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Monday
, October 15
Nanigans
9:00am •
Deep Learning Kickstart with Keras — Training Workshop
Tuesday
, October 16
Deborah Sampson
11:00am •
Production Machine Learning with a Domain Specific Language
11:30am •
DevOps for AI Applications
12:00pm •
Designing Services for Recommending Jobs to College Students
2:00pm •
How to Go From Data Science to Data Operations
2:30pm •
A Config-based Framework for Productionized Machine Learning
3:00pm •
Unpredictable predictions of self-driving cars AI
Expo area
8:15am •
Welcome & Registration
10:30am •
Expo - Networking - Coffee
12:30pm •
Expo - Networking - Lunch
3:30pm •
Expo - Networking - Coffee
5:30pm •
Drinks!
Horace Mann
9:00am •
Opening remarks
9:05am •
What computers can teach us about humans: Machine Learning in marketing
9:30am •
Keep It Simple, Stupid: Driving Model Adoption Through Tiers
10:00am •
Open AI for Advertisers: Discover Your Audience
10:10am •
Style Driven Recommendations @ Wayfair
11:00am •
AI for Software Testing with Deep Learning: Is it possible?
11:30am •
Genetic Programming in the Real World: A Short Overview
12:00pm •
Machine Learning Interpretability in the GDPR Era
2:00pm •
Facial Recognition Adversarial Attacks, Policy and Choice
2:30pm •
Developing and Deploying ML Algorithms in a Clinical Setting
3:00pm •
The Right Amount of Trust for AI
4:00pm •
The secret life of predictive models
4:50pm •
Startup Pitches
5:00pm •
AI Startup Battle
Wednesday
, October 17
Deborah Sampson
11:00am •
Putting five ML models to production in five minutes
11:10am •
Crowdsourced Human Intelligence in AI
11:20am •
Beyond the Model: Operationalizing 4,586 Bigfoot Sightings
11:45am •
QuSandbox: A lifecycle based approach to model governance
11:55am •
Automated Data Preparation and Machine Learning
12:05pm •
QuickCode: Label your training data fast and transparently
2:00pm •
What's inside the box: comparing data across ML platforms
2:40pm •
BigML demo
2:50pm •
Unifying Microsoft's ML Ecosystems at Massive Scales with MMLSpark
Expo area
8:15am •
Welcome & Registration
10:30am •
Expo - Networking - Coffee
12:30pm •
Expo - Networking - Lunch
3:00pm •
Expo - Networking - Coffee
Horace Mann
9:00am •
Designing automated pipelines for unseen custom data
9:30am •
Migrating ML from research to production
10:00am •
Lightning Talks
11:00am •
Monitoring AI with AI
11:30am •
Reasoning About Uncertainty at Scale
12:00pm •
Creating Robust Interpretable NLP Systems with Attention
2:00pm •
Architectures for big scale 2D imagery
2:30pm •
Would you have clicked on what we would have recommended?
3:30pm •
Unintended consequences of AI — panel discussion
4:00pm •
Solving the Data Science Time Series Forecasting Challenge
Timezone
PAPIs 2018
America/New York
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PAPIs 2018
Oct 15
-
17, 2018
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, October 15
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, October 16
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, October 17
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1 Memorial Drive, Cambridge, MA, USA
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Deborah Sampson
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Nanigans
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