Virtual Event Agenda

July 17, 2021           9AM - 1:00PM PDT

Sessions will be recorded and uploaded to Youtube

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Event Kickoff

9:00am - 9:15am PDT

Beverly Wright

Chief Analytics Strategist @ Axis Group

Conference MC

Mark Moyou 

Senior Data Scientist @NVIDIA

Conference Director SDSC

Welcoming everyone to the event

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ML Models in Image Search: Selecting for the User

9:15am - 9:45am PDT

Andrea Gagliano

Director of ML/AI @ Getty Images

Image search relies on many different types of data – some sourced from image creators, some developed by machine learning models, some extracted from the surrounding image context. Different data is optimal for different search models, but what data is best for the user? This talk will discuss leveraging machine learning in image search, while keeping the user top of mind.   

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NLP at Scale

9:45am - 10:15am PDT 

Andrei Lopatenko

VP Engineering, Head of Search and Conversational AI @ Zillow 

 A deep dive into industrial applications of NLP and best practices for building NLP systems

5 Minute Break

10:15am - 10:20am PDT 

Go grab a coffee

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Training Models at Scale on the Cloud with Grid.ai

10:20am - 10:50am PDT

William Falcon

CEO & Founder @ Grid.ai

Creator of PyTorch Lightning

This session is about how to train models on the cloud without changing a single line of code. From model development to hyperparameter sweeps, Grid automates all the engineering, so you can focus on machine learning instead of getting bogged down in infrastructure bottlenecks. In this session, William will walk you through the general workflow of research, from creating a hypothesis on a model on jupyterlab or on SSH to training a large-scale network using multiple GPUs simultaneously without having to change a single line of code. 

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Machine Learning Strategies for Kaggle vs. Industry

10:50am - 11:20am PDT 

Philipp Singer

Senior Data Scientist @ H20.ai

Kaggle Grandmaster

Description coming soon

10 Minute Break

11:20am - 11:30am PDT 

Go grab a coffee

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Graph Data Science: What’s the Big Deal?

11:30am - 11:55am PDT

Alicia Frame 

Director of Data Science @ Neo4J

By now, you've probably heard about graphs and data science – whether from a Gartner top trends report or an academic paper on the latest neural network or AI/ ML techniques. But what is graph data science, and why should you care? In this talk we'll explain how graph technology allows you to build more accurate predictive models and answer questions you couldn’t otherwise by analyzing the relationships between your data. We'll also cover common use cases for graphs in data science and how Neo4j helps you operationalize graph data science at scale.

Closing Remarks

Hope you had a great event.

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Interactive Networking

12:00pm - 12:20pm PDT

Multiple rounds of zoom networking in breakrooms. 

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Mock Interviews with Industry Data Scientists

12:20pm - 1:00pm PDT

Practice interviewing skills with Data Scientists from industry.