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© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
AI/ML with Data Lakes:
Counterintuitive Consumer Insights in Retail
Kim Kao
Solutions Architect
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Agenda
• Building a retail data platform
• Machine learning data readiness
• Tapestry’s journey of innovation: Enabling a data and prediction
driven company
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Today's conversation
Iterative design for business outcomes
Building for scale and for speed
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Data analyzed for benefit
Available data
Should we collect "all the data" and see what's in it?
COST
VALUE
Investment value of analytics
2010 2015 2020 2025
Datavolume
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Three big indicators of individual behavior
Purchases Movement Influence
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
A platform to build business outcomes from data
Purchases
Movement
Influence
Ingest/
Collect
Consume/
visualize
Store
Process/
analyze
1 4
0 9
5
Revenue Lift
Market
acquisition
Customer delight
Brand advocacy
Inventory
optimization
Supply chain
efficiency
...
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Design an on-demand experimentation sandbox
... and only pay for what you use
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Experimentation is fast and cost-efficient
Design once, automatically deploy many times
AWS
CloudFormation
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Quickly find the right outcomes, and turn off the
rest -- Win fast, fail cheap
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
AWS offers full capabilities for a retail data platform
Ingest Store ConsumeAnalyze
Amazon Kinesis
streaming data
AWS Database
Migration Service
import from Oracle,
Netezza, and others
AWS Direct Connect
link to data center
AWS Snowball
mail-in bulk data
Internal apps
Customer-facing appsInteroperate with
everything
and many more…
Amazon Redshift
data warehouse
Amazon EMR
unstructured data
Amazon Athena
interactive query
service
Amazon Machine
Learning
ML as-a-service
Amazon QuickSight
visualization
and many more…
Amazon S3
secure, cost-
effective
storage
AWS Glue
managed
ETL
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
The Amazon Machine Learning stack
TOOLS
&
SOLUTIONS
APPLICATION SERVICES
A M A Z O N
R E K O G N I T I O N
R E K O G N I T I O N
V I D E O
A M A Z O N
P O L L Y
A M A Z O N
T R A N S C R I B E
A M A Z O N
T R A N S L A T E
A M A Z O N
C O M P R E H E N D
A M A Z O N
L E X
Amazon SageMaker Amazon Mechanical Turk
FRAMEWORKS KERAS
P3
NVIDIA Tesla V100 GPU
accelerated for AI/ML training
Machine learning
AMIs
INFRASTRUCTURE
&
AWS Greengrass
ML
Amazon Deep Learning AMIs
Compute intensive instances for
AI/ML Inference
C5
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
AI/ML workflow
Performance monitoring
& adaptation
8
Data acquisition & storage1
Model & framework selection3
Model training4
Hyperparameter tuning5
Model testing and simulation6
Model deployment (inference)7
Data labeling2
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Outcome 1 : Modernize and consolidate
• Insights to enhance business applications and create new digital services
Outcome 2 : Innovate for new revenues
• Personalization, demand forecasting, risk analysis
Outcome 3 : Real-time engagement
• Interactive customer experience, event-driven automation, fraud
detection
Outcome 4 : Automate for expansive reach
• Automation of business processes and physical infrastructure
Business outcomes on a modern data architecture
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Tapestry and AWS:
Enabling a Data & Predictive-driven
Company
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Diagnostic
Why it
happened?
Descriptive
What is
happening now?
Predictive
What will
happen inthe
future?
Prescriptive
What should I
do about it?
Cognitive &AI
What haven’t I already
considered?
Increasing Analytic Maturity
How to take the company to an increased level of analytic
maturity
Now The future
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Predictive
What will happen inthe
future?
Prescriptive
What should I do about it?
ML & AI framework
Vision Stack: Technical framework
Hindsight + Insights + Foresights
Data Lakes
Cognitive &AI
What haven’t I already considered?
How to take the company to an increased level of analytic
maturity
Self-Service Platforms
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Idea to completion 3 months
We laid the foundation to enable the future:
Tapestry DataLabs Cloud
Secure & AI Ready
Web ServersUser Applications
Tapestry
Decision
Makers
Tapestry
Developers &
Data
Scientists
VPN
Tapestry
Hadoop Cluster
(customer data)
Tapestry DataLabs Virtual Private
Cloud
Router
3rd Party Data
Cloud-powered analytics
applications
Tapestry
Corporate
Network
Internet
Machine Learning & AI
cloud lab
Private subnet
Public subnet
AWS Cloud
Data Lake
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Use case one: self service data tools. Project
“Falcon”
VIDEO
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Use case two: Machine Learning & AI
Project “Leonardo”
We built, trained and deployed a predictive model using ML&AI
to optimize inventory by sku across ~200 stores
Tapestry
Allocation System
Model Training Model Deployment
+ + +
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Continuous Training with Amazon
SageMaker
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Continuous training architecture
Amazon API
Gateway
AWS Step
Function
Amazon
SageMaker
Amazon
S3AWS Lambda
Thank you!
