Think of Amazon Lex as the tip of the iceberg with the 200+ other AWS services underneath the water, waiting and ready. Plus, it places you within the AWS ecosystem, where you can seamlessly integrate to the entire AWS world. As a managed service, it's easy to use and relatively cheap from a running cost perspective. If a chatbot isn't booking your appointments, assisting in medical diagnoses, handling your reservations or letting your users know about their bank balances or recent transactions, then the odds are you are spending more money doing this another, less-efficient way.Īs a genuine fan of Amazon Lex, I believe the benefits are extraordinary. We're noticing an upward trend of call centers adopting chatbots to remain competitive and increase efficiency, but there are so many other domains that need to get into the chatbot game - from finance and e-commerce, to travel, healthcare and real estate.
Not to mention you only pay for what you use with no upfront fees or commitments. It is also a fully managed service which means you don't have to worry about the underlying infrastructure, and it scales automatically. Amazon Lex is also backed by NLU and deep learning with very little machine learning expertise required, which allows the bot to continually learn over time. In layman's terms, Amazon Lex is a conversational chatbot that you can interact with and receive automated responses from based on the questions asked. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots, known as “ chatbots.” Combined, these capabilities enable you to build applications with highly engaging user experiences and lifelike conversational interactions. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text and natural language understanding (NLU) to recognize the intent of the text. Conversational AI in combination with other cloud AI services can expand your chatbot’s capabilities to verbally respond to users, translate text into their native language, understand the context of their questions and deliver personalized recommendations.Įnter Amazon Lex, an AWS service for building conversational interfaces into any application using voice and text. Some of the more complex benefits allow you to obtain valuable insights on your data, gain knowledge on your inventory and significantly improve user experience for your clients. It’s fairly easy to build an initial proof of concept chatbot using conversational AI services that can show the “powers that be” the benefit of having a chatbot on the frontline of your contact center, an FAQ bot for your clients to get quick responses to common questions, or a business intelligence bot for your business and IT stakeholders to retrieve insights by asking questions regarding day-to-day activities. Chatbots have become increasingly popular, allowing you to improve customer service with 24-hour assistance, increase customer engagement with immediate, relevant answers to customer questions, and optimize cost and productivity with automation.įrom within our data science and engineering practice at Rackspace Technology, I regularly talk to clients who want to implement chatbots into their business.
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