1) The document discusses Amazon Web Services (AWS) machine learning and artificial intelligence services. 2) It introduces Amazon SageMaker as a fully managed service that makes it easier for developers and data scientists to build, train and deploy machine learning models. 3) AWS provides a broad set of machine learning services including Amazon Rekognition (image and video analysis), Amazon Transcribe (speech recognition), Amazon Translate (language translation), Amazon Comprehend (natural language processing) and Amazon SageMaker (machine learning training and deployment).

1. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Comes to London
J a n u a r y 1 2 t h , 2 0 1 8
W I F I : G U E S T
P a s s w o r d : E c h o @ @ 1 7 9
A W S U K & I P u b l i c S e c t o r T e a m

2. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Machine Learning & AI

3. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Put machine learning in the hands of every
developer and data scientist
ML @ AWS: Our mission

4. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS ML Stack
Application
Services
Platform
Services
Frameworks
&
Infrastructure
Apache
MXNet
PyTorch
Cognitive
Toolkit
Keras
Caffe2
& Caffe
TensorFlow
AWS Deep Learning AMI
GPU MobileCPU
IoT
(Greengrass)
Amazon Machine
Learning
Mechanical TurkSpark & EMR
Vision: Amazon
Rekognition
Speech: Amazon
Polly
Language: Lex
Gluon

5. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon EC2 P3 Instances (October 2017)
• Up to eight NVIDIA Tesla V100 GPUs
• 1 PetaFLOPs of computational
performance – 14x better than P2
• 300 GB/s GPU-to-GPU communication
(NVLink) – 9X better than P2
• 16GB GPU memory with 900 GB/sec peak
GPU memory bandwidth
T h e f a s t e s t , m o s t p o w e r f u l G P U i n s t a n c e s i n t h e c l o u d

6. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Machine learning process is hard…
Data wrangling
• Setup and manage
notebook environments
• Get data to
notebooks securely
Experimentation
• Setup and manage
clusters
• Scale/distribute ML
algorithms
Deployment
• Setup and manage
inference clusters
• Manage and auto scale
inference APIs
• Testing, versioning,
and monitoring
Fetch data
Clean &
format data
Prepare &
transform
data
Train model
Evaluate
model
Integrate
with prod
Monitor/
debug/refresh

7. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Fetch data
Clean &
format data
Prepare &
transform
data
Train model
Evaluate
model
Integrate
with prod
Monitor/
debug/refresh
6–18
months
…and time consuming

8. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Introducing: Amazon SageMaker
A managed service
that provides the quickest and easiest way for
your data scientists and developers to get
ML models from idea to production.

9. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon SageMaker
⚛ Zero setup with Managed Notebooks
⚛ Built-in, High Performance Algorithms
⚛ One-click Training
⚛ Automatic Model Tuning (Limited Preview)
⚛ Reduced model training time
⚛ One-Click Deployment
⚛ Pay by the second
One-click training
Automatic, built-
in model tuning
Highly-
optimized ML
algorithms
Deployment
without
engineering
effort
Fully-managed
hosting at scale
Build
Managed
notebook
instancesDeploy
Train
(GA)
Build, Train, and Deploy Machine Learning Models at Scale

10. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
How do we put ML in the hands of
developers (literally)?

11. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS DeepLens
A new way to learn
Custom built for deep learning
Broad Framework Support
Deploy models from Amazon SageMaker
Integrated with AWS
Full programmable with AWS Lambda
(LP)
World’s first deep learning enabled video camera for developers

12. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS DeepLens: How Does It Work?
Deep learning models
run in real time on the device
Deploy pre-trained educational models
Deploy custom models from Amazon SageMaker

13. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS DeepLens: How Does It Work?
Deep learning models
run in real time on the device
Stream live video back to AWS
Integrate with Lambda, SNS, SES, etc.
Video analytics with Amazon Rekognition Video
Sophisticated inference with
Amazon IM hosted models

14. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Object and Scene
Detection
Facial
Analysis
Face
Comparison
Facial
Recognition
Celebrity
Recognition
Image
Moderation
Amazon Rekognition Image: Deep
learning-based image analysis service

15. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Results:
| IT’S - 97% |
| MONDAY – 99% |
|but – 97% |keep – 96% |
| Smiling – 99% |
DetectText
Rekognition: Text in Image

16. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Real-time face recognition against tens of millions of faces
<0.5 second response time
Up to 10M faces
Enable Immediate response
Rekognition: Real-Time Face Search

17. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Rekognition Video
Video Analysis
Object and Activity
Detection
Person
Tracking
Face
Recognition
Real-time Live
Stream
Content
Moderation
Celebrity
Recognition

18. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon confidential
Rekognition Video: Demo

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Four primary capabilities
1. Person tracking
2. Facial recognition
3. Object and activity detection
4. Video streaming support
Real-time and
batch analysis
Motion and
time context
(GA)
Amazon Rekognition Video
Analyze activity, recognize and track people in stored and live video stream

20. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
How do we enable analysis of all audio
content generated?

21. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Transcribe
Time StampsSupport for both
regular &
telephony audio
Punctuation
& formatting
§
S3 Integration Recognize
Multiple
Speakers
Custom
Vocabulary
(Preview)
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for
developers to add speech to text capability to their applications

22. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
How do you communicate with your
customers in the language of their choice?

23. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
(Preview)
Real-time
Translation
Powered by
Deep Learning
12 language
pairs (more to
come)
Language
detection
Amazon Translate is a neural machine translation service that delivers fast, high-quality, and
affordable language translation.
Amazon Translate

24. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
How do you extract insights from
unstructured text?

25. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Emails
Telephone
transcriptions
Social Media
Classify language, extract key phrases, understand
sentiment, identify / organize documents by topic
Continuously trained and constantly improving
Integrated with Amazon S3 and AWS Glue
Product reviews
Amazon
Comprehend
(GA)
Natural Language Processing to discover insights from text
Amazon Comprehend

26. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Broadest & Easiest to Use ML platform
Frameworks &
Infrastructure
AWS Deep Learning AMI
GPU
(P3 Instances)
MobileCPU
IoT
(Greengrass)
Vision:
Rekognition Image
Rekognition Video
Speech:
Amazon Polly
Transcribe
Language:
Lex Translate
Comprehend
Apache
MXNet
PyTorch
Cognitive
Toolkit
Keras
Caffe2
& Caffe
TensorFlow Gluon
Application
Services
Platform
Services
Amazon Machine
Learning
Mechanical
Turk
Spark &
EMR
Amazon
SageMaker
AWS
DeepLens