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.

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透過資料平台掌握關鍵數據消費者洞察極大化

  • 1. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. AI/ML with Data Lakes: Counterintuitive Consumer Insights in Retail Kim Kao Solutions Architect
  • 2. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Agenda • Building a retail data platform • Machine learning data readiness • Tapestry’s journey of innovation: Enabling a data and prediction driven company
  • 3. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  • 4. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Today's conversation Iterative design for business outcomes Building for scale and for speed
  • 5. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Data analyzed for benefit Available data Should we collect "all the data" and see what's in it? COST VALUE Investment value of analytics 2010 2015 2020 2025 Datavolume
  • 6. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Three big indicators of individual behavior Purchases Movement Influence
  • 7. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. A platform to build business outcomes from data Purchases Movement Influence Ingest/ Collect Consume/ visualize Store Process/ analyze 1 4 0 9 5 Revenue Lift Market acquisition Customer delight Brand advocacy Inventory optimization Supply chain efficiency ...
  • 8. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Design an on-demand experimentation sandbox ... and only pay for what you use
  • 9. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Experimentation is fast and cost-efficient Design once, automatically deploy many times AWS CloudFormation
  • 10. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Quickly find the right outcomes, and turn off the rest -- Win fast, fail cheap
  • 11. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS offers full capabilities for a retail data platform Ingest Store ConsumeAnalyze Amazon Kinesis streaming data AWS Database Migration Service import from Oracle, Netezza, and others AWS Direct Connect link to data center AWS Snowball mail-in bulk data Internal apps Customer-facing appsInteroperate with everything and many more… Amazon Redshift data warehouse Amazon EMR unstructured data Amazon Athena interactive query service Amazon Machine Learning ML as-a-service Amazon QuickSight visualization and many more… Amazon S3 secure, cost- effective storage AWS Glue managed ETL
  • 12. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. The Amazon Machine Learning stack TOOLS & SOLUTIONS APPLICATION SERVICES A M A Z O N R E K O G N I T I O N R E K O G N I T I O N V I D E O A M A Z O N P O L L Y A M A Z O N T R A N S C R I B E A M A Z O N T R A N S L A T E A M A Z O N C O M P R E H E N D A M A Z O N L E X Amazon SageMaker Amazon Mechanical Turk FRAMEWORKS KERAS P3 NVIDIA Tesla V100 GPU accelerated for AI/ML training Machine learning AMIs INFRASTRUCTURE & AWS Greengrass ML Amazon Deep Learning AMIs Compute intensive instances for AI/ML Inference C5
  • 13. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. AI/ML workflow Performance monitoring & adaptation 8 Data acquisition & storage1 Model & framework selection3 Model training4 Hyperparameter tuning5 Model testing and simulation6 Model deployment (inference)7 Data labeling2
  • 14. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Outcome 1 : Modernize and consolidate • Insights to enhance business applications and create new digital services Outcome 2 : Innovate for new revenues • Personalization, demand forecasting, risk analysis Outcome 3 : Real-time engagement • Interactive customer experience, event-driven automation, fraud detection Outcome 4 : Automate for expansive reach • Automation of business processes and physical infrastructure Business outcomes on a modern data architecture
  • 15. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Tapestry and AWS: Enabling a Data & Predictive-driven Company
  • 16. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Diagnostic Why it happened? Descriptive What is happening now? Predictive What will happen inthe future? Prescriptive What should I do about it? Cognitive &AI What haven’t I already considered? Increasing Analytic Maturity How to take the company to an increased level of analytic maturity Now The future
  • 17. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Predictive What will happen inthe future? Prescriptive What should I do about it? ML & AI framework Vision Stack: Technical framework Hindsight + Insights + Foresights Data Lakes Cognitive &AI What haven’t I already considered? How to take the company to an increased level of analytic maturity Self-Service Platforms
  • 18. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Idea to completion 3 months We laid the foundation to enable the future: Tapestry DataLabs Cloud Secure & AI Ready Web ServersUser Applications Tapestry Decision Makers Tapestry Developers & Data Scientists VPN Tapestry Hadoop Cluster (customer data) Tapestry DataLabs Virtual Private Cloud Router 3rd Party Data Cloud-powered analytics applications Tapestry Corporate Network Internet Machine Learning & AI cloud lab Private subnet Public subnet AWS Cloud Data Lake
  • 19. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Use case one: self service data tools. Project “Falcon” VIDEO
  • 20. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Use case two: Machine Learning & AI Project “Leonardo” We built, trained and deployed a predictive model using ML&AI to optimize inventory by sku across ~200 stores Tapestry Allocation System Model Training Model Deployment + + +
  • 21. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Continuous Training with Amazon SageMaker
  • 22. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Continuous training architecture Amazon API Gateway AWS Step Function Amazon SageMaker Amazon S3AWS Lambda
  • 23. Thank you! © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.