September 16, Bend, OR

The big data era enabled organizations to store more data at a lower cost, and process data more quickly and efficiently. Organizations now seek ways to transform their data into meaningful insights, insights that inspire new products, drive revenue, or enable automation that impacts the bottom line.


Machine learning is at the center of this next wave of innovation and growth. But to use new algorithms effectively, organizations should first understand how they work, the reality vs. the hype, and the unique challenges and opportunities to the private sector and society at large.

On September 16th, machine learning practitioners from around the country will gather to discuss the ethics and practical business realities of these emerging technologies.

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Attendees & Speakers
Machine Learning Summit Agenda

Welcome Dinner & Reception


5:30pm - 8:00pm

The 1001 Tech Center, 1001 SW Emkay Drive, Bend, OR 97702

Opening Remarks


9:00am - 9:10am

Matt Abrams, Seven Peaks Ventures

Fairness, Bias, Interpretability: The Ethics of Algorithms

9:10am - 9:35am

Kathryn Hume, Fast Forward Labs

Engineering for Ethics


Clare Corthell, Luminant Data

Fairness in Practice: Marketing with Machine Learning

10:05am - 10:45am

Ray Velez, Razorfish | Angelique Augereau, Independent Consultant

Security & Trust in the Age of AI: A Business Perspective

11:00am - 11:45am

Jon Miller & Ron Talwalkar, Cylance | David Burke, Galois

Angelique Augereau, Independent Consultant   

Machine Learning and the Future of Jobs and Labor

11:45am - 12:30pm

Bill Welser, RAND Corporation 


12:30pm - 1:30pm

Designing for Conversational AI and ML Interfaces - A Q&A Session on Lessons from the Field

1:30pm - 2:00pm

Jeff Alpen, Blink UX

Algorithmic Law Enforcement: Social Justice Issues

2:00pm - 2:30pm

Jeff Larson, ProPublica | Aaron Rieke, Upturn | Katie Amrine, Insight Data Science

Fact or Fiction? Cutting through the Hype around AI

3:00pm - 3:30pm

Moises Goldszmidt, Samsung | Scott Penberthy, PwC | Kathryn Hume, Fast Forward Labs

Advancements in Academic Research

3:45pm - 4:15pm

Doug Downey & Diego Klabjan, Northwestern

Realities, Obstacles & Requirements for Enterprise AI Startups

4:15pm - 5:15pm

Discussion and Demos from Amplero, Amplion, Enlitic, Gridspace, and Manzama


6:00pm - 9:00pm

Breakfast and Outdoor Adventure


8:00am - 11:00am

Informal breakfast and hike in the beautiful local surroundings

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