Mobile app development is revolutionizing our day-to-day lives turning impossible into reality. While AI technology promises to benefit productivity, efficiency, personalization, automation, and other business concerns.
Artificial Intelligence in Mobile Apps
Today, many businesses are making huge investments into AI technology but this technology has yet to experience large-scale commercial support. For AI revolutions, mobile applications are one of the most suitable areas, but businesses still need to phase many potential and technology challenges.
Nowadays, a lot of enterprises feel suspicious about adopting AI (Artificial intelligence) in their mobile apps development or future business model. Here we are going to discuss some important reasons behind this:
Lack of understanding about AI:
The Artificial Intelligence framework becomes clouded when applications interlace different technologies to address particular problems. With each phase of development, the definition of machine intelligence changes and it become difficult for people to understand. Therefore, some of the businesses cannot fully understand how to acquire an exclusive AI model. (contd.: Artificial Intelligence in Mobile Apps)
The Narrative Science uncover the lack of understanding about AI application. According to the same survey, only 38% of respondents are currently using AI in their organizations. Many organizations are using artificial intelligence even without realizing it.
Cost consumed in integrating AI in mobile apps:
AI has many advantages for mobile app development organizations as it has a capability to perform and automate different tasks efficiently. On the other hand, one of the major drawbacks of using artificially intelligent machines is the cost involved in it.
That is the reason why most of the mobile app development companies are not showing their interest in adopting artificial intelligence as they are aware of how much cost & efforts consumed in the process of integrating AI in mobile apps. AI-powered mobile apps required a higher budget as compared to other mobile apps.
And, companies have to implement regular updates according to changing technology trends, policies, and business requirements which cost additional charges.
Breakdown & recovery challenges:
With machine learning, it is difficult to meet the demands and expectations every day because it requires a lot of research work. When there is an instant breakdown happen in the system, AI-enabled machines require more attention and careful procedures and actions that may tire the operations and monitoring assistants.
Artificial intelligence based system maintenance and codes recovery need great practices, resources which would have resulted in the loss of productivity. This is one of the major challenges which businesses need to face usually when integrating AI technology into mobile apps. (contd.: Artificial Intelligence in Mobile Apps)
Expenditure on more time & resources:
Implementation of artificial intelligence requires more time and human resources to develop the intelligent interface, natural language processing, predictive analytics automation, etc. Integration of these technologies is time consuming and tricky process. AI-powered apps require more configuration settings to process incoming data.
If you have lack of time, financial support and essential human resource then you should create a software or app that does not leverage AI inefficient and desirable manner. Mobile app developers also trust that the idea of eliminating advanced features sounds better than including their underdeveloped or partially functional version.
Uninventive & mechanical:
Mobile app development industry is highly demanded and require creative and quality work to produce highly effective products. While artificial intelligence machines are low on imagination and innovation. Only humans can be inventive and deal with elements like layouts, graphics, aesthetics, and many creative ideas related to apps design and development.
Machine learning is programmed and completely mechanical when it comes to making sensible decisions based on the ongoing crisis. Artificial intelligence may fail in many critical situations cannot provide expected results. (contd.: Artificial Intelligence in Mobile Apps)
Still struggling in the marketing sphere
Even with so much admiration & enthusiasm brought around the discussion of AI-powered applications and machine learning are still struggling to meet the desired expectations of various business verticals.
The concept of artificial intelligence getting integrated into mobile apps is still not fully understood or trusted by online brands who believe conventional user interactions and readymade analytics are the only reliable way by far to address imminent customer requirements. We can say that AI technology is still lacking to serve fully for certain group of business ventures.
AI technology is inevitable for businesses working in the digital world to strengthen their online presence. Digitally sound enterprises should think about the utilization of AI-driven business models effectively to take the full advantages of this technology.
Mobile app development organizations who are going to adopt artificial intelligence to power their mobile apps should clearly determine a way to test, deploy, and derive value from AI technology by integrating it into their business model.
Artificial Intelligence in Mobile Apps
- Know Why Enterprise Do Not Favor AI In Mobile Apps? - October 11, 2018