디지털혁신을위한기술 그리고인재상 - kosta kosta keynote.pdfai/machine learning on...

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

김효정 솔루션즈 아키텍트/상무, AWS

2018 Feb. 23

디지털혁신을위한기술그리고인재상


목차

• 모두를 위한 혁신(Innovation for everyone)

• 새로운 통찰력의 발견(Unlocking new today)

• 클라우드, AI 그리고 데이터 중심 문제 해결(Cloud, AI, Data-driven problem solving)

• 디지털 혁신을 위한 인재상(Leadership principles)

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

모두를 위한 혁신(Innovation for everyone)


The

Institutional

YES!

INNOVATION AT THE EDGE

Enable everyone to innovate


https://www.youtube.com/watch?v=l01sdzJHCCM

https://www.youtube.com/watch?v=l01sdzJHCCM


The

Institutional

YES!

Translating Sign Language to Speech

• Bluetooth enabled gloves

• Records hand position and

movement

• Uses deep learning to

match gestures with words

• Text to speech


새로운 통찰력의 발견(Unlocking new today)


Fulfilment &

Logistics

Amazon 그리고 고객 중심 혁신



Fulfilment &

Logistics

Search &

Discovery



Fulfilment & Lo

gisticsExisting

Products

Search & Disco

very



Fulfilment &

LogisticsExisting

Products

New

Products

Search &

Discovery

https://www.youtube.com/watch?v=vNySOrI2Ny8



Edge compute allows for real-time

decisions to be made in-vehicle, driven by

computer vision and deep learning

Sense and Avoid Technology




https://www.youtube.com/watch?v=FQn6aFQwBQU

https://www.youtube.com/watch?v=FQn6aFQwBQU


https://www.youtube.com/watch?v=9X_fP4pPWPw

https://www.youtube.com/watch?v=9X_fP4pPWPw


https://www.youtube.com/watch?v=XUoi5OnAO2Y

https://www.youtube.com/watch?v=XUoi5OnAO2Y


https://www.youtube.com/watch?v=NrmMk1Myrxc

https://www.youtube.com/watch?v=NrmMk1Myrxc


클라우드, AI, 데이터 중심 문제 해결(Cloud, AI, Data-driven problem solving)


AWS 플랫폼 - 서비스로서 제공되는 혁신(Innovation as a service)

CORE SERVICES

Integrated Networking

Rules Engine

Device Shadows

Device SDKs

Device Gateway

Registry

Local Compute

Custom Model

Training & Hosting

Conversational Chatbots

Virtual Desktops

App Streaming

Schema Conversion

Image & Scene Recognition

Sharing & Collaboration

Exabyte-Scale

Data Migration

Text to Speech

Corporate Email Application Migration

Database Migration

Regions

Availability Zones

Points of Presence

Data Warehousing

Business Intelligence

Elasticsearch

Hadoop/Spark

Data Pipelines

Streaming Data

Collection

ETLStreaming Data

Analysis

Interactive SQL

Queries

Queuing & Notifications

Workflow

Email

Transcoding

Deep Learning(Apache MXNet,

TensorFlow, & others)

Server MigrationCommunications

MARKETPLACE

Business Apps Business Intelligence DevOps Tools Security Networking StorageDatabases

