Real-World Machine Learning Stories

October 15-17, 2018 | Boston

THE PAPIS EXPERIENCE

Our focus is on real-world ML: applications, engineering, new techniques, and tools. Come listen to war / failure / success stories, see amazing demos, and speak with international experts!

PAPIs is the conference made by and for ML practitioners. Anyone can submit talk proposals (blind-reviewed by our committee) or ask questions to take discussions further. Breaks between sessions are perfect to get to know fellow attendees, speakers, and top ML companies. Our most advanced presentations get published in PMLR.

“PAPIs is really about bringing ML into use”
— Danny Lange, VP of AI and ML at Unity

Speakers and agenda

View the PAPIs 2018 schedule & directory.

Featured Speakers

Gretchen Greene

Greene Strategy and Analytics/ MIT Media Lab

Kevin Moore

Salesforce
Sr. Data Scientist

Zachary Kozick

Nanigans
Sr Software Engineer, ML Platform

Michael Schmidt

DataRobot
Chief Data Scientist

Jamie Warner

Lincoln
Director, Data Science

Melinda Han Williams

Dstillery
VP of Data Science and Analytics

Claudia Perlich

Two Sigma
SVP & Senior Data Scientist

Conrado Silva Miranda

NVIDIA
Eng. Manager

AI Startup Battle

Find out about the most promising startups in AI and ML: PAPIs hosts the world's 1st startup competition (powered by PreSeries), where participants are judged by an AI on stage—not a human jury!

Selected startups will be able to present at the conference, exhibit, make connections, and get unique exposure among a highly distinguished audience. Applications to the Battle are open until October 5th!

Workshops

Get up to speed with some of the main topics of the conference with our hands-on, pre-conference training workshops on October 15. Our experienced instructors will be teaching in classrooms of up to 20 persons, to maximize interaction and so you can ask even more questions than in a conference setting.

Deep Learning Kickstart

Deep Learning applications are at the leading edge of the current AI revolution. In this introductory course, you will get an overview of the basics of Deep Learning including core concepts of neural networks and practical implementation with Keras.

“I learnt so many things that I had dreams about it the night after.”
— Rodrigo Xavier Felippe, Co-Founder at BOX TI