Shifa Martin
I’m Shifa Martin, a technical writer, and IT analyst at ValueCoders. I am profound in writing on all the latest technologies such as Blockchain, AR/VR, Artificial Intelligence and much more.
In order to stay ahead of the competition, it is advisable for businesses to integrate AI-enabled technologies in their website development process. Many web app development companies have already insinuated the process of AI in web app development. Look for the companies who provide a similar experience without additional costs.
A hard-hitting fact of website development has taken up businesses in full swing. Businesses having an online presence have been benefiting the business in authenticity and trust. Trust and authenticity factor has been charging businesses with better conversation rates and workflows that have also improved customer experience.
With updates and advancements in technology, a business owner or an entrepreneur needs to match up with the recent trends in technology to upgrade and upskill the current business needs for better consumer consumption.
Look through the image below to analyze how AI has been growing out of the bubble:
With such striking and intriguing stats, you must have got the idea about the essence of the blog, if not, I will take you through to the eccentricity of the blog which will involve AI and web app development.
Now you must be wondering about certain questions that are taking up your mind after going through the stats:
Let’s begin!
We all are driven by the screens of our mobile phones. The digital era of mobile phone users has been impacting the way we shop, search and make transactional requests.
Thus, it is very important for businesses to integrate and align a dynamic web app development and design approach in order to give better and smart UX, nowadays websites have been leveraging the art of Machine Learning and Artificial Intelligence (AI) for their website app development process but how, let’s find out!
Now, let’s have a look at the top 7 ways in which AI has been impacting Web App Development.
Read on to know them in detail:
Voice-based interactions is a way of modernizing the human-computer interaction, giving rise to voice-based interaction tools. As per a recent survey, about 50% of the searches will use voice in 2020.
The stats are strong enough to prove the emergence of voice search in the upcoming years. AI-enabled chatbots and virtual assistants are helping organizations to enhance customer’s experience and engagement through the integration of AI in the web app development process.
With the integration of Artificial Intelligence, customers can easily resolve their queries and understand the related operations by directly speaking out the inquiry in an unambiguous manner.
There is hardly any website on the search engine result pages (SERP) that has not been optimized thoroughly through SEO( Search Engine Optimization). The basic layout or the architecture of the website is based on web development aspects.
To optimize and develop a website as per SEO guidelines, web app programmers or web developers are relying on various data analytics tools for analyzing and optimizing the website as per SEO norms, guidelines, and ever-changing algorithms.
Making use of Mine data and AI would help in maximizing the utility of the data and hence the data can be worked upon by the web developers to improve SEO. Also, the AI-enabled predictive engines notify the web app programmers about the irregularities in the website content and architecture for developers to work upon to rectify changes.
The AI algorithms are helping in testing the applications and websites with just a little input from the users. The algorithms can analyze past data and predict the crucial aspects of website testing. They can even help in finding fault predictions and patterns.
It means that AI is able to fix the bugs and errors faster and automatically than the traditional processes.
Cognitive Computing represents the ability of machines to mimic the way the human brain works. It represents the system of self-learning utilizing the models of AI and Machine Learning to optimize the web development process.
A web designer can solely layout the website design with previous experiences and cognitive ability to understand things. However, AI has access to similar resources that can help in integrating the partial components of the website. This has been made possible with the enhanced and improved cognitive ability of ML and AI.
Many organizations and web development companies are providing customer delight and engagement that realm on chatbot services and AI agents. Nowadays, every organization can either avail chatbot development services or can use prebuilt AI capabilities thereby enhancing the customer’s initial point of inquiry.
AI can completely change the way for a web app programmer and redefine the ways for web coding with self-learning algorithms. The AI-powered algorithm can help in automating tasks such as adding or updating the database. It can also help with future predictions to empower developers to implement the required solution.
What developers would need to do in this case? They need to choose the right AI development platform for the training of models and feed them with the right source of information. Better the design and training of models and algorithms, the better will be the outcomes of these systems.
For website marketing, site owners collect data and information of visitors and clients so that they can reach their target audience. By integrating voice assistants or intelligent chatbots into websites, these processes can be automated.
For the collection of data, websites are using AI-powered data extraction tools to gain ideas and drive web development strategies. These tools use artificial vision, natural language processing, machine learning, and image recognition systems.
The above pointers have clearly stated the importance of AI in Web App Development. But wait, are we missing out on something? Artificial Intelligence or AI have been synonymous with trending technologies that have taken over the world with a storm with the AI market expected to grow more than $47 billion in 2020.
For businesses, it’s important to dig down deep and understand about the top Artificial Intelligence technologies in the coming years along with how it will impact the web development process which I have discussed in the earlier phase of the blog:
AI and Machine Learning are interrelated. Several Machine Learning Platforms available for APIs, development and training toolkits, data, as well as computing power for designing, training, and deploying models into applications and other machines. In a wide range of enterprise applications involving prediction or classification, the latest technology in Artificial Intelligence has impacted several businesses. Some of the popular vendors that have been using ML platforms are: Amazon, Google, Microsoft, SAS, etc.
The emergence of AI Technology has given birth to AI driven Hardware known as Graphical Processing Units that has been specifically designed for AI based computational jobs. Currently, it has made a huge lot of difference in deep learning applications through reduced precision and In-Memory Computation using Phase Changing Memory. There are tons of companies that have been using AI-Optimized Hardware. Such companies are: Google, IBM, Microsoft and Intel.
The revolutionary AI technology has impacted the decision making ability with recognized risks, faster decisions and automated processes. An engine that inserts rules and logic into AI systems can be used for initial setup/training and ongoing maintenance and tuning. It has been used in a variety of enterprise applications that can help in assisting or performing automated decision making operations. Companies that have been integrating decision management through inhibiting AI technology are: Advanced Systems Concepts, Informatica, Maana, Pegasystems, UiPath.
The revolutionary AI technology has given birth to deep learning platforms which consist of artificial neural networks with multiple abstraction layers. It has been primarily used in pattern recognition and classification applications supported by large data sets. Companies using these Deep Learning Platforms are: Deep Instinct, Ersatz Labs, Fluid AI, MathWorks, Peltarion, Saffron Technology, Sentient Technologies.
It enables more natural interactions between humans and machines, not limited to human touch and recognition. It has been primarily used in market research. It has been used by companies such as 3VR, Affectiva, Agnitio, FaceFirst, Sensory, Synqera, Tahzoo.
To automate human action using scripting and other methods to support business processes. Currently the version that has been used is either way too expensive or inefficient for humans to execute a task or process. The version has been used by companies such as: Advanced Systems Concepts, Automation Anywhere, Blue Prism, UiPath, WorkFusion.
Natural language processing (NLP) supports text analytics by facilitating the understanding of sentence structure and meaning, sentiment, and intent through statistical and machine learning methods.
From the above stated AI technologies, I can configure that there are many benefits that can be proclaimed from AI as a technology in the picture. Many businesses have already started the adoption of AI and there have been companies who are not even interested in adopting the channelising change that AI can bring into the process of web development.
For those companies, the blog can be an eyeopener for them to understand the emergence of AI in web development and other related fields.
In the blog, I can certainly conclude one thing that AI has been reshaping in every possible sector. With technology advancements coming in, it is not tough to say that AI has been one of the most powered technologies in recent times. For web app developers, to get a hold of AI algorithms and tools to upbeat their web app development process is the need of the hour.
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I’m Shifa Martin, a technical writer, and IT analyst at ValueCoders. I am profound in writing on all the latest technologies such as Blockchain, AR/VR, Artificial Intelligence and much more.
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