And the latest buzz in the business world is AI.

With the popularity of ChatGPT, Bard, DALL-E, DeepMind, etc. Artificial Intelligence has helped businesses upscale themselves in the market.

From small-scale startups to huge enterprises, AI has spared no one. 

Looking at the operability and presence of the technology in the market, AI is the need of the hour.

Partner with a mobile app development firm that can implement AI for business mobile apps and help you be ahead of your competition.  

AI for Business Mobile App Development Is the Need of the Hour

Artificial Intelligence for mobile applications is no more a perk or added advantage, in the era of cut-throat competition, businesses are looking for innovative and unique products that reflect their consideration for users’ problems and offer amazing solutions. AI since its inception has been a major part of the business world. We discuss here why we believe

Here are some of the common yet effective ways in which developers use AI for business mobile app development. 

Recommended Read: Use of AI & ML Brings Future to the Present

Conversation AI: Your Customer Support System 

Conversation 1:

Hello!

This is “ABC.” How can I assist you?

Conversation 2:

Hi, this is ABC!

Hope you’re having an amazing day. What are you looking for? 

Conversation 2 sounds human and connects with users at a level much better than the bots. It offers a much more personalized experience. Users feel more comfortable sharing their concerns and problems with a human, with whom they expect a solution.

With traditional bots, the problem was they would respond only to queries that are similar to the ones in their database. 

Contrary to this, smart AI-based chatbots have a lot more to offer. They can respond to any query depending on the past conversations and data they have gathered. Over the last couple of years, the market size of Chatbot development and implementation has drastically increased. Many businesses have now updated their apps and websites with AI-powered chatbots to increase user experience. And many others are partnering with AI chatbot development companies to upgrade their existing chat support systems.  

CTA-4

Voice Recognition: Instruct Your Device to Accomplish the Tasks

The realm of Android and iOS App Development witnessed a new horizon in the form of voice recognition technology. With the advent of Apple’s Siri, Artificial Intelligence and Machine Learning have made it possible for users to interact with their devices by simply voice commands. 

It also works with smart home assistants, turns speech into text, and whatnot. Smart voice recognition software helps users interact with their devices better. 

  • Google Assistant

When talking about advanced technology, why not start with the tech giant that runs the world? Google. We are quite familiar with Google’s virtual assistant. It utilizes AI algorithms to understand and respond to voice commands, set reminders, answer questions, and perform tasks.

The voice recognition system is now the most common way to use AI for business mobile app development. 

Image and Video Recognition: Explore Everything You Can See 

Life is so easy these days!

If you want something,  simply click a picture and Google it. 

With image and video recognition technologies finding exactly what you are looking for has become a tap’s task.

It isn’t just e-commerce solution providers who use the technology, it is of greater utility in the healthcare industry. Image and video recognition allows your business app to help users identify and categorize objects, scenes, and even people. You can change your look, edit your pictures in real time, and experiment with various backgrounds and filters with Image Recognition technology. 

Virtual hair color applications and hair color try on apps use image recognition algorithms to give your real-time picture the look you want. 

With the use of advanced Artificial Intelligence and Machine Learning based algorithms, image, and video recognition let healthcare professionals analyze and interpret valuable information leading to efficient and accurate medical interventions.

  • Prisma

The photo editor app is a great example of image recognition where the user can use AI to edit their photos and transform them into artwork using various artistic styles, creating visually appealing and unique images.

  • Snapchat

Another application employs image recognition to add filters and lenses to add augmented reality effects to photos and videos that help users in beautifying their pictures and sharing it with their friends. 

  • Adobe Photoshop Camera

Adobe uses AI algorithms to apply artistic and creative filters to photos in real-time, enhancing images with interesting and impressive effects.

  • Pinterest

Another application uses AI’s algorithm to enhance visual search capabilities and allow users to search for something interesting and discover relevant content. 

Emotional Recognition: Interact with Your Device Like Humans 

With Artificial Intelligence being more human than humans, it is important that it can identify and comprehend the emotions that are expressed and communicated by humans through various means. 

Some of the most common ways that humans use to express themselves are facial expressions, vocal intonations, body language, and written text. Android or iOS app developers make sure to develop algorithms where integrated AI and ML solutions can identify and analyze these expressions.  

This field lies at the intersection of psychology, artificial intelligence, and computer science. The goal of emotional recognition is to develop technologies that can accurately detect and interpret human emotions, enabling better communication and interaction between humans and machines. The best use of the technology these days is in AI boyfriend generator apps, that communicate with the users in a human way. 

Gesture Control: Contactless Controls for Applications 

If you keep your phone upside down your phone would go mute. You can use your palm to get clicked. Pinch your image to zoom in or zoom out the images. It is also an example of gesture control to operate a device.   

