#reworkAI

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Interviews

Overview

In November 2018 RE•WORK's inaugural Applied AI Summit took place in Houston and explored how leading innovators and companies are leveraging AI to solve problems in enterprise. Hear case studies from NASA, Coursera, Shopify & Hitachi Vantara on topics including, scaling AI, creating value from AI and discover the latest on how they are applying AI in business.

Featured Presentations

Watch our featured videos below for free. Scroll down to view the full library of presentations from the event and to purchase access to all the recorded sessions.

Machine Learning for Better User-Experience: A Reddit Case Study

Daniel Ellis, Tech Lead at Reddit

Reddit is a network of communities where individuals can find experiences built around their interests, hobbies and passions. With more than 330 million monthly active users, Reddit is where people go to discover the conversations they care about the most. In this session, Reddit's Relevance Tech Lead Daniel Ellis will...

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Robotics and AI: The Future of People in Space

Julia Badger, Project Manager for Robotics and Intelligence for Human Spacecraft at NASA

This talk will discuss plans for human exploration to the moon and beyond, and how human-machine teams will be essential to our success. As communication latency and bandwidth constraints increase, astronauts will rely more and more on technology and augmented intelligence to solve problems and conduct their missions. Pre-deployments of...

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Operationalizing Machine Learning for Lyft’s Business Platforms

Hao Yi Ong, Research Scientist at Lyft

In the old worldview of Lyft business platforms, models were simply extensions of simple business rules handcrafted by analysts. Our infrastructure, operations, and product simply had to be re-tailored for a world where decisions are made automatically by machine learning (ML) models. This talk will focus on the operational realities...

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Full Presentation Library

End-to-End, Multi-Cloud, Continuous Machine Learning in Production with PipelineAI, TensorFlow, and Kafka

Chris Fregly, Founder at PipelineAI

Predictions for The Next Decade of AI Applications

Sandeep David Golkonda, AT&T; Seshu Yalamanchili, Visa; Brandon Ellett, Hypergiant; Amy Gross, VineSleuth

Scaling AI in Education: The Importance of Feedback Loops and Interpretable Models in Driving Adoption

Vinod Bakthavachalam, Senior Data Scientist at Coursera

A Look To The Future: Security, Risk & Other Big Obstacles for AI in Enterprise

Dean Teffer, JASK; Babar Bhatti, Dallas AI; Clint Wheelock, Tractica; Priyanka Kharat, PCCI

Data Scientists Should Build Dashboards (and write ETL too)

Kyle Tate, Senior Data Science Lead at Shopify

Seed to Shelf: Harnessing AI to Eliminate Waste in the Food Supply Chain

Ahmed Mahgoub, Chief Innovation Engineer at AgriSource Data

AI to Explore The Universe: Neural Networks & Gravitational Lenses

Laurence Perreault Levasseur, Flatiron Research Fellow, Cosmology, Data Science at Flatiron Institute

Combining EEG & AI to Overcome Learning Disabilities

Zuby Onwuta, Founder at Think and Zoom

DataGig: The Digital Apprenticeship Marketplace for the nextGen Data Professionals

Eunice Chendjou, Founder at DataGig

Roadmap to Accelerating Value from AI for Manufacturing

Sath Rao, Director, Digital Solutions for Manufacturing at Hitachi Vantara

The Intersection of AI, Mobile Devices, and Healthcare

Stephen Odaibo, CEO & Founder at RETINA-AI

Growing Pains of AI Adoption: Advice & Lessons Learnt

Margaret Mayer, Vice President of Software Engineering at Capital One

Enriching Creativity in Applied AI with Interdisciplinary Backgrounds and Diverse Perspectives

Himani Agrawal, Machine Learning Engineer at AT&T

Superior Customer Service with AI: Personalization at Wayfair

Sunanda Parthasarathy, Associate Director of Data Science at Wayfair

Interactive Improvement Between AI Algorithms and Business Insights

Biao “Bill” Chang, Senior Data Scientist at eBay

Driving Innovation with Machine Learning in the Enterprise

Lynn Calvo, AVP of Emerging Data Technology at GM Financial

How eBay Shipping uses ML to Improve Experiences

Joe Michiels, Senior Product Owner of the eBay Shipping Science at eBay

Strategies for AI Adoption in Hospitals

Mayur Saxena, Droice Labs; Tasha Nagamine, Droice Labs

From Big Data to Smart Data

Adam McMurchie, Head of DevOps at Barclays

Start Learning Today

Online Video Access $895 $295

Access all of the event videos (presentations with slides), report summaries & video interviews listed above.

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