AI and Android App Development Make Enterprise Mobile Apps Smarter in 2020

Emerging technologies such as Internet of Things (IoT), Augmented Reality (AR), Virtual Reality (VR) and Artificial Intelligence (AI) have found their place in the development of Android apps. These smart technologies help businesses in every way.

They are becoming popular worldwide for offering solutions for business apps. With its great potential for modern businesses, it benefits from digital agencies in many different ways. It is now an inseparable part of business applications.

The role of artificial intelligence in the development of customized Android apps

Statista reports that the global AI software market is expected to grow by 126% by the end of 2020 and reach a predicted size of more than USD 17 billion. It indicates the exceptional growth of the market for artificial intelligence software. AI introduces various other technologies including machine learning, machine reasoning, natural language processing, and computer vision, among others.

It is beneficial for object identification, image recognition and many other relationships for generating revenue. Development services for Android apps such as Message Muse integrate these technologies into your business app and make them more intelligent. AI predicted the next major technological shift and will be used vertically in almost every industry, just like the smartphone revolution.

AI appears to have a broad multidimensional impact on the mobile app industry. Companies are constantly trying to introduce new functions in apps. AI has become a subject of growth among trendsetters in the field. The multifaceted nature of technology opens up a whole new world of innovations. Here AI plays its role and takes the development of your mobile app to the next level. AI solutions accelerate user engagement, with a better understanding of user behavior patterns.

Google has changed its "mobile-first" strategy to "AI first" and introduced new Google AI tools. With these tools, developers can develop advanced mobile apps. Let's start with one of the useful functions:

Face Recognition:

This function is used as a safety measure in various applications. As the name clearly shows, it identifies the user's face for surveillance purposes. Real-time face detection helps in following someone's movements. iOS and Android devices integrate this feature into their face recognition cameras in different frames. Facebook uses this technology in its algorithm to identify the faces of users in the posted photos.

Image Labels:

Mobile app development industries implement this feature to achieve different goals. Using Image Labeler Apps, developers give interactive labels to the images. This technology classifies an image by assigning a label to rectangular ROIs, i.e., the area of ​​interest. It gives the users an interactive experience; as a result, they connect to the images and objects.

Landmark Detection:

This unique function helps in locating the specific points in the 2D images. Experts define these points in a specific research-based domain. Landmark detection is a starting procedure for a complex investigation process. It looks like face detection. It improves security during the payment transfer and makes it safer to do transactions.

Personalization:

AI provides predictive analysis by checking purchase choices, collecting user information, activating the system and displaying personalized recommendations. It plays a huge role in the development of custom Android apps with personalized functions. Personalization in an Android app builds a stronger bond with your customers and increases the conversion rate. With the help of this useful business strategy, companies can increase their sales and excel in the competition.

ChatBots:

It appears to be one of the most revolutionary concepts for the development of Android apps. It collects the interests and other relevant data from customers through interaction with real target groups. Strive for improved customer service. With chatbots, companies have no need to hire a customer service representative. Due to the human-like interaction with the consumer, it becomes part of Android apps for various companies, such as healthcare, e-commerce and insurance companies. It becomes an integral part of apps. There are many apps with a Chatbot function, such as Apple Siri and Snapchat. It improves the audio and video functions in a smart device.

Smart Answer:

The smarter version of Gmail combines AI and ML technologies. One of the important features is the Smart Reply. Mobile app development agencies use this AI-based feature in business apps. It opens a way for easy communication and saves you time. The emerging technologies AI and ML can make a big difference in business applications. The integration of this technology into your business system can increase development costs, but it is worth the investment because of the improved brand reputation and higher ROI (return on investment).

Role of AI in Various Industry Representatives:

AI solutions include thorough market research and analysis. Such solutions collect all relevant data and eliminate the risk of errors. More than 30% of mobile app development companies prefer AI for better marketing strategies and for increasing sales.

Improved Search Experience:

AI improves the search experience of users. Speech recognition technology makes it a lot easier. ML and AI integration suggests new ways of searching that take the user experience to the next level.

Forecasting Marketing:

Marketers must collect, analyze and maintain user information. It takes a lot of effort, time and energy. AI-driven applications analyze and manage data in a systematic way.

Why integrate AI in the development of mobile apps?

With the meaningful impact on growth, business relationships and customer expectations, AI has the most attention. It introduces some striking transformations into the world of mobile app development.

By including AI in apps, smartphones can play advanced technology roles such as text recognition, image delay, recognition of recognition points, bar code scanning and face recognition. Mobile apps with built-in AI functions ensure a great user experience.

Strongly Optimized Search Process:

The search process becomes increasingly difficult and intuitive with relevant suggestions, spelling corrections and spoken searches. Artificial intelligence optimizes the search process.

Study Behavior Patterns:

Retail giants such as Amazon and eBay use machine learning and AI-powered mobile apps. The algorithms can find trends, search data, adjust apps to create context reach possibilities for users. Companies can collect data through point-of-sale machines to provide a strategically enhanced user experience.

Android app developers integrate algorithms into apps to analyze user behavior and make relevant recommendations as they submit requests through search engines. This technical method plays a major role in the e-commerce sector. It contributes to offering personalized products and improved sales experience.

Digital Assistance:

Companies are now incorporating AI to create digital assistants. You can find them on smart TVs, smart speakers, smartphones and other smart devices with an internet connection. It improves service efficiency by 80%. AI assistants accept voice commands, which allow searching the internet, scheduling, setting alarms, dictating messages, and controlling media playback. You can easily arrange things such as WiFi, volume and Bluetooth. 

Enhanced Security:

AI is used for security purposes in e-commerce apps. The technology has been successfully included in the development of Android apps because it offers a fast authentication process with improved security.

Use Cases:

Starbucks - Starbucks introduces a cloud-based flywheel program. Supported by AI and ML for personalization. It collects customer data and suggests a personalized routine for buyers.

Amazon - Amazon revolutionized its working process with AI. Smart technology has a deep understanding of recommendation problems based on the buying history and buying behavior of users.

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