Rev offers an expanded agenda to foster greater networking, deeper workshops, and hands-on Domino product sessions.

Practitioners

Leadership

8:00-9:40am

Welcome and Registration

9:40-10:05am

Keynote

10:05-10:35am

Keynote

  • Nick Elprin
    CEO, Domino Data Lab
10:35-11:00am

Sponsored Keynote

11:00-11:30am

Break

11:30am-12:15pm

Before You Build: The Checklist for Ensuring Worthwhile Work

  • Max Shron
    Warby Parker

Generating a Data Science Flywheel at the Business Core

12:15-1:30pm

Lunch

1:30-2:15pm

Improving R&D Workflows for Better, Faster Results

To Build or Not To Build Your Data Science Platform

2:15-3:00pm

Doing More with Less: Avoiding "Zero Loop" Experiments

Preventing PR Disaster through Model Risk Mitigation

3:00-3:45pm

Running a Data Science Design Sprint

Panel

Advice for Growing & Managing a Team

3:45-4:30pm

Fast-tracking Model Delivery with Domino

Operationalizing Data Science with People, Process & Technology

4:30-5:15pm

Domino Product Roadmap

5:15-7:30pm

Reception

Practitioners

Leadership

8:00-9:40am

Welcome and Registration

9:40-10:05am

Keynote

10:05-10:35am

Keynote

10:35-11:00am

Sponsored Keynote

11:00-11:30am

Break

11:30am-12:15pm

Jupyter Best Practices and Interoperability with Other Tools

Greater Data Science: Protecting Birds from Effects of Climate Change

  • Chad Wilsey
    Audubon Society
12:15-1:30pm

Lunch

1:30-2:15pm

Model Monitoring without Headaches

Deciding What Measurement & Management Capabilities Matter

2:15-3:00pm

Leveraging GPUs for Deep Learning

Quantifying the Value of Your Data Science Platform Investment

3:00-3:45pm

Best Practices for Domino Admins

Workshop

Managing Data Science in the Enterprise

3:45-4:30pm

Aligning with IT

4:30-5:15pm

Data (Science) Ethics: Avoiding Artificial Stupidity