Artificial Intelligence or AI is the ability of a machine to perceive, understand and communicate like a human being. It can be used to automate processes and create virtual assistants that provide personalized services. A mobile app developer can use Artificial Intelligence in Mobile Apps in many ways to optimize user experience, improve engagement and increase conversion rates. This blog will help you know about Artificial Intelligence (AI), its types and its uses. Read on to know more.
What is Artificial Intelligence?
Artificial Intelligence is the ability of a machine to perceive, understand and communicate like a human being. It can be used to automate processes and create virtual assistants that provide personalized services. A mobile app developer can use AI in many ways to optimize user experience, improve engagement and increase conversion rates. AI is already being used in many industries including healthcare, financial services, e-commerce, and transportation. AI can help businesses with productivity, efficiency, and cost savings, but it can also pose ethical issues that need attention.
Types of AI
- Machine Learning – Computer scientists use artificial intelligence to automate and improve processes using large sets of data. This process is called machine learning.
- Narrow AI – This is also known as specialized AI. It is used to tackle specific tasks and make decisions.
- Cognitive AI – This is an advanced type of AI that is capable of human-like learning, reasoning, problem-solving, and planning.
- Autonomous AI – This is the AI that enables machines to make decisions without human input.
- Visual AI – This is the application of AI in creating visuals like natural-looking text and graphics.
- Sentiment AI – This is an algorithm that can detect the emotions of a person while reading your content.
Natural Language Processing
Natural Language is the process of converting information into a format that can be understood by computers. This can include a wide range of text-based data, including speech, images, and other types of data. Natural Language Processing is the use of AI to process text, create analysis, or generate results.
For example, a mobile app may be able to identify what a user is saying by analyzing a sentence, or understand if an image contains text that can be processed. Some ML capabilities may be trained on data collected through an app, or a large set of training data may be made available to other apps so ML can be ‘scraped’.
Artificial Intelligence can also be used to analyse and recognise images. This can include recognising specific people, places, or items, as well as identifying events or activities. The AI process can be automated, so a person doesn’t have to spend time manually tagging images, or the app can learn from images as they’re being tagged. This can help create a more seamless experience for the user, who doesn’t have to spend time tagging images manually.
Some apps use AI to automate tagging. For example, when a user uploads a photo, the app can automatically categorise the image and tag it appropriately. AI can also be used to improve the tagging experience by tagging images in a more helpful way. For example, an image of an unknown product might be tagged with ‘Product’ or ‘Food’, helping other users and making research easier.
Voice Recognition and Speech Synthesis
Natural Language Processing also allows voice recognition and speech synthesis, which can be helpful for interacting with the app. For example, a voice assistant can reply to a user’s enquiry or read them information, with an option to pick up the communication and reply verbally if preferred. The app can also ‘read’ notifications to the user and provide information, with options for picking up the communication and replying with a verbal response if preferred.
AI can also be used for voice transcription, meaning the app can read a message and generate an audio file that can be sent to others. The app can also generate text-to-speech for information, like reading notifications aloud. Apps can improve the functionality of voice assistants by enabling voice search from within the app. This can be done by setting up an API or voice recognition service that allows the app to access information in the app.
Artificial Intelligence can also be used to recognise objects in images and video. This can include recognising specific people, places, or items, as well as identifying events or activities. For example, a retail app can recognise products being displayed on the screen and automatically categorise the product so it can be added to the shopping cart. The AI can also recognise different styles of products, so an app can provide notifications with options for picking up the communication and replying with a verbal response if preferred.
Another example is a fitness app that recognises different people and recognises their activity or their fitness goal, like a goal of exercising every day or exercising every other day. AI can also be used to improve user experience by trying to recognise the user by their face, so the app doesn’t have to prompt for their name every time they log in.
Smart Reply and Prediction
Natural Language Processing also lets apps generate intelligent replies, like smart replies and predictions. These let the app provide quick replies or suggested information to the user, helping improve the user experience. For example, a shopping app can let the user select a style or colour for a product and provide a smart reply that says ‘Shipping starts from USD$5’, helping save the user time.
Another example is a calendar app that can provide a smart prediction for events like ‘Free time on March 26’. These types of capabilities can also help an app provide a better user experience and help the app be more helpful, especially for users who may not be tech-savvy.
Benefits of using AI in mobile apps
- Improve Conversion Rates – By using AI, you can increase engagement and improve conversion rates by making your app more personalized.
- Optimize workflow – AI can help you optimize the workflow for your team by automating processes and identifying bottlenecks in the workflow.
- Ensure Compliance – AI can help with compliance by monitoring user behaviour and identifying possible illegal actions.
- Reduce Costs – AI can help with cutting costs by automating processes and reducing staff costs.
- Increase Customer Happiness – AI can be used to provide useful services that improve customer happiness and satisfaction.
- Create More Valuable Content – AI can be used to create more valuable content that businesses can monetize through advertising.
AI can be a game changer in the app industry. It can help you create engaging experiences for your users and automate processes to save time and money. You can also use AI to create more valuable content with the help of machine learning. With AI, you can improve the way you deliver value to your customers, increase happiness, reduce costs, and more.
It’s important to choose the best AI platform for your business so that you can reap the maximum benefits from this technology. There are many AI solutions available in the market. You can also develop an app with AI functionality within it. It’s best to choose an AI solution that is compatible with your app. You can also use Natural Language Processing (NLP) or Artificial Neural Networks (ANN) to implement AI functionality.