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Reactive for Machine Learning Teams

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Jeff Smith
Jeff Smith

Presented at O'Reilly's Software Architecture Conference NYC 2017

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Reactive for Machine Learning Teams Jeff Smith @jeffksmithjr
Context
Machine Learning
Classification
History
Naive ML Architecture
Components
Data Collectors
Pipelines Raw Data FeaturesFeature Generation Pipeline Raw Data FeaturesFeature Generation Pipeline
Model Publishers
Model Servers and Microservices
Model Metrics
Model Supervisors
Reactive
Reactive
Reactive Traits
Responsive
Elastic
Resilient
Message Driven
Reactive Strategies
Reactive Machine Learning
Data
Data
Data
Getting Reactive
Big, Fast, & Hairy
Beginning
Time Communication Failure Load Request Response System
Reactive Traits
Reactive Strategies
Building on Success
Metrics & Instrumentation
Containment
Impact
For Later
Use the code ctwsacon17 for 40% off
x.ai @xdotai hello@human.x.ai New York, New York
Questions @jeffksmithjr

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Reactive for Machine Learning Teams