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AI & Enterprise

AI & Enterprise

AI Congress London keynote covering how to understand and implement applied AI for business.

Melanie Warrick

January 30, 2018
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  1. AI & Enterprise
    Melanie Warrick

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  2. @nyghtowl
    Multi years & Multi
    millions

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  3. 90% of Data
    Last 2 Years

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  4. 1.5GB / day avg person
    1PB / day smart factory
    By 2020

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  5. @nyghtowl
    Are you innovating with data?

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  6. @nyghtowl
    Machine Learning

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  7. @nyghtowl
    “AI is the new electricity”
    - Andrew Ng ‘17

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  8. @nyghtowl
    New tech is like magic
    Change => fear | excitement

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  9. @nyghtowl
    “Science and engineering of making
    intelligent machines...”
    - John McCarthy ‘55

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  10. @nyghtowl
    A.I. is the
    science of
    making
    technology
    smart

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  11. @nyghtowl
    Artificial Intelligence
    Machine Learning
    Deep
    Learning

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  12. @nyghtowl
    AlphaGo

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  13. @nyghtowl
    Translate

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  14. @nyghtowl
    Computer Vision

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  15. @nyghtowl
    Sentiment Analysis

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  16. @nyghtowl
    AI is not the destination
    How to apply it?

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  17. @nyghtowl
    Speech Recognition

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  18. @nyghtowl
    Auction Site & Real-time Car Image Classifier
    30K dealers | 5M cars
    Classification 20 - a couple minutes
    AUCNET

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  19. @nyghtowl
    Compology
    Waste Removal Automation
    IoT Cameras & Vision Modeling
    Reduced pickups by ~50%

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  20. @nyghtowl
    Largest South African
    pay-TV company
    Siloed data BigQuery Tailored subscriptions
    & real time offers
    real-time
    response
    8.5M
    customers
    27+ data
    sources
    960M points
    consolidated
    MultiChoice

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  21. @nyghtowl
    Goal
    Experts
    Data
    Solution

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  22. @nyghtowl
    Goal
    Experts
    Data
    Solution

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  23. @nyghtowl
    Define the Problem
    Revenue
    Growth
    Customer Satisfaction
    Responsiveness
    Sales
    Expenses
    Operations
    Processes
    Compliance
    Latency
    Product & Process Innovation

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  24. @nyghtowl
    Structured Data
    Classification/ Regression
    ● Customer Churn Analysis
    ● Product Diagnostics
    ● Forecasting
    Recommendation
    ● Content Personalization
    ● Product X-Sells/Up-sells
    Anomaly Detection
    ● Fraud Detection
    ● Asset Sensor Diagnostics
    ● Log Metric Anomalies
    Unstructured Data
    Image Analytics
    ● Identify damaged shipments
    ● Explicit Content Classification
    ● Identify “styles” in images
    Text Analytics
    ● Call Center log analysis
    ● Language Identification
    ● Topic Classification
    ● Sentiment Analysis
    Machine Learning - Applications

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  25. @nyghtowl
    Breakdown and Evolve

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  26. @nyghtowl
    Growing Use of ML at Google
    Number of directories containing model description files
    2012 2013 2014 2015
    1500
    1000
    500
    0
    Used across products:

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  27. @nyghtowl
    40%
    savings

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  28. @nyghtowl
    Goal
    Experts
    Data
    Solution

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  29. @nyghtowl
    Capture Process
    & Train
    Store Analyze
    & Deploy
    Build the Solution

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  30. @nyghtowl
    Capture Process
    & Train
    Store Analyze
    & Deploy
    Build the Solution

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  31. 163 Zetabytes
    (1 trillion gigabytes)
    of data by 2025

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  32. Proprietary + Confidential
    Datacenter as a
    Computer

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  33. @nyghtowl
    Capture Process
    Store Analyze
    & Deploy
    Capture Process
    & Train
    Store
    Build the Solution

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  34. @nyghtowl
    Machine Learning Modeling
    Capture
    & Store
    Train
    Model
    Process Deploy &
    Serve
    Analyze &
    Improve

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  35. @nyghtowl
    Make Data Coherent | Modeling

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  36. @nyghtowl
    Neural Network = tons of multiply and add

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  37. @nyghtowl
    Neural Network can extract hidden features from data

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  38. @nyghtowl
    Neural Network is a function that can learn

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  39. @nyghtowl
    10 yrs => 1 day
    Simplify & Speed up Comprehension

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  40. @nyghtowl
    Machine Learning Modeling
    Train
    Model
    Process Deploy &
    Serve
    Analyze &
    Improve
    Capture
    & Store

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  41. @nyghtowl
    ML Data Lifecycle Solution
    Capture
    & Store
    Train
    Model
    Process
    Deploy &
    Serve
    Analyze &
    Improve
    Pub/
    Sub
    Storage
    Cloud
    SQL
    Bigtable
    Dataflow Dataflow
    BigQuery
    TensorFlow Compute
    Engine
    ML Engine
    Datalab
    ML Engine
    Kubernetes
    Engine

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  42. @nyghtowl
    End to End ML Pipeline
    Inputs Train
    model
    Pre
    processing
    Asset
    Creation
    Distributed
    training,
    Hyper-parameter
    tuning
    Deploy: Including
    Model Versioning
    REST API
    Prediction: load balanced, auto-scaled, scale-to-zero
    Model
    Remote Clients
    REST API call with
    input variables
    Asset
    Creation
    Model +
    Assets

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  43. @nyghtowl
    Goal
    Experts
    Data
    Solution

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  44. @nyghtowl
    Collaboration & Communication
    Business
    Engineers
    Researchers

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  45. @nyghtowl
    Finding Solutions | Partners | Tools
    ➔ Proven experience?
    ➔ Temporary or full production?
    ➔ Scale & flexibility?
    ➔ Turnaround time?
    ➔ Success measure?
    ➔ Fit into existing systems?
    ➔ End to end?

