adminMobile artificial intelligence is already revolutionizing the mobile app development game. In 2020, the mobile AI sector crossed the valuation of 2.14 billion dollars, and this number will possibly grow 4.5x by the year 2026. It is quite apparent that mobile artificial intelligence holds a great future so let’s not waste time and know this innovative technology and its use in mobile app development.
What are the benefits offered by Mobile Artificial Intelligence?
Mobile artificial intelligence endeavors to make mobile technology smarter and more functional for users. Amazon’s Alexa Shopping product is a very popular example of mobile Artificial Intelligence. It has reduced countless hours of customer support work for Amazon. At the UX level, it has also brought prominent quality of life improvements to end-users.
It is expected that the most significant growth will likely come from AI virtual assistant technology. The remarkable success of last-generation AI assistants like Alexa and Siri shows the power of the technology.
AI-capable processors in next-gen mobile devices are featured with various intelligent solutions such as language translators, AR and VR enhancement, context-aware AI assistants, and better security attributes.
The fortune of these advanced apps and on-board solutions is highly extensible, and its integration with the third-party mobile application provides developers with a full-fledged AI development ecosystem.
It is also projected that sectors such as smartphones, cameras and imaging, drones, robotics, automotive, and cloud computing also show incredible growth from mobile AI technology.
The government of the United States and other western countries are trying to prohibit restrictions on consumer drone technology; the drone sector will expand steadily in the presence of AI-capable mobile processors.
Next-gen drones offer an amazing home, and enterprise user features like AI-assisted photography, surface mapping, GPS, AI autopilot and navigation, and many more applications.
Eventually, it is impossible to ignore the potential of next-gen AI to reduce numerous human hours using the AI app development pipeline. AI aids programmers in crushing barriers that consume a lot of time and money in processes like porting software across platforms and removing manual error-checking and troubleshooting once done by human testers.
How AI Makes Your App Smarter?
The increasing number of mobile users and change in trend is shifting the demand toward more customized features.
Earlier, UI was managed in a first-party way by app developers; now, many app developers use on-board UI from smartphone manufacturers to offer an interface for their users. These manufacturers include AI-capable processors, smartphones can interpret user behavior and conduct real-time customization of the app interfaces for a better user experience.
Thus we can say that Artificial intelligence fetches remarkable new possibilities for mobile development via machine learning, biometrics, recognition technologies, and voice technologies.
Machine Learning:
Today, many businesses are investing so much money into machine learning development as it can predict and optimize user behavior, leading to upsells and cross-sells.
Machine learning improves a better user experience and ensures users keep returning by delivering appropriate content to drive up total usage hours.
The advanced technology has stirred up the competition in the app market. Machine Learning helps companies keep users engaged and entertained, ultimately improving their rank and rating on google play and other App stores.
Online retailers use ML to create customer profiles based on various data like customer purchases and their relationship with other users, the customer’s behavior on the app or website, and many other contributing factors. Using the data, retailers offer recommended products based on the customer’s interest.
For example, Amazon extensively uses machine learning to connect customers with products they might be interested in buying.
Transport providers like Uber also use this latest technology in their logistics apps to provide drivers with updated information on the road.
ML solutions predict the fasted possible route for drivers to avoid traffic jams.
Recognition Technology:
The addition of recognition supported by Mobile AI has changed the outlook of the entire mobile utilization pattern. Image recognition technology like Google Lens and other similar apps have revolutionized the way of interaction between people and the world. This image recognition app allows users to recognize the specific plant varieties, and OCR powered by ML can change the foreign language into the native language without delay.
Financial institutions are adopting the same technology in their mobile apps to process checks without needing the customer to visit the bank for the same purpose. Pharmacists are employing this tech to scan medical prescriptions and import them into software to know the exact place of the medicine or its availability in the store.
Next-gen mobile AI improves the existing facial recognition technology by using technologies like artificial neural networks to boost the process of detecting human faces.
AI biometrics boost the level of protection of mobile applications ensuring better privacy for storing sensitive data. This feature also increases the use of mobile applications in the sectors like finance, healthcare, government, etc.
Voice Technologies:
Highly advanced text-to-speech technology provided by mobile artificial intelligence provides clear voice functionality generated from text input. Better text-to-speech empowers visually impaired users to navigate apps and websites, changing static text into clear and understandable voiced content.
AI assistant technology uses voice recognition provided by mobile artificial intelligence to converse with the user without any latency. Commands by the users are processed into actions by the virtual assistant, offering a smooth experience.
For instance, our very popular Alexa and Siri of Amazon and Apple, respectively, can execute different user requests.
The Future Transformations
Mobile artificial intelligence is holding a great scope in the coming years. Many industries are embracing technology and facing rapid transition. Integrating mobile processors with AI- friendly features will enhance the AI capabilities of first and third-party applications.
The key technologies contributing to the changes are machine learning, recognition technology, biometrics, and voice technologies. Mobile AI optimizes the process, removes obstacles for users and providers, delivers relevant content, enhances end-user engagement, and improves the development process. AI-integrated mobile apps are more extensible, modular, dynamic, and offer superior performance for developers and users.