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How to Use Artificial Intelligence in Mobile App Development?

The most prominent technology in research and development—Artificial intelligence, has evolved into a powerhouse for innovation. New features and possibilities are rapidly emerging from this technology.

The scope of AI has successfully penetrated most industries such as healthcare, sports, education, entertainment, finance sectors, etc. And through its adaptable applications, several similar sectors are exploring new horizons, especially the mobile app development industry.

Artificial intelligence in mobile apps has changed the very definition of smart. With AIs help, applications are now astute and acute to the smallest detail.


How to Use Artificial Intelligence in Mobile Apps?

AI-enabled apps have dominated the mobile app development services market. It has gradually altered our daily life routine and activities, whether related to education, entertainment, healthcare, or finance.
Though we’ll get to learn more about AI-enabled app development but first, let's understand AI briefly:


What is Artificial Intelligence?

Artificial intelligence is an ability developed for machines to mimic cognitive functions; in short, machines demonstrating intelligence is known as artificial intelligence. Unlike us humans with natural intelligence, machines cannot show consciousness and emotions.

This technology comes under computer science, enabling computer devices to perform digital tasks that require human intelligence like environmental analysis, reasoning, problem-solving, learning, and grasping various languages.

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AI has continuously grown and improved over time thanks to AI's evolution in parallelism with an ever-increasing user base. It has become apparent for many industries that artificial intelligence and mobile learning would transform how we communicate with the world around us.

Recognized as a technology capable of destroying the earth as seen in sci-fi movies, today, AI and ML allow chatbots, advertising, virtual assistants, and self-driving cars to adapt and understand our behaviors from media to the way we travel and even the routes to work we take.

AI has helped us in launching rockets to space, make orthodox decision, various simulations, etc.
So, is it safe to say that right alternative of human capabilities would come from artificial intelligence? Only time will tell.

Types of Artificial Intelligence

The increased performance of machine learning and intelligent modeling through sensors and cloud services, linking AI with fluidity- Artificial intelligence in smartphone technology has turned into actuality.

Mobile applications use 3 types of Artificial Intelligence:

1. Weak - NAI (Narrow Artificial Intelligence)

2. Strong AIG (Artificial General Intelligence)

3. ASI (Artificial Superintelligence)


Artificial intelligence in app development

As the recent dominating trend of "on-demand" is gripping users, more personalized user experience-enhancing applications are needed. An accomplished mobile app development services company knows the cruciality of personal and predictive expertise in the business world.

The recent advancements in understanding AI for organizing, collecting, and accumulating data input that applications assemble are necessary to supply into the machine learning algorithm.

Also, by fusing Artificial Intelligence features with Android and iOS app development, smartphones will soon be ready to perform advanced applications such as image labeling, landmark recognition, text recognition, face recognition, and barcode scanning.

Apart from creating a fantastic user experience, equipping AI features to build Android and iOS applications simplifies work in the long run for smartphone users.

Integration of Artificial Intelligence into Mobile Applications

As we already know, the utilization of Artificial Intelligence in mobile apps is increasing. Its application, primarily, offers feasibility and practicalities. AI has crossed its boundaries in technological advancements and can now be available even in the fundamental apps we use daily.

So now, let us dive deep into the concept of artificial intelligence used in mobile Apps:

1. Empowering Search Engines

Voice search and voice commands remain well-known and most widespread progressions in artificial intelligence and machine learning. Rather than using a search bar for typing queries, you can use the search feature as a virtual assistant nowadays.
Even without unlocking your device, you can now ask your device questions to receive answers quickly.

2. Emotion Recognition

AI development has reached another milestone of recognizing emotions by using facial and voice impressions. And it goes beyond micro-expressions perceived by incorporating AI and ML into the mobile applications.

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It can also process image and voice data to read human emotions by catching clear body language signals and vocal intonation.

3. Study behavior patterns

The most standard ways of AI execution in Android or iOS app development require blending algorithms to analyze user behavior patterns. With these patterns, you receive recommendations of the products and services of your preference.

By recommending personalized preferences, AI can improve customer experience and contribute significantly to the sales process.

4. Digital Assistant

As life keeps getting more accessible, no one likes to write e-mails or make a long phone call to access customer support. There are few other ways you can get things done, as mobile app development services have started adopting AI as an option to create digital assistants.

And these intelligent virtual assistants come as chatbots to provide support and assistance required by the customers. Companies are offering super AI hybrid solutions to improve customer service efficiencies by up to 75%.

5. App Security

Every day the number of smartphones and their functionalities increases so is the need for extra high-level security. Because of the increasing number of ever-present menaces of cyber-attacks are introduced, cybersecurity is becoming a significant concern for Android developers.

But AI and ML can reverse it. By interpreting user behavior to reduce intricacies and issues by alerting consumers to potential vulnerabilities.

Apps can effectively incorporate AI in connection with face and voice recognition to establish user identification and authentication, making it a suitable resolution for advancing e-commerce apps and private data apps.

6. Translate Languages in Real-Time

Nowadays, translation apps are pretty standard and readily available and require a healthy internet connection to convert one language to another.
Integrating AI and ML into your app will make smartphones capable of converting text into many languages without needing an internet connection. Want to get your hands on AI-based apps?

We have learned about artificial intelligence in mobile apps and its functionalities, AI-embedded features, and types of AI. And with the latest in innovation, mobile app development services are progressing further.

So, if you’re looking for someone to build apps incorporating AI, we’ll be happy to help you equip all the latest AI models to make your app stand-out from the competition.

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