AWS Announces Three New Amazon AI Services Amazon Lex, the technology that powers Amazon Alexa, enables any developer to build rich, conversational user experiences for web, mobile, and connected device apps; preview starts today
Amazon Polly transforms text into lifelike speech, enabling apps to talk with 47 lifelike voices in 24 languages
Amazon Rekognition makes it easy to add image analysis to applications, using powerful deep learning-based image and face recognition
Capital One, Motorola Solutions, SmugMug, American Heart Association, NASA, HubSpot, Redfin, Ohio Health, DuoLingo, Royal National Institute of Blind People, LingApps, GoAnimate, and Coursera are among the many customers using these Amazon AI Services
SEATTLE--(BUSINESS WIRE)--Nov. 30, 2016-- Today at AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced three Artificial Intelligence (AI) services that make it easy for any developer to build apps that can understand natural language, turn text into lifelike speech, have conversations using voice or text, analyze images, and recognize faces, objects, and scenes. Amazon Lex, Amazon Polly, and Amazon Rekognition are based on the same proven, highly scalable Amazon technology built by the thousands of deep learning and machine learning experts across the company. Amazon AI services all provide high-quality, high-accuracy AI capabilities that are scalable and cost-effective. Amazon AI services are fully managed services so there are no deep learning algorithms to build, no machine learning models to train, and no up-front commitments or infrastructure investments required. This frees developers to focus on defining and building an entirely new generation of apps that can see, hear, speak, understand, and interact with the world around them. To learn more about Amazon Lex, Amazon Polly, or Amazon Rekognition, visit: https://aws.amazon.com/amazon-ai
Until now, very few developers have been able to build, deploy, and broadly scale apps with AI capabilities because doing so required access to vast amounts of data, and specialized expertise in machine learning and neural networks. Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models. And this process must be repeated for every object, face, voice, and language feature in an application. Amazon AI services eliminate all of this heavy lifting, making AI broadly accessible to all app developers by offering Amazon's powerful and proven deep learning algorithms and technologies as fully managed services that any developer can access through an API call or a few clicks in the AWS Management Console. Amazon AI services make the full power of Amazon's natural language understanding, speech recognition, text-to-speech, and image analysis technologies available at any scale, for any app, on any device, anywhere.
The combination of better algorithms and broad access to massive amounts of data and cost-effective computing power provided by the cloud is making AI a reality for application developers. AWS is home to some of the most innovative and creative AI applications in use today, said Raju Gulabani, VP, Databases, Analytics, and AI, AWS. Thousands of machine learning and deep learning experts across Amazon have been developing AI technologies for years to predict what customers might like to read, to drive efficiencies in our fulfillment centers through robotics and computer vision technologies, and to give customers our AI-powered virtual assistant, Alexa. Now, we are making the technology underlying these innovations available to any developer in the form of three fully managed Amazon AI services that are easy to use, powerful, and cost effective. We are excited to see how customers use Amazon Lex, Amazon Polly, and Amazon Rekognition to build a new generation of apps that have human-like intelligence and can see, hear, speak, and interact with people and their environments.
Intelligent conversations with Amazon Lex
Amazon Lex is a new service for building conversational interfaces using voice and text that is built on the same automatic speech recognition (ASR) technology and natural language understanding (NLU) that powers Amazon Alexa. Amazon Lex makes it easy to bring sophisticated, natural language capabilities to virtually any app. Developers can build and test bots (conversational apps that perform automated tasks like checking the weather or booking flights) directly from the AWS Management Console by typing in a few sample phrases (e.g., find a flight, or book a flight ) along with instructions for getting the required parameters to complete task (e.g., travel date and destination) and the corresponding clarifying questions to ask the user (e.g., when do you want to travel? and where do you want to go? ). Amazon Lex takes care of the rest, building the language model and asking the follow-up questions needed to complete the task. Because Amazon Lex is integrated with AWS Lambda, developers can configure Amazon Lex to invoke the appropriate backend service (e.g., the flight booking service) through an AWS Lambda function. Developers can also use pre-built enterprise connectors that execute AWS Lambda functions to answer questions like what are my top 10 accounts in Salesforce.com, by fetching data from enterprise systems like Salesforce, Microsoft Dynamics, Marketo, Zendesk, QuickBooks and HubSpot.
Bots built using Amazon Lex can be used anywhere: from web applications, to chat and messenger apps like Slack and Facebook Messenger, or through voice in apps on mobile or connected devices
