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9 AI Use Cases to Dominate the Mobile Industry in 2021

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Artificial Intelligence has long receded from just being a sci-fi buzzword to becoming an integral part of our lives. It has come to bear an indispensable role in the economy, disrupting businesses worldwide, and more so since becoming a critical component of smartphones and mobile application development. Almost every app a user has today, be it banking, or even taxi booking, has direct roots in AI. These roots are further being strengthened with reduced complexities and costs arising as a result of technology advancement. 

This has nudged businesses to upgrade their digital platforms and apps and equip them with AI-enabled modules and features to improve their CX. In this article, we look at some reasons why AI remains in close ranks with enterprises and consumers alike:

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Top Use Cases of AI Technology  

1. Neural Networks

Neural networks are a direct byproduct of machine learning and remain in use for sales forecasting, voice synthesis, aerospace and automotive research, financial valuations, mortgages, etc., In the military, it is widely used for signal and image recognition. Some trivial everyday activities that use neural networks include:

  • Automated address recognition & email sorting
  • Automated check reader, voice, and signature recognition in banking.
  • Smart symbols and agents in computer games
  • Face detection and photography in digital cameras

2. Studying User Behavior 

Machine learning and natural language processing are combined to obtain a realistic insight on user interaction with the internet based on what they browse. Technology can examine this user behavior to offer personalized ads and content. For instance, Netflix integrates this feature for tracking and collecting user data, and thereafter sends content recommendations to users. 

3. Conversational UI

Conversational UI acts as a communication interface between the machine and the users. It helps exchange inputs and outputs in a human-readable format making communication extremely robust. Typically, finance apps incorporate this technology in order to interact with users via voice and text messaging. It also analyzes balances, payments, spends and offers reliable financial advice to users.

4. Automated Reasoning

This is one of the vital elements of AI technology to incorporate in a mobile app. Uber, for example, uses automated reasoning to fetch the shortest route to the users’ destination. The reasoning module collects location information of cab drivers on similar routes and assigns a suitable driver for the trip.

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5. Automating Repetitive Tasks 

Doing a mechanical task repeatedly diminishes creativity and wastes money, time, and resources. Artificial intelligence can help in these tasks, such as automating inventory fill-up notifications and help enterprises free up time and resources to solve core and real-time issues.

6. Speech Recognition 

AI technology is actively being used for speech recognition via a voice control system. Virtual assistants such as Siri and Cortana decrypt and transform human voice input into a computer-readable format. A number of mobile apps in retail integrate this feature in their apps and empower users to perform functions with voice control such as searching for a product in e-commerce.

7. Chatbots

Chatbots act as front-line sales executives that help solve a number of customer queries. A chatbot interacts with people, to get a feedback form filled or answer inquiries about services or quotes. Tech heavyweights like Apple, Microsoft, and fintech giants like Paytm, etc, feature a chatbot on their official apps.

8. Biometrics Authentication 

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Biometrics helps identify, store, and analyze human behavior and unique physical properties for identification. It can identify the physical features and properties of objects and entities like structure, size, shape, etc. The biometric AI technology can also recognize voice, senses, and gestures. Biometrics is also actively used in marketing and research.

9. Emotion Recognition

AI provides another revolutionary technology that lets a device interface read human expressions and gauge emotions from a face. This emotion recognition technology uses advanced picture processing and audio data for deriving the results. This also allows catching human senses via voice intonation as well as through subtle voice signals. This tech remains the most popular in startups, as it proves to have a lot of future potentials.

Conclusion

Artificial intelligence has consolidated its space in app development. It isn’t going away anytime soon and is here to stay. So, in case you’re planning to develop a web or mobile app, you must get in touch with a digital customer experience solutions provider to equip it with artificial intelligence. It is the most economical and effective way to channel new users, keep them engaged, and retain existing ones with a highly personalized experience.

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