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Industry Applications Stage [clear filter]
Thursday, January 24
 

10:10am

Compère Welcome - Industry Applications Stage
Speakers
avatar for Mike Del Balso

Mike Del Balso

Founding Product Manager, Uber's ML Platform, Michelangelo
Mike Del Balso is the founding product manager behind Uber's Machine Learning Platform, Michelangelo. His team built Uber's core ML infrastructure and scaled ML across the company from a first few use cases in 2015 to over 100 production ML applications today that span various domains... Read More →


Thursday January 24, 2019 10:10am - 10:20am
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA

10:20am

GE Power Business & Digital Transformation
Speakers
avatar for Vivek Thakral, GE

Vivek Thakral, GE

Director, Artificial Intelligence, GE
Digital Technology leadership program and MBA graduate with over 16 years of experience. Driving productivity benefits across Finance, Supply Chain, Commercial Operations, and Human Resource Operations by executing strategic programs, improving processes, and deploying artificial... Read More →


Thursday January 24, 2019 10:20am - 10:45am
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA

10:45am

Breaking Through Challenges in Industry Series: Using Deep Learning to Make Smarter Decisions for Retail Operations - Walmart Case Study
Pricing, assortment selection, space utilization and replenishment are some of the core tasks that are key to success of profitable store operations. In this talk, we present how the machine learning team for Walmart stores is making use of recent advances in machine learning to automate some of these store operations.

Speakers
avatar for Prakhar Mehrotra, Walmart Labs

Prakhar Mehrotra, Walmart Labs

Senior Director of Machine Learning, Walmart Labs
Prakhar Mehrotra currently is Senior Director of Machine Learning for Retail Data Science at Walmart Labs, based out of Sunnyvale CA. He overseas research and development of pricing, assortment, replenishment and planning algorithms to help merchants take smarter decisions. Prior... Read More →


Thursday January 24, 2019 10:45am - 11:15am
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA

11:15am

Breaking Through Challenges in Industry Series: OCR at Scale at Dropbox
There are many billions of images in Dropbox.  About 15% of them are photos of documents -- receipts, business cards, contracts, etc. -- with text content that is hidden from our search index.  To allow our users to search for these "documents," Dropbox built an OCR system.  In this talk I'll describe Dropbox's OCR project from its initial, small-scale deployment of a third-party library, through development and large-scale deployment of a homegrown solution using deep networks, focussing on the performance and scaling problems we encountered and solved along the way.

Speakers
avatar for Thomas Berg, Dropbox

Thomas Berg, Dropbox

Machine Learning Engineer, Dropbox
Thomas Berg is a Machine Learning Engineer at Dropbox, where he's worked on image classification, OCR, and user activity prediction. He has a PhD from Columbia University, where he worked on face recognition and fine-grained image classification in Peter Belhumeur's lab.


Thursday January 24, 2019 11:15am - 11:45am
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA

11:45am

Breaking Through Challenges in Industry Series: Challenges in Recommendation Systems at Twitter Scale
Twitter has amazing and unique content that is generated at an enormous velocity internationally. A constant challenge is how to find the relevant content for users so that they can engage in the conversation. Approaches span collaborative filtering and content based recommendation systems for different use cases. This talk gives insight into unique recommendation system challenges at Twitter’s scale and what makes this a fun and challenging task.

Speakers
avatar for Ashish Bansal, Twitter

Ashish Bansal, Twitter

Senior Engineering Manager, Twitter
Ashish manages the Explore and Trends engineering teams at Twitter. He focusses on building scalable ML & recommendation systems. Prior to that, he was a Senior Director of Data Science at Capital One. He used AI/ML to generate insights from vast amounts of data and build interesting... Read More →


Thursday January 24, 2019 11:45am - 12:15pm
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA

12:15pm

Breaking Through Challenges in Industry Closing Panel
Speakers
avatar for Thomas Berg, Dropbox

Thomas Berg, Dropbox

Machine Learning Engineer, Dropbox
Thomas Berg is a Machine Learning Engineer at Dropbox, where he's worked on image classification, OCR, and user activity prediction. He has a PhD from Columbia University, where he worked on face recognition and fine-grained image classification in Peter Belhumeur's lab.
avatar for Prakhar Mehrotra, Walmart Labs

