Implementation of AI in Mobile App Development

In the world of rapid automation, evolving mobile applications and smarter technology, AI or Artificial Intelligence is a high potential field for exploration and development. Large corporations and leading tech companies are estimating a 200% increased rate of investment in AI technology on a global scale. As international data surveys expect app spending on AI to develop from $35 billion a year to $75 billion a year, it can be easily assumed that more and more companies will see AI integration within this decade.

A large contributing factor that enables technology to access a door into our lives is its ability to create more convenient tangible user experiences. This is why it is noticeable how human beings are becoming more and more reliant on technological advancements. It has become a means to enhance our own evolution. 

AI innovation is the next ladder that will boost the smartphone revolution even further into the future. It has already begun to tailor itself to our daily activities like social interaction, running errands, multitasking and organization, and of course, business strategy. In the case of growing business relations and fulfilling user expectations, the influence of AI can no longer be overlooked when it comes to making an impact in the world of business. We can easily assume that AI is pushing itself to become the next greatest breakthrough for the world!

How is AI impacting the smartphone business world?

The flourishing world of Android app development has taken the brunt of the impact of the ongoing AI invasion. Keeping in mind that the myth of the ‘Terminator’ and machines taking over the world may still be far off into the future, for now, we can rejoice to know that AI has brought in some outstanding transformations into our lives. It has seeped its way into the functioning of crucial sectors like healthcare, finance, education, and so on. It creates impeccable user experiences for individuals that bring a high degree of convenience to our daily lives. 

Imagine having a virtual assistant taking care of all your appointments, managing clients and people, planning your day for you without you having to move a muscle. The primary reason why Artificial Intelligence has made such an impact on our lives is because of people’s demand for a personalized experience that gives individuals a more tailored approach to things. For the past decade, mobile applications have been the means to achieving this level of personalization in our lives and due to the recent AI unification, the possibilities have been amplified with increased user engagement. Artificial Intelligence (AI) in conjunction with Machine Learning (ML) has improved the way we are interacting with the world around us. It enables large businesses to automate services and save largely on manual labor investment. What was merely a figment of our imagination in Sci-fi movies is possible today in real life, from traveling, advertising, self-driven cars, and chatbots. Self-learning and enhanced adaptability are evolving every day. 

With enough being said already, let’s delve into what is Artificial Intelligence and how it is beneficial to Mobile App Development. 

The Golden Question: What are Artificial Intelligence and its different types? 

In terms of computer science, Artificial Intelligence is the ability of machines or programs to act and respond to commands in a more human-like manner. It enables them to imitate intelligent behavior and compute autonomous decisions by learning from past interactions and experiences. This basically means in layman’s terms, computers are integrated with the ability to perform typical human tasks which involve learning and problem-solving, environmental and situational analysis, as well as translating or comprehending complex languages. 

With every passing day, the AI clock ticks away on its path of becoming self-aware but for now, that precedence is still a distant dream. For now, the following are some of the types of AI’s that we are able to conceptualize as of now;

1. Reactive AI: As the name itself implies, these AIs are able to analyze and even memorize, actions and their plausible reactions. Based on the action, this AI comes up with a combination of possible reactions and initiates the best out of the lot. For example, Deep Blue is a Reactive AI devised by the IBM chess program, renowned for defeating the chess champion Garry Kasparov back in the 1990s. It basically, applies the best strategic move that results from analyzing its own and its opponent’s moves. Another such Reactive AI that can memories its past actions is Google’s AlphaGO.
2. Limited Memory AI: An improvement on Reactive AIs, limited memory AIs do the same but also harbors the ability to store past memory and take decisions based on previous actions. You will see these types of AIs more prevalent in self-driven cars, as they use past observations to predict the best routes when changing car lanes. Then again, the past memory stored is not unlimited. 
3. Mind Theory AI: This type of AI is still quite new in its concept and is still very much under development. It basically would be able to comprehend an individual’s beliefs, intentions, desires, and factors that affect one’s decision. Such a type of AI would first understand your motives and behavior before taking any decision. 
4. Self-Aware AI: This type of AI is the one most dreaded by science fiction writers. This type of AI is aware of its own being and its surroundings, and can even develop emotions. The renowned scientist Stephen Hawking expresses his fears that AI would one day overrule the need for humans in any industry and even take life-changing decisions for the human race. 

Artificial Intelligence is increasingly expanding its importance in our lives and this is because this technology has the means to increase output while significantly decreasing input. Not only will it eliminate the need for humans to do any tedious jobs but also increase efficiency ten times over. Farming would involve robots cultivating lands while the germination of the fields can be watched over by drones. Similar progress can be seen being made in the fields of health care and education, where advanced automation technology can take over complex tasks of carrying out operation procedures or having intelligent AI convening over classes and examinations. 

