Artificial intelligence (AI) has garnered a great deal of attention across multiple industries in recent years. According to research from Tractica, the global AI software market is expected to grow from 9.5 billion USD to 118.6 billion USD by 2025. Tech giants such as Amazon and Google have shown interest and made considerable investments in AI. This article explores how this potentially game-changing technology can benefit the mobile app development industry.
AI integration in mobile phones that helps users tackle simple daily tasks is helping smartphone sales explode. AI, however, provides far greater potential than digital assistants. A software solution company could use AI in a variety of ways to improve user satisfaction.
AI, in a nutshell, is a system that is able to analyze, emulate, and repeat intelligent tasks or take automated decisions. These tasks typically require human cognition where factors such as situational awareness, environmental analysis, and reasoning are required to perform the task successfully. Machine learning and automation provide endless possibilities for the tech industry as a whole and within the context of mobile, it can be an extremely useful tool to provide value for users.
Highly Personalized App Experiences
The rapid expansion of the technology has given users a highly personalized mobile experience. Commercial applications collect and analyze customer data to provide recommendations, for instance, the Starbucks app analyzes your purchases and prompts the automated order of your favorite morning cup of coffee. This is made possible by leveraging AI and big data technologies.
Chatbots equipped with natural language processing (NLP) are able to ask questions from human users and provide product or service recommendations. This functionality could be useful for e-commerce apps for instance. Smartphone manufacturers are leveraging AI – Apple, for instance, equips its A12 and A13 bionic chips with neural engines that consider time, location, and hardware usage. Developing applications that take advantage of these features can give users a highly personalized experience.
Amazon is setting the benchmark when it comes to voice-controlled assistants with Alexa. The product provides a voice interface with great cross-device and appliance compatibility. Voice interfaces facilitate the seamless interaction between users & applications with natural language. Apart from third-party integration, Amazon is forming strategic partnerships in an attempt to be a central part of users’ day-to-day lives. From smart home devices to cars, in an effort to be everywhere the user goes, the company recently unveiled the Amazon Skill Activation API that allows mobile app developers to easily extend app functionality to Alexa skills. This means that developers could give users the ability to give Alexa commands through their smartphones and at the same time, take advantage of the user preferences stored on their Amazon accounts.
Online retailers like Amazon have been successful with AI product sales. Shifting user demand with great emphasis on a highly personalized experience makes AI in mobile development a new frontier for enterprise investment. AI algorithms could be integrated strategically to facilitate deep engagement, up-selling, and product suggestions. Businesses can utilize data collected from applications to strategically improve the overall user experience. AI algorithms could be used to comb through this data to find trends that aid decision making. Further, marketing teams could analyze the data to create context-rich opportunities to engage users in ways that weren’t previously possible. The technology provides benefits to all segments of the enterprise from finance and management to sales and marketing.
The growth of AI provides a bevy of mobile app development possibilities. The technology has grown by leaps and bounds in recent years with immense potential for further advancement in the years to come. Users demand applications with seamless experiences that could be enhanced with AI algorithms. The technology can potentially cause a paradigm shift in the way users perform intelligent interactions with mobile apps. Security is another area where AI could be utilized. Machine learning can be vital in assessing patterns of attacks or behavioral analysis could be used to protect applications from exploits or vulnerabilities. AI plays a vital role in cybersecurity and it could only be a matter of a few years before this nascent concept is applied in mobile application security.