You may be wondering how Artificial Intelligence (AI) is empowering the software development industry? Let’s start with the fact that Artificial intelligence (AI) continues to evolve, grow and play an increasingly important role in the software app development space. When it comes to developing innovative as well as more sophisticated applications, the involved technologies continue to play a bigger role.

AI and software development has gained worldwide exposure over the years through Hollywood, including the recent blockbuster movies such as Avengers: Infinity War in which AI was used. Nowadays, we are seeing the increasingly advanced application of AI incorporate mainstream computing. 

In this blog post, we examine the benefits of AI for web development, as well as some unique integration challenges.

Firstly we need to have a look at the AI-powered solution that can have a large impact on your business.

You may be wondering why Drupal is the best CMS ( Content Management System ) in the market? how it is associated with AI? The answer is very simple as you know that the web customer interacts mainly with the enterprise through menus, buttons, and text fields. With the beginning of text messaging and social media, the web demographic trends toward the use of free-form text, also known as natural language. In response to the increased use of natural language in online communication, chatbots had currently become a hot topic.

The first question that may come to your mind is what is natural Language Learning in AI? What is the importance of AI for web and mobile app development? Let’s have a glimpse of chatbots first so that it will be easy for you to have a better understanding of this topic. Chatbots are basically automated software agents that interact with web visitors, usually in a natural language such as English and perform tasks as requested by the visitors. Chatbots have been deployed in the enterprise, for customer service purposes. It should be noted that AI is optional for chatbots. Without Artificial Intelligence (AI), chatbots can only understand a narrow set of language constructs that system developers have predefined.

The good news is that AI and web development has made an important impact in the area of natural language understanding. Commercial success is one of the recent evidence of AI-based personal digital assistants – Siri from Apple, Alexa from Amazon, Cortana from Microsoft, and the Google Assistant.

Artificial Intelligence for Web & Mobile App Development

Machine Learning is offering many advantages to software application development, for example, they are allowing web and mobile applications to adapt over time by observing and learning from users’ characteristics, habits, and preferences. User experience improves as a result. Let’s dig deep and have a look at the top 8 ways in which AI is empowering software application development:

1. Software Testing Automation

The use of Artificial Intelligence (AI) algorithms helps in testing websites and applications with minimal user input. Such algorithms are capable of analysis of recorded data and make predictions on important aspects of web testing. They can also detect faults and suggest improvements. Artificial Intelligence can thus help in identifying and fixing bugs and errors in a more efficient and faster way compared to conventional processes.

Some repeated jobs are tedious in nature. I’m sure you too don’t wanna do it, again and again, one such is the calculation. This kind of job can be easily handled with the AI algorithm. A machine can think faster than humans and is capable of handling multiple tasks at the same time.

2. Brainstorming design layout ideas

If you wish to have great online success, an eye-catching design layout for the website is mandatory. The firm task, however, is that creating the various designs and then settling for one needs a lot of time as well as the resources. It is a hard-won process when it is done by the human developers, and at times pushes them to settle for such a design that clearly required a little tweaking but money and time could not allow.

When you hire software developers, they can make use of and explore various templates and design options within a short interval of time. Machines can suggest and create many viable options at one go, leaving the human developers with only an easy decision to make.

As you know, users of the website are customers (and they will share their experiences). It’s important to make sure that your website is appealing to attract a large audience. Nowadays, many customer-centric websites are beginning to rely on AI to improve the customer experience. This is one of the reasons why AI and web development walk hand in hand.

3. Voice-Based Interaction

Artificial Intelligence, based on the ever-evolving content delivery system and human-computer interaction, has led to the development of voice-based interaction tools. According to statistics, almost 50% of the searches will be based on voice within a year.

When it comes to AI for web app development, AI will help customers in resolving their queries and understand the related operation by directly speaking out the inquiry in an explicit manner. With the help of AI, you can save time and solve customer queries within seconds.

There are many benefits that make AI technology an important element of web development terrene. It provides customer assistance for hours and is able to perform the job continuously without getting bored or distracted or even tired. There is no need for frequent breaks and refreshments like human beings.