According to the McKinsey Global Institute, we can broadly separate today’s AI tech into five different categories; Natural Language, Machine Vision, Virtual Assistant, Robotic Automation, and Advanced Machine Learning. The last one having the most commercial application up to date having its deepest roots hoked into the mobile app development industry. 

Examples of AI Technology that are Applicable in Real fields:

• Automation: Coding can be a very tiring and extremely long process, involving hundreds of strands of code being written over and over again by programmers, which can become quite laborious and time-consuming. With the help of AI, formulating code can become easier as you will have AIs setting up the infrastructure for coders to work upon. An example of such an AI would be Bitbar’s new test bot that can test out and simulate different mobile apps. It can be used to assist developers by testing out mobile apps in order to ensure quality control. 
• Machine Vision: Our senses, especially our gift of sight is unique to human beings. It helps us perceive and assess visual information. With the help of Machine Vision AI, machines can now be embedded with the capability to grasp and evaluate visual info, to see and react to things just like human beings. Sophia is an AI humanoid designed to see, listen, and interact with facial reactions. Sophia has integrated Machine Vision to understand her surroundings better. 
• Machine Learning: Machine Learning owes its growing popularity to its ability to enable our technology to write its own programs from previous experiences. An example of such an AI could be a robot that analyses previous data from the stock market and predict which stocks have a higher chance of being successful.
• Virtual Assistant: AI-powered programming that interacts with users in a human-like manner by also learning from previous experiences. The idea behind this is to make the user experience more personal when carrying out tasks. AI integrated chatbots like Bold360 and LivePerson are popular for this same reason. 
• Voice Recognition: Mobile app automation has gone a step ahead with voice recognition technology. You can use this feature in your smartphone to unlock your device and even give commands. Apple can be considered a pioneer in this field with its Siri-integrated iPhones. Siri has the capability to recognize your voice and take personalized steps which heavily improves user experience. 

Presently, these are some of the applicable AI technology that has made their presence felt in the mobile app market today. Even so, it is only the tip of the iceberg as more investment is making its way into AI.

Impact of Mobile AI’s on Businesses?

Advancement in mobile technology, such as the introduction of faster broadband like 4G and smartphones with higher processing capabilities has paved the way for retail giants like Amazon to provide the next level of services to their users. This has created a significant upward shift to consumer demands as they now have a taste of the convenience that AI-integrated technology provides. It can be said that AI is creating a new digital frontier for mobile apps to conquer. Tech companies are now investing major resources into AI algorithm incorporation as it gives them the incentive to make their products and services, even more, secure and efficient. This will allow these businesses to engage a wider range of users through a combination of brands similar to Amazon Prime Delivery and Echo. With more and more apps integrating AI, these businesses can leverage the data collected through point-of-sale and monitoring online traffic to tactically develop user experience by creating more crafty and meaningful opportunities for engagement. 

The rise in opportunities for App Development

The CTO of Clearbridge Mobile, Sajay Malhotra has stated that with the upcoming set of applications that will be rolled out in the mobile app industry, their performance will become even more intuitive and interactive. This will make the user experience personalized and even more so customizable. We already know how chatbot applications for brands like Tommy Hilfiger enable users to gain behind the scene insight into their latest and upcoming collections. These chatbots also utilize natural language texting to respond to customers, while also offering style advice and purchase recommendations. 

The smartphones of today are using GPS tracking, device microphone and camera features to make them the perfect platform for AI implementation.  Apple’s upcoming iPhones – XS, XS Max, and A12 feature an AI bionic chip that harbors a neural engine that utilizes AI tech previously known to be impossible. 

When it comes to the online voice assistant market, Amazon Alexa has the lead. As proposed by Sanjay Malhotra, smart home appliances will “reduce the number of pain points users have”. Voice interfacing will enhance seamless user interaction making them even more intuitive in nature using only natural language. Features like predictive texting and context-aware computing will only be a part of the game as such. For now, Alexa is pushing hard at their AI game, by bringing them into the user’s homes and giving them convenient voice-operated access to a wide array of products and information. Ford is now tying up with Alexa to enable their vehicles with the latest SYNC 3 technology to allow users to do things like checking the weather, add items to their shopping list, all while not taking their eyes off the road. 

Conclusion

Artificial Intelligence is pioneering a whole new class of technology with limitless possibilities. It has been highly influential in the latest app development innovations like Apple’s Siri and Amazon Alexa with an even more increased potential to improve themselves in the near future. Machine Learning is no longer an infant concept. It has made available several new advancements in AI causing developers to adopt a new revolutionary way of thinking. 

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