Opening Notes

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

Cloud, Open Data and the Reproducibility crisis

The Ethics Of Data Science

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

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

Lunch Break

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

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

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

Supporting Business Functions with Knowledge Graphs

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

Networking and Poster Session

Opening Notes

RAPIDS: End to End GPU Data Science (Keynote)

Exploration and diversity in recommender systems

Drive breakthrough innovation by Using power of data

Exploring the Dimensionality of Thought Vectors

Image Selection at Tripadvisor using Deep Learning 

Lunch Break

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

Realistic Content Generation with Machine Learning: Adversarial Attacks, Defenses and Applications

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

Style Conditioned Recommendations

Using CNNs for High Class String Classification at Scale

Break

Offer Recommendation in the presence of eligibility and budget constraints

Large Scale Machine Learning via SQL on Google BigQuery using BQML

Practical Understanding and Deep Representation Learning

Data for Hope 2020 Ceremony

Closing Remarks