엔터프라이즈의 인공지능(AI)과 머신러닝(ML) 적용은 왜 어려울까요? 성공적인 AI과 ML 적용. 베스핀글로벌의 웨비나 자료를 통해서 Amazon AI/ML에 대해 알아보세요. [Agenda] 1. Machine Learning at Amazon 2. Machine Learning on AWS - Frameworks and Interfaces - AWS ML Platform services - AWS ML Application services

1. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

2. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon AI/ML Overview
남궁영환 AI/ML Specialist Solutions Architect
Amazon Web Services

3. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
001. Machine Learning at Amazon
002. Machine Learning on AWS
AGENDA
- Frameworks and Interfaces
- AWS ML Platform services
- AWS ML Application services

4. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Machine Learning at Amazon

5. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
ML @Amazon: 20여년의 역사
S e a r c h &
D i s c o v e r
y
F u l f i l m e n t
&
L o g i s t i c s
E x i s t i n g
P r o d u c t s
N e w
I n i t i a t i v e s

6. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon 주문 및 배송 예측
주문 전/후 예측 시스템 도입
• 고객 정보 및 배송 이력, 물류 창고 위치, 상품 재고
현황 및 상품 위치 파악
• 머신 러닝을 통해 '고객이 주문 전에 배송 계획
예측’
총 주간 예측 500억 회 이상 (2015)

7. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon 배송 센터 - 로봇 기반 패키징 지원
물류센터 KIVA 로봇 도입
• 이동 경로 계산 및 최적화 등에 머신 러닝 기법
활용
• 물류 순환 속도: 15분 (기존 60~75분)
• 재고 공간: 50% 효율성 향상
• 운영비용: 약 20% 절감 효과
미국 내 13개 물류 센터에
15,000개 로봇 시범 도입 (2014)

8. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
KIVA 동영상

9. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Go - 오프라인 쇼핑 경험 혁신
https://www.amazon.com/b?node=16008589011
Just Walk-Out
• 계산대 없이 편리한 쇼핑 경험을 제공하기 위한
기술
• 컴퓨터 비전, 센서 융합 및 딥러닝 알고리즘 활용
2018년 1월 시애틀 1호점을 시작으로
지속적으로 확장 중
(시카고, 뉴욕, 샌프란시스코, 로스앤젤레스, 시애틀 등)

10. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

11. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Alexa 기반 음성 인식 서비스
Active Customers
Up Nearly 5X
Tens of Millions of
Alexa-Enabled Devices

12. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Machine Learning on AWS

13. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
클라우드 산업에서 AWS 리더쉽
44.1%
7.7%
3.0%
2.3%
1.0%
1.4%
0.7%
2.2%
0.5%
0.9%
200억 달러 연간 매출 및
분기별 45% 성장 중
(2017년 4분기 기준)

14. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Machine Learning on AWS
FRAMEWORKS AND INTERFACES
AWS DEEP LEARNING AMI
Apache MXNet TensorFlowCaffe2 Torch KerasCNTK PyTorch GluonTheano
PLATFORM SERVICES
VISION
AWS DeepLensAmazon SageMaker
LANGUAGE
Amazon Rekognition Amazon Polly Amazon Lex
Amazon Rekognition
Video
Amazon Transcribe Amazon
Comprehend
Alexa for
Business
VR/AR
Amazon Sumerian
APPLICATION SERVICES
Amazon Machine Learning Amazon EMR & SparkMechanical Turk
INSTANCES
GPU (G2/P2/P3) CPU (C5) FPGA (F1)
Amazon Translate

15. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS에서 머신 러닝을 구축한 고객 사례

16. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
고급 개발자를 위한 ML 프레임워크 제공
F R A M E W O R K S A N D I N T E R FA C E S
NVIDIA
Tesla V100 GPUs
P3 1 Petaflop of compute
NVLink 2.0
5,120 Tensor cores
128GB of memory
~14X faster than P2
P3 Instance Deep Learning AMI Frameworks
PLATFORM SERVICES
VISION LANGUAGE VR/AR
APPLICATION SERVICES
AWS DeepLensAmazon SageMaker Amazon Machine Learning Amazon EMR & SparkMechanical Turk
AWS DEEP LEARNING AMI
Apache MXNet TensorFlowCaffe2 Torch KerasCNTK PyTorch GluonTheano
INSTANCES
GPU (G2/P2/P3) CPU (C5) FPGA (F1)

17. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon EC2 P3 인스턴스
클라우드에서 가장 빠르고 강력한 GPU 인스턴스
Instance Size GPU
Tesla
V100
GPU
Memory
(GB)
vCPUs Memory
(GB)
Network
Bandwidth
(Gbps)
EBS
Bandwidth
(Gbps)
Price
On-
Demand
(per hr)
p3.2xlarge 1 16 8 61 Up to 10 1.5 $4.981
p3.8xlarge 4 64 32 244 10 7 $19.924
p3.16xlarge 8 128 64 488 25 14 $39.848
• 1 PetaFLOP 연산 성능
– 기존 P2 인스턴스보다 14배 높은 성능
• GPU 간에 300 GB/s 로 통신 (NVLink)
– 기존 P2 인스턴스보다 9배 높은 성능
5,120 CUDA cores [ 640 Tensor cores ]
7.5 FP64 TFLOPS | 15 FP32 TFLOPS
120 TensorTFLOPS
16GB HBM2 @ 900 GB/s
300 GB/s NVLink TESLA V100

18. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon EC2 P3 인스턴스
클라우드에서 가장 빠르고 강력한 GPU 인스턴스
Instance Size GPU
Tesla
V100
GPU
Memory
(GB)
vCPUs Memory
(GB)
Network
Bandwidth
(Gbps)
EBS
Bandwidth
(Gbps)
Price
On-
Demand
(per hr)
Price
1-yr Reserved
Instance
(per hr)
p3.2xlarge 1 16 8 61 Up to 10 1.5 $4.981 $3.322
p3.8xlarge 4 64 32 244 10 7 $19.924 $13.29
p3.16xlarge 8 128 64 488 25 14 $39.848 $26.578
• 1 PetaFLOP 연산 성능
– 기존 P2 인스턴스보다 14배 높은 성능
• GPU 간에 300 GB/s 로 통신 (NVLink)
– 기존 P2 인스턴스보다 9배 높은 성능
5,120 CUDA cores [ 640 Tensor cores ]
7.5 FP64 TFLOPS | 15 FP32 TFLOPS
120 TensorTFLOPS
16GB HBM2 @ 900 GB/s
300 GB/s NVLink TESLA V100

19. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon EC2 P3 인스턴스
클라우드에서 가장 빠르고 강력한 GPU 인스턴스
Instance Size GPU
Tesla
V100
GPU
Memory
(GB)
vCPUs Memory
(GB)
Network
Bandwidth
(Gbps)
EBS
Bandwidth
(Gbps)
Price
On-
Demand
(per hr)
Price
1-yr Reserved
Instance
(per hr)
Price
Spot
Instance
(per hr)
p3.2xlarge 1 16 8 61 Up to 10 1.5 $4.981 $3.322 ($1.4943)
p3.8xlarge 4 64 32 244 10 7 $19.924 $13.29 ($5.9772)
p3.16xlarge 8 128 64 488 25 14 $39.848 $26.578 ($39.848)
• 1 PetaFLOP 연산 성능
– 기존 P2 인스턴스보다 14배 높은 성능
• GPU 간에 300 GB/s 로 통신 (NVLink)
– 기존 P2 인스턴스보다 9배 높은 성능
5,120 CUDA cores [ 640 Tensor cores ]
7.5 FP64 TFLOPS | 15 FP32 TFLOPS
120 TensorTFLOPS
16GB HBM2 @ 900 GB/s
300 GB/s NVLink TESLA V100

20. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
TensorFlow on AWS
https://d1.awsstatic.com/whitepapers/nucleus-tensorflow.pdf
88% of TensorFlow projects in the
cloud are running on AWS.
- Nucleus Research, Dec. 2017

21. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
• 시작하기 쉬운 튜토리얼을 통해 빠른 개발이 가능
• 번거로운 설치나 구성이 필요 없음
• AMI에 대한 추가 비용 없음
• 모델 트레이닝 및 배포 가속화
• 인기 있는 Deep Learning 프레임워크 지원
AWS Deep Learning AMI

22. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Apache MXNet
http://mxnet.io/

23. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Scaling with MXNet
Ideal
Inception v3
ResNet
AlexNet
88%
Efficiency
1 2 4 8 16 32 64 128 256
GPUs
• CloudFormation with Deep Learning AMI
• 16x P2.16xlarge. mounted on EFS
• Inception and ResNet: batch size 32, AlexNet: batch size 512
• ImageNet, 1.2M images,1K classes
• 152-layers ResNet, 5.4day on 4x K80s (1.2hour per epoch), 0.22 top-1 error

24. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
• 딥러닝 모델 개발을 단순하게
• 유연한 Neural Network 구현이 가능
• 빠른 성능 제공
• Microsoft 협업을 통한 개발
• 현재 Apache MXNet 지원 (CNTK 지원 예정)
Simple, Easy-to-
Understand Code
Flexible, Imperative
Structure
Dynamic Graphs High Performance
https://gluon.mxnet.io/
Gluon

25. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
개발자와 데이터 과학자를 위한 ML 플랫폼 제공
F R A M E W O R K S A N D I N T E R FA C E S
Amazon SageMaker AWS DeepLens Amazon Mechanical Turk
PLATFORM SERVICES
VISION LANGUAGE VR/AR
APPLICATION SERVICES
AWS DeepLensAmazon SageMaker Amazon Machine Learning Amazon EMR & SparkMechanical Turk
AWS DEEP LEARNING AMI
Apache MXNet TensorFlowCaffe2 Torch KerasCNTK PyTorch GluonTheano
INSTANCES
GPU (G2/P2/P3) CPU (C5) FPGA (F1)

26. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
손쉬운 기계 학습 모델 작성, 학습 및 서비스 배포 완전 관리 서비스
Generally available today
Amazon SageMaker
1 32
완전 관리 및
자동 스케일링
배포/예측
원클릭 배포
모델 작성
Jupyter
Notebook 기반
서비스
고성능
알고리즘
제공
원클릭
데이터
트레이닝
학습/튜닝
Hyper
parameter
최적화
데이터 과학자와 개발자가
머신러닝 모델을 빠르고 쉽게 만드는
완전 관리형 서비스

27. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
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
DataAugmentation
Feature
Augmentation
Re-training
ML problem framing
Iterative Machine Learning Process

28. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Productivity
Time
Humans
Machines
Time vs. Productivity in Machine Learning

29. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
One-click training for
ML, DL, and custom
algorithms
Easier training with
hyperparameter
optimization
Highly-optimized
machine learning
algorithms
Deployment
without engineering
effort
Fully-managed
hosting at scale
BuildPre-built notebook
instances
Deploy
Train
Amazon SageMaker

30. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
속도와 페타바이트 급 데이터 처리에 최적화된 알고리즘
Amazon SageMaker는 대용량 데이터 처리/분석에 최적화된 성능을 지원하는 빌트인 알고리즘을 제공합니다.
(지속적인 신규 알고리즘 추가 및 기존 알고리즘의 업데이트도 이뤄지고 있습니다)
Amazon provided algorithm Sample Use Cases
K-Means clustering 고객 군 분할; 분류
K-Nearest Neighbors 분류 또는 회귀에 사용되는 비모수 방식의 알고리즘
Principal Component Analysis 특징 차원 감소
Factorization Machines 추천 시스템
Linear regression 가격 예측
Binary classification 탈퇴 고객 예측
Latent Dirichlet Allocation 토픽에 따른 문서 분류
Neural Variational Document Model (NVDM) 자연어 처리를 이용한 문서 분류
XGboost Decision trees; 비정형 파악
Image Classifier (ResNet) 이미지를 구분하는 알고리즘
Object Detection Algorithm (SSD) 하나의 이미지로부터 다양한 물체를 찾아내고 인식하는 알고리즘
Sequence2Sequence 언어 번역
DeepAR RNN을 이용한 시계열 데이터 예측
BlazingText Word2Vec 구현; 자연어 처리를 위해 단어를 벡터로 변환
Random Cut Forest 비정상적인 데이터 추출

31. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
개발자를 위한 세계 최초의
무선 딥러닝 카메라
AWS DeepLens
HD 카메라
딥러닝 연산 최적화
다양한 튜토리얼, 예제
및 데모, 모델 제공
10분 이내에 데이터
모델 활용 가능
Amazon SageMaker
및 AWS Lambda 연동
10
MIN
HD video camera
Custom-designed
deep learning
inferenceengine
Micro-SD
Mini-HDMI
USB
USB
Reset
Audio out
Power

32. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Video out
Data out
I N F E R E N C E
D E P L O Y P R O J E C T S
Manage device
Security
Console Project
Management
AWS Cloud
Intel: Model Optimizer
cIDNN and Driver
AWS DeepLens Architecture

33. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Mechanical Turk
• AI/ML 시스템 구축 시 가장 먼저 할 일:
Ground Truth 데이터의 구축
• 음성, 이미지, 언어 데이터의 해석에는
실제 사람을 통해 얻는 정보가 필요
(Human Intelligence)
https://www.mturk.com/

34. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
개발자를 위한 ML 애플리케이션 서비스
FRAMEWORKS AND INTERFACES
AWS DEEP LEARNING AMI
Apache MXNet TensorFlowCaffe2 Torch KerasCNTK PyTorch GluonTheano
PLATFORM SERVICES
AWS DeepLensAmazon SageMaker Amazon Machine Learning Amazon EMR & SparkMechanical Turk
INSTANCES
GPU (G2/P2/P3) CPU (C5) FPGA (F1)
VISION LANGUAGE
Amazon
Rekognition
Image
Amazon
Polly
Amazon
Lex
Amazon Rekognition
Video
Amazon
Transcribe
Amazon
Comprehend
Alexa for
Business
VR/AR
Amazon
Sumerian
APPLICATION SERVICES
Amazon
Translate

35. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Rekognition Image
이미지 분석
객체 및 장면
인식
얼굴
분석
얼굴
비교
얼굴
인식
유명 인사
인식
성인 콘텐츠
감지

36. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Facial Detection & Analysis
Image Quality
Facial Landmarks
Demographic Data Emotions
General Attributes
Facial Pose
Brightness 23.6%
Sharpness 99.9%
EyeLeft,EyeRight,Nose
RightPupil,LeftPupil
MouthRight,LeftEyeBrowUp
Bounding Box
Age Range 29-45
Gender: Male 96.5%
Happy 83.8%
Surprised 0.65%
Smile:True 23.6%
EyesOpen:True 99.8%
Beard:True 99.5%
Mustache:True 99.9%
Pitch 1.446
Roll 5.725
Yaw 4.383
DetectFaces

37. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Rekognition: Facial Analysis

38. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Live Demographic Analysis
Female : 100%
Happy : 99.9%
Age Range : 11 - 18
Female : 100%
Happy : 99.6%
Age Range : 27 - 44
Male : 99.7%
Happy : 97.9%
Age Range : 26 - 43

39. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Section A
Section D
Section B
Section C
Section F
Section E
Section G
8 – 19 years
20 – 35 years
Male
Female
Time
Real time Store Heat Map
Live Demographic Analysis

40. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Real-time face search against tens of millions of faces
Face Search

41. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Face Search - Media and Entertainment
A u t o m a t i n g F o o t a g e
T a g g i n g w i t h A m a z o n
R e k o g n i t i o n
Indexed 99,000 people
Saves ~9,000 hours a year in labor

42. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Rekognition Video
비디오 분석

43. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Blowing a candle Drinking
Amazon Rekognition Video
Object, Scene and Activity Detection

44. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

45. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Rekognition Video
Person Tracking

46. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

47. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

48. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Facial Analysis on Live Feeds
Use case : Public Safety Immediate Response
https://aws.amazon.com/blogs/machine-learning/easily-perform-facial-analysis-on-live-feeds-by-creating-a-serverless-video-analytics-environment-with-amazon-rekognition-video-and-amazon-kinesis-video-streams/
Webcam/
Live Street Camera
Amazon Kinesis Video Streams Amazon Rekognition Video Face collection
1. Camera-captured video
streams are processed by Kinesis
Video Streams
2. Rekognition Video analysesthe video
and searches faces on screen againsta
collection of millions of faces
Text
Notification
3. End user is notified
in case of face matches
Amazon SNS AWS Lambda Amazon Kinesis
Streams

49. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Rekognition Video
-Face Search/Detection/Tracking
https://www.youtube.com/watch?v=RqQCfMjatng

50. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

51. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Rekognition Video
Celebrity Recognition
The architecture for Live Video with
Royal Wedding ‘Who’s who’
https://www.elemental.com/newsroom/blog/sky-news-aws-bring-ml-mainstream-live-video-royal-wedding-whos-who
https://www.thequint.com/tech-and-auto/tech-news/ai-based-app-to-spot-celebrities-at-royal-wedding
• 23 million Sky viewers (scalability)
• To navigate the celebrity data
without leaving the app
• To keep the primary video content
on-screen, enjoying a self-guided,
hands-on experience for every
celebrity sighting

52. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Rekognition Video
Celebrity Recognition
https://www.youtube.com/watch?v=CHeXssCvclY
Royal Wedding 2018
– Who was there?

53. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Lex
대화형 음성 및 텍스트 인터페이스
텍스트 및 음성이해 : Amazon Alexa와 같은 기술 기반
엔터프라이즈 SaaS 커넥터 제공: 엔터프라이즈 시스템 연동
대화형 서비스 구축을 위한 직관적인 도구 제공
지속적인 학습: 봇을 모니터링하고 개선
한 번의 Build로 다양한 플랫폼에 적용

54. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Polly
음성 합성
• 텍스트를 실제같은 음성으로 변환해주는 서비스
• 25개국, 56가지 언어 음성 소스 지원
• 한국어 (서연)
• 리얼 타임 시스템에 사용될 수 있도록 빠른 응답 속도 지원
• 서울 리전 서비스 Endpoint 제공
• 변환된 음성파일은 자유롭게 저장, 재생, 배포될 수 있음
• 별도의 계약 없이 생성된 음원을 무제한 사용

55. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Polly: Speech Synthesis Markup
Language 지원
• W3C 표준에 기반하여 의미적
음성 합성 마크업 언어인 SSML
1.1 지원
• 음성 속도, 볼륨, 피치, 끊어 읽기
등 다양한 표현 지원
• AWS에서 자체적으로 지정한
추가 기능도 지원

56. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
아마존 폴리가 조선일보 뉴스를 들려드립니다
Amazon Polly를 통한 음성 읽기 서버리스 앱 개발하기
https://aws.amazon.com/ko/blogs/korea/build-your-own-text-to-speech-applications-with-amazon-polly/
https://s3.ap-northeast-2.amazonaws.com/chosun-polly/index.html

57. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
§ Hello/
Hola
Amazon
S3
음성 입력 정보에 대한 정확한 스크립트를 자동으로 생성해내는
완전 관리형 음성 인식 (ASR) 서비스입니다.
Amazon Transcribe
음성 인식
일반 음성 데이터,
(낮은 음질의)
전화 음성 데이터
모두 지원
타임스탬프
Confidence
score
문장부호 반영,
문장 스타일링
영어, 스페인어 지원
(향후 지속적인 확대)
S3와
손쉬운
통합
다자간 대화 시
화자(speaker)별
추적
맞춤형 어휘집
구축 제공

58. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Translate
Amazon Translate는 높은 퀄리티로 다양한 언어에 대해
대량의 컨텐츠 번역, 실시간 번역을 제공하는
완전 관리형 Neural Machine Translation 서비스입니다.
대용량 컨텐트
번역
실시간 번역
다양한 언어에 대한
번역 서비스 제공
번역 대상 언어
자동 탐지
English, Arabic, Chinese(Traditional, Simplified),
French, German, Portuguese, Spanish,
Turkish, Czech, Italian, Japanese, Russian

59. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Comprehend
자연 언어 처리
감정 분석 엔티티 추출 언어 핵심 문구 토픽 모델링
POWERED BY
DEEP LEARNING
�
Amazon Comprehend는 Deep Learning 기반의 NLP 엔진이 탑재된
완전 관리형 AWS의 자연 언어 처리 서비스 입니다.

60. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Comprehend: 텍스트 분석 예제
자연 언어 처리
A m a z o n . c o m , I n c . i s l o c a t e d i n S e a t t l e ,
WA a n d w a s f o u n d e d J u l y 5 t h , 1 9 9 4 b y
J e f f B e z o s . O u r c u s t o m e rs l o v e b u y i n g
e v e r y t h i n g f ro m b o o k s t o b l e n d e rs a t
g re a t p r i c e s
Document Topic Proportion
Doc.txt 0 .89
Doc.txt 1 .67
Doc.txt 2 .91
Topic Term Weight
0 Washington .89
1 Silicon Valley .67
2 Roasting .91
Keywords Topic Groups Document Relationship to Topics
TOPIC MODELING
Named Entities
• Amazon.com : Organization
• Seattle, WA : Location
• July 5th, 1994 : Date
• Jeff Bezos : Person
Key Phrases
• Our customers
• books
• blenders
• great prices
Sentiment
• Positive
Language
• English

61. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS 마켓플레이스 솔루션
D a t a S o l u t i o n s M L & D a t a S c i e n c e I n t e l l i g e n t S o l u t i o n s
aws.amazon.com/mp/ai

62. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS ML Customers
APPLICATION SERVICES
Amazon Lex
Amazon Polly
Amazon Comprehend
Amazon Translate
Amazon Transcribe
Amazon Rekognition Image
Amazon Rekognition Video
PLATFORM SERVICES
Amazon SageMaker AWS DeepLens
FRAMEWORKS AND INTERFACES
AWS Deep Learning AMI
Apache MXNet
Caffe2
Caffe
CNTK
TensorFlow
Theano
Chainer
PyTorch
Gluon
Keras
AWS ML Platform
DATA LAKE STORAGE
Amazon S3
SECURITY
Access Control
Encryption
COMPUTE
Powerful GPU and CPU Instances
ANALYTICS
Amazon Athena
Amazon Redshift
and Redshift Spectrum
Amazon EMR
(Spark, Hive, Presto, Pig)
AWS Glue
Amazon Kinesis
Amazon QuickSight
Amazon Macie
AWS Organizations
AWS Cloud Platforms
글로벌 고객의 요구에 맞는
다양한 AWS 클라우드 기반 인공 지능 플랫폼 제공

63. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
THANK YOU