4. Search engine optimization

The SEO elements of a website depend usually on their web development aspects. Some highly sophisticated web analytics tools are available, but they are only as good as the processing skills of the developers, webmasters, and application owners. The use of AI and some data can help all the stakeholders in optimizing the use of data. It becomes possible to make optimal use of data for improving SEO.

AI-based predictive engines send notifications to developers about any discrepancies in the architecture of the web applications. They can also notify any issues that exist in the web content and affect SEO. The notifications and inputs can be used for improving the content and other aspects that may play a crucial role in connecting with the audience. More and more websites are using AI-based tools for planning their web content based on search engine algorithms.

5. Personalized Store Experience

AI can help developers bring the convenience and luxury of new online experiences for consumers who purchase online. Using AI-based ios app development solutions you can make e-commerce experience more personalized. The new goal behind the online store experience is much more evolved than what it used to be. It is not just limited to provide intuitive navigation through the online store, but also provide a great shopping atmosphere.

There are many more areas where Artificial Intelligence is benefiting web development. For instance, the ease of using chatbots packages, enhanced the rendering of video content, improving cognitive abilities, and improved design layout concepts. Cognitive computing is a self-learning system that makes use of Artificial Intelligence (AI), based on the way the brain works. It continues to play an increasingly important role in web app development. A good artificial intelligence development company can create web or mobile application layouts based on previously accumulated experience and cognitive comprehension. AI can also develop similar features based on machine learning.

6. AI helps in augmentation of content & traffic channels

In case you are a single developer working on the website, there are few things that you require to handle when it comes to the content: promotion and development. These fonts can be improved with the help of Artificial Intelligence, especially if you choose to go beyond the traditional blog posts & spice up the content mix. For example, you can build an online course or create a YouTube channel. Now in order to make the most out of those content promotion channels, there are chances that you rely on the ads to push the value propositions to more individuals.

7. Easy to use chatbot packages

Even many organizations & web development firms are providing customer engagements superimposed on the chatbot services and AI agents. Now, every organization can avail of the software development services for chatbot or use a pre-built one that has AI capabilities of enhancing the customer’s initial point of inquiry.

Many highly advanced organizations have already implemented machines on behalf of humans to interact with their customers by using ‘avatars’. It is the digital assistants or dupe which helps to reduce the need for human resources. Which is very cost-effective. It’s not less than an absolute win as you are able to save a good sum of money which you can invest in other areas of your business.

8. Rendering Enhanced video content

Video contents are a crucial factor in getting your websites popular and viral among the audience. Provocative, intriguing, and interesting videos going viral might bring huge traffic in just one night. Here, artificial intelligence plays a crucial role in making the video viral. Now, you want to know how? Based on the interactions of humans & on the basis of the signals of users with similar types of videos, AI-enabled software can suggest various changes to the video content that can make them pretty popular. In addition to this, video recognition content analysis opens up various new opportunities for better user experience as well as smart user searches.

The content rules in the digital world whether it is videos, blogs or articles. By implementing Artificial Intelligence or AI on your web and mobile app you can show the audience certain content that is tailored to them. AI can suggest the user new videos, music, and other relevant content based on their past behavior of the users. They can feel hale discovering new content while being confident that they will find it relevant.

Which one to choose AI or Human?

There are beliefs that people might lose jobs when Artificial Intelligence takes over. Industry experts are of the opinion that this might result in unemployment as people may lose their jobs, but it would pave the way for new opportunities – we can foresee an increase in AI-related jobs. Companies will start seeking more resources with AI expertise.

In the era of ‘technology’, specifically, something like ‘AI’ and ‘machine learning’, change is the only way. This means that in the future, only people with the related skill set, who are well-trained and experienced in the field of AI would have more scope of finding a job. As developers or a businessman, you are constantly required to stay updated with the changing trends, because it is the need of the hour.Even millionaires have accepted the fact that AI is an irreplaceable part of the web development sphere. Elon Musk on AI has said, “If you can’t beat it join it”. Musk stressed that the “primary purpose” of the Neuralink Livestream event was to recruit additional talent to work on the project related to AI development. The company has raised US$158 million and employs over 90 people.

How Is AI Impacting Software Testing?

