Artificial Intelligence used to be a cool and futuristic science fiction idea a few years ago. But now the intelligent technology is going main stream with various technologies of AI family finding its way into every distinguished mobile device. A recent study by McKinsey reveals that Google and Baidu are investing over $30 billion on AI research and development, which inspired app development companies to consider AI’s predictive analytics and its basic leadership into their mobile app development.
Development companies are curious about using innovative methods to sophisticate their processes and deliver projects deftly. AI enables speech interpretation, error correction, predictive analysis and visual perception to developers. However, if you are planning to integrate AI to modernize your existing mobile app development model, you must consider the following pros and cons.
Pros and Cons of Artificial Intelligence
Pros
- Ease of Task Management and Completion
Mobile application development is full of tedious jobs where artificial intelligence can make a big difference. Using AI robots and automation to perform mundane tasks, developers can feel less exhausted and reserve a lot of energy which they can use to accomplish other more complex and important operations. Thus, AI offers mobile app developers an immense ease of task completion and relief from excessive workload.
- Enhance efficiency and perfection
Mobile app development process could be an important phase where all the essential strategies and training pertaining to design approach and development ideas are discussed. AI can assist mobile app development professionals in their daily routine tasks, create the general picture of final product and enhance efficiency of developers. AI can help diminish the human errors especially when they require uncompromised exactness and accuracies. Developers can use its predictive structure and revision capability to take care of reviewing the smallest of spelling and coding mistakes.
- Use cases of AI-powered robots
From Medication and Hotel personal assistants to Finance, Banking and Manufacturing, a broad array of industries has already begun to utilize the power and calibre of artificially intelligent machines.
- Medication:
AI’s influence in medication and hospitals is remarkable. Hospitals can leverage smart robots to treat and diagnose the disease along with increasing the awareness of potential side effects. They can even simulate surgery procedure for training and education.
- Hotels:
Hospitality and hotel industry can experience significant sophistication and automation through implementation of AI solutions such as chat-robotic concierge or automated room service and amenities control enabled in combination with IoT.
- Mining processes:
Investigating for fuel can be more precise and efficient with assistance from AI robots. Such robots are built to guide miners through tough, gruelling work by providing real-time instructions to improve the performance of workers.
- Performance and personalization
If you are thinking to boost the efficiency of your mobile app development process, AI can cast its intelligence. It augments your mobile app performance, accelerates the pace of objective fulfilment and personalizes user’s experience to a great level. Of all the AI-powered aspects, personalization is one area AI seems to master.
AI gives developers a lot of flexibility and creativity needed to make interface more engaging and personalized. Intelligent algorithm helps generate better choices and custom product recommendations, processes information, predicts upcoming requirements and user interests, and offers GPS-based precise navigation to mobile app users.
- Popularity, marketing and success
Based on what is going on in digital technology and mobile app market, we can affirm that AI is reputed as novel yet popular trend among recent technologies. The element of novelty helps AI emerge as a celebrated and trendy technology with positive appeal for user audience. This attribute of mobile apps with AI claim bigger chance of getting popular, successful and profitable. If used with a unique, innovative approach, AI-enabled apps can offer competitive advantage to your app. AI can also make it easy to automate mobile app marketing and promotion activities. Google’s G suite is incredible office software designed around AI technology to enhance productivity by automating email responses with numerous options for users to choose from.
Cons
- Risk of mediocre features
Artificial intelligence can’t function on its own and requires a solid interface and support of strong, sophisticated technologies that can automate various analytics tasks. If you are struggling with time or lack sufficient resources to develop these dynamic technologies, the chances are you may create an AI app with incomplete features that don’t seem intelligent enough to respond in a desirable and consistent manner. In many cases, omitting such mobile app features sounds better than offering its shabby, mediocre version.
- Lack of potential creativity
Rich imagination, thought process, creativity and vision are some of the scintillating elements of mobile application developers. Only humans have enough power to imagine a design and then bring it to reality. Machines, despite being intelligent or smart, have limited processing power which is bound to its programmable algorithms. AI machines can help with certain portions of designing blueprints, but they are not capable of thinking like human mind.
- Employee Replacement
This can be seen as a direct fatal blow coming from AI machines. Professionals who are in a learning phase or have average skill-set might compromise their job as intelligent technology can take over routine first-level tasks. For instance, supervision system of mobile app development companies can be automated with AI, reducing the amount of manpower needed for an assembly line role.
- Costly solutions and implementation
After quality and convenience, affordability is another epic factor in deciding whether or not intelligent machines are worth the penny spent. For mobile application development companies, the question of cost may be case-specific. Usually, AI solutions for developers might levy massive burden since they involve good amount of expenses in the process of creation. AI has limited vision and needs constant updates to match expected outcome, which increases management and maintenance cost. Therefore, companies of enormous scale with ambitious projects probably have a greater chance to make the most out of their AI investment than emerging or small-scale businesses.
- Fairly naive and less spontaneous
Human insight relies on cognitive process of knowledge which indispensably involves real-time experience and observation. However, AI machines used for mobile app development are different and follow a robotically programmed wisdom. Unlike humans, AI do store a lot of information but do not access and analyse the data in the same way as humans do.
It is too idealistic to expect AI-powered mechanism to alter their responses and actions to changing needs. It simply lacks the human touch needed to take sensible decisions such as judging the efficiencies of two humans. When it comes to making firm choices based on common sense and natural spontaneity, AI’s mechanical algorithms fall flat and human judgements turn out to be effective.
- AI implementation is challenging
Despite all its magnificent benefits, it is true that practically, implementing AI solutions and intelligent machines is a major pain point. For a mobile app developer, using and adding AI capabilities to numerous dynamic aspects could be a baffling and gruelling job. The reason is the requirement of perfect harmony and coordination between moving parts to ensure engaging, seamless user experience.
During the process of implementation, AI algorithm must be taught to process, evaluate and understand inputs in a way that the final output matches user expectations. Moreover, since AI apps have openness for constant learning, the need to imbibe latest trends and adjust behaviour is inescapable. These several crucial factors make AI implementation a little complex though the results are unquestionably favourable.
Conclusion
The ultimate decision of whether or not to use AI in mobile app development process comes down to AI developers. Based on the comfort level, familiarity and the degree of taking risks can ensure optimal implementation of AI technologies and chatbots. The final outcome must be made painless, profitable and hassle-free. If you are looking to build AI-powered mobile apps, Redbytes can offer you the most comprehensive resources and advanced solutions with a futuristic approach.