AWS re:Invent 2017 - Amazon S3 · CON309 - Containerized Machine Learning on AWS Image recognition is a field of deep learning that uses neural networks to recognize the subject and

AWS re:Invent 2017

Product Marketing

November 14, 2017

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re:Invent 2016re:Invent 2017

re:Invent 2017

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徒歩約45分

タクシー約11分

バス約18分

徒歩約35分

Encore - MGM

Venetian - MGM

タクシー約10分

バス約15分

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モノレール 5$ 約25分

タクシー 10～15$ 約10分

シャトルバス無料 約30分路線バス 6$ 約15分

Venetian - MGM

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Harrah’s Sta.

MGM Grd Sta.

12 min

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https://reinvent.awsevents.com/learn/sessions/

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WEDNESDAY, NOV. 29

8:00AM 10:30AM

ANDY JASSY @ THE VENETIAN

THURSDAY, NOV. 30

8:30AM 10:30AM

WERNER VOGELS @ MGM GRAND

WEDNESDAY, NOV. 28

8:00PM 9:30PM

PETER DESANTIS @ THE VENETIAN

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AlexaBig Data

ContainerDatabase

AI/ML

IoTSecurity/

Compliance

Storage

Serverless

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DAT316 - Report from the Field on the PostgreSQL-compatible Edition of Amazon Aurora

Tatsuo Ishii from SRA OSS has done extensive testing to compare the Aurora PostgreSQL-

compatible Edition with standard PostgreSQL. In this session, he will present his performance

testing results, and his work on Pgpool-II with Aurora; Pgpool-II is an open source tool which

provides load balancing, connection pooling, and connection management for PostgreSQL.

Tatsuo Ishii - Japan President, SRA OSS, Inc.

Mark Porter - GM, Aurora PostgreSQL and RDS

CON309 - Containerized Machine Learning on AWS

Image recognition is a field of deep learning that uses neural networks to recognize the

subject and traits for a given image. In Japan, Cookpad uses Amazon ECS to run an image

recognition platform on clusters of GPU-enabled EC2 instances. In this session, hear from

Cookpad about the challenges they faced building and scaling this advanced, user-friendly

service to ensure high-availability and low-latency for tens of millions of users.

Yuichiro Someya - Machine Learning Engineer, Cookpad Inc.

Hokuto Hoshi - Head of Infrastructure, Cookpad Inc.

Asif Khan - Technical Business Development Manager, Amazon Web Services

Database

AI/ML

Alexa

Big Data

AI

ABD201 - Big Data Architectural Patterns and Best Practices on AWS

ABD301 - Analyzing Streaming Data in Real Time with Amazon Kinesis

ABD302 - Real-Time Data Exploration and Analytics with Amazon Elasticsearch Service and Kibana

ABD304 - Best Practices for Data Warehousing with Amazon Redshift & Redshift Spectrum

ABD401 - How Netflix Monitors Applications in Real Time with Amazon Kinesis

ALX301 - 5 AWS services that will super charge your Alexa skill

ALX302 - Alexa and IoTNow with 100% More Voice

ALX304 - Five Ways Artificial Intelligence Will Reshape How Developers Think

ALX306 - Build a Game Skill for the Recently Launched Echo Buttons

ALX307 - Integrate Alexa into Your Product Using the AVS Device SDK

MCL212 - Building Computer Vision Applications

MCL301 - Building a Voice-Enabled Customer Service Chatbot Using Amazon Lex and Amazon Polly

MCL302 - Maximizing the Customer Experience with AI on AWS

MCL303 - Deep DiveDeep Learning with Apache MXNet on AWS

MCL305 - Deep Learning with TensorFlow on AWS

MCL307 - Amazon Polly Tips and TricksHow to Bring Your Text-to-Speech Voices to Life

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Container

Database

Storage

STG301 - Deep Dive on Amazon S3 & Glacier Infrastructure

STG302 - Best Practices for Amazon S3

STG304 - Deep Dive on Data Archiving in Amazon S3 & Glacier

STG305 - Deep Dive on Backup TO the Cloud

STG308 - Hybrid Cloud Data Management: Using Data for Business Outcomes

DAT203 - Running MySQL Databases on AWS

DAT301 - Deep Dive on the Amazon Aurora MySQL-compatible Edition

DAT302 - Deep Dive on Amazon Relational Database Service (RDS)

DAT310 - Which Database to Use When?

DAT403 - Advanced Design Patterns for Amazon DynamoDB

DAT306 - How Twilio Scaled Its Data-Driven Culture

CON206 - Docker on AWS

CON302 - Building a CI/CD Pipeline for Containers on Amazon ECS

CON323 - Microservices Architectures for the Enterprise

CON328 - Building a Development Platform on Amazon ECS

CON408 - Building a Machine Learning Platform Using Containers on AWS

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IoT

Security/Compliance

Serverless

DEM17 - Digital Transformation with IoT, Cybersecurity, and Cloud Connectivity Solutions

DEM02 - DevSecOps on AWS

SID201 - IAM for EnterprisesStriking the Balance Between Agility, Governance, and Security in Your

IAM Design

SID313 - Continuous Compliance on AWS at Scale

IOT203 - Getting Started with AWS IoT

IOT308 - One Message to a Million Things - Done in 60 seconds with AWS IoT

IOT318 - AWS IoT and AWS Greengrass - How Low You Can Go

IOT324 - Best Practices for Connected Home Automation Platforms on AWS

IOT329 - AWS Greengrass Advanced Workshop

SRV301 - Optimizing Serverless Application Data Tiers with Amazon DynamoDB

SRV305 - What's New in Serverless

SRV310 - Designing Microservices with Serverless

SRV322 - Migration to Serverless: Design Patterns and Best Practices

SRV403 - Serverless Authentication and Authorization: Identity Management for Serverless

Applications

セッションカタログ https://www.portal.reinvent.awsevents.com/connect/search.ww

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みどころ④ ～ スポンサーブース

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みどころ⑤ ～ Learning & Relax

集中学習

レクリエーション

同時開催

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ネットワーキング

現地に持っていくと便利なモノ

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Enjoy AWS re:Invent!

See you in Las Vegas!