This we can consider one of the most common uses of artificial intelligence in mobile app development and can help you to understand the basic idea of the same. 

Common examples of Gesture Control in mobile applications are: 

  • Swipe Gestures
  • Pinch and Spread Gestures
  • Tap Gestures
  • Shake Gesture
  • Rotation Gestures
  • Gesture Shortcuts on the Home Screen
  • Camera Gestures:
  • Navigation Gestures
  • Voice and Motion Gestures

We have integrated various gesture-based commands with the solutions that we deliver. AI for business mobile app development offers a wide landscape to experiment with innovation and creativity within the technology limits. 

Predictive Analytics in Mobile Applications 

As we talk about Artificial Intelligence, predictive analytics in mobile application development involves using data analysis techniques and algorithms to make predictions about future events or user behavior based on historical and real-time data collected from the mobile app. This enables developers and businesses to anticipate user needs, optimize app performance, and provide personalized experiences. 

  • Data Collection and Storage
  • Data Preprocessing
  • Feature Engineering
  • Model Development
  • Real-time Data Integration
  • Predictive Insights and Recommendations

Recommended Read: Predictive Analytics: How Will It Change Your Business?

  • Amazon (Shopping)

We all love to use Amazon and the way it shares recommendations with us makes it our favorite. The application makes the best use of predictive analytics with browsing history, predicts consumer behavior, and optimizes inventory management. One need not update their likings and choices all the time. Amazon knows it all with your past searches and purchases. 

  • Netflix (OTT Platform)

Based on what you mostly watch, Netflix recommends series and movies that you love. Thus, there are chances after binge-watching one series you may start with the other one. These personalized recommendations make it quite interesting for the users to interact with the application and increase their watch time. 

Smart Move!

  • Instagram Reels (Short Video)

Who doesn’t spend their time scrolling through Instagram Reels?

You like or save a reel and then there is an array of similar reels to keep you engaged. This is the perfect example of how to engage your users by using AI for business mobile app development. 

mobile app development

Augmented Reality: Offer Immersive Experience

One technology builds up the other. We have witnessed the success of AR and VR in various industries. With games like Pokemon Go and others, AR has upscaled the use of mobile application development in general. People now expect immersive and realistic experiences from the applications they interact with. 

Technology has made a huge impact on two industries more than others. One is the gaming industry, where people can play against each other, and be a part of the game like they are a character there. 

The other is the healthcare industry. Healthcare practitioners and surgeons can now perform complicated surgeries first with the AR-created 3d model and then in real. This helps them understand the complications and other precautions that they should consider.  

Recommended Read: Evolving Mobile Experiences by Using AR and AI

Fraud Detection and Security: Biometric Logins for Higher Safety Standard  

With digital wallet applications gaining popularity, your phone now is your wallet too. It has all the details from your bank account to your insurance to your personal details. The pattern locks and pin locks were great and provided a better level of security than no locks, but now with biometric locks where your fingerprint or your retina is the key to your phone, the security has increased to a whole new level. 

The Android and iPhone mobile app development companies associated with us take into account the fact that AI for business mobile app development is a growing market. To make sure our clients get the best solutions, we stick to a futuristic approach. 

Natural Language Processing: Analyze What Others Say

One of the biggest advantages of using Artificial Intelligence for Business mobile development is being able to process and analyze what is being said. Integrating the NLP algorithm with your business application can help you identify comments and reviews and derive insightful feedback from them. Also, your users can make use of language translators and other useful tools to make the best of the advanced technology!

  • Siri

Apple used Artificial Intelligence in terms of Natural Language Processing to execute the tasks such as sending messages, making calls, setting alarms, chatting with others, etc.

We all love talking to Siri despite her being a robot. 

Who thought Artificial Intelligence was around us all the time? 

Woah…

Every aspect of your business mobile application that you think you can’t go without is mostly Artificial Intelligence. Technology is so seeped into our daily lives at minute levels that we now only focus on the big picture like Generative AI ignoring its other utilities. 

Well, the tech giants understand how even the smallest use of technology can give users an unmatched experience and integrate the best of AI into their products. 

Wrapping It Up!

No matter what your business domain and size, if you’re looking for a partner who can help you with AI for business mobile development, our experts are here. You need to share the details with us and we’ll help you to build a solution from scratch. With a global clientele our team has been exposed to the best of the best in the industry and can bring to the table solutions that are unmatched in the industry.

mobile app development
THE AUTHOR
Technical Writer
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Kiara Michael is a tech enthusiast, blogger, and writer with an insatiable curiosity for all things related to technology. With over a decade of experience in the tech industry, she has become a trusted voice in the digital landscape, offering valuable insights and analysis on the latest trends, innovations, and breakthroughs.

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