JAWS-UGで発表した「上司を説得してAWSを使わせる3つのポイント」プレゼンテーションです。
せっかくAWS(Amazon Web Services)が良いサービスだと分かっても、上司が納得してくれなければ導入できません。このプレゼンテーションでは、エンジニアの方が、どうやってAWSのメリットを上司や顧客、先生に伝えるのか?というポイントについてアイディアをご提供しています。
JAWS-UGで発表した「上司を説得してAWSを使わせる3つのポイント」プレゼンテーションです。
せっかくAWS(Amazon Web Services)が良いサービスだと分かっても、上司が納得してくれなければ導入できません。このプレゼンテーションでは、エンジニアの方が、どうやってAWSのメリットを上司や顧客、先生に伝えるのか?というポイントについてアイディアをご提供しています。
AWS January 2016 Webinar Series - Getting Started with Big Data on AWSAmazon Web Services
With hundreds of new and sometimes disparate tools, it’s hard to keep pace. Amazon Web Services provides a broad and fully integrated portfolio of cloud computing services to help you build, secure and deploy your big data applications.
Attend this webinar to get an overview of the different big data options available in the AWS Cloud – including popular big data frameworks such as Hadoop, Spark, NoSQL databases, and more. Learn about ideal use cases, cases to avoid, performance, interfaces, and more. Finally, learn how you can build valuable applications with a real-life example.
Learning Objectives:
Learn about big data tools available at AWS
Understand ideal use cases
Learn some of the key considerations such as performance, scalability, elasticity and availability, when selecting big data tools
Who Should Attend:
Data Architects, Data Scientists, Developers
Branding Engineer様主催のAWSイベントの登壇資料です。"Undifferentiated Heavy Lifting"の排除、Amazon DSSTNEのご紹介、AWS Solutions Architect の活用方法、AdTech on AWS、Startup on AWSなどについてお話させていただきました。
21. 21
Amazon Rekognition
Deep learning-based image recognition service
Search, verify, and organize millions of images
Object and Scene
Detection
Facial
Analysis
Face
Comparison
Facial
Recognition
27. 27
Polly – Language Portfolio
Americas:
• Brazilian Portuguese
• Canadian French
• English (US)
• Spanish (US)
A-PAC:
• Australian English
• Indian English
• Japanese
EMEA:
• Danish
• Dutch
• British English
• French
• German
• Icelandic
• Italian
• Norwegian
• Polish
• Portuguese
• Romanian
• Russian
• Spanish
• Swedish
• Turkish
• Welsh
• Welsh English
28. 28
Text and Speech Language Understanding
Speech
Recognition
Natural Language
Understanding
Powered by the same Deep Learning technology as Alexa
31. 31
Mobile Hub
SaaS Connector
Amazon API
Gateway
AWS
Lambda
Amazon API
Gateway
AWS
Lambda
Mobile Hub
Custom Connector
Business
Application
Firewall
Mobile App Amazon Lex
Enterprise SaaS Connectors with Mobile Hub
AWS
Lambda
“ Alexa play Bruno Mars from Prime Music”
“Alexa, turn on the lights”
“ Alexa, order an Echo dot”
Echoの根本はクラウド上の音声認識エンジンであるAlexa
クラウド上にあるが故に、
a)音声認識自体が向上する
b)様々なデバイスに展開できる
c)3rd partyのデベロッパーが機能を追加できる
デバイスの広がりもあるし、更にSkillの広がりもある
Introducing Amazon Rekognition - a fully managed deep learning based image recognition service. Rekognition was designed from the get-go to run at scale. It comprehends scenes, objects, concepts and faces. Given an image, it will return a list of labels. Given an image with one or more faces,it will return bounding boxes for each face, along with face attributes. Given two images with faces, it will compare the largest face from the source image and find similarity with faces found in the tagret image. Rekognition provides quality face recognition at scale, and supports creation of collection of millions of faces and search of similar faces in the collection.
Now lets dive into each of these features and look at the API that support these features.
Several architectures such as convolutional deep neural networks (CNNs), and recurrent neural networks have been applied to computer vision.
10min.
On this slide we present languages offered by Amazon Polly so 24 languages. Regions marked with orange on this map are regions where one of our languages is commonly used so those are regions where you can dleiver your app using Amazon Polly.