Speaker: Woody Borraccino

1. © 2019, Amazon Web Services, Inc. or its Affiliates.
Woody Borraccino, Solutions Architect, AWS
25 June 2019
Accelerare l’utilizzo del Machine
Learning con le soluzioni ML pronte
per l’uso del Marketplace AWS

2. © 2019, Amazon Web Services, Inc. or its Affiliates.
Table of contents
• AWS Marketplace
• Amazon SageMaker recap
• AWS Marketplace for Machine Learning
• Demo: Integrate a marketplace ML model in my web solution using
AWS Lambda

3. © 2019, Amazon Web Services, Inc. or its Affiliates.
AWS Marketplace simplifies software provisioning
FIND, TEST, BUY, AND DEPLOY
SOFTWARE IN THE CLOUD
• Deploy software on demand
• Procure new, BYOL, or free open source
• Tagged, trackable, and metered
• 1,400+ participating ISVs
• 4,800+ product listings
• 230,000 active customers
• Deployed in 18 regions
• Offers 39 categories
• Over 650M hours of EC2
deployed monthly

4. © 2019, Amazon Web Services, Inc. or its Affiliates.
+
AMI AMI CFT
SaaS IoT WAF
NEW
Amazon
SageMaker
Containers
New: Machine learning

5. © 2019, Amazon Web Services, Inc. or its Affiliates.
Amazon SageMaker
Fully managed
hosting with
auto-scaling
One-click
deployment
Pre-built notebooks
for common
problems
Built-in, high
performance
algorithms
One-click
training
Automatic
Model Tuning
BUILD TRAIN DEPLOY

6. © 2019, Amazon Web Services, Inc. or its Affiliates.
Amazon SageMaker customers

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What we heard from our customers
R EIN VEN TIN G TH E W H EEL
Significant time and valuable
resources are spent in developing
ML solutions to problems that are
already solved by others
POOR SELEC TION
It is hard to find, evaluate, and
qualify trust-worthy algorithms
and models for enterprise use cases
LOST OPPOR TU N ITY
Difficulty in deployment, version
management, and reproducibility
led to delay in time to market
LA C K OF D ATA /IP SEC U R ITY
No way to ensure data security,
compliance needs, or regulatory
standards for customer’s data
and intellectual property

8. © 2019, Amazon Web Services, Inc. or its Affiliates.
Delivering value to your customers faster
Rapid deployment on Amazon SageMaker
in minutes
Tune your algorithms and models to your need
Framework agnostic deployment
Easy version management and reproducibility
Avoid undifferentiated heavy lifting
Faster experimentation will lead to more data
science projects and research breakthroughs
completed faster
Highly secure deployment model for your data
“
”
Accelerate delivery
machine learning
applications from
weeks to days

9. © 2019, Amazon Web Services, Inc. or its Affiliates.
AWS Marketplace for
Machine Learning
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Discover over a 200 trusted, curated,
ML algorithms, and model packages
53 machine learning categories
14 industry segments
40+ partners
Free | Free trial | Paid licensing types

10. © 2019, Amazon Web Services, Inc. or its Affiliates.
BUY: (ENTERPRISE CUSTOMERS)
Browse and search algorithms/models
from SageMaker
Procure and manage your products on
AWS Marketplace
SELL: (SOFTWARE VENDORS/START
UPS/INDUSTRY/ACADEMICS)
Package and upload your algorithms/models
as Docker images using AWS SDKs on SageMaker
List and publish your algorithms/models on
AWS Marketplace
Reduce time and cost tied to marketing and
scaling your products
Buy and sell algorithms and pre-trained models packages
for Amazon SageMaker

11. © 2019, Amazon Web Services, Inc. or its Affiliates.
What can you buy?
Algorithms let you
train a custom model
using your own data;
You can also tune
your algorithm using
hyperparameters
Model packages
are pretrained
by your seller
and ready-to-use;
you can run an
inference in
real-time or
batch mode

12. © 2019, Amazon Web Services, Inc. or its Affiliates.
Machine Learning algorithm/model
pricing and licensing
Hourly
Free trials
Free
Metered
Paid

13. © 2019, Amazon Web Services, Inc. or its Affiliates.
Pricing details
Algorithm/
model
package
charges
AWS
resources
usage
Training price for algorithms
Model package: Real-time inference price
Model package: Batch inference price
Algorithms: Amazon SageMaker,
storage costs, notebook server
Model Package: Amazon SageMaker,
storage costs, data in/out charges
+

14. © 2019, Amazon Web Services, Inc. or its Affiliates.
Demo

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Demo Architecture -Waste Classification Platform
AWS Marketplace
ML Model
Amazon SageMaker Lambda function S3 Bucket with images
Inference result
Invoke endpoint
Add tag with ML
classification
Trigger
Use
User
Webpage using
Javascript SDK
Get images and
tags
Upload image

16. © 2019, Amazon Web Services, Inc. or its Affiliates.
Sellers on AWS Marketplace for ML

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Optimus Prime buyer experience
1 2 3
Discover algorithms/
model packages
AWS Marketplace
Subscribe and configure your
product in AWS Marketplace/
Amazon SageMaker
Deploy on Amazon SageMaker

18. © 2019, Amazon Web Services, Inc. or its Affiliates.
Thank you!
Woody Borraccino, Solutions Architect, AWS