Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Discover opportunities for applied AI
Organizations that successfully apply AI innovate and compete more effectively. How is AI transforming your business?
Be a part of the program—apply to speak by October 16.

Schedule: Case Studies sessions

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11:05am11:45am Wednesday, April 17, 2019
Location: Sutton North/Center
Secondary topics:  AI case studies, Interfaces and UX, Media, Marketing, Advertising
Lucy Wang (BuzzFeed), Swara Kantaria (BuzzFeed)
As BuzzFeed’s content production and social networks grow, curation becomes increasingly difficult. To this end, we first built publishing tools that let people work more efficiently. Now, we build artificial intelligence tools that let people work more intelligently. During this talk we plan to share this evolution with the audience. Read more.
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11:05am11:45am Wednesday, April 17, 2019
Location: Sutton South
Secondary topics:  AI case studies, Financial Services
Pamela Vagata (Stripe)
Explore how Stripe applies deep-learning to user-behavior for fraud detection. This deep-dive will include data-preparation, modeling methods and performance comparisons. Read more.
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1:00pm1:40pm Wednesday, April 17, 2019
Location: Sutton North/Center
Secondary topics:  AI case studies, Text, Language, and Speech
Joanna Chavez (Booz Allen Hamilton)
Cognitive Solutions, the application of intelligent technology and services to empower the user to draw insights from data using natural human interaction, is a disruptive force in the US Federal market and is changing the way citizens engage with data. Read more.
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1:00pm1:40pm Wednesday, April 17, 2019
Location: Sutton South
Secondary topics:  AI case studies, Media, Marketing, Advertising, Platforms and infrastructure, Text, Language, and Speech
Twitter is a company with massive amounts of data. Thus, it is no wonder that the company applies machine learning in myriad of ways. In this session, we are going to describe, in depth, one of those use cases: Timeline Ranking. From modeling to infrastructure our goal is to share some of the optimizations that this team have made in order to have models that are both expressive and efficient. Read more.
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1:50pm2:30pm Wednesday, April 17, 2019
Location: Sutton South
Secondary topics:  AI in the Enterprise, Text, Language, and Speech
Maryam Jahanshahi (TapRecruit)
Word embeddings such as word2vec have revolutionized language modelling. In this talk I will discuss exponential family embeddings, which apply probabilistic embedding models to other data types. I describe how we implemented a dynamic embedding model to understand how tech skill-sets have changed over 3 years. The key takeaway is that these models can enrich analysis of specialized datasets. Read more.
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2:40pm3:20pm Wednesday, April 17, 2019
Location: Sutton North/Center
Secondary topics:  AI case studies, Financial Services
Andrew Chin (AllianceBernstein), Celia Chen
Overview of data science applications within the asset management industry Specific use cases using ML to derive better investment insights and improve client engagement Read more.
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2:40pm3:20pm Wednesday, April 17, 2019
Location: Sutton South
Secondary topics:  Models and Methods, Text, Language, and Speech
Vijay Agneeswaran (Publicis Sapient), Abhishek Kumar (Publicis Sapient)
We illustrate how capsule networks can be industrialized: 1. Overview of capsule networks and how they help in handling spatial relationships between objects in an image. We also learn about how they can be applied to text analytics. 2. We show an implementation of recurrent capsule networks. 3. We also benchmark the RCN with capsule networks with dynamic routing on text analytics tasks. Read more.
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4:05pm4:45pm Wednesday, April 17, 2019
Location: Sutton North/Center
Secondary topics:  AI case studies, AI in the Enterprise, Financial Services, Text, Language, and Speech
Kyle Hoback (WorkFusion), Mikhail Abramchik (WorkFusion)
Using AI to combat financial crime is more than strong fraud detection models monitoring transactions. Banks follow significant Anti-Money Laundering (AML) and Know-Your-Customer (KYC) laws and procedures, wrought with growth chained to cost and requiring auditable automation. This session will walk-through a series of case studies that utilize AI-powered RPA that address AML and KYC. Read more.
