Artificial Intelligence (AI) has made quite a buzz in the technological field. It is a system that has the ability to mimic intelligent behaviour and make independent decisions based on the data gathered. The tasks that AI performs ideally should require human intelligence, such as situational or environmental analysis, problem-solving, reasoning, learning, and comprehending languages. Personal assistants such as Google Assistant and Siri are examples of AI mobile applications. As per the International Data Corporation, the global spending on AI systems will grow from $35.8 billion in 2019 to $79.2 billion in 2022.
Reference Source: https://www.idc.com/getdoc.jsp?containerId=prUS44911419
Further, AI technology when merged with mobile applications could create a world of new possibilities. AI allows applications to procure more revenue for many businesses. A more intuitive and responsive a mobile application is, the personal user experience is more seamless and profound. AI when used as a strategy becomes a business advantage – as per studies 72% of the leaders cite it as advantage.
Reference Source: https://cmo.adobe.com/articles/2017/5/15-mind-blowing-stats-about-emerging-technology-tlp-ptr.html#gs.ymtlsv
Impact on Business – Artificial Intelligence on Mobile Application Development
AI-powered solutions create an impact on mobile app development.
Delivering User-Centric Expectations
AI gathers data which is user specific which in turn helps the user. It becomes convenient for the user because it shows products that the user has searched. For instance, if the AI gathers that the learner has watched Narcos on Netflix, then the user will get Narcos-based merchandise adverts. AI remembers!
AI in mobile applications makes it easier for the developers to perform and finish the development part easily in the organisations.
Mobile applications like Amazon and eBay are able to predict the customer’s needs. AI helps the user’s needs by recording their data and driving user behavior to alter the mobile features.
Artificial Intelligence Algorithms
Major tech companies are integrating AI algorithms into various products. This helps businesses to deeply engage with the users, provide an incentive-based approach to their services, for example, Amazon’s Prime delivery service that pairs well when using the Echo. By incorporating AI in mobile applications, businesses can leverage the data apps are collecting via point-of-sale machines, online traffic, mobile devices, and more to strategically improve the user experience.
Using Hardware Technology for AI Applications
As we know, smartphones are equipped with certain features such as GPS tracking, location finder, microphone, camera, voice notes, etc. With the user’s permission, combining the data collected from all these features with AI technology makes apps more relevant and personalized. For instance, Apple revealed that the iPhone XS, XS Max and XR will include an A12 Bionic chip featuring a neural engine built to utilize AI hardware in previously impossible ways.
Creating Seamless User Experience
Another way in which AI is used is when the user himself/herself commands the device to store or find data which results in the app engagement and the increase in ROI. There are three easy ways in which the user experience can be enhanced with mobile AI.
The first one is personalization of data – the user has their own personal assistant. Based on the user’s past choices, options and preferences, the apps forecast a suggestion which helps the user to make a decision faster.
For example, Starbucks has come up with an AI mobile app called “My Starbucks Barista”. The user just needs to place their order via a voice message, and all he/she needs to do is collect their choice of beverage as soon as they enter Starbucks.
The second is a voice-based search – all the user needs to do is speak out. The AI stores their current data and helps to predict the outcome in the future.
For example, Amazon’s Alexa is more than just a voice recognition device – it has various utility factors such as predictive messaging and context-aware computing. Google Home also excels in predictive and contextual computing and is capable of answering more questions than Alexa-enabled products.
The third is the blend of machine learning and AI. It helps the companies to monitor the markets and measure the growth of a particular company. Machine learning can be enhanced with chat-bot interaction which leaves a lasting impression on the user’s experience. It is enhanced in such a way it knows what customer action will be while interaction at any platform.
For example, Tommy Hilfiger’s chatbot allows users to browse their latest collections or get a behind-the-scenes look at the most recent fashion show. It uses interactive and simple language to reply customer queries and also offers style advise and product recommendations to its users. The bot provides the user with a questionnaire that helps it gather the user’s style and make an outfit suggestion based on the data gathered.
Wrapping It Up
The benefits of building a mobile app with AI technology is undisputed. The growth of AI is opening a whole new side of mobile app possibilities. The combination of machine learning and AI is stirring the market with revolutionary ideas. Developers, businesses, and users are constantly evolving and thinking of ways to have intelligent interactions within mobile applications.
If you wish to develop an AI mobile app to give a boost to your business, you can contact the App Scoop app developers Vancouver Team - https://www.app-scoop.com/contact-us.html