10 pros and cons for mobile app development using AI
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Artificial intelligence has been a topic of speculation for nearly decades now. One can consider it almost a staple of popular science fiction as well as hard Sci-Fi. Turns out people like William Gibson were not spinning impossible fantasies in the air when they created examples of AI in The Neuromancer Trilogy. Artificial intelligence (AI) is very much a reality and a major consideration for industry leaders across the board.
In particular, there have been some serious discussions on the incorporatio AI into mobile application development. This seems like an obvious choice since apps run the life of smartphone users. Since every user expects apps to be infused with the most progressive technologies, it is no surprise that AI would find itself on the drawing board.
However, like anything else, pros and cons exist when it comes to bringing AI into the realm of mobile app development. Knowing them can be integral to making a decision central to the nature and purpose of the finished app.
Pros
Greater productivity: Artificially intelligent machines do not get tired. During mobile application development, AI-powered machines can be programmed to perform complicated and tedious tasks. Careful and layered automation can reduce the workload on human developers. It also takes away any delays or suspension in the development process, increasing productivity and ensuring that even short deadlines are met.
Less error: If programmed optimally, AI can significantly reduce the occurrence of errors in mobile application development. Humans are prone to exhaustion and error on account of their very nature. However, AI would work on algorithms that would not have room for error. Exhaustion would also not have an effect on the quality of work.
Novelty: AI is still very much the stuff of fantasy and science. Users are yet to encounter artificial intelligence in their daily lives. Therefore, any mobile app that uses AI will have the advantage of offering something entirely new and extremely enticing. This will naturally draw users to the mobile app.
Improved performance: An app's most potent USP, outside of the product it offers, is the quality of its user experience. AI can certainly go a long way in making this experience more engaging and personalized. Making product selections and recommendations based on the user's preferences as well as anticipating users' needs and wants is much easier with AI capabilities. This creates a more satisfying and well-rounded user experience.
Cons
Difficult to implement: Given the fact that AI is an extremely new technology, especially, in the realm of mobile development, it is difficult to find developers who would be skilled in its functionalities. Programming a mobile app with AI capacities can be difficult for developers not familiar with the concept and practicalities of this technology.
Quality conce
s: Successfully integrated AI requires a robust interface and well-crafted parallel technology such as a predictive analytics engine and a string natural language processing (NLP) feature. These require substantial time, resources and money which all mobile application development services
May not be able to afford. Badly programmed AI can do more harm than good. An app with glitchy AI will turn users off, damaging the user's perception of the app and the company behind it. There is a very little point in incorporating new technology if it does not enhance user experience.
Lack of the human element:
Removing human intervention from any aspect of mobile application development will take away the unique personality an app must embody to be a hit. Users like knowing that the app the feedback they are offering is being examined closely and implemented accordingly. A machine, no matter how intelligent comes with an element of depersonalization that will eventually have a clinical, distancing effect on the user experience.
Article author
About the Author
I am the fellow writer at HokuApps one of the leading Mobile application development company I would like to write in-depth guides and case studies that teach users to guide about mobile application development to grow and scale there business.
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