Prakhar Mehrotra, Walmart Labs

Senior Director of Machine Learning, Walmart Labs
Prakhar Mehrotra currently is Senior Director of Machine Learning for Retail Data Science at Walmart Labs, based out of Sunnyvale CA. He overseas research and development of pricing, assortment, replenishment and planning algorithms to help merchants take smarter decisions. Prior... Read More →
avatar for Ashish Bansal, Twitter

Ashish Bansal, Twitter

Senior Engineering Manager, Twitter
Ashish manages the Explore and Trends engineering teams at Twitter. He focusses on building scalable ML & recommendation systems. Prior to that, he was a Senior Director of Data Science at Capital One. He used AI/ML to generate insights from vast amounts of data and build interesting... Read More →


Thursday January 24, 2019 12:15pm - 12:45pm
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA

1:35pm

Systems for Feedback and Novelty in Deep Learning: A Case Study From Coursera
As industries and occupations are being transformed by AI and other emerging technologies, there is a growing need to retrain existing workers and ensure those entering the labor force have the requisite skills to succeed in the new job market. At Coursera our mission is to provide everyone, anywhere access to the high quality education that will become necessary for this. Scaling in course help that assists learners through difficult course material, keeping them motivated, will require high levels of personalization to make the interventions relevant and timely. Through our work we have created automated feedback loops that utilize deep learning to serve the optimal help messages in our courses at the right time to drive positive learner outcomes. These learnings are relevant to anyone looking to add product value through automated systems powered by deep learning.

Speakers
avatar for Vinod Bakthavachalam, Coursera

Vinod Bakthavachalam, Coursera

Senior Data Scientist, Coursera
Vinod Bakthavachalam is a data scientist working with the Content Strategy and Enterprise teams where his work has recently focused on developing ways to measure the learning outcomes from taking Coursera classes, especially in the context of company sponsored training. Prior to Coursera... Read More →


Thursday January 24, 2019 1:35pm - 2:05pm
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA

2:05pm

Bringing Research And Production Together With PyTorch 1.0
Artificial intelligence is continuing to advance rapidly, with breakthroughs in areas from reinforcement learning to generative adversarial networks holding the potential to transform how we go about our day-to-day. Learn how PyTorch 1.0 enables you to take state-of-the-art research and deploy it quickly at scale in areas from autonomous vehicles to medical imaging. We'll deep dive on the latest updates to the PyTorch framework including TorchScript and the JIT compiler, deployment support, the C++ interface, and distributed training. We will also cover how PyTorch 1.0 is utilized at Facebook to power AI across a variety of products.

Speakers
avatar for Dmytro Dzhulgakov, Facebook

Dmytro Dzhulgakov, Facebook

AI Software Engineering Manager, Facebook
Dmytro Dzhulgakov is an Engineering Manager and Technical Lead in AI Infrastructure at Facebook. He currently leads the core development of PyTorch 1.0, an open source deep learning platform, and is one of the co-creators of ONNX, a joint initiative aimed at making AI development... Read More →


Thursday January 24, 2019 2:05pm - 2:45pm
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA

2:45pm

Taming the Deep Learning Workflow
Despite enormous excitement about the potential of deep learning, building practical applications powered by deep learning remains an enormous challenge: the necessary expertise is scarce, the hardware requirements can be prohibitive, and current software tools are immature and limited in scope. In this talk, we will first describe how deep learning workflows are supported by existing software tooling. We will then describe several promising opportunities to drastically improve these workflows via novel algorithmic and software solutions, including application aware GPU cluster management and state of the art resource-aware hyperparameter optimization methods. This talk draws on academic work done at CMU, UC Berkeley, and UCLA, as well as our experiences at Determined AI, a startup that builds software to make deep learning engineers dramatically more productive.

Speakers
avatar for Neil Conway, Determined AI

Neil Conway, Determined AI

CTO, Determined AI
Neil Conway is co-founder and CTO of Determined AI, a startup that builds software to dramatically accelerate deep learning model development. Neil was previously a technical lead at Mesosphere and a major developer of both Apache Mesos and Postgres. Neil earned a PhD in Computer... Read More →


Thursday January 24, 2019 2:45pm - 3:00pm
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA