Track: The Practice & Frontiers of AI

Location: Bayview AB

Day of week: Monday

Building robust, production-ready machine learning pipelines is usually a far removed experience from participating in the highly sanitized world of Kaggle competitions and million dollar Netflix prizes. Input data often needs to be prepared before model training can begin, sophisticated algorithms that work on sample data sets need to be scaled to large production data sets, platforms & pipelines are needed to regularly and reliably retrain and redeploy models, a wide-range of SLAs from hours to seconds need to be met, etc… Aside from the practical challenges of productizing AI, what are latest innovations in the field? Come to this track to learn how leaders in the industry build innovative ML-driven applications & systems as well as learn about some of the latest advances in the field.

Track Host:
Shubha Nabar
Sr. Director @Salesforce Einstein
10:35am - 11:25am

Open Space
11:50am - 12:40pm

by Nikhil Dandekar
Leads NLP @Quora

Quora's mission is to share and grow the world’s knowledge. On Quora, people ask questions on a wide range of topics and Quora surfaces those questions to people with relevant credentials and experiences so they can respond with an insightful, helpful answer. The more you use Quora—whether it’s to ask a question, answer one, or follow people or topics of interest—the better Quora gets. We’re constantly improving our ability to personalize an experience that’s filled with people, questions,...

1:40pm - 2:30pm

Abstract Coming Soon

2:55pm - 3:45pm

Abstract Coming Soon

4:10pm - 5:00pm

Abstract Coming Soon

5:25pm - 6:15pm

by Sarah Aerni
Senior Manager, Data Science @Salesforce

Companies are redefining their businesses by building models and learning from data. Whether it is using data science to predict their best sales and marketing targets, automating digital customer interactions using bots, or reducing waste in logistics and manufacturing - Artificial Intelligence will improve your business once deployed.

Serving up good predictions at the right time to drive the appropriate action is hard. It...

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Tracks