The document details the transformative impact of machine learning and TensorFlow on artificial intelligence, highlighting advancements over the past decade such as increased data, computational power, and improved algorithms. It introduces TensorFlow as an open-source library for machine learning, emphasizing its applications in various domains including cloud services, natural language processing, and image recognition. Additionally, it discusses specific use cases in Latin America for optimizing processes in commerce and billing using predictive analysis and machine learning techniques.

1. Machine Learning and TensorFlow
Artificial Intelligence Present and Future
José Papo
Gerente de relações com startups e developers
Google América Latina
@josepapo

3. “Machine learning is a core,
transformative way by which we’re
re-thinking how we’re doing everything”
Sundar Pichai
CEO, Google

4. “Machine learning will cause every
successful huge IPO win in 5 years.”
Eric Schmidt
Executive Chairman, Alphabet

5. Basic Concepts

6. ● Artificial General Intelligence
● Artificial Superintelligence
● Artificial Narrow Intelligence
Artificial Intelligence

7. Machine Learning (Narrow AI)

8. Deep Learning (ML on Steroids!!!)

10. What’s different now from 10 years ago?
WAY MORE
DATA
More
Compute
Better
Algorithms

12. Machine Learning at Google

13. Products using Machine Learning

19. TensorFlow

21. ● Open source Machine
Learning library
● Especially useful for
Deep Learning
● For research and
production
● Apache 2.0 license

22. Raspberry
Pi
DatacentersYour laptop Android iOS
Portable & Scalable

23. A multidimensional array.
A graph of operations.

24. Data Flow Graphs
Computation is defined as a directed acyclic graph
(DAG) to optimize an objective function
● Graph is defined in high-level language (Python)
● Graph is compiled and optimized
● Graph is executed (in parts or fully) on available low
level devices (CPU, GPU)
● Data (tensors) flow through the graph
● TensorFlow can compute gradients automatically

26. Image source: Wikimedia
+ =
A Neural Algorithm of Artistic Style http://arxiv.org/abs/1508.06576
?

27. Image source: Wikimedia
+ =
A Neural Algorithm of Artistic Style http://arxiv.org/abs/1508.06576

28. Image source: Wikimedia
+ =
A Neural Algorithm of Artistic Style http://arxiv.org/abs/1508.06576
goo.gl/fyDxhC

29. Most popular ML open source project on GitHub

30. Cloud, Mobile, Machine Learning

31. Cloud Machine Learning APIs
See, Hear and Understand the world

32. Cloud
Natural Language
Cloud
Speech
Cloud
Translate
Cloud
Vision

33. Faces
Faces, facial landmarks, emotions
OCR
Read and extract text, with
support for > 10 languages
Label
Detect entities from furniture to
transportation
Logos
Identify product logos
Landmarks & Image Properties
Detect landmarks & dominant
color of image
Safe Search
Detect explicit content - adult,
violent, medical and spoof
Cloud Vision API

34. Confidential & ProprietaryGoogle Cloud Platform 34
Cloud Natural Language API
Extract sentence, identify parts of
speech and create dependency parse
trees for each sentence.
Identify entities and label by types such
as person, organization, location, events,
products and media.
Understand the overall sentiment of a
block of text.
Syntax Analysis Entity Recognition
Sentiment Analysis

35. Confidential & ProprietaryGoogle Cloud Platform 35
Cloud Speech API
Automatic Speech Recognition (ASR)
powered by deep learning neural
networking to power your
applications like voice search or
speech transcription.
Recognizes over 80
languages and variants
with an extensive
vocabulary.
Returns partial
recognition results
immediately, as they
become available.
Filter inappropriate
content in text results.
Audio input can be captured by an application’s
microphone or sent from a pre-recorded audio
file. Multiple audio file formats are supported,
including FLAC, AMR, PCMU and linear-16.
Handles noisy audio from many
environments without requiring
additional noise cancellation.
Audio files can be uploaded in the
request and, in future releases,
integrated with Google Cloud
Storage.
Automatic Speech Recognition Global Vocabulary Inappropriate Content
Filtering
Streaming Recognition
Real-time or Buffered Audio Support Noisy Audio Handling Integrated API

36. Mobile Vision API
Providing on-device vision for applications

37. Face API
faces, facial landmarks, eyes
open, smiling
Barcode API
1D and 2D barcodes
Text API
Latin-based text / structure
Common Mobile Vision API
Support for fast image and video on-device detection and tracking.
NEW!

38. Face API
Photo credit developers.google.com/vision

39. Text Detection
Latin based language
Understand text structure
Photo credit Getty Images

40. Barcode Detection
1D barcodes
EAN-13/8
UPC-A/E
Code-39/93/128
ITF
Codabar
2D barcodes
QR Code
Data Matrix
PDF-417
AZTEC
UPC
DataMatrix
QR Code
PDF 417
Video and image credit Google

41. Machine Learning Democratization
Use Cases in Latin America

58. ACESSO UNIVERSAL A MEDICINA DE QUALIDADE

59. Machine Learning

60. AGENDA
• Otimização do broadcast
• Otimização do processo billing
• Personal Cloud
Machine
Learning

61. operacion
al
comercia
l
usuário
s
3perspectiva
s

62. Otimização do broadcast
• Reduzir a quantidade de envio de mensagens de
estímulo mantendo a mesma taxa de retorno.
comercia
l Desafio
Proposta
• Identificar o comportamento ou características dos
usuários mais propensos a responder ao estímulo.

63. Otimização do broadcast
• Text Mining para tratamento das frases,
classificando-as, como por exemplo, pela ideia
transmitida.
• Análise de modelos preditivos para seleção dos
clientes mais propensos.
comercia
l
Processo de
análise

64. Otimização do broadcast
• Prever quem não irá responder a nossa oferta nos
dá a possibilidade de pensarmos em algo diferente
para este usuário e desta forma conhecê-lo um
pouco mais.
• Redução de média 40% nos envios de broadcast.
comercia
l
Resultad
o

65. Otimização do billing
• Aumentar o sucesso nas cobranças dos serviços
prestados.
Desafi
o
Propost
a
• Identificar os clientes mais propensos em
determinados horários.
operacion
al

66. Otimização do billing
• Tratamento e enriquecimento da base de dados com
BigQuery.
• Análise de modelos preditivos para criação de escore de
crédito.
Processo de
análise
operacion
al

67. Otimização do billing
Proposição de
uso

68. Otimização do billing
• Redução de custos com infraestrutura de TI, uso
mais inteligente de recursos.
• Melhora de 42% em média na acertividade do
billing.
Resultad
o
operacion
al

69. Personal Cloud
• Detectar objetos e faces dentro das fotos dos
usuários do Personal Cloud para possibilitar busca e
criação de álbuns de forma automática
Desafi
o
Propost
a
• Utilização da API do Google Cloud Vision.
usuário
s
Busca por tags e álbuns
automáticos

70. Otimização do broadcast
Processo de
análiseusuário
s pé
dedo
bolsa
óculo
s
praia

71. Don’t Think Outside The
Box, Think Like There is NO
BOX!

93. tensorflow.org
github.com/tensorflow
Want to learn more?
Udacity class on Deep Learning, goo.gl/iHssII
Guides, codelabs, videos
MNIST for Beginners, goo.gl/tx8R2b
TF Learn Quickstart, goo.gl/uiefRn
TensorFlow for Poets, goo.gl/bVjFIL
ML Recipes, goo.gl/KewA03
TensorFlow and Deep Learning without a PhD, goo.gl/pHeXe7
Learn More...

94. OBRIGADO!
slideshare.net/jpapo
José Papo
@josepapo