Pros & Cons of Artificial Intelligence in Mobile App Development

Are you looking to integrate AI into your mobile development process? If yes, then it’s essential that you understand how AI works for various types of applications. Personal shopping assistant apps, similar to virtual personal shopper apps, allow you to save money and time providing the best prices and several options at a moment’s notice. They include integrated personalized service, awards, bonuses, and gifts, booking and reservation services, ticket purchase, and delivery.

Virtual assistant applications bring everything in your life into one place, including utilities, social media, financial institutions, calendars, and more, reminding you what and when things have to be done. Additionally, they include voice-activated to-do list to make it easy for you to keep track of your schedule.

Virtual manager apps assist in handling daily tasks with savings, ease, convenience, and comfort. In addition to offering vendor service rates and restaurant menus, virtual manager apps aid in managing your utilities among other tasks. These apps are similar to an online consultant.

Pros

1. Finish Tedious Activities Easily

Artificial Intelligence (AI) has been essential in mobile app development due to its ability to carry out and finish tedious tasks that humans would have found to be too dull. AI machines can work for long periods with zero decrease in capacity to be productive through the use of careful and intricate automation. The removal of mundane tasks from human workload creates more time for these apps to take care of more significant tasks.

2. Daily Application

AI is applicable in the daily lives of everyone. Through the use of augmented reality, AI apps in tourism and travel can detect locations much more comfortable. Augmented reality can superimpose images that are computer-generated on the actual worldview of the user, which improves their perception of the environment. AI can also be used for correction of human spelling and predictive writing. When posting photos on social media, AI helps in the identification of the person on the picture and tagging them.

3. Fewer Errors

AI machines are particularly significant in fields that need an extremely high degree of precision and accuracy. An example of such a field includes space exploration. In space exploration, margins for error are not allowed, and any number that has been placed wrongly could destroy the whole process. Hence, AI is vital to assist with the processing of highly complex numbers. Additionally, AI robots are designed to help with space exploration. They are made to withstand the space’s harsh atmosphere. They are acclimatized to the extent that they are not able to be modified, disfigured, or broken down by the hostile atmosphere of the space.

4. Difficult Exploration

There are places on earth that are impossible and difficult for humans to explore. An example of such locations is the ocean floor. The ocean floor has a lot of pressure, and this would crush any human presence there. Intelligent robots can be made with unique material to withstand the water pressure on the ocean’s floor. Intelligent robots can also be utilized for exploration of fuel and other operations of mining. These robots are made to perform complicated tasks without getting tired quickly.

5. Ease of Cross Platform

Not all individuals can be designers or coders. However, cross-platform applications are becoming popular in the programming world. There is the emergence of systems that give room for the creation of mobile apps with little knowledge of the outs and ins of the process. AI has made all these possible through the development of tools that allow individuals to learn the creation of mobile apps with little comprehension of it and by helping people learn the methodologies linked to software.

Cons

1. Lack of Creativity

Mobile application developers have a lot of vision, creativity, imagination, and thought process. This is because only humans can imagine a design and make it real. AI, in spite of its intelligence, has processing power that is limited and bound to programmable algorithms. AI can assist with particular sections of designing blueprints but cannot be creative like the human mind.

2. Loss of Employment

This is a direct danger of AI machines since professionals with average skill-set or those in the learning stage can be replaced because AI can carry out routine first-level tasks. For example, supervision system of firms that develop mobile apps can be made automatic with AI, minimizing the amount of labor required for an assembly line role.

3. Cost

After the lack of creativity and loss of jobs, the cost is another essential factor in determining the feasibility of AI. For firms that develop mobile apps, the cost may be a case-specific factor. Mostly, mobile development solutions that use AI involve a lot of cost during development. AI comprises limited vision and requires regular updates to match outcome that is expected. This increases maintenance and management costs. Therefore, companies with massive scale and ambitious projects have a higher likelihood of leveraging their AI investment more than small businesses.

4. Lack of Adjustment in Experience

Even the smartest AIs lack the judgment calls linked to humans. Many times, businesses require judgment calls from the business owners as opposed to calculations and algorithms. For instance, during the 2014 Sydney shooting in Australia, people called for Uber so that they could escape the shooting. The app hiked the price based on supply and demand economics as opposed to deciding to help those in need.

5. Less Spontaneous and Fairly Naive

Human insight depends on cognitive knowledge process that indispensably involves real-time observation and experience. But, AI machines utilized in the development of mobile apps are different and follow wisdom that is robotically programmed. As opposed to humans, AI stores massive amounts of information but fail to access and analyze the information as humans do. It is not possible for AI machines to change their actions and responses to the evolving needs. It lacks the human touch required to make sensible decisions like judging the efficiencies of two people. Human judgment is better than AI at making firm options based on natural spontaneity and common sense.

6. Challenging Implementation

In spite of the fantastic benefits of AI, its implementation is a difficult task. For a developer of mobile apps, adding and using AI capabilities in several dynamic aspects can be a grueling task. This is because the moving parts of the app need to have perfect coordination and harmony to make sure the user experience is seamless and engaging. During the implementation process, the AI algorithm has to be taught to process, while evaluating and understanding inputs to ensure the final output matches the expectations of the user. Additionally, because AI apps are open to regular learning, a developer has to include the latest trends and change its behavior. These factors make AI complex to implement, but the results will favor your business.

Conclusion

Whether you are a small scale or a large scale business, AI can prove useful to your business. Although not all applications can use AI, ensure your business needs are fully met with AI so that the benefits of AI can outdo the costs.