Amazon Launches Bot Framework Lex To Extend Deep Learning To Developers

What Happened
Earlier today at its re:Invent developer event, Amazon announced a series of updates to its  Amazon Web Services (AWS), the biggest public cloud infrastructure provider at the moment. Most notably, the Seattle-based company also introduced Amazon Lex, a bot framework akin to the one Microsoft debuted earlier this year, to extend the deep learning technologies that power Alexa to developers. With Lex’s deep learning functionalities of automatic speech recognition (ASR) and natural language understanding (NLU),  brands can work with developers to build sophisticated conversational interfaces into any application using voice and text.

What Brands Should Do
What truly sets Amazon Lex apart from the existing bot-building frameworks is that it allows developers to tap into the deep learning technologies powering Alexa, Amazon’s leading voice-based personal assistant service. The ecommerce giant has reportedly sold more than 5 million Alexa-enabled Echo smart speakers since launch, and as the company continues to make strong pushes for its hardware products, more and more mainstream consumers will soon become reachable via Alexa. By leveraging Lex, brands will be able to build advanced applications with highly engaging user experiences and lifelike conversational interactions.

The Lab has extensive experience with building chatbots and Alexa skills for brands. The new Messenger bot we build in collaboration with Ansible for Kia delivers comprehensive product information about the all-new Niro model via friendly chats. We are very excited to explore the new possibilities that Amazon Lex is set to unleash and work with our clients to navigate the new realities that conversational interfaces are set to bring. If you’re interested in learning more about this or have a client opportunity, please reach out to our Client Services Director Samantha Holland (samantha@ipglab.com) to schedule a visit to the Lab.

 


Source: VentureBeat