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Pros and Cons of Artificial Intelligence in Mobile App Development

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.

7 Reasons Why Enterprise Hesitates to Integrate AI in Mobile Apps

The digital landscape is shaken with a lot of buzz around investments and integration of AI in businesses. While Artificial intelligence could be an answer to so problems regarding customer services and business revenue, the potential of AI technology has become one of business apprehensions due to uncanny doubts about the application of fully automated, data-driven work models.

On hand, words like competence, efficiency, personalization and automation are highly connected to AI-enables solutions. On the other, the mobile app development scene is unable to surpass prejudices and challenges the technology induces. Today a lot of enterprise companies feel cynical about adopting Artificial Intelligence in their future business model and mobile apps. Here we have narrated a few reasons behind this ongoing hesitation.

1. Cost Concerns:

If one of the potential advantages of using AI technology in organizations is its ability to perform and automate mundane tasks, one of the chief drawbacks of using artificially intelligent machines is cost. Mobile app development companies especially know how much efforts and cost consumed in the process of integrating AI in mobile apps. The process is comparatively costly and requires flexible budget to manage AI-powered apps. Moreover, companies have to implement frequent upgrades to complement changing trends, policies and business requirements, which further makes the cost heavier.

2. Breakdown and Recovery Challenges:

Since machine learning and its precise implementation come with a lot of research work, it is big challenge to meet the expectations and fulfil new demands every day. When there is an instance of serious breakdown in the system, AI-enabled machines demand a length of careful procedures and actions that may exhaust the operators and monitoring assistants. System maintenance and codes recovery processes would need great patience and resources, increasing the loss of productivity.

3. Consumption of lots of Resources and Time

Artificial intelligence may sound fancy, but when implementing it requires significant amount of human resources to develop intelligent interface, predictive analytics automation and natural language processing. Integrating these parallel technologies mean you can’t just think and act on it instantly. Also, AI-powered apps must be highly adaptive and configured to process incoming data in an intuitive and intelligent fashion.

If you are deprived of time, financial support and essential human resourcefulness, there is a big chance that you may create software or app that does not leverage AI in desirable and efficient manner. Mobile app developers also believe that the idea of eliminating sophisticated features sounds better than including their underdeveloped or partially functional version.

4. Lack of human-like acumen

It may come as a surprise, but AI contains the word ‘artificial’, which means it still lacks true human power and intelligence. One of the arguments that stand against AI technology is that the machines and intelligent robots are not completely capable of producing reliable judgement calls, or of being as flexible as human brain. Algorithms and machine computing have certain limits and can’t work in places where human supervision becomes necessary.

Machine learning is stubbornly programmed and completely mechanical when it comes to making sensible decisions based on ongoing crisis. It can be understood that in critical situations of emergencies or other ulterior incidents, AI may fail to pull off what is most expected of it.

5. Unimaginative and mechanical

It is a valid argument that artificial intelligent machines are low on creative imagination and innovation. This can be especially disadvantageous in the process of mobile app development where you must be original and creatively talented to yield high-quality competitive products. Only humans can be inventive and deal with elements like aesthetics, layouts, graphics, storyboards and many creative design ideas. Machines can only help proceed further what designers have already ideated since they lack human sensitivity and emotions.

6. Inflexible knowledge and stiff insight

Humans can think logically and learn a lot through their every day experiences, developing a cognitive flow of knowledge. This may not be the case with artificial intelligence machines that do store a plethora of information without gaining ability to access it the same way as done by humans. AI machines are rigid and subject to what is fed and programmed as part of its algorithm. When the environment changes, their responses and insight remain inflexible, failing to be fully adaptive to evolving updates and requirements. Due to such stiff knowledge and limited insights, enterprises may find it undesirable to integrate AI in their mobile apps.

7. Still toddling in marketing sphere

Even with so much admiration and enthusiasm brought around the discussion of AI-powered applications, artificial intelligence and machine learning are still struggling to meet expectations as set by futuristic Sci-Fi movies. Seen as too fantastical or exaggerated, the concept of artificial intelligence getting integrated in 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 deduce that AI is still taking baby steps for certain group of business ventures.

Why to consider AI in mobile apps?

Despite all the hesitation and speculative fears enterprises have against the use of AI in mobile apps, here are certain facts of AI mobile apps to consider:

  • Consumer expectations are on the rise and they rely extensively on their Smartphone while seeking unique offers and brand information.
  • If done creatively, integration of AI in mobile apps personalize the user experience and enhance UI.
  • Due to personalization, relevance and improvements experienced in AI-driven offers, user abandonment rate will diminish.
  • With precise analytics and predictions of user behaviour and trends, brands can retain, engage and acquire more customers.

Based on this market scenario, we can say that businesses that soberly favour AI integration in mobile apps will gain booming competitive advantage and unrivalled position in relevant market.

Conclusion

They way AI technology is evolving, it is inevitable for businesses working in digital sphere to adopt AI to strengthen their online presence. The fact that users already have apps and portals generating auto-responses approves artificial intelligence as a future for customer engagement and business acquisition. Digitally sound enterprises should think of hiring employees conversant with AI-driven business models. Organizations that are truly focused on building awareness of AI and grasping the potential of intelligent machine learning will be among the high revenue gainer in future.