Attendees & Speakers
Matt Abrams
Seven Peaks VenturesKathryn Hume
Fast Forward LabsClare Corthell
Luminant DataRay Velez
RazorfishAngelique Augereau
Independent ConsultantJon MIller
CylanceRon Talwalkar
CylanceDavid Archer
GaloisBill Welser
RAND CorporationJeff Larson
ProPublicaAaron Rieke
UpturnKatie Amrine
Insight Data ScienceMoises Goldszmidt
SamsungScott Penberthy
PwCDoug Downey
Northwestern UniversityDiego Klabjan
Northwestern UniversityOlly Downs
AmpleroCorey Dow-Hygelund
AmplionIgor Barani
EnliticEvan Macmillan
GridSpaceOsonde Ope Osoba
RAND CorporationAmelia Taylor
Insight Data Science Fellow / ZymergenAlice Albrecht
Simple FinanceAdam Carroll
AmplionMichael Jones
SalesforceMatthew Danielson
AmpleroGarrett Tenold
AmpleroSiri Mehus
Blink UXJeff Alpen
Blink UXTony Falco
Silicon Valley Data ScienceJeff Carr
SlamDataAlex Trisoglio
McKinseyYong Bakos
OSU-CascadesBrian Brennan
Pacific Crest SecuritiesJohn Hummel
District AttorneyChristopher Whittam
NikeMounir Shita
Kimera SystemsDave Baiocchi
RAND CorporationTom Egan
Launch CapitalPreston Callicut
Five Talent SoftwareMachine Learning Summit Agenda
Welcome Dinner & Reception
09/15/16
5:30pm - 8:00pm
The 1001 Tech Center, 1001 SW Emkay Drive, Bend, OR 97702
Opening Remarks
09/16/16
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
9:35-10:05
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
Lunch
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
Dinner
6:00pm - 9:00pm
Breakfast and Outdoor Adventure
09/17/16
8:00am - 11:00am
Informal breakfast and hike in the beautiful local surroundings
Companies
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.
