobile application which makes it more important to know How to integrate
machine learning and artificial intelligence into apps.
According to research “by 2020, 57%
of business buyers will depend on companies to know what they need before they
ask for anything”.
Artificial intelligence and machine
learning are dominating the tech world right now. These data will surely clear
your doubts:
·
“AI software will grow from $1.4
billion in 2016 to $59.8 billion by 2025”.
·
“AI and Machine Learning-driven mobile
apps is a leading category among funded startups”.
·
“40% of US companies use ML to improve
sales and marketing”.
·
Because of ML, nearly 76% of US
companies have exceeded their sales targets.
·
With ML, European banks have increased
product sales by 10% and lower churn rates.
All the above-mentioned data reveals
that the time of generic technologies has gone and now industries are keen to
adopt these emerging technologies to stay ahead of the crowd. In today’s
machine-driven world, machines are capable of learning human behaviors and
making their daily lives easier than they ever imagined.
In fact, Artificial Intelligence
and Machine Learning, these two bombs are considered as a top complicated
technology according to the Machine Learning Mobile
App Developer community. The wide involvement of
these two technologies has made the need for worrying over simple, even complex
things cease to exist because our mobile apps are doing that for us.
Why We Need
Artificial Intelligence and Machine Learning In Our Business Process?
The idea behind integrating these
two emerging technologies in businesses is to make profits and it can only be
done when they accomplish new users and retain the old once. AI can make a
difficult task easy through the integration of Machine Learning and Artificial
Intelligence in mobile app development.
There are three main manners
through which the potential of AI and Machine Learning can be integrated into
mobile application development to make the app more efficient, and intelligent.
Reasoning
This sector of Artificial
Intelligence deals with computers to apply Reasoning for solving complex
problems. The reasoning makes AI vigorous to beat human minds, now computers
can beat you in chess and makes use of automated reasoning for optimizing road
routes. There are three types of reasoning’s i.e. Deductive reasoning,
Inductive reasoning, and Abductive reasoning, mobile app developers can use the
most suitable one on the basis of app requirements.
Recommendation
Artificial Intelligence and Machine
Learning play an important role in the collection of user’s insight. These are
most commonly seen use cases in the mobile app industry which provides what
they would require next to secure success in the competitive market. Top brands
in the world that are using AI and ML for their brand upliftment are – Amazon,
Netflix, Flipkart, and others.
Behavior
Learning
how the user behaves in mobile apps can help AI set a new benchmark in the
world of security. If someone tries to imitate any online transaction without
your knowledge, the AI system can track the unusual behavior and stop the
transaction there and then.
These
three primal bases can enable your app to offer a better customer experience.
Best Platforms for the Development of Mobile Application with Machine Learning
Brands that are using AI and Machine Learning for Mobile App Development
Benefits
of Machine Learning and Artificial Intelligence in Mobile App Development
Personalization
AI algorithm integrated into the
mobile application can evaluate various information from social media
activities to provide recommendations to every user device. Machine learning
mobile app development can be used to collect information like:
·
Who are your customers?
·
What do they like?
·
What are the locations of your users?
·
Which device they mostly use to browse the internet? etc.
Based on this information, you can
analysis your customer behaviors and use that classification for the target
market. On the other hand, ML will allow you to provide relevant and engaging
content to your potential customers and put up an impression that your AI
mobile app technologies are especially customized for them.
Predict User Behavior
The Machine Learning mobile app
development allows marketers to get an understanding of users’ preferences and
behavior pattern by probing a different kind of data like gender, location,
age, search histories, etc.
This data will help them to improve
the effectiveness of their application. Amazon and Netflix availing the
benefits of these two technologies for creating customized recommendations for
each individual customer.
Advanced Search
AI and Machine Learning make the
search results more spontaneous and contingent for users. The AI algorithms
learn from the queries put by users and prioritize the search results based on
those queries.
Similarly modern mobile apps allow
you to gather all the user data including search histories and frequent
actions. This data can be used along with the behavioral data and search
requests to rank your products and services and show the best applicable outcomes.
Improved Security
We all know that AI and ML are well
known for making a very effective marketing tool but these are also used for
secure app authentication. Features like Image recognition or voice recognition
allow users to set up their biometric data as a security authentication in
their smart mobiles.
Zoom app use AI to allow users to
use their fingerprints and Face IDs to set up security locks to various apps.
Relevant Ads
According to a report by “The
Relevancy group, 38% of executives are already using machine learning for
mobile apps as a part of their Data Management Platform (DMP) for advertising”.
With the Machine learning mobile
apps, you can focus on generating ads that cater to each user’s unique
requirements.
Today Artificial Intelligence mobile
app development companies can intelligently
crystallize data for appropriate advertisement.
Summing Up
In this blog, we have covered
different areas in which AI and ML can be incorporated into the mobile app. Now
it’s time to implement ideas to boost the capacity of mobile app
development.
If you want any help regarding integration of Artificial Intelligence and
Machine learning, Consagous technologies can help you for the same.
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