H2O World 2017 has ended

Create Your Own Event

H2O World 2017

8:30am PST

Registration & Breakfast Computer History Museum Hackathon Bohle

9:30am PST

Keynote - SriSatish Ambati - CEO H2O.ai Maryam-Curie Stage

10:32am PST

Keynote - Jim McHugh - VP NVIDIA Maryam-Curie Stage

11:04am PST

Keynote - Stephen Boyd - Professor, Stanford University Maryam-Curie Stage

12:00pm PST

Lunch Computer History Museum

1:00pm PST

Drive Away Fraudsters With Driverless AI - Venkatesh R. - PayPal Maryam-Curie Stage Crowdsourcing, computer vision, and data science for conservation - Tanya Berger-Wolf - IBEIS.org Srinivasa Ramanujan Stage Driverless AI - Introduction and a Look Under the Hood + Hands-On Labs - Arno Candel - H2O.ai Paul Erdos Stage

1:30pm PST

Credit Trends and Machine Learning - Michele Raneri - Experian Maryam-Curie Stage Repurposing data to solve emerging business problems - Arturo Castellanos - CUNY Srinivasa Ramanujan Stage

2:00pm PST

Session by Karthikeyan Aaravabhoomi - Capital One Maryam-Curie Stage Anti-Money Laundering - Ashrith Barthur - H2O.ai Srinivasa Ramanujan Stage

2:02pm PST

Automatic Machine Learning + Hands-on Labs on H2O3 - Erin Ledell - H2O.ai Paul Erdos Stage

2:30pm PST

Equifax Ignite - More Data. Better Insights. Faster Implementation - David Ferber & Pinaki Ghosh - Equifax Maryam-Curie Stage Open Mic Srinivasa Ramanujan Stage

3:00pm PST

PM Break Computer History Museum

3:15pm PST

A 2017 retrospective on AI in Healthcare and Life Sciences: Data, Algorithms and Infrastructures - Sanjay Joshi - H2O.ai Paul Erdos Stage Design Patterns for Machine Learning in Production - Sergei Izrailev - BeeswaxIO Maryam-Curie Stage HR Analytics: Using Machine Learning to Predict Employee Turnover - Matt Dancho - Business Science Srinivasa Ramanujan Stage

3:37pm PST

Healthcare, Spark, H2O, EMR, Production - Adam Sullivan - Change Healthcare Paul Erdos Stage

3:45pm PST

Predicting and Preventing Avoidable Truck Rolls (ATR) - Bernard Burg, Bhavana Bhasker, Ryan March - Comcast Maryam-Curie Stage Explaining Black-Box Machine Learning Predictions - Sameer Singh - UC Irvine Srinivasa Ramanujan Stage

4:10pm PST

Forecasting Influenza-Like Illnesses - Kaiser Permanente Team Paul Erdos Stage

4:15pm PST

Bringing scientists to data to accelerate discoveries and improve human health - Somalee Datta - Stanford University Srinivasa Ramanujan Stage Financial Services Panel Maryam-Curie Stage

4:37pm PST

Healthcare Panel Paul Erdos Stage

5:00pm PST

Driverless AI Hands-On Lab - Redo! Paul Erdos Stage Evening Reception Computer History Museum

8:00am PST

Breakfast & Networking Computer History Museum

8:30am PST

Hackathon Bohle

9:00am PST

Keynote - Eddy Ortiz - VP, Innovation & Solution Acceleration- RBC Maryam-Curie Stage

9:32am PST

Keynote - Rob Tibshirani - Professor, Stanford University Maryam-Curie Stage

10:17am PST

Keynote - Jeff Herbst - VP Business Development, NVIDIA Maryam-Curie Stage

10:50am PST

AM Break Computer History Museum

11:00am PST

Deep learning-based AI for the Enterprise - Sumit Gupta - IBM Paul Erdos Stage Machine Learning in HCM - Xiaojing Wang - ADP Maryam-Curie Stage How to design deep networks to process images on mobile devices - Karunkar Singamreddy - Digitalist Group Srinivasa Ramanujan Stage

11:20am PST

Supervised Learning with Unstructured Text Data - Megan Kurka - H2O.ai Paul Erdos Stage

11:30am PST

Scaling Machine Learning at Booking.com with H2O Sparkling Water and FeatureStore - Luca Falsina & Ben Teeuwen - Booking.com Maryam-Curie Stage Natural Language Processing - Darren Cook - QQ Trend Srinivasa Ramanujan Stage

11:40am PST

Auto Visualization - Leland Wilkinson - H2O.ai Paul Erdos Stage

12:00pm PST

Lunch Computer History Museum Open Mic Srinivasa Ramanujan Stage

1:00pm PST

Use of H2O for Mobile Transaction Anomaly detection - Donald Gennetten & Rahul Gupta - Capital One Maryam-Curie Stage Best Practices for Enterprises Taking a Platform-Based Approach to Data Science - William Merchan - Datascience.com Srinivasa Ramanujan Stage Hands-on Lab - Sparkling Water - Jakub Hava - H2O.ai Paul Erdos Stage

1:30pm PST

From H2O to Steam - Dr. Bingwei Liu, Sr. Data Engineer, Aetna Maryam-Curie Stage Distributed Learning of Rule Ensemble Models with H2O - Giovanni Seni - Amazon's A9 Srinivasa Ramanujan Stage

2:00pm PST

Robust approach to machine learning models comparison - Dmitry Larko - H2O.ai Maryam-Curie Stage GPU-powered Visualization, Data Analysis and Machine Learning - Ashish Sahu & Mateusz Dymczyk - Mapd Technologies & H2O.ai Srinivasa Ramanujan Stage

2:02pm PST

Driverless Hands-on focused on Machine Learning Interpretability - Patrick Hall, Navdeep Gill, Mark Chan - H2O.ai Paul Erdos Stage

2:30pm PST

Talk by Matt Dowle Srinivasa Ramanujan Stage

2:40pm PST

Driver Vs Driverless AI - Mark Landry - H2O.ai Maryam-Curie Stage

3:00pm PST

PM Break Computer History Museum

3:15pm PST

Leakage in Meta Modeling And Its Connection to HCC Target-Encoding - Mathias Müller - H2O.ai Maryam-Curie Stage Automating Data Science with Robots - Pablo Abreu, VP Head of Data Science, Socure Srinivasa Ramanujan Stage Hands-on Lab - H2O4GPU - Jonathan C. McKinney - H2O.ai Paul Erdos Stage

3:45pm PST

Harnessing AI to Create a Trillion Dollar Asset Class - John Mercer, Ledger Investing Srinivasa Ramanujan Stage Autokazanova42 - Marios Michailidis - H2O.ai Maryam-Curie Stage

4:15pm PST

Enterprise Chatbots: Looking Beyond Telling the Weather - Sanjana Reddy - SAP Srinivasa Ramanujan Stage

4:25pm PST

Kaggle Grandmaster Panel Maryam-Curie Stage

4:27pm PST

AI in Enterprise Panel Paul Erdos Stage

4:45pm PST

Open Mic Srinivasa Ramanujan Stage

5:10pm PST

Closing Remarks with Sri Computer History Museum

5:15pm PST

Event Concludes Computer History Museum