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4:55pm5:35pm Wednesday, April 17, 2019
Location: Sutton North/Center
Secondary topics:  AI case studies, Automation in machine learning and AI, Financial Services, Platforms and infrastructure
Scott Clark (SigOpt), Matt Greenwood (Two Sigma Investments)
Increasingly, companies building modeling platforms to empower their researchers to efficiently scale the development and productionalization of their models. During this talk, we use a case study from a leading algorithmic trading firm to draw general best practices for building these types of platforms in any industry. Read more.
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11:05am11:45am Thursday, April 18, 2019
Location: Sutton South
Secondary topics:  AI case studies, Financial Services, Models and Methods
vishal hawa (Vanguard)
While Deep Learning has shown significant promise towards model performance, it can quickly become untenable particularly when data size is short. RNNs can quickly memorize and over-fit . The presentation explains how a combination of RNNs and Bayesian Network (PGM) can improvise sequence-modeling behavior of RNNs. Read more.
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1:00pm1:40pm Thursday, April 18, 2019
Location: Sutton South
Yulia Zvyagelskaya (Dow Jones)
Companies have a strong need for complying with anti-money laundering, anti-bribery, corruption and economic sanctions regulation in mitigating third party risk. Dow Jones Risk & Compliance deliver research tools and services for vetting and investigation to evaluate these risks with more confidence. The presentation highlights how DJ uses deep learning and NLP for efficient compliance solutions. Read more.
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1:50pm2:30pm Thursday, April 18, 2019
Location: Sutton North/Center
Secondary topics:  AI case studies, Computer Vision, Health and Medicine
Eric Oermann (Mount Sinai Health System), Katie Link (Allen Institute for Brain Science)
There is a significant interest in applying deep learning based solutions to problems in medicine and healthcare. This talk will focus on identifying actionable medical problems, and then recasting them as tractable deep learning problems and the techniques to solve them. Read more.
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1:50pm2:30pm Thursday, April 18, 2019
Location: Sutton South
Till Bergmann (Salesforce), Leah McGuire (Salesforce)
A problem in predictive modeling data is label leakage. At Enterprise companies such as Salesforce, this problem takes on monstrous proportions as the data is populated by diverse business processes, making it hard to distinguish cause from effect. We will describe how we tackled this problem at Salesforce, where we need to churn out thousands of customer-specific models for any given use case. Read more.
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2:40pm3:20pm Thursday, April 18, 2019
Location: Sutton North/Center
Secondary topics:  AI case studies, Computer Vision, Health and Medicine
Enhao Gong (Subtle Medical), Greg Zaharchuk (Stanford University)
Clinical radiology is faced with several clinical issues: 1) improvement in imaging efficiency, 2) reduction of risks, 3) high imaging quality. Subtle Medical provides Deep Learning/AI solution, powered and accelerated by industry solution such as OpenVINO, to address these problems by enabling faster MRI, faster PET and low dose, providing real clinical and financial benefit to hospitals. Read more.
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2:40pm3:20pm Thursday, April 18, 2019
Location: Sutton South
Secondary topics:  AI case studies, Computer Vision, Ethics, Privacy, and Security, Models and Methods, Reinforcement Learning
Alina Matyukhina (Canadian Institute for Cybersecurity)
Machine learning models are often susceptible to adversarial deception of their input at test time, which is leading to a poorer performance. In this session we will investigate the feasibility of deception in source code attribution techniques in real world environment. This session will present attack scenarios on users identity in open-source projects and discuss possible protection methods. Read more.
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4:05pm4:45pm Thursday, April 18, 2019
Location: Sutton North/Center
Secondary topics:  AI case studies, Data and Data Networks, Text, Language, and Speech
A case study that details lights-out automation and how DCL uses AI to transform massive volumes of confidential disparate data into searchable and structured information. Considerations for architecting a solution that processes a continuous flow of 5M+ “pages” of complex work units. Read more.
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4:05pm4:45pm Thursday, April 18, 2019
Location: Sutton South
Secondary topics:  AI case studies, Financial Services, Text, Language, and Speech
Chakri Cherukuri (Bloomberg LP)
In this talk we will see how machine learning and deep learning techniques can be applied in the field of quantitative finance. We will look at a few use-cases in detail and see how machine learning techniques can supplement and sometimes even improve upon already existing statistical models. We will also look at novel visualizations to help us better understand and interpret these models. Read more.