How To Use AI Technology For Developing an Automated Mobile App?

How to Use

AI Technology

For Developing an Automated Mobile App?

Introduction 

AI-powered apps are taking over the digital market very well and quickly. People are welcoming and using the technology with full excitement. In the past, many used to dream of this era, where the work would be done immediately after we requested it. Now with the help of Develop an AI Mobile App, that dream has come true.

We don’t have to write or learn things that our mobile phones can easily manage. Instead, users only have to remind or command their mobile phones, and the task is done. Artificial Intelligence mobile apps have many rich features which have made it so in demand amongst owners and app developers.

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Mobile app development is one of the leading markets in various industries in this digital era. Furthermore, if you want to stay ahead in the competition, you must plan your business strategy. It requires more than just a mobile-friendly interface and a user-friendly experience to stay ahead in the competition.

Stats of AI-Powered Mobile Apps

Research by Gartner • AI implements was rare; only 10% – 15% of enterprises had deployed AI or would do so shortly. But now, in 2021 around 37% of organizations have implemented AI, which is a 270% increase in four years.

Research by Microsoft • Around 44% of organizations fear that they’ll lose out to startups if they’re too slow to implement AI.

Research by the Street Wall Journal • AI advancements can increase Gross Domestic Product (GDP) by 14% across the globe.

Research by GrandViewResearch • USD 25.0647 billion is the anticipated value of the global AI market by 2028 at a CAGR of 40.2%.

Why should you Integrate AI into Mobile Apps?

Personalization

Advanced Research

Predicting User Behavior

Improved Security Level

More Relevant Ads

User Engagement

Three Primary Ways to Implement AI

Reasoning

Recommendatio n

Behavioral

How to Start Implementation of AI into Apps?

Identify the Issue to solve through AI

Know Your Data

Understand that API is Not Enough

Employ Data Scientists

Top 5 AI Integrated Apps

Siri

Cortana

Google Assistant

Alexa

Elsa

Conclusion As you can see, AI is capable of greatly facilitating the workflow of different organizations.

That’s why adoption of this technology is moving at a breathtaking pace. Seasoned companies along with fresh-baked startups are integrating Machine Learning and Deep Learning algorithms into their applications to offer advanced features to end users. Healthcare, Business, Education, and Manufacturing are only some of the sectors using ML applications.

The continuous development of AI in general and Machine Learning in particular is leading to new opportunities for business owners and new markets for services.

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