Registration and Breakfast

Opening Notes

TensorFlow 2.0, Keras, and the future of Deep Learning (Keynote)

Cloud, Open Data and the Reproducibility crisis

Recent Advances and Challenges in E-Commerce Search and Recommendation Systems

RAPIDS: End to End GPU Data Science

Personalization as a strategy : Lessons from building personalized recommender systems at Wayfair

Lunch and CxO Roundtable

The Four Grand Challenges of Robots in the Home (Keynote)

Managing Data Science with V2MOM, Scrum and Cross-functional Squads

How Data Science is changing Real-World Evidence in Life Sciences

Data Science For Social Network – Challenges In Connecting The Global Professionals

Coffee Break

How Reinforcement Learning Paired with Commoditized AI Helped Large Retailer Offer Faster Fashion Merchandise with a “Personalized” Touch

Non-English Search as Machine Learning Problem

The 5 Secrets to Launch Your Data Career

Startup World Cup Competetion

Closing Remarks

Reception and Networking Event (Poster session)

Registration and Breakfast

Opening Notes

Data Science: A Chilling Vision of Things to Come (Keynote)

Sequential decision making in recommendation systems

Drive breakthrough innovation by Using power of data

Exploring the Dimensionality of Thought Vectors

Image Selection at Tripadvisor using Deep Learning 

Lunch

Keynote

The Many Applications of Learning to Rank, from Recommendations to Trading

Analyzing email campaign content and audience with NLP deep learning models and BigQuery ML

Style Conditioned Recommendations

Delta Air Lines use of decision science models to optimally solve disruptions

Coffee Break

Offer Recommendation in the presence of eligibility and budget constraints

Opportunities and Challenges using ML for Operations

Practical Understanding and Deep Representation Learning

Data for Hope 2020 Ceremony

Closing Remarks