What is AWS Lex? | Amazon Lex
Amazon Lex | AWS Lex
Amazon Lex is a service for building conversational interfaces into any application utilizing voice and text. Amazon Lex gives the advanced deep learning functionalities of Automatic Speech Recognition (ASR) for changing over voice to text, and Natural Language Understanding (NLU) to perceive the purpose of the text, to empower you to construct applications with exceptionally captivating user experience and lifelike conversational collaborations. With Amazon Lex, the similar deep learning technologies that power Amazon Alexa is now accessible to any developer, empowering you to rapidly and effectively build sophisticated, natural language, conversational bots ("chatbots").
Speech recognition and natural language understanding are probably the most challenging issues to unravel in computer science, requiring modern deep learning algorithms to be prepared on an enormous amount of data and infrastructure. Amazon Lex democratizes these deep learning innovations by putting the power of Amazon Alexa close enough for all the developers. Outfitting these technologies, Amazon Lex empowers you to define altogether new categories of products made conceivable through conversational interfaces.
As a completely manageable service, Amazon Lex scales automatically, so you don't have to stress over managing infrastructure. With Amazon Lex, you pay just for what you use. There are no upfront commitments or minimum fees.
Benefits
Ease of Access - Amazon Lex gives an easy-to-use console to direct you through the process of developing your own chatbot in minutes, building conversational interfaces in your applications. You supply only a couple of example phrases and Amazon Lex builds a totally natural language model through which your client can interact utilizing voice and text, to raise queries, find solutions, and complete sophisticated tasks.
Seamless deployment and scaling - With Amazon Lex, you can create, test, and deploy your chatbots legitimately from the Amazon Lex console. Amazon Lex empowers you to effectively publish your voice or text chatbots to mobile devices, web applications, and chat services like Facebook Messenger, Slack, and Twilio SMS. When distributed, your Amazon Lex bot processes voice or text input in conversation with your end-clients. Amazon Lex is a completely managed service so as your client commitment expands, you don't have to stress-over about provisioning hardware and managing infrastructure to power your bot experience.
Built-in integration with the AWS platform - Amazon Lex has original interoperability with different AWS services, like Amazon Cognito, AWS Lambda, Amazon CloudWatch, and AWS Mobile Hub. You can exploit the intensity of the AWS platform for security, monitoring, client authentication, business logic, storage, and mobile app development.
Cost-effectiveness - With Amazon Lex, there are no forthright expenses or minimum charges. You are charged distinctly for the text or speech requests that are made. The pay-as-you-go pricing and the low costs per request make the service a cost-effective approach to building conversational interfaces. With the Amazon Lex free tier, you can undoubtedly try Amazon Lex with no underlying investment.
Some of AWS Lex’s Use Cases
Call Center Bots
By utilizing an Amazon Lex chatbot in your Amazon Connect call center, callers can perform tasks like changing a password, requesting a balance on an account, or scheduling an appointment, without the need of speaking to an agent. These chatbots utilize automatic speech recognition and natural language understanding to perceive the expectation of the caller. They can perceive human speech at an ideal (8 kHz) telephony audio sampling rate, and comprehend the guest's goal without requiring the guest to talk in specific phrases. Amazon Lex utilizes AWS Lambda functions to question your business applications, give data back to the callers, and make updates as requested. Amazon Lex chatbots additionally also maintain context and deal with the dialogue, dynamically adjusting responses based on the conversation.
Use an Amazon Lex chatbot for natural conversations in your Amazon Connect contact center
Informational Bots
You can utilize Amazon Lex to create chatbots for everyday consumer requests, like getting the latest news updates, game scores, or climate. After you build your Amazon Lex bot, you can deploy them on cell phones, chat services, and IoT gadgets, with support for rich message formatting.
Build an Amazon Lex bot that allows patients to book appointments
Application Bots
Amazon Lex's high-quality speech recognition and natural language understanding capabilities make it conceivable to construct incredible interfaces to mobile applications. You can include a voice or text chat interface to make bots on mobile devices that can assist clients with numerous basic tasks, like accessing their bank account, calling a cab, booking tickets, ordering food. Amazon Lex integrates with Amazon Cognito so you can control user management, authentication, and sync across all devices.
Get your banking information through an Amazon Lex chatbot
Enterprise Productivity Bots
You can utilize Amazon Lex to build enterprise chatbots that streamline normal work activities and improve organizational efficiencies. For instance, employees can check sales data from Salesforce, and customer service status from Zendesk, marketing performance from HubSpot, straightforwardly from their chatbots in practically no time. With Amazon Lex, you can build your bots to interface with a variety of enterprise business productivity tools through AWS Lambda functions.
Build your Amazon Lex bot to connect to your enterprise applications to get marketing data
Internet Of Things (IoT)
With Amazon Lex, you can build highly interactive and conversational user experiences for connected devices in the quickly developing fragment of the Internet of Things (IoT). This opens doors for completely new categories of conversational Products in an assortment of markets – from cars and devices to wearables and appliances.
Use Amazon Lex bots as a vehicle for teaching and exploration