Artificial Intelligence And Its Impact On Mobile Applications
Blog: Indium Software - Big Data
Mobile apps and user experience have evolved dramatically over the last decade.
At the beginning, we had simple apps that did very little. However, everything has changed in the last decade as a result of the Smartphone revolution.
These mobile apps influence everything from your daily chores to your social interactions to your business strategy.
When we think of artificial intelligence (AI), the first names that pop up are probably Siri, Bixby, Cortana or Alexa.
According to the most recent McKinsey Global Institute reports, Google and Apple have invested billions of dollars in artificial intelligence. According to the report, AI advancements brought in $139 billion in investment in 2020, which was more than three times the money invested in AI three years prior.
The concept of a ‘smart assistant’ which can solve everyday tasks has captivated millions of users across all business sectors, not to mention education, healthcare, and finance. However, AI is not limited to smart assistance; it is progressing at a rapid pace. Many mobile apps are now utilising AI to improve user satisfaction.
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AI is continuing to improve mobile apps by acting as a catalyst. It enables the evolution of mobile apps by transforming them into intelligent pieces of software capable of predicting user behaviour and making decisions. AI algorithms also enable mobile apps to learn from user-generated data.
It is important to note that AI in this context does not refer to pure self-aware intelligence machines. Rather, it is a catch-all term for a variety of applications used by website and mobile app developers.
Contributions Of AI to Mobile Application Development
Facial recognition: Because of the ‘easy to use’ nature and added layer of security, face recognition lock has become one of the most popular features on Android smartphones. These systems use AI and ML-based algorithms to recognise a person’s face to unlock the phone and the various apps that are installed on it.
Smartphone manufacturers are expected to implement even more advanced AI and ML in the coming years to identify a person as their facial features change, such as growing a beard or wearing glasses.
Search Engines on mobile phones: The use of voice search and voice commands is perhaps one of the most common and popular advancement in artificial intelligence and machine learning. Customers used to type their queries into search bars. It is now as easy as asking your virtual assistant to look for something for you.
Instead of signing into your computer or unlocking your phone, something as easy and simple as “hey google what’s the best restaurant near me?” provides users with the quick answer they seek while also directing them to your business. Voice command allows you to respond to text messages without having to type.
Smart Camera apps: The smartphone camera is one of the most important areas in which custom android app development personnel and android mobile manufacturers are making significant advances in AI and ML. These advanced cameras can detect the subject within the frame, such as faces, fireworks, or food, and adjust the settings to produce the best possible image.
Artificial intelligence and machine learning can now automatically identify and enhance facial features for outstanding portrait images. More advanced features can even count the calories you eat from a simple photo of your food or provide information to businesses about how and where their products are being used when photos are shared on social media platforms.
Emotion recognition: Emotion recognition is a rising star in AI development. We have now advanced to the point where we can incorporate ML & AI into apps and capture micro& macro expressions. Through image and voice data processing, software can now read human emotions through the capturing of subtle variations, body language cues and vocal inflection. Companies can use these analytics to enhance consumer experiences by identifying the need for a product or service or to get new ideas for new product.
Real-time translation: There is a vast array of translation apps available. However, the majority of these apps are inoperable without access to the internet. AI could allow smartphones to translate & transliterate different languages in real-time without requiring an internet connection.
AI can provide a language instruction tool that allows sentences and phrases to be translated almost instantly without a time lag, similar to how interpreters work. The translation tool can be adjusted for latency using AI. This means that a user can specify the amount of time between a spoken word and its translation. This would be incredibly beneficial for languages that require a longer time lag for accurate translation.
Advantages of implementing AI
- AI assists you in completing monotonous tasks quickly
- Accuracy and completeness
- Enhanced customer experiences
- Intelligent interactions with users
- User retainment
Personalized user experiences
The advancement of AI technology has enabled mobile users to completely redesign the value benchmark of existing user experience. Users are starting to demand more detailed and personalised mobile app performance.
Retail brands such as Tommy Hilfiger, Starbucks, Nike, etc can deliver personalised experiences that include recommendations unique to each user by collecting and analysing customer data based on purchases and locations.
In reference to Tommy Hilfiger’s chatbot, users can use the chatbot to browse their most recent collections or get a behind-the-scenes look at the most recent fashion show. The chatbot also employs natural language processing to provide style advice and product recommendations in addition to responding to customer inquiries. The bot gathers information about the user’s style preferences by asking a series of questions and then suggests an outfit based on the information gathered.
Smartphones have GPS tracking capabilities, as well as microphone and camera features, making them an ideal platform for AI applications. Furthermore, Apple revealed that the iPhone XR, 11, and 12 will include an A12 Bionic chip with a neural engine designed to use AI hardware in previously unimaginable ways.
When AI technology is combined with these built-in features, apps become more relevant and personalised. Using artificial intelligence to contextualise user behaviour will make each app session better than the previous one.
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AI opens up a plethora of opportunities for innovation in the mobile app industry. AI is the wave of the future in mobile app development. Users’ interactions with app services and products are changing as a result of artificial intelligence. Users of mobile apps will also be linked to an ecosystem of intelligent applications that will collaborate to provide a personalised user experience.
The greater role of AI in mobile apps has demonstrated its value in terms of business growth and user engagement. Here are some examples of how AI can help you understand your users:
- AI can collect and store user data by analysing user behaviour and interactions with the app.
- AI collects essential data such as location, contacts, and daily actions to better serve users.
- AI products level up the user experience.
A smart ecosystem will collect a large amount of social data and behavioural interest, which can be used to boost revenue and improve user experience. It is not an exaggeration to say that AI is reshaping the smartphone industry. As a result, it is critical to include AI in your business and mobile applications.
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