Over the past few years, AI has become the number 1 trend in the tech industry and it’s easy to see why. With powerful generative AI models like GPT4, we are starting to experience what AI can really do. Fast forward to the present, many businesses rely on AI to improve their efficiency and optimize their expenses. With our growing application, we can utilize AI to give a better user experience and grow our user base. Welcome to the bonus part of my 6-part series called Basics of the Basics to AWS, where I introduce you to AWS by breaking it down into smaller digestible concepts related to software development. 

In this article, I will be talking about AWS Machine Learning and AI Services. This will be a short article on how we can improve our application with Machine Learning and AI. Let’s get started!

Amazon Translate and Amazon Lex

Global Accessibility

Our application is now ready – for English-speaking users. Our application is mostly in English. This was alright because English is regarded as one of the languages with the most speakers, but if we really want to drive many more users to access our application, we need a way to translate our content to multiple languages. For this reason, we will be using Amazon Translate. From the name itself, Amazon Translate literally translates texts to any language. This allows us to swiftly and efficiently translate our content to multiple languages without having to spend too much on personnel for translation.

User Support

Our application is big and a bit complex. It’s easy for users to get lost in navigating the creaks and crevices of our application, it’s only natural that they have a lot of questions and need a lot of assistance. As we value our users, we want to give them high quality user support service, but we also value our business so we don’t want to overspend. Our users mostly have the same questions and these questions just need repetitive assistance. Spending personnel on user support can be costly, but we can cut costs by using AI to handle the repetitive tasks. Fortunately, we have Amazon Lex. Amazon Lex is an AWS service that allows us to design, build, and deploy chatbots powered by AI. Using these chatbots, users can have real-time support for the frequently asked questions and a bit more assistance for less frequent concerns.

Congratulations! We now have a fully functional application that also cares for its users. As I’ve said in the introduction of this series, I hope you are inspired enough to really dive into AWS and even build your own applications with the model that we’ve talked about in this article. Thank you so much for sticking with this series all throughout and I wish you good luck in your journey with AWS!