HowDeepLearningWillMakeUsMoreHumanAgain

ArnoCandel,PhDCTO,H2O.ai@ArnoCandel

AIFrontiers,SantaClara

Jan12,2017

ThankstotheAmazingH2OTeam!

We are hiring!

H2O.ai Machine Intelligence 3

SoftwareProduct:H2O-AIforBusinessTransformation• ScalableandDistributedDataScienceandMachineLearning:DeepLearning,GradientBoosting,RandomForest, GeneralizedLinearModeling,K-MeansClustering,PCA,GLRM,…

• Apachev2OpenSource(github.com/h2oai)

H2OisEasytoUseandDeploy• h2o.ai/downloadandrunanywhere,immediately• ClientAPIs:R,Python,Java,Scala,REST,FlowGUI• Spark(cf.SparklingWater),Hadoop,Standalone• Auto-generatedJava/C++ScoringCode

H2O.ai-MakersofH2O

https://www.cbinsights.com

H2O.ai-AttheCoreofAI

H2O.ai-LovedByTheBest

Powerful,ScalableTechniquesforDeepLearningandAI

Winyourcopyatourbooth!

Dec2016-brandnew!

H2OBook-WrittenbytheCommunity

H2O.aiMachine Intelligence

UserBasedInsurance

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“H2O is an enabler in how people are thinking about data.”

“We have many plans to use H2O across the different business units.”

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H2O.aiMachine Intelligence

DigitalMarketing-Campaigns

“H2O gave us the capability to do Big Modeling. There is no limit to scaling in H2O.”

“Working with the H2O team has been amazing.”

“The business value that we have gained from advanced analytics is enormous.”

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H2O.aiMachine Intelligence

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MatchingTVWatchingBehaviorwithBuyingBehavior

“Unlike other systems where I had to buy the whole package and just use 10-20%, I can customize H2O to suit my needs.”

“I am a big fan of open source. H2O is the best fit in terms of cost as well as ease of use and scalability and usability.”

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H2O.aiMachine Intelligence

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Insurance-RiskAssessment

“Predictive analytics is the differentiator for insurance companies going forward in the next couple of decades.”

“Advanced analytics was one of the key investments that we decided to make.”

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H2O.aiMachine Intelligence

Fintech-Fraud/Risk/Churn/etc.

“H2O is a great solution because it's designed to be enterprise ready and can operate on very large datasets.”

”H2O has been a one-stop shop that helps us do all our modeling in one framework.”

”H2O is the best solution to be able to iterate very quickly on large datasets and produce meaningful models.”

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H2O.ai Machine Intelligence 12

HighLevelArchitectureofH2O

HDFS

S3

NFS

DistributedIn-Memory

ParallelParser

LosslessCompression

H2OComputeEngine

ProductionScoringEnvironment

Exploratory&DescriptiveAnalysis

FeatureEngineering&Selection

Supervised&UnsupervisedModeling

ModelEvaluation&Selection

Predict

Data&ModelStorage

ModelExport: StandaloneScoringCode

C/C++/Java R/Py/etc.

DataPrepExport:PlainOldJavaObject

Local

SQL

LDAP Kerberos SSL HTTPS

HTTP

H2O.ai Machine Intelligence

NativeAPIs:Java,Scala—RESTAPIs:R,Python,Flow,JavaScript,Java

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library(h2o)h2o.init()h2o.deeplearning(x=1:4,y=5,as.h2o(iris))

importh2o

fromh2o.estimators.deeplearningimportH2ODeepLearningEstimator

h2o.init()

dl=H2ODeepLearningEstimator()

dl.train(x=list(range(1,4)),y="Species",training_frame=iris.hex)

import_root_.hex.deeplearning.DeepLearningimport_root_.hex.deeplearning.DeepLearningParametersvaldlParams=newDeepLearningParameters()dlParams._train=iris.hexdlParams._response_column=‘Speciesvaldl=newDeepLearning(dlParams)valdlModel=dl.trainModel.get

Allheavyliftingisdonebythebackend!

Built-ininteractiveGUIandnotebook-nocodingneeded!

DeepWaterBringsState-Of-The-ArtDeepLearningonGPUstoH2O

H2ODeepLearning:simplemulti-layernetworks,CPUs

H2ODeepWater:arbitrarynetworks,CPUsorGPUs

Limitedtobusinessanalytics,statisticalmodels(CSVdata)

Largenetworksforbigdata(e.g.image1000x1000x3->3minputsperobservation)

1-5layersMBs/GBsofdata

1-1000layersGBs/TBsofdata

Open-Source-LeverageCommunityCode,DataandModels

World’sBestImageClassifier(Google+Microsoft,Aug2016)

https://research.googleblog.com/2016/08/improving-inception-and-image.html

open-sourceimplementation

H2Otakesmxnetgraphdefinitionasinput

BuildyourownmodelswithDeepWaterToday!https://github.com/h2oai/h2o-3/blob/master/h2o-py/tests/testdir_algos/deepwater/pyunit_inception_resnet_v2_deepwater.py

DeepWater-EasiestToUseGPUDeepLearningEver!

Yesterday:SmallData(<GB) Today:BigData(TeraBytes,ExaBytes)

Data+Skillsaregoodforbusiness

Data+MachineLearningAREthebusiness

ThingsareChangingQuickly

ChallengesWithAIandDeepLearning

CEO:“WewilltransformourbusinesswithAI”Management:“HiresomeonetogiveusAI”SeniorDataScientist:“IshouldlookintoAI”JuniorDataScientist:“IuseTensorFlowallthetime”HighSchoolKid:“IdidmyinternshiponDeepLearning”AverageJoe:“Iwantaself-drivingcar(andkeepmyjob)”

StanfordProfessors:“focusoninterpretability,startwithsimplemodels!”

TheHypeandRealityofAI

H2O.aiStanfordAdvisors

stankrdpic

Sri/CEOBoydHastieTibshirani

lastweek

WhichOpen-SourceAIPlatformtoUse?

WhichProgrammingLanguageToUse?

WhichoneforDevelopmentvsProduction?

WhichHardwareToUse?

WhichoneforDevelopmentvsProduction?

Analog/Neuromorphic

WhoDoestheWorkandonWhatInfrastructure?

WhichoneforDevelopmentvsProduction?

Cloud?Which? OnPremise?

DataLake?Micro-Services?

WhichoneforDevelopmentvsProduction?

WhenistheModelGoodEnough?

Crowdsourcing? TrustaGenius? InternalBake-Off?

Whatproblemareyousolvinginthefirstplace?

Whatproblemshould/couldyoubesolvinginstead?

Whatcanyoulearnfromthemodel?

Howcanyouimprovethemodels?More,betterdata?

Howcanyoucharacterizethemodel?

DoyouneedAI,DeepLearningorjustasimplemodel?

BacktotheDrawingBoard!

GradientBoosting Machine

Generalized LinearModeling

DeepLearning

Distributed RandomForest

DoyouneedAI,DeepLearningorjustaSimpleModel?

FutureOfAI:OrWhat’sLeftforHumanstoDo?

CharlieChaplin-ModernTimes1936

FutureOfAI:OrWhat’sLeftforH2O.aitoDo?

H2O.aiisbusyworkingonthenextbestthing!