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AI in Mobile App Development - Take Your Business to the Next Level with our Custom Applications!

ARTIFICIAL INTELLIGENCE

AI in Mobile App Development

Table of Contents

The integration of AI in mobile app development has overpowered the capabilities of traditional mobile applications. With more refined, personalized, and secure operations, the overall experience of your users can be significantly enhanced. Want to know more about the benefits of an AI-powered mobile app that is custom-made for your business? Say less!

 

Talk to our AI Experts!

 

The implementation of AI in mobile app development received positive feedback from users globally as it significantly enhances the capabilities of a traditional app, making AI services the hotcake of the industry. From a small-scale real estate startup to an enterprise-level retail chain, everyone seeks an AI-enabled mobile application to provide their customers with a better experience.

According to a report by Statista, there are around 6.89 billion smartphone users right now, that’s over 85% of the world’s population! These numbers are actually surprising considering that the user percentage was just 48% back in 2016. However, the headcount is not the only thing that has changed in the prior years. Let’s discuss how artificial intelligence disrupted the mobile app industry in detail!

 

Benefits of AI in Mobile Application

Benefits of AI in Mobile Applications

Let’s take a look at some of the core benefits of implementing artificial intelligence in your mobile applications:

personalized user experience

[1] Personalization and Enhanced User Experience

The AI technology present in smartphones constantly monitors the user’s day-to-day activities, ranging from inspecting the user’s every Google search to consistently analyzing their social media activities. By leveraging AI technologies such as sentiment analysis & NLP, this data is processed to generate personalized recommendations. These recommendations effectively enhance the customer experience, improving customer satisfaction and ultimately customer retention rates.

The most noticeable use of this facility is observed in industries such as e-commerce & retail. Integrating a personalized recommendation module is a must-have for your business while developing your AI-powered apps if you want to retain more customers. It helps your business to classify its customers more effectively and allows you to advertise and market a specific product to people of the appropriate demographic more effectively.

alt text

[2] Process Automation and Improved Efficiency

AI in mobile app development can help you automate the routine tasks of your business that generally eat a large chunk of your employee’s time, let’s answer the “how” part with the help of an example. Suppose, you have a medical business and your employees have to process an ungodly amount of applications every day as there is a constant flow of applications. Additionally, all of the data has to be updated on the database manually which not only makes the process slower but also increases the risk of manual errors. Instead, you can implement an AI application that uses OCR technology to automatically extract and update the details of the patient to the database by using an identification token. This makes the entire process super efficient with absolutely no risk of errors from the employee’s side.

ai in fraud detection

[3] Advanced Security Against Fraud Detection

The risk of fraudulent activities within a company’s operational setup haunts almost every industry out there. Statistically, the sinister shadow of this crime casts primarily upon the banking and finance industries. Users are always at risk of getting their accounts swept clean while transacting from a regular mobile application as they lack some important security protocols, which is why the implementation of AI in their mobile applications is so important. With AI mobile app development services, you can build an application with security features that can swiftly react to an inconsistent transaction from a user's account. The primary goal of this application is to verify if it’s the authorized user who made the transaction or a suspicious external agent trying to force their way into the system. An AI-based mobile app can identify and alert the user of fraudulent activity in 3 simple steps:

  1. If the transaction amount or frequency suddenly changes from the conventional pattern, the AI further investigates the transaction.
  2. It tracks the location from which the transaction was processed, now, if that’s outside the user’s regular locations as well.
  3. The AI application flashes an alert to the authorized user’s device about a suspicious transaction. The user then has the option to verify if they made that transaction or not. In case the latter is chosen, the AI will push a request to the main server to temporarily pause the account until the issue is resolved.
Ai for data mining

[4] Advanced Search and Data Mining

Artificial intelligence in mobile app development allows users to get significantly better and more advanced search results as it allows the mobile application to understand the search intent based on the user’s preferences and browsing patterns. The AI-backed application can further elaborate on the user’s intent by using NLP to understand the requirements of a customer. This is achieved by analyzing the query to understand the context of the search request even if the main objective isn’t directly mentioned. For example, if a user is browsing an online clothing store and searches for “a pant with a lot of pockets”. The main keyword that the user is looking for is “cargo pants”, even though it is not mentioned here, the search results will show the user’s various cargo options as the AI model was able to understand the user’s intent behind the search. Additional features such as image searches and voice commands make finding the desired products a much simpler task, this further improving the experience of an AI-powered mobile app.