The rise of software testing automation has coincided with the adoption of agile development practices in software development. This enables teams to deliver robust and bug-free software applications in small batches. Manual software testing is merely limited to business acceptance testing. Test automation with DevOps helps Agile teams ship fail-safe product for SaaS & Cloud deployment via CI & CD pipeline.

In the software testing industry, AI is a combination of logic, cognitive automation, machine learning, natural language processing, and analytics. Cognitive automation takes advantage of a plethora of technological approaches such as text analysis, data mining, semantic technology, natural language processing, and machine learning. For example, RPA (robotic process automation) is one such connecting link between cognitive computing as well as AI.

With the advent of AI, the drive for its use in software development, especially in software testing, is only natural. Although the role of AI in testing is still in its infancy, thought leaders in this community are talking about self-implementation, self-creation, and self-testing testing frameworks.

So, here we will see how artificial intelligence has changed the conventional way of testing software.

Automating Visual Validation

One method of software testing that is becoming more popular every day is image-based testing using various automated visual verification tools. There are a plethora of ML-based visual verification tools that can detect minor UI anomalies that are likely to be missed by the human eye.

The main purpose of user interface testing is to ensure that each UI element looks good with the correct color, size, shape, and position and is not physically overlapping with other UI elements. In addition to this, all these visual bugs can be checked by a simple ML test without interference from the tester.

Automatically Writing Test Cases

One of the biggest applications of ML & AI in test automation has been in automatically writing test cases for software. In some earlier days, we have heard about web crawlers and “spidering” (browsing a software/ web in an automated and methodical manner using an automated script or program) which helped us find 404 dead pages.

Now, artificial intelligence and machine learning tools have gone far ahead so as to learn the business usage scenarios of the software application under test. They just need to be pointed to the software. While learning the software application, they collect and crawl automatically all the useful data like HTML pages, screenshots, and page loading time. Over time they collect enough data from the software application so that they can train the machine learning model for expected patterns of the software app.

When they are run or executed, the current state of the software app is compared with the known or saved patterns. If there is any slow run time error, visual difference, or similar issue, then the system marks it as a potential issue automatically. However, in various cases, the differences might be valid. In that case, the software tester needs to validate the issue or bug.

Improving Reliability

Are you among those whose Selenium or UFT tests fail owing to small changes to applications (such as renaming or resizing an area) made by developers? If yes, do not worry, this is a problem most examiners face.

Now artificial intelligence can correct the code and make it more reliable and maintainable so that you don’t have to change the test every time the developers make a small change.

Artificial intelligence or machine learning tools can read the changes made in the application & understand the relationship between them. This kind of self-healing script monitors changes in the application and starts learning the pattern of changes and can then identify changes at runtime by you without doing anything. The machine learning script automatically adjusts as the app develops, reducing the scalability and fragility of test automation.

Reduced UI-based Testing

Another common change brought to the automation test by artificial intelligence and machine learning is automation without the user interface. Non-functional tests such as unit-integration, performance, security, and vulnerability are also no exception. Artificial intelligence and machine learning based techniques can be applied to generate tests in these layers. In addition, artificial intelligence and machine learning are applied to various application logs such as source code and production monitoring system logs, which helps develop early notification, bug prediction, self-remediation and auto-scaling capabilities in the overall ecosystem of software.

Artificial intelligence based testing reduces overall test cost, error, time, and scripting. Isn’t it exactly what we want? There is no doubt that artificial intelligence and machine learning are game-changers in the software industry and hence it will soon become a trend in the market. These high-time software teams move towards artificial intelligence based approaches to software product development, management, and testing.

Conclusion

There are many more areas where Artificial Intelligence (AI) is benefiting the software development domain. Some of the examples carry the ease of using chatbot packages, enhanced the rendering of video content, improving cognitive abilities, and improved design layout concepts. These are some ways in which AI is influencing software application development and making it more efficient. In the near future, we are going to see new Artificial Intelligence applications that will carve a better customer-centric market across different industries. In order to stay ahead in the competition, software developers will help you to join hands with AI technology and learn all the techniques and algorithms involved in the web development process. So hire mobile app developers or rent a coder and take your business to the next level.