Jo-fai(Joe)Chow,DataScienceEvangelistH2O.ai

joe@h2o.ai|@h2oai

JointheConversation#OpenPOWERSummit

AcceleratingAIDeploymentwithH2ODriverlessAIonIBMPower9

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H2O.aiOverview

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Company Founded in Silicon Valley in 2012Funded: $75M Investors: Wells Fargo, NVIDIA, Nexus Ventures, Paxion Ventures

Products • H2O Open Source Machine Learning (14,000 organizations)• H2O Driverless AI – Automatic Machine Learning

Leadership Leader in Gartner MQ Machine Learning and Data Science Platform

Team 120 AI experts (Kaggle Grandmasters, Distributed Computing, Visualization)

Global Mountain View, London, Prague, India

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AGrowingCustomerBase

This “H2O.ai'sreferencecustomersgaveitthehighestoverallscoreforsales

relationshipandoverallserviceandsupport”- GartnerMQ2018

Financial InsuranceMedia & MarketingTelcosIndustrial Retail HealthcareAdvisory,

Accounting & Government

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GrowingWorldwideOpenSourceCommunity

14,000CompaniesusingH2O

155,000datascientists 116KMeetupMembers

H2OWorldNYC,London,SF

Thousandsattendingliveandonline

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H2O.aiisaLeader inthe2018GartnerDataScienceandMachineLearningPlatformsMagicQuadrant• Technologyleaderwithmostcompletenessofvision

• Recognizedforthemindshare,partnernetworkandstatusasaquasi-industrystandardformachinelearningandAI

• H2O.aicustomersgavethehighestoverallscore amongallthevendorsforsalesrelationshipandaccountmanagement,customersupport(onboarding,troubleshooting,etc.)andoverallserviceandsupport

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GettheGartnerMagicQuadranthere

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PartnerEcosystem

StrategicPartners

Cloud ProvidersHW Vendors System Integrators

Value Added Resellers

Data Stores

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H2O.ai Product Suite

In-Memory, Distributed Machine Learning Algorithms

with H2O Flow GUI

H2O AI Open Source Engine Integration with Spark

Lightning Fast machine learning on GPUs

Automatic feature engineering, machine

learning and interpretability

• 100%opensource– ApacheV2licensed• Builtfordatascientists– interfaceusingR,Python

onH2OFlow(interactivenotebookinterface)• EnterpriseSupportsubscriptions

• Enterprisesoftware• Builtfordomainusers,analysts&

datascientists– GUIbasedinterfaceforend-to-enddatascience

• Fullyautomatedmachinelearningfromingesttodeployment

• User licensesonaperseatbasis(annualsubscription)

Open Source

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Why Driverless AI?

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Driverless AI: Automates Data Science and ML Workflows

Driverless AI

10H2OTeam

OriginofRPackage`ggplot2`

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Automatic VisualizationAutomaticScagnosticsandothervisualizationstogeneratethemostrelevantvisualizationsforeachdataset

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1st

4th

25th

48th33rd

KaggleGrandmasters(andtheirHighestRank)

13th

About80,000Kagglers

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1st

4th

25th

48th33rd

13th

181stHopingtogetclosertothematsomepoint…

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Secret Sauce: 1) Grandmaster Feature Engineering

Numerical/Categorical Interactions, Target Encoding, Clustering, Dimensionality Reduction, Weight of Evidence, etc.

Time-Series: Lags and historical aggregates with causality constraints

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Secret Sauce: 2) Grandmaster Pipeline Tuning + Validation

19,000 features tested

1,000 models trained

reliable generalization estimates (overfitting avoidance)

Example: Driverless AI BNP Paribas on 3-GPU workstation

evolutionary strategies

DOI:10.1126/science.aaa9375

MTV

1 final optimalscoring pipeline

massively parallel processing(multi-CPU, multi-GPU)

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https://web.stanford.edu/~hastie/Papers/ESLII.pdf

http://www.deeplearningbook.org

Statistical Learning vs Deep Learning - We Do Both!

Typically better for structured data(CSV, SQL, Transactional)

Typically better for unstructured data(Images, Video, Audio, Text)

GLM/CART/RF/GBM/XGBoostK-Means/PCA/SVD

TensorFlow Deep Learning

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• Automatic feature engineering to increase accuracy - AlphaGo for AI

• Automatic Kaggle Grandmaster recipes in a box for solving wide variety of use-cases

• Automatic machine learning to find and tune the right ensemble of models

Accuracy

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Interpretability

• Interpretability for debugging, not just for regulators

• Get reason codes and model interpretability in plain english

• K-Lime, LOCO, partial dependence and more

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Deployment: Auto Generated Pipelines

Driverless AI = AI to do AI

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BinaryClassification

LiveDemo

https://www.kaggle.com/c/bnp-paribas-cardif-claims-management

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BinaryClassification

LiveDemo

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DriverlessAIExperiment– LiveDemo

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Deployment:ScoringPipelineExample

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valid license

Pipelines generated from Driverless AI experiment

New data (raw features only, no target)

Fast, practical scoring speed in ms(including all feature engineering and scoring steps)

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PythonAPI:RunningDriverlessAIwithaScript

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DriverlessAIonIBMPower

docs.h2o.ai

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DriverlessAIonIBMPower

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DriverlessAIDelivers“ExpertDataScientistinaBox”

• CreatedandsupportedbyworldrenownedAIexperts

• EmpowerscompaniestoaccomplishAIandMLwithasingleplatform

• Performsthefunctionofanexpertdatascientistandaddsmorepowertobothnoviceandexpertteams

• Detailsandhighlightsinsightsandinterpretabilitywitheasytounderstandresultsandvisualizations

21dayfreetrialforDriverlessAI

OurFlagshipCommunityEvent– H2OAIWorldisfinallycomingtoLondon!

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29th &30th Oct,London

Morereal-worldusecases

+AllH2OKaggleGrandmasters

+Hands-onTraining

• MoreInfo,Code,andSlides• bit.ly/h2o_meetups

• Contact• joe@h2o.ai• @matlabulous• github.com/woobe

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Thanks!