Catalyzing Deep Learning's

Impact in the EnterpriseAndres Rodriguez, PhD

January 11, 2017

AIFrontiers

[adapted from a talk by Arjun Bansal, Intel Nervana]

MAKING MACHINES

SMARTER.™

AI can transform the world for the better

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SAFER HEALTHIER HAPPIER

But how does your enterprise win in this space?

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1. Use an existing model

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SegNet

AIICNN

bAbI

Q&A

GoogLeNet

Alexnet

Deep

Speech 2VGG

Sentiment Analysis

2. Train with your data

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http://vision.stanford.edu/Datasets/collage_s.png

https://www.kaggle.com/c/dogs-vs-cats

2. Train with your data

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http://vision.stanford.edu/Datasets/collage_s.png

http://adas.cvc.uab.es/task-cv2016/papers/0026.pdf

TALENT POOL

Talent is tight

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3. Use Professional Services

GIVE A PERSON

A FISH

4. Train your staff

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TEACH THEM

HOW TO FISH

5. Evaluate lock-in

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6. If your org requires it - have an on premise plan

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Buys and

provisions

enterprise brands

piecemeal

Managed with

VMware

Organized and

managed with

vblocks

Commodity

hardware +

OpenStack

Uses Public

Cloud

6. …or go straight to a cloud service

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Buys and

provisions

enterprise brands

piecemeal

Managed with

VMware

Organized and

managed with

vblocks

Commodity

hardware +

OpenStack

Uses Public

Cloud

SKIP UNNECESSARY SPENDING

7. Use a scalable cloud service

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8. Embrace ludicrous speed

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8. Embrace ludicrous speed

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DEEP LEARNING

PROCESSOR

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TeraOps

9. Plan a Data Strategy

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…

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TOps

10. Have a deployment strategy

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Intel Nervana has you covered

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Images

Video

Text

Speech

Tabular

Time

series

Solutions

Intel Nervana in action

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Healthcare: Tumor detection

Automotive: Speech interfacesFinance: Time-series search

engine

Positive:

Negative:

Agricultural Robotics Oil & Gas

Positive:

Negative:

Proteomics: Sequence analysis

Query:

Results:

NERVANA