Apresentação utilizada no AWS Initiate Brasília em 17/09/2019

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Transformação Digital
Usando Inteligência Artificial

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São , cada um com
e .
Não parece muito...

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43.252.003.274.489.856.000
DE COMBINAÇÕES ÚNICAS

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Capacidade computacional para executar tarefas que
usualmente requerem inteligência humana.
E não. Não se trata de vários .

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Não codifique padrões, deixe que
o sistema aprenda com os dados.

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F2 U' R' L F2 R L' U'
Modelo

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F2 U' R' L F2 R L' U'
Modelo
1%
acurácia
R U r U R U2 r U2%
acurácia

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Modelo
20%
accuracy
40%
accuracy
60%
accuracy
80%
accuracy
95%
acurácia
2%
acurácia

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Modelo
95%
accuracy
?
F2 R F R′ B′ D F D′ B D F

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RESOLVIDO EM 0.9 SEGUNDOS

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Agora, vamos falar sobre
e .

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A
é causada pelo .
Trata-se com
O
é causado pelo vírus .
Previne-se com

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O
Temos mais de de células diferentes.
Cada uma delas com de genes.
Cada gene pode ter defeitos.
Quando uma célula tem um defeito genético,
temos .

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Como podemos aplicar AI
nestes casos?

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O Fred Hutchinson Cancer ResearchCenter utiliza
para extrair dados chaves
dos pacientes de registros médicos. Isso ajuda no
desenvolvimento das pesquisas clinicas, identificando
potenciais pacientes.

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Alguns de nossos clientes utilizando AI/ML na AWS

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ML FRAMEWORKS &
INFRASTRUCTURE
Amazon ML stack
AI SERVICES
L E X
Chatbots
P O L L Y T R A N S C R I B E
Speech
ML SERVICES
R 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
Vision
T E X T R A C T
Frameworks Interfaces Infrastructure
E C 2 P 3
& P 3 d 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
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 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
Reinforcement learningAlgorithms & models ( M A R K E T P L A C E F O R M L )
T R A N S L A T E 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
Language
F O R E C A S T
Forecasting
P E R S O N A L I Z E
Recommendations
RL Coach

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Serviço de Deep learning baseado no reconhecimento de imagens.
Detecção de cenas e
objetos
Análise Facial Texto em
imagens
Comparação de faces Reconhecer
celebridades
Detecção de imagens
inapropriadas
Amazon Rekognition

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VisãoComputacional
Um rosto detectado
Idade: 0-2 anos
10 rostos detectados Pessoa 99.2%
Snowboarding 98.1%

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Reconhecimento de Objetos

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On the phoneTexting Looking away
Prevendo Comportamentos dos Motoristas

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AmazonComprehend
Entidades
Frases Chave
Lingua
Sentimento
Sintaxe
Agrupamento

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AmazonTextract
Extração de texto Identificação deTabelas Extração de dados de
formulário

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Build DeployTrain
Amazon SageMaker

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“Não podemos continuar sendo
um Governo Blockbuster
servindo cidadãos Netflix”
Scott Brison
Former President of the Treasury Board and Minister of Digital
Governo do Canadá

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ml.aws

40. Muito obrigado
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