 

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AI Services Used to Enhance Mobile Applications

Let’s discuss how these AI technologies play a significant role in improving the quality of mobile applications which significantly boosts the customer experience:

NLP

[A] Natural Language Processing

Natural Language Processing or NLP is popularly used in mobile applications that deal with a large amount of user-generated content. For example:

  1. Social Media Applications: enforcing guidelines by detecting and removing inappropriate or spammy content by users is one of the many popular use cases of NLP in social media applications. Other use cases include sentiment analysis, content recommendation, etc.
  2. Text Summarization Apps: NLP-based tools (like Summarizer) can quickly scan down extremely large bodies of text to create a gist of all the detailed points mentioned in the document, saving a substantial amount of the reader’s time.
  3. Writing Assistants: While manually writing a piece of information, humans struggle to produce a perfect piece of writing with proper flow and appropriate use of words, especially in a time crunch. NLP-based tools can understand the reader's intent and recommend improvements in text in real time.
Computer Vision

[B] Computer Vision

One of the most commonly used AI features used in mobile applications. Computer vision translates the visual world for your mobile applications and assists them in understanding the necessary visual components in their environment to perform necessary tasks:

  1. Object Detection: the most common example of these features can be the facial recognition system of your phone that allows you to unlock your phone by just looking at it. Another example can be the filters that people use on social media apps.
  2. Augmented/ Virtual Reality: computer vision is used in real-time image & video processing. This is the core technology used for popular services such as augmented reality and virtual reality which are used across several mobile applications.
  3. QR Codes: this allows your mobile applications to translate QR codes which can be used in various operations such as payments, verification, and inventory tracking.

Predictive Analysis

[C] Predictive Analysis

Now, let’s talk about the use of predictive analysis & machine learning in mobile apps. The primary objective behind using machine learning technology is to provide them with recommendations based on their using habits or assist them with their routine tasks such as:

  1. Personalized Recommendations: e-commerce platforms and media apps use this feature to predict and showcase popular products based on your recent searches to help you choose the relevant product/service.
  2. Health Tracking Features: ML is used in fitness applications to monitor the daily routine of a user and helps them keep track of their progress. Additionally, it can continuously monitor your vitals and predict any potential health risks.
  3. Fraud Detection: machine learning is used in finance-based mobile applications to monitor the user’s purchasing habits and alert them in case of an unusual transaction, thus predicting fraudulent activities.
Ai in Speech Recognition

[D] Speech Recognition

The use of speech recognition AI in mobile app development provides users with a convenient and “hands-free” experience while using their smartphones:

  1. Voice Control: speech recognition is used to control mobile devices without actually touching the handset, the AI-based system can understand the context of human language and perform actions based on the instructions.
  2. Transcription Tools: this is much faster than typing or noting down a piece of information as the users can directly dictate a piece of information to the mobile application.
  3. Real-Time Translation Tools: this is a game changer as it can automatically identify and translate the speech of any language, largely mitigating the language barrier. These tools can have additional features such as the option to mention the emotion behind the sentence and much more.

