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[re:Cap] AI & ML Services
2018.12.18 Kazuki Matsuda
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Kazuki Matsuda
Solutions Architect - Startups
Amazon Web Services Japan
AdTech- BigData
AWS
Amazon Timestream (New!!), AWS Lambda, Chalice
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AWS Machine Learning Services Stack
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Amazon Personalize
Amazon.com
Preview
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Amazon Personalize
Amazon.com
Preview
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API
Amazon Personalize
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Amazon Personalize
Mobile
SDK
Client Side
JavaScript SDK
Amazon S3
SDK
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AutoML
• Personalize
AutoML
• 2 API
API
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Amazon Personalize
•
Personalize
• getRecommendatons() /
getPersonalizedResults()
API
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Your web
server
Browser
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Amazon Forecast
Preview
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15 15% 3%
*http://demand-planning.com/2018/07/12/how-much-does-forecasting-software-cost/*
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Sales
Forecast
Sales
Time
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Sales
Forecast
Sales
Time
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Amazon Forecast
Amazon.com
Preview
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13.9% 200
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Amazon Forecast
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•
•
•
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Amazon Forecast
Item metadataTarget time-series Related time-series
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API
Amazon
SageMaker
A
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• MQ-
RNN Amazon.com
• Amazon.com
4
2
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AutoML
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
OCR++
Preview
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the 137 protein structures
The performance of the various clusterings was evalu-
MethOd Num' C'USte'S Rand mdex ated using two types of measures. The first is the average
TM~score 8 89.7% silhouette width itself, which is a measure of the clus-
ppm 9 39,396 ter compactness and separation. In general, clustering is
305C 9 895% based on the assumption that the underlying data form
compact clusters of similar characteristics. Larger aver-
R50 7 92.096
age Silhouette Width means that the result of a clustering
OCR
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T E X T
method. Then, the proteins were clustered using the k- medoids method with the optimal
number of clusters.
The performance of the various clusterings was evalu- ated using two types of measures.
The first is the average silhouette width itself, which is a measure of the clus- ter
compactness and separation. In general, clustering is based on the assumption that the
underlying data form compact clusters of similar characteristics. Larger aver- age silhouette
width means that the result of a clustering algorithm consists of compact clusters which are
well sep- arated from each other, i.e. probably close to the actual data distribution. A small
average silhouette width means e.g. that one of the clusters discovered by the clustering
algorithm could be separated in two clusters, or that some
Search
index
Amazon Textract:
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Method Num. clusters Rand index
TM-score
FPFH
3DSC
RSD
VFH
Combined silhouette weights
Combined equal weights
8
9
9
7
8
7
7
89.7%
89.3%
89.5%
92.0%
85.3%
92.2%
90.2%
Aurora
(RDB)
Amazon Textract:
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Graceland, Memphis
Presley, Elvis Aaron
TCB Limited
12-12-1234
TN
01 08 1935 X
901 987-6543
3765 Elvis Presley Blvd.
38116
X RCA Records
Rock n Roll Health
X
Presley, Elvis Aaron
Government forms (e.g. FDA new drug
application, financial disclosure form,
incident reporting)
Tax forms (US – e.g. W2, 1099-MISC, 990,
1040; UK – e.g. P45; Canada – e.g. T4, T5)
Amazon Textract:
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Presley, Elvis AaronN A M E
Graceland, Memphis, TNA D D R E S S
12-12-1234I D
TCB LimitedC O M P A N Y
Graceland, Memphis
Presley
TCB Limited
12-12-1234
TN
901 987-6543
3765 Elvis Presley Blvd.
38116
Elvis
Elvis.Presley@yahoo.com
Amazon Textract:
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Amazon Textract
OCR Key-value confidence
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Amazon Comprehend Medical
• Amazon Comprehend
•
•
• Protected health Information (PHI) API 100 %
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Amazon Comprehend Medical
•
•
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
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Amazon Translate Custom Terminology
• Amazon Translate
•
•
•
•
•
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Amazon Rekognition Object Detection
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Machine Learning Training
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
• Amazon Personalize (Preview)
• Amazon Forcast (Preview)
• Amazon Textract (Preview)
• Amazon Comprehend Medical
• Amazon Translate Custom Terminology
• Amazon Rekognition Object Detection
• Machine Learning Training
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.

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IVS CTO Night And Day 2018 Winter - [re:Cap] AI & ML Services

  • 1. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark [re:Cap] AI & ML Services 2018.12.18 Kazuki Matsuda
  • 2. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Kazuki Matsuda Solutions Architect - Startups Amazon Web Services Japan AdTech- BigData AWS Amazon Timestream (New!!), AWS Lambda, Chalice
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  • 33. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark the 137 protein structures The performance of the various clusterings was evalu- MethOd Num' C'USte'S Rand mdex ated using two types of measures. The first is the average TM~score 8 89.7% silhouette width itself, which is a measure of the clus- ppm 9 39,396 ter compactness and separation. In general, clustering is 305C 9 895% based on the assumption that the underlying data form compact clusters of similar characteristics. Larger aver- R50 7 92.096 age Silhouette Width means that the result of a clustering OCR
  • 34. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark T E X T method. Then, the proteins were clustered using the k- medoids method with the optimal number of clusters. The performance of the various clusterings was evalu- ated using two types of measures. The first is the average silhouette width itself, which is a measure of the clus- ter compactness and separation. In general, clustering is based on the assumption that the underlying data form compact clusters of similar characteristics. Larger aver- age silhouette width means that the result of a clustering algorithm consists of compact clusters which are well sep- arated from each other, i.e. probably close to the actual data distribution. A small average silhouette width means e.g. that one of the clusters discovered by the clustering algorithm could be separated in two clusters, or that some Search index Amazon Textract:
  • 35. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Method Num. clusters Rand index TM-score FPFH 3DSC RSD VFH Combined silhouette weights Combined equal weights 8 9 9 7 8 7 7 89.7% 89.3% 89.5% 92.0% 85.3% 92.2% 90.2% Aurora (RDB) Amazon Textract:
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