Wednesday August-12
(Virtual)

Opening Notes
8:30am - 8:45am EST
Khalifeh AlJadda (Conference Chair)

The Four Grand Challenges of Robots in the Home (Keynote)
8:45am - 9:30am EST
Brandon Rohrer (iRobot)

Cloud, Open Data and the Reproducibility crisis
9:30am - 10:00am EST
Vani Mandava (Microsoft Research)

The Ethics Of Data Science
10:00-10:30am EST
Bill Franks (IIA)

Recent Advances and Challenges in E-Commerce Search and Recommendation Systems
10:30am - 11:00am EST
Liangjie Hong (LinkedIn)

Personalization as a strategy : Lessons from building personalized recommender systems at Wayfair
11:00pm - 11:30pm EST
Sunanda Parthasarathy (Wayfair)

Lunch Break
11:30pm - 12:40pm EST

TensorFlow 2.0, Keras, and the future of Deep Learning (Keynote)
12:45pm - 1:30pm EST
François Chollet (Google AI)

Managing Data Science with V2MOM, Scrum and Cross-functional Squads
1:30pm - 2:00pm EST
Thanh Tran (Upwork)

How Data Science is changing Real-World Evidence in Life Sciences
2:00pm - 2:30pm EST
Iryna Skrypnyk (Eversana)

Supporting Business Functions with Knowledge Graphs
2:30pm - 3:00pm EST
Lee Hong (L Brands)

Break
3:00pm - 3:30pm EST

How Reinforcement Learning Paired with Commoditized AI Helped Large Retailer Offer Faster Fashion Merchandise with a “Personalized” Touch
3:30pm - 4:00pm EST
Laura Edell (Microsoft)

Non-English Search as Machine Learning Problem
4:00pm - 4:30pm EST
Ramzi Alqrainy (Open Sooq)

The 5 Secrets to Launch Your Data Career
4:30pm - 5:00pm EST
Renata Afi Rawlings-Goss (South Big Data Hub)

Startup World Cup Competetion
5:00pm - 6:30pm EST
SWC Regional Competetion

Closing Remarks
Khalifeh AlJadda (Conf. Chair)

Networking and Poster Session
6:30pm - 8:30pm EST
Thursday August-13
(Virtual)

Opening Notes
8:30am - 8:45am EST
Khalifeh AlJadda (Conference Chair)

RAPIDS: End to End GPU Data Science (Keynote)
8:45 - 9:30am
Josh Patterson (NVIDIA)

Exploration and diversity in recommender systems
9:30am - 10:00am EST
Jaya Kawali (Tubi)

Drive breakthrough innovation by Using power of data
10:00am - 10:30am EST
Ebru Evliyaoglu Akyuz (Microsoft)

Exploring the Dimensionality of Thought Vectors
10:30am - 11:00am EST
Trey Grainger (Searchkernel)

Image Selection at Tripadvisor using Deep Learning
11:00am - 11:30am EST
Anyi Wang (TripAdvisor)

Lunch Break
11:30am - 12:40pm

Data Science: A Vision of Things to Come (Keynote)
12:45pm - 1:30pm EST
Joel Grus (Capital Group)

Realistic Content Generation with Machine Learning: Adversarial Attacks, Defenses and Applications
1:30pm - 2:00pm EST
Sarfaraz Hussain (Home Depot)

Analyzing email campaign content and audience with NLP deep learning models and BigQuery ML
2:00pm - 2:30pm EST
Stephane Pinel (Mailchimp)

Style Conditioned Recommendations
2:30pm - 3:00pm EST
Murium Iqbal (Faire)

Using CNNs for High Class String Classification at Scale
3:00pm - 3:30pm EST
Jimmy Hendricks (Cardlytics)

Break
3:30pm - 4:00pm EST

Offer Recommendation in the presence of eligibility and budget constraints
4:00pm - 4:30pm EST
Shreya Chakrabarti (Amazon)

Large Scale Machine Learning via SQL on Google BigQuery using BQML
4:30pm - 5:00pm EST
Sanjay Agravat (Google)

Practical Understanding and Deep Representation Learning
5:00pm - 5:30pm EST
Mike Tamir (SIG)

Data for Hope 2020 Ceremony
5:30pm - 6:00pm EST
Beverly Wright (ATLytiCS)

Closing Remarks
Khalifeh AlJadda (Conf. Chair)