“A year spent in Artificial Intelligence is enough to make one believe in God – Alan Perlis”
Internet has evolved a lot since its birth and it has made the web development evolve as well – website building was a very easy process that involved nothing more than pages of standard texts with few pictures and font variation. Fast forward a decade; society was gifted with standard web connections which enabled website to develop on HTML and PHP, included graphics and animated design elements. Fast forward another two decades – today with the advancement of technologies, web development consist of mix of images and audio visual content designed to deliver the best user-experience rather than just information.
As per the recent news, humanoid robot Sophia has been made a citizen of Saudi Arabia. Was that something ever expected? Additionally, Gartner predicts, “By 2020, customers will manage 85% of their relationship with the enterprise without interacting with a human”.
So, here the question arises, with whom will they interact? The answer is quite simple – via Artificial Intelligence (AI); i.e. simulation of human intelligence processes by machines that includes learning, reasoning and self-correction. For instance: Siri, Cortana, Chat-bots, self-driving cars etc are delivering optimal user-experience with the help of AI.
Today, as web-development focuses on enhancing user-experience; small, medium as well as large enterprises are looking forward to leverage the power of Artificial Intelligence for providing personalization and boost their web-experience.
Why it is important?
Let’s check-out how Artificial Intelligence is changing the scenario of web-development:
A predictive reply is the process of interaction between user and machines. Machine fails to understand the human’s emotion but Artificial Intelligence can understand the same and responds accordingly. This helps in getting quick answers, making it easy for the customers and business to resolve their queries. Recently, Google updated the Gmail app with an AI-driven “Smart Reply” feature that predicts responses you may want to send. The feature uses machine learning algorithm to analyze your emails and suggest quick, bite-sized responses you may want to send. What it does is, it tries to understand the email message and predicts what preferable responses you can give. Chatbots powered by AI, interacts with the user in a natural way leaving no scope of misunderstanding and enriching user-experience. To be precise, you can create websites or web-enabled devices that can communicate like a human in an effective manner.
Voice-based search empowered with Artificial Intelligence is the key-driver in enabling seamless voice conversation between users and website. Siri, Cortana, Alexa can do virtually anything from assisting you to set the alarms, schedule meetings, controlling and checking the status of smart-home devices, make and receive phone calls, get directions etc. As the user interacts with the virtual assistant, they can learn about your voice, intent, preferences and much more as the AI backend code uses the sophisticated algorithm to learn from the data input; predicting the user’s need in a better way. And by doing this, it learns how to work with you better as well as serve you in an enhanced way. Virtual assistance can be an integral part for all e-commerce web players to enhance web-experience and shopping in a smarter way. Digital Assistance also maintains privacy policies, which defines how each company uses and share personal information.
Machine learning technology – the element of Artificial Intelligence has come along a broader way to provide customization in websites and personalization to the users. It predicts the user’s intention by analyzing previous activities and accordingly adjusts messages based on the interactions and behaviors. Machine learning make use of algorithms to make computers learn without being explicitly programmed. Through machine learning the application analyze data that helps to automate the analytical model building, enabling the systems to find hidden insights. It applies complex mathematical calculations to the big data – over and over, faster and faster to predict the future problem and preventing them from occurring.
Some popular scenarios of machine learning used in web application are:-
-Online recommendation offers from Amazon, eBay etc
-Spam detection in form submissions
It is easily said ‘Trigger the right message to the right buyer’, but doing it is altogether a different challenge. In this digital era, which is the best way to present the relevant content to every person who engages with your brand? The precise answer is, through Artificial Intelligence. It helps the web-marketers to create the relevant content for their audience at every phase of marketing funnel. With the help of algorithms, robust analysis and scrutinizing the data of competitors, it is easier to gather information about target audience which includes what their likes and preferences. With such insights, you can curate your content and provide relevant answers to boost customer engagement and rank high on conversions.
Retailers use Artificial Intelligence to analyze the customer data in order to gain insights about customer’s behavior. It provides the personalized approach to each customer by offering shopping recommendations, deals, discounts and much more. Chat-bots, an extremely multi-faceted tool, is able to detect the tone of the user’s message and determines the best way of responding. AI enables online retailers to boost sales and forecast demand, to gain a better understanding of consumer behavior.
Wrapping it up
Artificial Intelligence is an advanced and decisive technology which adds value to the user experience and organizations. In the coming years, AI will play a crucial role in bringing the web and user close to each other.
Do you want to enhance the user experience of your webs application? Get in touch with us and we will get back to you with the most robust solution.