As companies across the board begin to deploy personal assistant chatbots, the toolbox necessary to build individualised and custom-made assistants, are now moving to the cloud, in a bid to help developers embed the technology in their products. Right at the top of the heap, is Amazon Lex, the speech recognition and natural language processing solution, that’s driving the company’s Alexa personal assistant, and also finds use in the Amazon Echo and Fire TV products.
Definitions and basic ideas
So what’s the story behind Amazon Lex?
To start with, Amazon Lex is a cloud-focused automatic speech recognition and natural language assimilation service, as mentioned. It is ready for integration with other cloud products, for the creation of virtual assistants, meant for specific tasks.
For businesses looking to automate regular transactional tasks or every day customer support schedules, the Amazon Lex is a good fit, easily becoming a critical element in their customised chatbot.
While having being in development since 2010, the Amazon Lex was made available as an API, from November, 2016.
Unboxing the Amazon Lex
For the layman, the Amazon Lex is simply the made-for-public-consumption version of the tech, powering Alexa’s natural language understanding (NLU) and automatic speech recognition (ASR) capabilities. Amazon Lex helps programs imbibe, assess, and process natural human language, ushering in varied and enriched interactions.
It can be used as part of a design template for chatbots, spanning a number of scenarios, such as application/transactional bots (consider, placing an order or making a reservation via a chatbot), customer support services, and as a control bot for Internet-of-Things (IoT) devices.
If you’re looking at possible competitors, Hewlett Packard has launched IDOL, offering personalised knowledge implementation capacities, along with natural language processing.