PAPIs 2018 has ended

Create Your Own Event

PAPIs 2018

9:00am EDT

Deep Learning Kickstart with Keras — Training Workshop NanigansLouis Dorard

8:15am EDT

Welcome & Registration Expo area

9:00am EDT

Opening remarks Horace MannSunanda Koduvayur

9:05am EDT

What computers can teach us about humans: Machine Learning in marketing Horace MannMelinda Han Williams

9:30am EDT

Keep It Simple, Stupid: Driving Model Adoption Through Tiers Horace MannJamie Warner

10:00am EDT

Open AI for Advertisers: Discover Your Audience Horace MannSaket Mengle

10:10am EDT

Style Driven Recommendations @ Wayfair Horace MannVinny DeGenova

10:30am EDT

Expo - Networking - Coffee Expo area

11:00am EDT

AI for Software Testing with Deep Learning: Is it possible? Horace MannEmerson Bertolo Production Machine Learning with a Domain Specific Language Deborah SampsonZachary Kozick

11:30am EDT

Genetic Programming in the Real World: A Short Overview Horace MannLeonardo Trujillo DevOps for AI Applications Deborah SampsonRichin Jain

12:00pm EDT

Machine Learning Interpretability in the GDPR Era Horace MannGregory Antell Designing Services for Recommending Jobs to College Students Deborah SampsonHarlan D. Harris

12:30pm EDT

Expo - Networking - Lunch Expo area

2:00pm EDT

Facial Recognition Adversarial Attacks, Policy and Choice Horace MannGretchen Greene How to Go From Data Science to Data Operations Deborah SampsonGil Benghiat

2:30pm EDT

Developing and Deploying ML Algorithms in a Clinical Setting Horace MannNeil Tenenholtz A Config-based Framework for Productionized Machine Learning Deborah SampsonMelanie Goetz

3:00pm EDT

The Right Amount of Trust for AI Horace MannChris Butler Unpredictable predictions of self-driving cars AI Deborah SampsonIskandar Sitdikov

3:30pm EDT

Expo - Networking - Coffee Expo area

4:00pm EDT

The secret life of predictive models Horace MannClaudia Perlich

4:50pm EDT

Startup Pitches Horace Mann

5:00pm EDT

AI Startup Battle Horace Mann

5:30pm EDT

Drinks! Expo area

8:15am EDT

Welcome & Registration Expo area

9:00am EDT

Designing automated pipelines for unseen custom data Horace MannKevin Moore

9:30am EDT

Migrating ML from research to production Horace MannConrado Silva Miranda

10:00am EDT

Lightning Talks Horace Mann

10:30am EDT

Expo - Networking - Coffee Expo area

11:00am EDT

Putting five ML models to production in five minutes Deborah SampsonVillu Ruusmann Monitoring AI with AI Horace MannIskandar Sitdikov

11:10am EDT

Crowdsourced Human Intelligence in AI Deborah SampsonJennie Kelly

11:20am EDT

Beyond the Model: Operationalizing 4,586 Bigfoot Sightings Deborah SampsonGuy Royse

11:30am EDT

Reasoning About Uncertainty at Scale Horace MannMax Livingston

11:45am EDT

QuSandbox: A lifecycle based approach to model governance Deborah SampsonSri Krishnamurthy

11:55am EDT

Automated Data Preparation and Machine Learning Deborah SampsonLars Bauerle • Pavithra Rao

12:00pm EDT

Creating Robust Interpretable NLP Systems with Attention Horace MannAlexander Wolf

12:05pm EDT

QuickCode: Label your training data fast and transparently Deborah SampsonPatrick Lam

12:30pm EDT

Expo - Networking - Lunch Expo area

2:00pm EDT

Architectures for big scale 2D imagery Horace MannZbigniew Wojna What's inside the box: comparing data across ML platforms Deborah SampsonRay Deck

2:30pm EDT

Would you have clicked on what we would have recommended? Horace MannPeter B. Golbus

2:40pm EDT

BigML demo Deborah SampsonPoul Petersen

2:50pm EDT

Unifying Microsoft's ML Ecosystems at Massive Scales with MMLSpark Deborah SampsonMark Hamilton

3:00pm EDT

Expo - Networking - Coffee Expo area

3:30pm EDT

Unintended consequences of AI — panel discussion Horace MannSunanda Koduvayur • Gretchen Greene • Iskandar Sitdikov • Jamie Warner

4:00pm EDT

Solving the Data Science Time Series Forecasting Challenge Horace MannMichael Schmidt