On Demand

Most AI/ML projects start shipping models into production, where they...

Operationalizing machine learning in an organization isn't only an issue...

ML modeling teams at Twitter face a variety of uniquely...

This talk will focus on methods that ensure the fair...

As teams scale their AI platforms, they must decide which...

How do you set up machine learning projects to be...

The state of artificial intelligence is continuing to advance rapidly,...

Deepak Agarwal, vice president of artificial intelligence at LinkedIn, will...

What should we take away from how web giants and...

Andrew Ng, former Chief Scientist at Baidu and founding lead...

Franziska Bell, PHD leads a team of 100 data scientists...

The search feature is often the first step for online...

Data is central to training and validating every aspect of...

Hosting models and productionizing them is a pain point. Let’s...

Models are the new code: while machine learning models are...

In this talk, we will cover the journey we at...

This panel explores how organizations can go beyond a general...

Productionizing machine learning models in an organization is difficult. The...

Machine learning models are increasingly being used to make critical...

Traditional enterprises are often burdened by factors that make scaling...

Introducing Semblance, a machine learning feature generation system. Semblance features...

In this talk, we will share how SurveyMonkey was able...

We typically hear conference presentations from the single perspective of...

In this panel, we will explore how teams at Airbnb...

Building AI applications comes with significant business risks, and nearly...

Production ML hurdles are often organization-wide hurdles. In this talk,...

In this talk, the Xfinity X1 recommendations platform team at...