8 Advantages of AI in mobile app development

Mobile app development , , August 5, 2020 8 mins read

Advantages of using AI in mobile app development

Artificial Intelligence is becoming omnipresent. Starting from your smartphone to your TV screens, refrigerators, factories, classrooms, office, and the list is unending! Humans are producing machines that can think and perform better than humans in every field. 

The smartphone in your hand knows much better about you than your friends or even parents. It can recognize your voice, your face, record your health details, and observe your behavior. Today, we will discuss the entry of AI in software development and how it is creating a boom in this industry! 

Developers burn the midnight oil to write tons of lines of code and then debug the errors. The most tiring task is testing where the reasoning ability of a developer plays a crucial role in coding the test cases! 

Now, AI comes and changes the whole scenario! It can recognize the error, debug it at the root cause, write test cases itself, and self-heal too! Then what will humans do? Surely work on other app development projects while keeping a check on the performance of AI. 

Well, this was just a trailer. Let’s look at the whole story!


Advantages of using AI in software development

  • Maximum performance and efficiency

AI is now a considerable nuance. Human developers can be tired, need some break, get ill, and face several problems, but a machine will meet none! AI robots can go one producing the test cases without any single error and eliminate all the possibilities of any glitches. 

  • Mobile AI will entice retail customers

What is the mood of the market and the customers? Retailers might fail to understand, but machines note down everything! All the business applications available in the market using AI to collect information from POS, online traffic, smartphone devices, etc. Through the data, AI will learn about the trends and then create relevant content that connects more to the customers. 

  • Intelligent interactions and competitive business

Remember how Alexa, Siri, or even Google voice assistants, sometimes send you notifications based on your behavior or mood? That’s Intelligent interactions! It is becoming the need of the hour, especially for the Start-ups. AI-enabled apps help to understand the customers and give feedback to the developers too! This helps in better productivity.

  • AI apps retain users

Once a user gets habitual of using an app, it will never get uninstalled. AI understands the customer needs in so detail that it provides a tangible and seamless experience. 

  • Deliver personalized content

How does Netflix or Amazon Prime know about your taste? How does Spotify recommend you about the music you must listen to? It is all AI. Such features lead to increased customer satisfaction!

  • Automatic debugging

The AI robot will learn about fixing the errors from the developers and then fix those by itself in the future. This will save a lot of time in debugging and allow the developers to work on other projects too! 

You may also love to read – Need and advantages of AI in software testing

Benefits of AI-enabled apps 

  • AI voice interface for IoT

IoT is a cool invention, especially the way it has revolutionized the home appliances and security systems. But all the IoT devices use single interfaces. This is where AI comes into play. 

AI will integrate all the individual interfaces by using a standard voice interface for all IoT enabled devices. After this, it will become easier to connect, command, and control the IoT devices. 

  • Predictive intelligence signs higher profits

It is related to pattern reading. You might have received various notifications regarding the sales, offers, and discounts. The AI algorithms will keenly note down your history of buying tendencies and then later suggest you only those offers! This is how AI helps to grow business! 


How AI can impact software development?

The AI tools in software development have a market of $2.9 trillion as of now. Around 80% of the companies in this industry are shifting towards AI. 

  • Learning

To accelerate the Software Development Life Cycle (SDLC), AI has a wide range of tools for us like Google ML Kit and Infosys Nia that detects the most common loopholes before the team moves on to the designing. After this stage, AI offers Natural Language Processing (NLP) to understand user requirements. Some of them are –

    • IBM Watson Text To Speech
    • AX Semantics
    • Article Forge
  • Design of the software

To design every phase while software development is the most error-prone task and to satisfy the client simultaneously, it is quite tricky. But to our rescue, we have an AI Design Assistant (AIDA) that can understand customer needs and work accordingly. AIDA helps to build the website using various customized designs. Few of the examples are – :

  • Tailor Brands
  • Sensei (Adobe Photoshop)
  • Prisma
  • Deepart

Some famous AI tools used in software development

  • Google Bug spot tool w3c

The codebase at Google changes every month. Though Google has a large team of engineers looking after the bugs and resolving them, sometimes a war-like situation arises between the humans and the bugs. Such bugs are called ‘hot spots.’ Google’s AI tool uses machine learning and statistical analysis to identify and resolve the hot spots.

  • Stack Overflow AutoComplete

The AI tools embedded will automatically suggest the functional code lines that you want to write and thus complete your code in no time. 

  • Deep Code

This AI tool has learned from the GitHub repositories, the volume of 250,000 coding rules, and now can fix most of the errors in code. So, while software development is one of the most beneficial tools to write error-free code.  


AI creating AI

At this juncture, companies still need data scientists and ML engineers to train the model and develop solutions, but now the research is being done on AutoML solutions. 

AutoML solutions will automate the machine learning model training process. Examples are H2O.ai’s Driverless AI, Google Cloud’s AutoML, and Amazon Sagemaker. 

All these tools can automate many components such as data preparation, model search and tuning, and model deployment and scaling! 


Conclusion

Traditional methods will make things more complex and time-consuming. Right from fixing the errors, designing, and giving feedback, everything is handled by the AI bots. Stop those archaic practices of reading lengthy documentations. 

Just feed in the code examples, best practices, and relevant documents to the intelligent assistants and save your time! Provide your clients with exact budget estimates and deadlines using the AI tools, which will read the past experiences and give the most suitable results. 

All the features of AI help the corporates save their capital, be it cutting the cost on human resources or increasing productivity and sales. 

Our team at RavStack has developed tremendous mobile applications before the deadlines, using AI. Our developers have always accommodated the changing needs of the clients quickly using AI tools. 

The designs of the mobile apps developed by us using AI tools are the most unique and eye-catching. Still not surprised by the power of AI? Contact RavStack, and we will show you how high-quality mobile apps are developed using AI within no time! 

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Ravi Sharma

Ravi is an out of the box thinker, mentor, advisor, and consultant to businesses, helping them in choosing the right technology partner. With more than 2 decades of work experience in global IT business, he possesses a talent for putting in place unique strategies and measures for streamlining operations, invigorating businesses, and heightening productivity.

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