Ryan Williamson
Ryan Williamson 23 July 2018
Categories Technology

Impact of AI on Android App Development

The world is rapidly stepping into the tech-enabled times. Technology, one just a part of imagination has now turned a reality. Artificial Intelligence is increasingly becoming a new key to success for businesses around the world.

As defined by Techopedia, Artificial Intelligence or AI is a focus vertical of computer science industry that underlines the creation of intelligent machines, which work and react like humans. Some of the activities computers with artificial intelligence are designed to perform are;

  • Speech recognition
  • Learning
  • Planning
  • Problem-solving

In simple words, AI means training computer machines to execute tasks that humans perform otherwise. Machines adapt to human thinking and intelligence to perform functions through a combination of machine learning, machine vision, natural language processing (NLP) and knowledge management mechanism.

In its early stages, navigating AI-powered apps among users was a challenge for tech giants like Google and Apple. Later voice-based searches proved it handy.

Today, placing order using voice commands and automating customer services are some common uses of AI. Recently, Google even introduced ML Kit for Android app developers to enable them to integrate a set of pre-built Google-powered machine learning (ML) models within their applications. These ML models support face detection, barcode scanning, text recognition, landmark recognition, voice recognition, and image labeling.

Injecting AI into your Android apps can be of great appeal to users because it serves the customer requirements in the most comfortable and quickest ways possible. Some compelling use cases of AI for Android development services include:

Personalized Experience:

With artificial intelligence injected into your apps, you can allow users to receive quick and personalized services and tap into information accumulated from various sources at a single place. For instance, 80 percent of Netflix TV shows recommended to users are through its AI-based recommendation system.

Secure Mobile Payments:

Artificial Intelligence can be of great help when it comes to ensuring the security of sensitive information exchanged through portable devices, online payments, customer credentials and credit card details. With AI’s pattern detecting algorithms, artificial intelligence can help to minimize security threat, fraud, and attacks.

Seamless Communication:

With traditional customer service models, responding to customer queries anytime anywhere is not an easy feat. However, the modernized AI-enabled Android apps allow enterprises with a faster turn around to customer queries. It is possible via implementing chatbots and intelligent personal assistants.

Understanding Customer Behavior:

AI helps effectively track the user interaction and behavior for your application and products to gather useful insights, understand user preferences, to support you take informed actions. You can improve the usefulness of the app and create a user-centric app promotion strategy. It ensures a richer user experience and high app downloads, sales and ROI for your business.

AI technology is advancing at an unprecedented pace. It is set to rule the features and functions of the present mobile industry in the most intuitive and innovative ways. However, in addition to the benefits mentioned above, AI even has application potential for implementing image recognition, speech recognition, quick service delivery and process automation for your Android applications. What are the other use cases of AI for Android-based applications? Share your thoughts with us in the comments section below.

elysium academy
elysium academy

This is really a great blog and I agree with all the trends which its mentioned in the above articles. We are looking for 2019 trends, it brings revolution in Mobile App Development Industry. (Learn more:

Alise Williams
Alise Williams

AI technologies are rapidly developing, in particular in the mobile app industry. I think they could be used almost in any app from game to business utility. One more use case can be the usage of AI in apps that help people to find and order different services (like CleanAgents app developed by Redwerk team With the help of AI, such apps could be supplemented with chatbots, recommendation systems, personal assistants, and so on for greater user convenience.

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