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AI Revolution: How AI is amplifying mobile applications? Technology Use Cases, Implementation Process

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AI in Mobile Apps

Artificial Intelligence has become one of the biggest mobile app industry trends. Every business is actively researching ways to integrate Artificial intelligence to empower their mobile apps.

It is because AI brings ample benefits i.e., personalized experience, reducing manual labor, automating tasks, and increasing business efficiency. Looking at these benefits and growing statistics, more businesses want to learn how they can leverage the power of Artificial intelligence in mobile apps to increase user base, revenue, and growth.

In this article, we will explain how you can use AI in mobile apps and the dynamics associated with it. However, before heading to the article’s core, let us understand Artificial Intelligence and learn about market statistics.

What is Artificial Intelligence?

In the last decade, several definitions have been associated with Artificial intelligence. For example, John McCarthy from Stanford quoted:

“It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.”

Over time, the potential of AI looks vast which means there are no limits to the potential of artificial intelligence.

Artificial Intelligence Market Statistics

  • In 2022, the global artificial intelligence market was valued at $136.55 Billion, and by 2030, it will register an annual growth rate of 37.3%.
  • The healthcare industry will see the highest potential use cases of Artificial intelligence.
  • Open AI’s Chat GPT application registered 100 million active users making a record.
  • The manufacturing industry will gain $3.78 trillion in profits by 2023.
  • Manufacturing and 16 other industries will see a gain of approximately 38% by 2035.
  • Artificial intelligence will contribute $15.7 Trillion by 2030, nearly India and China’s combined GDP.

How Does Artificial Intelligence Leverage Mobile Apps?

A business aims to integrate Artificial intelligence in mobile applications to make them efficient, intelligent, and profitable. While performing the same, there are a few goals, and here are some of them.

Problem-Solving

Artificial intelligence solves problems in mobile applications without any intervention from humans. Once strategized and applied, Artificial intelligence can provide users with the best routes to travel. It can even connect the best rides that are close to us nearby. With the strong potential of real-time decision-making, AI is solving problems for the audience. And, around 33% of users use AI technology for their daily life solutions.

Personalized Recommendations

Over-the-top platforms have a stronghold on personalized recommendations. And the greatest examples of the same are Amazon Prime and Netflix. Netflix counted 70% completion of an episode or movie  Through Artificial intelligence, businesses are able to generate personalized recommendations to users using mobile applications. It brings higher retention rates. E-commerce websites highly use personalized recommendations to show relevant advertisements.

Understanding the Behavior of Users

Not only does the AI read the digital activities, but it can also predict the user’s behavior. What time do you take lunch? What time do you wake up? Artificial intelligence has the potential to take your data, analyze it, and make your complete behavior profile which is one of the goals of implementing AI in mobile apps.

Digital Security

Throughout the world, cyber crimes are increasing. 46% of organizations pay ransom after they meet with a cyber attack. However, Artificial Intelligence is actively transforming cybercrime and security. AI-rich algorithms deliver spam filtering and fraud prevention. Cyber attack algorithms can identify fraud activities in advance automatically and apply filters to prevent fraudulent activities.

Top Use Cases of Artificial Intelligence Technologies in Mobile Apps

Artificial intelligence is evolving at a very fast rate. It has already transformed the lives of users through its strong capabilities. Here are some of the ways to explain how you can use AI in mobile apps.

Natural Language Processing

One of the top ways mobile apps use AI is through natural language processing (NLP). With it, mobile apps get the capability of understanding text and words just like human beings. NPL does all the processing in real time, which makes it convenient for the users to save time. Today voice assistant features are bringing more user engagement to mobile apps. Siri, Google Translate, and Google Assistant applications are great examples of NPL. The number of digital voice assistants will reach 8.4 billion units by 2024.

Text Recognition

Another great use of AI in mobile apps is text recognition. This technology has transformed the note-taking experience in mobile apps. Text recognition technology is highly driven by AI, where the AI recognizes the handwritten text and converts it into digital text. Which then can be copied and pasted into the mobile applications themselves. Mobile apps like Google keep using and integrating this form of artificial intelligence strongly to provide the best value to their user base.

Chatbots

Chatbots have revolutionized every industry. Through AI, mobile apps have integrated intelligent chatbots that answer user queries just like a human. Whatever query you hit on a chatbot, it will intelligently analyze it and throw the best possible answer to it from its database. Big companies like Google, IBM, Microsoft, and many more are investing heavily in the research & development of AI-based chatbots.

AI Implementation Process in Mobile Apps

While implementing AI in mobile apps, a business has to focus on the below process. Also, note that it is not always about APIs for integrating off-the-shelf programs into your mobile apps. Artificial intelligence is more about general algorithms that can solve advanced problems.

  1. What are the issues you want to solve through AI? (A recommendation, data collection or eliminating manual work)
  2. Analyze and understand your data for the identified problem. The data must not be duplicated and shall be helpful in solving the issue.
  3. Strategically defining the implementation where it is important to understand AI is more about algorithms rather than off-the-shelf APIs.
  4. Build metrics on which your intelligent algorithms will make decisions.
  5. Hire a data scientist team to lay down the plan.
  6. Ensure security in the complete process.

Wrapping Up

Artificial intelligence has already begun to set trends that humans never imagined. There seem to be endless opportunities and potential to explore concerning AI and it’s highly leveraging mobile apps. From healthcare to e-commerce and the sports industry, every industry is registering growth and revenue with the power of artificial intelligence in mobile applications. AI’s future is undoubtedly bright, sustainable, and a great journey to explore endless possibilities empowering businesses and users.



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