The awe-inspiring fact that the development of websites has put companies in full swing. Companies with an online presence have benefited from the authenticity and trust associated with doing business. The trust and authenticity factor has given businesses better conversations and workflows, which have also improved the customer experience.
With technological updates and advancements, a business owner or entrepreneur must adapt to the latest technological trends to update and improve current business needs to provide a better consumer experience.
See the image below to analyze how AI has grown out of the bubble:
If you haven't, I'll take you through a blog eccentricity related to AI and web application development.
Now you may wonder about specific questions that you will think about after reviewing the statistics:
Some of the most common questions are:
- How can companies integrate AI into their current web application development process?
- Is AI the future of the web application development process?
- How has AI impacted the web application development process?
- How will AI impact the web application development process?
Let's get started!
We are all controlled by the screens of our mobile phones. The digital age of mobile phone users has affected the way we shop, search and request things.
Therefore, companies must integrate and harmonize their approach to developing and designing dynamic web applications to deliver a better and brighter UX. Today, websites are leveraging machine learning and artificial intelligence (AI) skills in their web application development process, but how, we'll find out!
Let's now look at seven key ways AI has impacted web app development.
1| Voice-based interaction
Voice-based interaction is a way to modernize human-computer interaction, resulting in voice-based interaction tools. According to a recent study, by 2020, around 50% of searches will be conducted using voice.
The statistics are vital enough to prove that voice searches will become more common in the coming years. In addition, AI-powered chatbots and virtual assistants are helping organizations improve customer experience and engagement by integrating AI into the web application development process.
With AI integration, customers can quickly solve their questions and understand related activities by asking the question directly and unambiguously.
2| Search Engine Optimization
There is almost no website on search engine results pages (SERP) that has not been thoroughly optimizing through SEO (search engine optimization). The basic design or architecture of a website base on approaching web development considerations.
To optimize and develop a website following SEO guidelines, web application programmers or web developers use various data analysis tools to analyze and optimize the website following SEO standards, policies and constantly changing algorithms.
The use of mining data and AI will help maximize the usefulness of the data, allowing web developers to work with the data to improve SEO. In addition, prediction engines using AI will alert web application programmers of anomalies in web content and architecture so that developers can correct the changes.
3| Automating Web Testing
AI algorithms help test apps and websites with minimal user input. It can help in analyzing historical data and predict critical aspects of website testing. They can even help predict errors and patterns.
It means that AI can correct errors and flaws faster and more automatically than conventional methods.
4| Improved Cognitive Abilities
Cognitive computing depicts the ability of machines to mimic human brain activity. It is a self-learning system that uses AI and machine learning models to optimize the web development process.
A web designer can outsource the design of a website by using experience and cognitive abilities to make sense of things. Nevertheless, AI has the path to similar resources that can help integrate the subcomponents of a website. It is possible thanks to the improved and enhanced cognitive abilities of ML and AI.
5| Chatbot Packages that are Easy to Use
Many organizations and web development companies deliver customer delight and engagement based on chatbot services and AI agents. Today, any organization can either use chatbot development services or use pre-built AI capabilities, thereby improving the customer's first point of inquiry.
6| Ease of Web Programming
AI can completely change the path of a web app programmer and redefine the ways of web coding with self-learning algorithms. The AI-driven algorithm can help automate tasks such as connecting or updating the database. It can also assist with ultimate predictions to allow developers to implement the necessary solution.
What would developers need to do in this case? First, they would have to choose the right AI development platform to train the photographs furthermore feed them with the best source of information. The better the design and training of models and algorithms, the better the results of these systems.
7| Automating web data analysis
For marketing websites, website owners collect data and information about visitors and customers to transfer their target audience. By mixing voice assistants or understanding, chatbots into websites can automate these processes.
To collect data, websites use AI-powered data extraction tools to get ideas and make web development strategies. These machines use artificial vision, natural language processing, machine learning, and image recognition systems.
The Most Popular Artificial Technologies in 2021:
The above pointers have indicated the importance of AI in web app development. But wait, are we missing something? Artificial intelligence or AI has been synonymous with trending technologies that have taken over the world by storm, with the AI market expected to grow more than $47 billion by 2020.
For businesses, it is essential to dig deep and understand the leading technologies in artificial intelligence in the future years, along with how it will improve the web development process.
| Machine Learning Platforms
AI and Machine Learning are Interconnected. Several Machine Learning Platforms are available for APIs, development and training toolkits, data, and computing power to design, train, and deploy models in applications and other machines. .The latest technology in synthetic intelligence has changed several businesses in many enterprise applications involving prediction or classification. Some popular vendors that have used ML platforms include Amazon, Google, Microsoft, SAS, etc.
| AI-optimized Hardware
The advent of AI technology has given birth to AI-powered hardware known as Graphical Processing Units, designed explicitly for AI-based computational tasks. Currently, it has made a massive difference in deep learning applications through reduced precision and In-Memory Computation using phase-changing memory. There are tons of companies that have used AI-optimized hardware. Such companies include Google, IBM, Microsoft, and Intel.
| Decision Management
Revolutionary AI technology has impacted decision-making with faster decisions, recognized risks, and mechanical processes. A generator that inserts rules and logic into AI systems can use initial setup/training and ongoing maintenance and tuning. It has been operating in several enterprise applications that can help assist or perform automated decision-making operations. Companies with integrated decision management through inhibitory AI technology include Advanced Systems Concepts, Informatica, Maana, Informatica.
| Deep Learning Platforms
Advanced AI technology has supplied birth to deep learning platforms consisting of artificial neural networks with multiple layers of abstraction.
It has been mainly used for pattern recognition and classification applications supported by large datasets.
| Biometrics
It allows more natural communications connecting humans and machines, not limited to touch and human recognition. It has been used primarily in market research. It operates by companies such as 3VR, Affectiva, Agnitio, FaceFirst, Sensory, Synqera, and Tahzoo.
| Automation of Robotic processes
Automating human actions using scripting and other methods to support business processes. The performance has been using by companies such as Advanced Systems Concepts, Automation Anywhere, Blue Prism, UiPath, WorkFusion.
| Text analysis and natural language processing
Natural Language Processing (NLP) supports text analysis by understanding sentence structure and meaning, emotion, and intent using statistical and machine learning methods.
From the above AI technologies, I can configure many benefits from AI technology in the picture. But, unfortunately, many companies have already started adopting AI. But, unfortunately, companies are not even interested in adopting the channelizing change that AI can bring into web development.
For these companies, the blog can be an eye-opener for them to explain AI development in web development and other related fields.
| Summary
In the blog, I can conclude that AI has been reshaping in all sorts of sectors. With technological advancements coming in, it is not hard to say that AI has been one of the most driven technologies in recent times. Therefore, for web app developers, it is necessary to get hold of AI algorithms and tools to encourage their web app development process. If you are looking for AI developers there are many web development companies in India that may help you in reshaping your ideas.
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Feedback from customers will helps you to navigate your app with a roadmap to make the changes quickly and not keep trying to figure out what is going wrong through statistical or analytical data.Read more - http://www.getmyappz.com/blog/why-feedback-and-control-are-necessary-for-your-app/
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