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  46. @nyghtowl
    End to End ML Pipeline
    Inputs Train
    model
    Pre
    processing
    Asset
    Creation
    Distributed
    training,
    Hyper-parameter
    tuning
    Deploy: Including
    Model Versioning
    REST API
    Prediction: load balanced, auto-scaled, scale-to-zero
    Model
    Remote Clients
    REST API call with
    input variables
    Asset
    Creation
    Model +
    Assets

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  47. @nyghtowl
    Language API
    Vision API
    Translate API
    Speech API
    Remove Entry Barriers

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  48. @nyghtowl
    Remote
    Input
    Predictions served, Load balanced, Auto-scaled, Scale-to-zero
    Pretrained ML Pipeline
    REST API
    Capture & Send Deploy & Serve

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  49. @nyghtowl
    Translate
    Perfect translation
    Human
    Neural (GNMT)
    Phrase-based (PBMT)
    English
    >
    Spanish
    English
    >
    French
    English
    >
    Chinese
    Spanish
    >
    English
    French
    >
    Spanish
    Chinese
    >
    Spanish
    Translation model
    Translation quality
    old: PBMT
    new: GNMT

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  50. @nyghtowl
    AutoML Vision
    Input
    Train Deploy Serve
    REST API
    Remote Clients
    AutoML Vision

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  51. @nyghtowl
    Custom ML Modeling
    Collect
    & Store
    Train
    Model
    Process Deploy &
    Serve
    Analyze &
    Improve

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  52. @nyghtowl
    Goal
    Experts
    Data
    Solution

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  53. *Source: IDC
    Applied AI
    Focus & Simplify the Problem
    Utilize External Expertise

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  54. @nyghtowl
    Thank you...
    Lindsay Cade
    Erin O’Connell
    Isabel Markl
    Eli Bixby
    Adam Shin
    Amy Unruh
    Sara Robinson
    June Andrews
    Tyler Benjamin
    Benjamin Chehebar

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  55. @nyghtowl
    Resources
    ● Garnter Road to Enterprise AI:
    https://www.gartner.com/imagesrv/media-products/pdf/rage_frameworks/rage-frameworks-1-
    34JHQ0K.pdf
    ● Google Cloud Platform: https://cloud.google.com/
    ● Launchpad Studio (AI startup incubator):
    https://developers.google.com/programs/launchpad/studio/
    ● Applied AI Examples:
    https://www.forbes.com/sites/robertadams/2017/01/10/10-powerful-examples-of-artificial-inte
    lligence-in-use-today/2/#1efe823e3c8b
    ● TensorFlow: https://www.tensorflow.org/
    ● TensorFlow without a PhD:
    https://cloud.google.com/blog/big-data/2017/01/learn-tensorflow-and-deep-learning-without-a-
    phd
    ● Deep Learning Training: www.fast.ai
    ● End-to-end ML with TensorFlow on GCP:
    https://codelabs.developers.google.com/codelabs/end-to-end-ml/index.html?index=..%2F..%2Fi
    ndex#0

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  56. @nyghtowl
    Image References:
    ● iStock/diego_cervo
    ● iStock/phive2015
    ● iStock/alexialex
    ● iSTock/Rinelle
    ● iStock/Noctiluxx
    ● iStock/VladimirFloyd
    ● istock/Besjunior
    ● https://commons.wikimedia.org/wiki/File:Stones_go.jpg
    ● http://www.ebss.co.jp/ebs/worldwide/service/implementation.htm
    ● https://www.sciencedaily.com/releases/2013/05/130522085217.htm
    ● https://images.yourstory.com/2016/09/Innovation-is-a-state-of-mind.png?auto=compress
    ● Rosenfeld Media | https://www.flickr.com/photos/rosenfeldmedia/6949089460 | Copyright and disclaimer notice:
    https://creativecommons.org/licenses/by/2.0/ | License notice: https://creativecommons.org/licenses/by/2.0/legalcode
    ● https://pixabay.com/en/backgammon-board-game-cube-strategy-1903940/
    ● http://alphastockimages.com/
    ● https://cloud.google.com/speech/
    ● https://dillonspace.blogspot.com/2014/08/hitting-bullseye.html
    ● https://cdn.technologynetworks.com/tn/images/thumbnails/rectangle/cloud-based-research-informatics-improving-collabora
    tion-increasing-agility-and-reducing-operating-289722.png
    ● https://www.techemergence.com/machine-learning-in-genomics-applications/
    ● https://www.biggerpockets.com/renewsblog/wp-content/uploads/2016/03/transcontinental-railroad.jpg
    ● http://goo.gl/fymPMI

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  57. @nyghtowl
    Questions?
    @nyghtowl
    gcppodcast.com

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