 

 

Ai based mobile application

How to Develop an AI-based Mobile Application

If we compare the development of an AI-based mobile application to the development of a standard mobile app there is a striking difference in the amount of research and data required for the development of the former. But that’s not all, let’s discuss the additional points you need to keep in mind while developing AI-powered mobile apps:

problem identification

(1) Identifying the Problem

While drafting the layout of your project, you will find it tempting to enhance every single aspect of your application with the help of artificial intelligence. However, all this does is increase the complexity of your application with pointless features. Alternatively, if your mobile application is focused on leveraging AI to fix only the primary pain points, the resultant AI application will have a simple and reliable architecture, instead of a complicated mumbo jumbo.

data availability

(2) Checking for the Availability of Necessary Data

We all know AI modules require a large amount of clean and unbiased data to be trained appropriately. If you’re planning to use your company’s data for this process, make sure it is complete and bias-free. However, if you’re planning to use an outside source to fulfill your AI app development needs, you should always be super cautious about the credibility of the source. You can even seek professional assistance from development companies like BinaryFolks to help you find appropriate datasets.

Understanding solutions

(3) Understanding the Scope of the Solution Model and Fixing the Metrics Accordingly

It is important to predefine the goals you wish to achieve with the implementation of AI-based mobile apps. Otherwise, it will be difficult to evaluate the impact of the new technology on the development of the business. So, it is best to discuss the intent behind developing the solution model with your service providers and set appropriate metrics to measure the effectiveness of the application beforehand.

Developing the Solution

(4) Developing the Solution Model

After completing the prerequisites for developing solutions with AI in mobile app development, the next critical step would be to develop the solution model. Whether you are building an AI mobile application from the ground up or integrating AI capabilities into a pre-existing standard mobile application, the need for technical expertise always exists. Our AI development team has hands-on experience building interactive and precise AI based-mobile applications that are worth every penny of your investment.

Integrating APIs

(5) Integrating APIs and Other Technologies Into the Solution Model

Integrating APIs help businesses to upgrade their standard mobile applications into AI-based mobile applications. For instance, an API can be used to access third-party AI services, this allows the standard application to include AI-based features without actually having the technology integrated into the solution model. However, if your vision is to build a full-scale robust AI-powered app, using only APIs might not be enough.

Results monitering

(6) Making the Final Tweaks and Monitoring the Results

After the model is up and running all that’s left is to test the models to remove any miscellaneous issues before we hand the model for you to use according to your requirement. But wait, there’s one last thing left. Remember the metrics and goals you established recently? After the model is developed, you should use these parameters to continuously check the performance of the model and suggest various ways in which you can improve its impact on the business.

 

BinaryFolks - The One-Stop Shop for All of Your Mobile Development Needs

Now you know the nitty gritties of developing an AI-based mobile application, but wait before you go. Let’s take a quick gander at the value addition that BinaryFolks can provide to your upcoming AI-based mobile development project:

Mobile App Development service

(A) Hire BinaryFolks’ AI Maestros & Glide Through your Mobile App Development Journey

Developing an AI solution can be tricky sometimes, if your company lacks the expertise to develop an AI-based mobile application that not only has an engaging user experience but also an unbiased architecture, then look no further. BinaryFolks’ AI developers have hands-on experience in developing AI-powered mobile apps, tailor-made to match the client’s requirements along with a touch of our expertise to design the perfect solution that fits your business like a gear in the clockwork.

custom AI Mobile App

(B) Need a custom AI Mobile App Development Company that Doesn’t Compromise on Quality?

You may find companies that will sell you custom AI applications at the cost of peanuts. In reality, it will just be another generic off-the-shelf model with your brand stamp on top of it. If that’s not what you want and are looking for an AI mobile application that is truly custom-made from the ground up to fulfill your unique business needs then BinaryFolks is your go-to choice. We do not attract clients with unrealistic & cheap price tags, we focus on what matters the most to any stakeholder, quality.

 

Conclusion

We tried to cover everything you need to know about the potential of artificial intelligence in mobile app development. From its benefits to its use cases, and also a detailed discussion of the development process. Regardless, if you still need some answers that you can’t seem to find, feel free to contact us anytime you want. Our consultants will promptly schedule a meeting with you to discuss your confusion so that you don't have to leave a single stone unturned before starting your AI-powered mobile app development journey!

 

Get Complimentary AI Consultation!
 

#ai #mobile apps #app development
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