Overview of Amazon Web Services AWS Whitepaper
natural language understanding (NLU) to recognize the intent of the text, to enable you to build
applications with highly engaging user experiences and lifelike conversational interactions, and
create new categories of products. 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 (“chatbots”) and voice enabled interactive
voice response (IVR) systems.
Amazon Lex enables developers to build conversational chatbots quickly. With Amazon Lex, no
deep learning expertise is necessary—to create a bot, you just specify the basic conversation
flow in the Amazon Lex console. Amazon Lex manages the dialogue and dynamically adjusts the
responses in the conversation. Using the console, you can build, test, and publish your text or
voice chatbot. You can then add the conversational interfaces to bots on mobile devices, web
applications, and chat platforms (for example, Facebook Messenger). There are no upfront costs or
minimum fees to use Amazon Lex - you are charged only for the text or speech requests that are
made. The pay-as-you-go pricing and the low cost per request make the service a cost-effective
way to build conversational interfaces. With the Amazon Lex free tier, you can easily try Amazon
Lex without any initial investment.
Amazon Lookout for Equipment
Amazon Lookout for Equipment analyzes the data from the sensors on your equipment (such as
pressure in a generator, flow rate of a compressor, revolutions per minute of fans), to automatically
train an ML model based on just your data, for your equipment – with no ML expertise required.
Lookout for Equipment uses your unique ML model to analyze incoming sensor data in real-time
and accurately identify early warning signs that could lead to machine failures. This means you can
detect equipment abnormalities with speed and precision, quickly diagnose issues, take action to
reduce expensive downtime, and reduce false alerts.
Amazon Lookout for Metrics
Amazon Lookout for Metrics uses ML to automatically detect and diagnose anomalies (outliers
from the norm) in business and operational data, such as a sudden dip in sales revenue or customer
acquisition rates. In a couple of clicks, you can connect Amazon Lookout for Metrics to popular
data stores such as Amazon S3, Amazon Redshift, and Amazon Relational Database Service
(Amazon RDS), as well as third-party Software as a Service (SaaS) applications, such as Salesforce,
Servicenow, Zendesk, and Marketo, and start monitoring metrics that are important to your
business. Amazon Lookout for Metrics automatically inspects and prepares the data from these
sources to detect anomalies with greater speed and accuracy than traditional methods used for
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