How AI Is Creating an Intelligent App Ecosystem

January 23, 2019

Artificial intelligence (AI) is beginning to play a large role in the app development industry. As AI becomes integrated into more apps, the need for an app ecosystem increases.

Artificial intelligence continues to grow with new technological innovations and practical applications. Businesses are implementing more complex artificial intelligence into their customer service and product platforms, including apps. Google tailored its own mobile platform, Android, to incorporate more artificial intelligence into its recent updates. 

The latest iteration of Google’s mobile platform, Android Pie, brings two AI-powered features: 

  1. Adaptive battery: A smart battery management system that employs machine learning to anticipate which app a user will use next
  2. Adaptive brightness: A smart auto-brightness system that employs machine learning to adapt your brightness preferences to different surroundings

Both features rely on DeepMind’s machine learning framework to predict users’ actions. DeepMind, a Google’s subsidiary acquired in 2014, is a leader in artificial intelligence research and application.

Moreover, Android Pie brings an updated version of the Neural Networks API, which will extend Android's support for accelerated on-device machine learning. 

On-device machine learning allows devices to run accelerated AI workloads locally without the need for cloud-based resources. 

Google has decided to make Android development more AI-centric in the coming years. Users expect a great deal of automation from the Android apps they use. Still, integrating AI into apps can be challenging, especially as users expect a seamless user experience. To deliver a ubiquitous user experience, developers are coupling many intelligent apps to make way for powerful, intelligent app ecosystems. 

Are developers ready for this new wave of intelligent apps?

Implementing AI Into Mobile Apps 

Mobile apps continue to advance with artificial intelligence acting as a catalyst. AI empowers the evolution of apps from a simple extension of business services to intelligent pieces of software that can make decisions and predict user behavior. 

With mobile apps, businesses can capture user data from a personal device. AI allows the app to learn from this generated data. As shown in the below graphic, AI-integrated apps help tech-savvy enterprises capitalize on the advantages AI brings: intelligence, intelligent reports, and higher sales numbers.

AI Data Process

The data that AI devices read helps to generate more useful information on potential buyers, which can convert to sales. 

Developers must adapt quickly to changing innovations due to intense competition. With over 5 million apps in the Google Play store and Apple App Store, app developers must find ways to distinguish themselves from competitors. Artificial intelligence can create personalized app experiences for users and adapt to various situations due to automated learning capabilities. 

Still, what exactly makes an app intelligent? 

Building an Intelligent App Ecosystem

Effective artificial intelligence apps understand user intent. They can read why a user chooses to click a certain feature or buy premium content. Data analysis and machine learning are cornerstones of the intelligent app ecosystem. By interfacing AI cores with REST APIs, developers can use machine-learning algorithms for services like mapping and location.

REST stands for representational state transfer and is an architectural style for exposing your program using existing protocols, typically HTTP, to different web services and interfaces. 

The resulting app, powered by AI, can predict user intent, gather behavioral interest and social data, and create graphics from it: 

AI App Data

Intelligent apps will soon act as building blocks for high-level, human-to-machine, interactions. A connected AI ecosystem will increase machine, computer, and program efficiency, which will allow an app to predict user behavior and create personalized user experiences. 

Apps suggest actions, ask questions and solve challenges to learn more about user behavior.

An intelligent app ecosystem allows users to achieve more with the apps installed on their phone. An intelligent app can:

  • Study the user context and predict user intent
  • Make informed decisions for the users
  • Provide information to the user based on their previous searches
  • Auto-reply to emails and messages
  • Automate tasks using preprogrammed commands
  • Predict users’ communication choices and tone

AI is a multi-facet technology that goes beyond self-learning algorithms, machine learning, and deep learning. AI incorporates big data, data mining, and neural networks into its programming. AI has disrupted the mobile app industry as developers now focus on personalization and innovation.

Creating an Artificially Intelligent Mobile Commerce System 

The biggest advantage of mobile commerce is the high degree of personalization that can be delivered through a mobile app. Machine-learning platforms sit on vast amounts of data from e-commerce platforms. If AI implements the data correctly, then e-commerce businesses can give a higher level of personalization to their mobile app.  

The developments in artificial intelligence motivate e-commerce businesses to distinguish themselves from competitors. Sellers can deliver tailored experiences to each customer. If development continues, artificial intelligence will be a standard feature in apps that developers will use to create predictive and personal e-commerce experiences. For example, virtual assistants such as Siri and Cortana can talk to users as they would to another human being:

Virtual Assistants

Virtual assistants can search products for users, make digital payments, recognize a user’s voice, and respond to commands.

Chatbots are programs designed to simulate human conversation and are generally used for customer service. Artificial intelligence powers chatbots. With advances in machine-learning algorithms, chatbots can analyze consumers’ shopping behavior to find patterns and suggest products to buy.

Integrating Artificial Intelligence Into Business Applications

AI has the potential to improve efficiencies in many industries. As consumer demands continue to grow more complex, businesses have to deliver personalized experiences. AI can be the solution. 

Over 60% of business with innovation strategies said they use AI to find opportunities in data. The benefits of AI in business are pushing enterprises to develop AI-enabled apps quickly. 

AI apps can revamp outdated practices for processes involved with supply chain management, e-commerce, and logistics. For example, machine-learning, when applied within supply-chain-planning, helps forecast demand and supply and, thus, transforms the optimization of supply chain decision-making.

Automating Apps With Artificial Intelligence 

In addition to e-commerce and business applications, artificial intelligence apps can control automation devices.

For example, smart-home devices help control automation tools in the house. With an app, you can chat with your home automation tool like you would with any other human. You can tell it to close doors, dim lights, lower temperature.

Home Automation Apps

As homemakers invest more in smart-home devices, the home automation industry continues to grow. Companies, like Nest, connect the home devices to your phone so you can control your thermostat and lighting with one button.  

Considering the popularity of app-controlled automation like Nest, Google Assistant, and Siri, the market demand for AI is increasing. 

Predicting the Future of App Development

Artificial intelligence presents many possibilities for innovation in the mobile app industry. AI is the future of mobile app development, as AI changes how users interact with app products and services. Although it can be difficult to implement AI into your app, you can hire a top artificial intelligence company to help with the process. 

Soon, app users will be connected to an ecosystem of intelligent applications rather than individual apps. Apps will work together to deliver a personalized user experience to the user regardless of the app they have. As well, apps will be intelligent enough to track the transition from one change to the next. 

Businesses developing intelligent apps will benefit from the predictive analysis these apps can generate. An intelligent ecosystem will gather a huge amount of behavioral interest and social data, which can be used to further improve user experience and increase revenue. 


About the Author

Aditya Modi HeadshotAditya Modi is the CEO of TOPS Infosolutions, a leading web and mobile app development company. With the right allocation of resources and emerging technology, he provides innovative solutions to businesses worldwide to solve their business and engineering problems. An avid reader, Mr. Modi values great books and calls them his source of motivation.

 

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