API Gateway

Single Integrated Console

Identity

Sync

Mobile Analytics

Mobile App Testing

Targeted Push Notifications

One-click App Deployment

DevOps Resource Management

Application Lifecycle Management

Containers

Triggers

Resource Templates

Build & Test

Analyze & Debug

Identity Management

Key Management

& Storage

Monitoring & Logs

Configuration Compliance

Web Application Firewall

Assessment

& Reporting

Resource & Usage Auditing

Access Control

Account Grouping

DDOS

Protection

TECHNICAL & BUSINESS SUPPORT

SupportProfessional

ServicesOptimization Guidance

Partner

EcosystemTraining & Certification

Solutions Management Account ManagementSecurity & Billing Reports

Personalized Dashboard

Monitoring

Manage Resources

Data Integration

Integrated Identity & Access

Integrated Resource & Deployment Management

Integrated Devices& Edge Systems

Resource Templates

Configuration Tracking

Server Management

Service Catalogue

Search

MIGRATIONHYBRID ARCHITECTUREENTERPRISE APPSMACHINE LEARNINGIoTMOBILE SERVICESDEV OPSANALYTICS

APP SERVICES

INFRASTRUCTURE SECURITY & COMPLIANCE MANAGEMENT TOOLS

ComputeVMs, Auto-scaling, Load Balancing, Containers,

Virtual Private Servers,

Batch Computing, Cloud

Functions, Elastic GPUs,

Edge Computing

StorageObject, Blocks, File, Archivals, Import/Export, Exabyte-scale

data transfer

CDN

DatabasesRelational, NoSQL, Caching, Migration,

PostgreSQL compatible

NetworkingVPC, DX, DNS

Facial Recognition & Analysis

Facial Search

Patching

Contact Center


Deep Learning will enable AI

Eventually everything connects

IoT / Mobile / Cameras / APIs

Large amounts of data will be

processed in real-time


Perform tasks which normally require human intelligence and the ability for a computer system to adapt to humans

and interact in a natural manner, rather than humans adapting to a system


AI/Machine Learning on AWSApplication Developers

Amazon Rekognition

Amazon Machine Learning

Amazon Polly

Amazon LexNatural Language Understanding (NLU)

& Automatic Speech Recognition (ASR)

Image and Video Recognition & Analysis

Text-to-Speech

Managed Machine Learning

AWS Deep Learning AMIUse and scale deep learning

frameworks quickly and easily

Data Scientists & ResearchersAmazon SageMakerFully managed end-to-end machine learning

service

Amazon TranscribeAutomatic speech recognition (ASR)

Amazon TranslateNeural machine translation service

Amazon ComprehendDiscover insights and relationships in text

AWS DeepLens

Amazon EC2 P3 instances provide

6X better performance than any

other GPU-based instances in the

market today.


Extract rich metadata from visual content

Object and Scene

DetectionFacial

Analysis

Face

Comparison

Facial

Recognition

Celebrity

Recognition

Image

Moderation

Amazon Rekognition


Rekognition: Object & Scene Detection


Rekognition: Facial Detection


Rekognition: Facial Comparison


Rekognition: Facial Search


Amazon Rekogn i t ion Video

Features



Object, Scene and Activity Detection

Blowing a candle Drinking



Activity recognition



Person Tracking



Live Streaming Face Recognition


Data-Driven Problems

Building a ML system

• Data pre-processing, training, AB testing, model hosting, retraining

• How do I select the right algorithm?

• How do I tune the right variables?

• Are Spark ML algorithms well baked?

• DL algorithms are hard to use


Data Visualization &

Analysis

Business Problem –

Data Collection

Data Integration

Data Preparation &

Cleaning

Feature Engineering

Model Training &

Parameter Tuning

Model Evaluation

Are Business

Goals met?

Model Deployment

Monitoring &

Debugging

– Predictions

YesNo

Data

Augm

enta

tio

n

Fe

atu

re

Augm

enta

tio

n

Re-training

ML problem framing

머신러닝 프로세스



Analysis


Data Collection

Data Integration

Data Preparation &

Cleaning

Feature Engineering

Model Training &

Parameter Tuning

Model Evaluation

Are Business

Goals met?

Model Deployment

Monitoring &

Debugging

– Predictions

YesNo

Data

Augm

enta

tio

n

Fe

atu

re

Augm

enta

tio

n

Re-training

ML problem framing

탐색: 분석

•정확한질문을만들는데도움을주는것• Domain Knowledge



Analysis


Data Collection

Data Integration

Data Preparation &

Cleaning

Feature Engineering

Model Training &

Parameter Tuning

Model Evaluation

Are Business

Goals met?

Model Deployment

Monitoring &

Debugging

– Predictions

YesNo

Data

Augm

enta

tio

n

Fe

atu

re

Augm

enta

tio

n

Re-training

ML problem framing

통합: 데이터 아키텍처

•데이터플렛폼구현• Amazon S3

• AWS Glue

• Amazon Athena

• Amazon EMR

• Amazon Redshift Spectrum



Analysis


Data Collection

Data Integration

Data Preparation &

Cleaning

Feature Engineering

Model Training &

Parameter Tuning

Model Evaluation

Are Business

Goals met?

Model Deployment

Monitoring &

Debugging

– Predictions

YesNo

Data

Augm

enta

tio

n

Fe

atu

re

Augm

enta

tio

n

Re-training

ML problem framing

왜 SageMaker를 만들었나 – 학습 환경 제공

• 노트북환경구성및관리

• 학습클러스터구성및관리

• 데이터커넥터작성

• 대용량데이터를수용할수있는확장성있는 ML 알고리즘

• 여러노드를사용할수있는분산 ML 학습알고리즘

• 모델결과물에대한보안



Analysis


Data Collection

Data Integration

Data Preparation &

Cleaning

Feature Engineering

Model Training &

Parameter Tuning

Model Evaluation

Are Business

Goals met?

Model Deployment

Monitoring &

Debugging

– Predictions

YesNo

Data

Augm

enta

tio

n

Fe

atu

re

Augm

enta

tio

n

Re-training

ML problem framing

왜 SageMaker를 만들었나 – 배포 환경 제공

• 인퍼런스클러스터구성및운영

• 인퍼런스 API를확장성있게구성하고운영하기

• 모델예측결과에대한모니터링과디버깅

• 모델버저닝과성능추적

• 새로운모델을운영환경에A/B 테스팅형태로배포


Amazon SageMaker

완전 관리 및자동 스케일링

배포

원클릭 배포

생성

JupyterNotebook 기반

서비스

고성능알고리즘미리 제공

원클릭데이터훈련

훈련

Hyperparameter최적화

데이터과학자와개발자들이스마트어플리케이션에사용될머신러닝기반의모델을빠르고쉽게만들도록해주는

완전관리형서비스


Amazon Machine Learning - Managed machine learning service

• Easy to use, managed machine learning service built

for developers

• Classification

Sentiment analysis – Do people like my new product?

• Linear Regression

Trend prediction – How much revenue next month?

• Clustering

Recommendation - Other people bought this!

• Association

Market basket analysis – Bundled products

• Use data in Amazon S3, Amazon RDS or Amazon

Redshift

• Provides batch or real-time predictions

Amazon Machine

Learning


AWS DeepLens : DL-enabled video camera

Develop ML skills using hands-on computer vision tutorials and

pre-built models

https://youtu.be/qRJwvo94-Ko?t=417

https://youtu.be/qRJwvo94-Ko?t=417


기존의 컴퓨터 비전 클라이언트 개발 환경

Rasberry Pi PC (Laptop) 스마트폰


AWS DEEPLENS는단지 비디오 카메라가

아닙니다 .

…세계 최초의딥러닝 활용가능한

개발자 키트입니다 .


디지털 혁신을 위한 인재상(Leadership principles)

Amazon

Leadership

Principles

Customer Obsession

Ownership

Invent and Simplify

Are Right, A Lot

Learn and Be Curious

Hire and Develop the Best

Insist on the Highest Standards

Think Big

Bias for Action

Frugality

Earn Trust

Dive Deep

Have Backbone; Disagree and Commit

Deliver Results

2 Pizza Teams


”미래는이미우리곁에와있다. 단지널리퍼져있지않을뿐이다”

-윌리엄깁슨

Nikola Tesla, 1926

“무선통신기술이완벽하게

적용된다면, 지구는하나로연결된

거대한하나의브레인을갖게될

것입니다…”


IoT & 에지 컴퓨팅

+

무선 & 모바일 테크놀로지+

머신 러닝 & AI


지속적실험(Experiment Continuously)

+모든것을측정(Measure Relentlessly)

+학습(Learn)


감사합니다!

디지털혁신을위한기술 그리고인재상 - kosta kosta keynote.pdfai/machine learning on...

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