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

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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)

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Friday August-14 (Virtual)

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