Technology

How to Implement AI and Machine Learning in Your Existing Application?

September 23, 2022

Artificial Intelligence and Machine Learning are moving towards becoming an essential component of modern mobile application development. In the coming years, almost every application will depend on machine learning (ML) and artificial intelligence (AI).

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 users 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 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.

Recent Posts
How To Optimize Your eCommerce Website?
Why Do Businesses Need Custom Web Application Development?
5 Powerful UI/UX hacks for top App Development in 2023
How To Migrate from Ms Dynamics CRM to Dynamics 365?
Cloud security has become an increasingly important field in IT
IoT App Development Trends Changing The World As We Know It
8 Top IoT Development Services Design Practices
How Can Breadcrumbs Lead To Best Web Design And Development?
How Are AI And IoT Development Services Driving The Future?
6 Website Building Steps For Every Web Design Company
10 Ways Of Energy Management With IoT Development Services
Entertainment App Development And Digital Transformation
Salesforce App Development For Business Customization
How Can AI App Development Services Fight Climate Change?
Top Web Design And Development Trend Predictions For 2022
7 Budgeting Mistakes To Avoid In LMS Development Services
How to Improve Virtual Care Experience Using Telemedicine?
Ultimate List Of 10 Mobile App Development Trends For 2022
What Does Metaverse Mean For Entertainment App Development?
Which Sectors Use AR / VR App Development For Navigation?
How Telehealth Improves Behavioral Outcomes In Children?
How To Integrate A Payment Gateway In Salesforce App?
Top 10 Uses Of Deep Learning in Various Industries in 2022
Your Guide To The Best OTT App Platforms For 2022
Why Use AR/VR App Development For Employee Safety Training?
How IoT Drives Future Of Healthcare Application Development?
How Is AI App Development Automating The Logistics Industry?
How To Optimize B2B Marketing Automation With Salesforce?
10 Unique Education Mobile App Development Ideas For 2022
Key Tools to Digital Transformation
Importance of Discovery Process for Mobile App Development
How‌ ‌To‌ ‌Monetize‌ ‌Your‌ ‌Healthcare‌ ‌Mobile‌ ‌Apps?‌ ‌
How LMS Mobile App Development Leads To Better Engagement?
Cost Parameters For Mobile App Development Like Clubhouse
Revamping the Customer Support Services: Salesforce Chatbots
5 Patterns In Entertainment & Media App Development In 2021
10 Things Modern L&D App Developers Should Be Doing
How Does AI App Development Deal With Anomaly Detection?
How can Augmented Reality Improve Customer’s Travel Experience?
Fundamental Practices To Ensure Successful Test Environment
How Salesforce Builds Seamless Marketing Campaigns?
Virtual Fitting Rooms: Augmented Reality Development Services
Salesforce Vs. NetSuite: A Brief Comparison For Right CRM
Mobile Apps and Digital Transformation- A Tech-Backed Trend
Customer Experience's Position in LMS Mobile App Development
Build Apps with the Right Social Media Development Company
Integrating EMR and EHR in Telemedicine App Development
How Does AI ML Go Hand in Hand with the Fintech Industry?
Tech Stack that Supports Augmented Reality App Development
How to Build an Effective Patient Dashboard: Telehealth Software Solutions
E-Learning App Development- Tools No One is Talking About
Know Your Salesforce Mobile App Better With This Quiz
7 Little Tricks to Achieve the Best Results in OTT App Development
What Industry Insiders Say About AI and ML?
Know It All About Smoke Testing
Use AI for the Perfect Business Growth
Salesforce Future- Trends to Stay Aware of
HIPAA Compliant Telemedicine App Platforms You Should Know
Trending E-Learning Tools that You Can’t Ignore!
Why AR/VR Will Transform the Future of Web Apps
Remember These Things During Salesforce Mobile Application Development
How IoT is Changing the Telemedicine Industry
Types of Educational Apps That You Can Launch in 2021!
Cloud App Vs. Web App- What are the Differences and Benefits?
Is Augmented Reality the Future of Social Media?
How Does AI Enhance DevOps in an Organization
How to Make an AI Voice Assistant App?
Everything You Need to Know About an LMS Software!
Trends in Robotic Process Automation for 2021!
Bots and AI: The Future of Software Testing and Quality Assurance!
Benefits of Artificial Intelligence in Medicine in 2021
How to Create a Dating App like Tinder and How Much Does it Cost?
Salesforce Platform: A Simple Automation Solution for Complex Businesses!
Best 5 Real-World Applications of Artificial Intelligence!
Why is it Necessary To Have an App For Your Healthcare Business?
How Does Quality Assurance Work With AI?
How to Create an Educational App: Features, Cost, and Business Models?
Salesforce Marketing Cloud - All You Need To Know!
Manual vs. Automated vs. Integrated- What's Best for Modern App Testing?
Biggest Telehealth Benefits for Doctors and Patients
How AI & ML are Transforming Social Media?
OTT App Development- Features, Costs & A Lot More!
E-Learning Trends and Predictions to Watch Out for 2021!
Reasons Why Outsourcing QA is a Great Idea!
How to Integrate AI & ML to Your Existing App?
Mistakes Digital Marketers Make with Salesforce Marketing Cloud
Create an Amazing Social Media App- A Complete Guide
Essential Features of LMS That you Can't Ignore!
Pressing Challenges in Healthcare for 2021
Salesforce or Zoho- Which CRM Suits your Business Better?
AI and Organizational Change - How This Technology is Changing it All
How is Salesforce Better for your Business?
Video Streaming Apps - Attributes and Development Costs
Impact of E-Learning Apps for Better Education
Telemedicine App Development To-Do List
Why You Can't Ignore QA in 2021?
Impact of AI on App Development & UX
Top E-Learning App Ideas for Aspiring Ed Tech Startups
On-Demand Music Streaming App- Features and Costs
Flutter Linux Alpha & the Google Canonical Connection