How AI will change the mobile app development

If mobility and the app ecosystem have penetrated deeper into our lives and transformed us beyond recognition, then the emergence of (AI) is equally having a big impact on our interactions with the gadgets as well as the mobile apps. AI is far from just a new ready to use technology with a single-faceted impact. AI is multifaceted with wide-ranging impacts. From advanced machine learning, deep learning to natural language processing, and advanced algorithms, AI works at different levels, sometimes for building the new and unique app and sometimes just to help user interaction with those apps.

Thanks to AI self-learning apps are proliferating in all directions. These days, most mobile apps in spite of their complex structure and loads of content remain capable to engage audience quickly by allowing users to learn intuitively. The impact of AI on mobile app development has just started to take shape, and already we understood how it could help apps offer personalized attributes thanks to AI.

Let us have a look at the various aspects that explain how AI will change the mobile app development process.

AI has been particularly successful for many apps in respect of driving user engagement and business growth. Just a stagnant algorithm always is not effective to engage users based on the user behavior. In this respect, AI helps engaging users based on the different user and response patterns. How AI really boosts user interaction and engagement by fitting the app itself to the user demands? Well, here are a few clues to explain this.

AI-based apps actually draw a lot of user information and just by analyzing this user data and user behavior they fix issues.

Demographic data referring to various layers like the user location, buying pattern, contacts, etc. can deliver lot of useful insights about the user. as well as daily behavior is taken by the AI allows the app to serve user better

AI is also being integrated with modern products. For example, AI-based QR code that quickly connects the respective user data delivers a lot of data-centric insights to utilize.

IoT and smart home devices have been a big push for the mobile apps to penetrate in all walks of life. Thanks to the smart home gadgets, our screen is increasingly getting populated with AI-powered apps. If your AI-powered smart alarm clock learns from your sleeping patterns and accordingly tries to wake up you from the bed, the connected mobile app has to incorporate the same level of AI. Thus smart home gadgets are giving another push for AI integration in our mobile apps.

The recent emergence of AI-powered smart platforms from the mobility companies is another big push for this integration. Apple Siri, Google Assistant, Amazon Alexa and Microsoft Cortana are some of the latest examples of this. Google Assistant integrated into a connected music app, and headphone learns from your listening pattern and accordingly suggest you music tracks that suit you best. over the time learns from your pronunciation and gradually understands your speech to convert it into text.

The demands of personal experiences

Fulfilling demands of personalized experience is the biggest mover for AI technology. Thanks to AI, users now can expect a more personal as well as predictive experience. This really delights users when they just speak up what they want, and a retail coffee shop app places the order for them. Similarly, some food apps went a step further and offered users personalized menu suggestions based on the user intent. Personalised user experience is the new watchword to boost engagement and for this AI is really playing an important role.

Let us have an idea of the various ways such personalization with user experience is being ensured.

Voice recognition: Every personal voice is individually recognized by the app over a period of time and once a voice is registered the app responds to the voice commands as per personal preference.

Machine learning: The app over a period of time learns about the user attributes and behavior in different situations and accordingly responds to the individual user.

Advanced algorithms: Advanced algorithms used in apps helps deciphering the user intents perfectly by analyzing user demographics, inputs and user behavior patterns.

The future impact of AI on businesses

As of now, AI has been quite a success with major retail giants like eBay and Amazon have already proved their potential. As the consumer demands from businesses are increasingly getting multifaceted and multidimensional, personalization remains to be the key to boost engagement and for satisfying individual users with personalized attributes nothing comes as helpful as AI.

Some services like Amazon Prime already introduced AI by allowing Amazon Echo platform to work closely in hand with this logistics and retail service. While Amazon Prime delivery service has just paired with Amazon Echo to ensure better and more personalized user experience, this can be taken as the beginning of a new era of AI-powered logistics and retail delivery. There are many retail stores that can grab the benefits of localization through AI-powered apps.

Why are most businesses so enthusiastic about AI when they consider incorporating smart maneuvers and interfaces is important to push growth? AI which essentially mimics human intelligence by gathering user data and then by deciphering it will continue to create more value with better user experience and fast-paced as well as the intuitive business process. While the demand for adaptability and flexibility runs high to address specific user concerns, AI-based apps are bound to proliferate and prosper.

The overwhelming popularity and rapid growth of artificial intelligence across all fields of businesses and real-life use cases have now become a significant phenomenon. The AI is being used by most businesses in their representative apps to outwit competition, while for many AI is the most gentle way out to achieve traction and engagement in the smartest possible way. While the AI will continue to gain grounds and proliferate, we can expect future AI platforms to consolidate and work in unison for mobile interactions.