Christopher Kuthan, Worldwide Business Development Lead, Media - Solutions, AWS This session provided a deep-dive into how you can harness the capabilities of Machine Learning to build smarter video workflows, create additional content value, and transform the viewing experience. This session incorporated live demonstrations of video use cases.

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AWS | Artificial Intelligence
Build Smarter Video Workflows - Transform the Viewing Experience

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of digital transformation initiatives
supported by AI in 201940% - IDC 2018

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customers have used
machine learning on AWS
10,000+
AWS holds the top spots on Stanford’s
deep learning benchmark, DAWN, for
fastest training time, lowest cost, lowest
inference latency
of TensorFlow projects in the cloud
run on AWS85%
of deep learning in the cloud runs on
AWS81%

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Our mission at AWS
Put machine learning in the hands
of every developer

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M L F R A M E W O R K S &
I N F R A S T R U C T U R E
A I S E R V I C E S
R E K O G N I T I O N
I M A G E
P O L L Y T R A N S C R I B E T R A N S L A T E C O M P R E H E N D L E XR E K O G N I T I O N
V I D E O
Vision Speech Language Chatbots
A M A Z O N
S A G E M A K E R
B U I L D T R A I N
F O R E C A S T
Forecasting
T E X T R A C T P E R S O N A L I Z E
Recommendations
D E P L O Y
Pre-built algorithms & notebooks
Data labeling (G R O U N D T R U T H )
One-click model training & tuning
Optimization (N E O )
One-click deployment & hosting
M L S E R V I C E S
F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e
E C 2 P 3
& P 3 N
E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C
I N F E R E N C E
Reinforcement learningAlgorithms & models ( A W S M A R K E T P L A C E
F O R M A C H I N E L E A R N I N G )

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Automate media workflows to reduce costs & monetize content
content moderation | contextual ad insertion | cataloging media
multi-language metadata search | Subtitling | Translation
C O M P R E H E N DR E K O G N I T I O N
I M A G E
R E K O G N I T I O N
V I D E O
T R A N S C R I B E T R A N S L A T E T E X T R A C T

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Personalize customer experiences with targeted recommendations
recommendation technology used by Amazon.com | context-aware recommendations
sentiment analysis | VoC analytics
P E R S O N A L I Z E C O M P R E H E N DR E K O G N I T I O N
I M A G E
R E K O G N I T I O N
V I D E O
NEW

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Increase efficiency with automated document analysis
optical character recognition (OCR) | automatic data extraction | natural language processing
intelligent search | text analytics
C O M P R E H E N D &
C O M P R E H E N D M E D I C A L
T E X T R A C T
NEW

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M L F R A M E W O R K S &
I N F R A S T R U C T U R E
A I S E R V I C E S
R E K O G N I T I O N
I M A G E
P O L L Y T R A N S C R I B E T R A N S L A T E C O M P R E H E N D L E XR E K O G N I T I O N
V I D E O
Vision Speech Language Chatbots
A M A Z O N
S A G E M A K E R
B U I L D T R A I N
F O R E C A S T
Forecasting
T E X T R A C T P E R S O N A L I Z E
Recommendations
D E P L O Y
Pre-built algorithms & notebooks
Data labeling (G R O U N D T R U T H )
One-click model training & tuning
Optimization (N E O )
One-click deployment & hosting
M L S E R V I C E S
F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e
E C 2 P 3
& P 3 N
E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C
I N F E R E N C E
Reinforcement learningAlgorithms & models ( A W S M A R K E T P L A C E
F O R M A C H I N E L E A R N I N G )

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2
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Amazon SageMaker
Fast & accurate
data labeling
Built-in, high
performance
algorithms &
notebooks
BUILD
1
One-click
training and
tuning
TRAI N
Model
optimization
2
Fully managed
hosting with
auto-scaling and
elastic inference
One-click
deployment
DEPLOY
3

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Enhancing the
fan experience
One week of NFL games now creates 3TB of
data. NFL uses Amazon SageMaker to analyze
telemetry data to predict plays. Computations
that could take months to refine now take only
weeks or days.

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ML Solutions Lab
Brainstorming
Custom modeling
Training
Work side-by-side with Amazon experts
How we can help…
Partner Ecosystem
Media Solutions

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Media Solutions
Go to: aws.amazon.com > answers > media-entertainment
Media Analysis Solution – Machine Learning in Media solution
Tape-to-Cloud MAM Ingest solution (in beta)
Live Subtitling solution (in beta)

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Media Analysis Solution
Go to: aws.amazon.com > answers > media-entertainment
Label & Face Detection
Celebrity Detection
Face Search
Activity Pathing
Subtitle generation
Key Entity & Phrase Detection
Automated
Metadata
GenerationR 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
T R A N S C R I B E T R A N S L A T E C O M P R E H E N D
Transcription
Context
Amazon SageMaker + additional solutions for media use cases

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Tape 2 Cloud Migration
Go to: aws.amazon.com > answers > media-entertainment
Offline Tape Migration
Egress Optimization
Proprietary Conversion
Metadata Export
Proxy Generation
Media
Asset
Registry
Media
Analytics
MAM Modernization
Metadata Import
Security and DR
Lifecycle & Cost Optimization
3-Phased Project Template: Export assets with metadata, process/analysis, and import to MAM
Flexible to accommodate different workflows, content types, and partner components
Professional Services to provide complementary assessment, project management, and offline
tape migration

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Thank you and Build on!
Christopher Kuthan, Kuthan@amazon.com, WW Business Development Lead, Media Solutions