Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA

Successfully deploy machine learning while managing its risks

Andrew Burt (Immuta), Steven Touw (Immuta), Richard Geering (Immuta), Joe Regensburger (Immuta), Alfred Rossi (Immuta)
1:30pm5:00pm Tuesday, March 26, 2019
Secondary topics:  AI and machine learning in the enterprise, Ethics, Security and Privacy

Who is this presentation for?

  • Executives and managers who want to embrace ML in the enterprise.



Prerequisite knowledge

None. All technical requirements will be explained during the tutorial.

Materials or downloads needed in advance

  • A laptop and an internet connection

What you'll learn

  • Risk management is key to successfully adopting machine learning across the enterprise.


This tutorial will provide a hands on overview of how to train, validate and audit machine learning models (ML) in practice. As ML becomes increasingly important for businesses and data science teams alike, managing its risks is quickly becoming one of the biggest challenges to the technology’s widespread adoption. Join the Immuta team as we walk through practical tools and best practices to help safely deploy ML – while fully harnessing the technology.

The tutorial will be broken into three phases:

Phase 1: In this phase, we’ll provide in-depth overviews of how ML works in practice and best practices for risk management in ML across teams. We’ll focus on understanding both opaque algorithms and large datasets, and how they may adapt and change over time.

Phase 2: In this phase, we’ll break participants into teams to tackle concrete data science problems. Participants will learn through concrete use cases: how and when ML solves specific problems within the enterprise, how to apply ML to maximize the value of corporate data while minimizing its downsides, and how to manage teams of data scientists engaged in deploying ML within their companies.

Phase 3: We will assess each team’s lessons learned from their particular use case, and combine shared insights to illustrate the benefits of a robust risk management framework for ML.

Photo of Andrew Burt

Andrew Burt


Andrew Burt is chief privacy officer and legal engineer at Immuta, the data management platform for the world’s most secure organizations. He is also a visiting fellow at Yale Law School’s Information Society Project. Previously, Andrew was a special advisor for policy to the head of the FBI Cyber Division, where he served as lead author on the FBI’s after-action report on the 2014 attack on Sony. The leading authority on the intersection between machine learning, regulation and law, Andrew has published articles on technology, history, and law in the New York Times, the Financial Times, Slate, and the Yale Journal of International Affairs. His book, American Hysteria: The Untold Story of Mass Political Extremism in the United States, was called “a must-read book dealing with a topic few want to tackle” by Nobel laureate Archbishop Emeritus Desmond Tutu. Andrew holds a JD from Yale Law School and a BA from McGill University. He is a term-member of the Council on Foreign Relations, a member of the Washington, DC, and Virginia State Bars and a Global Information Assurance Certified (GIAC) cyber incident response handler.

Photo of Steven Touw

Steven Touw


Steve Touw is the cofounder and CTO of Immuta. Steve has a long history of designing large-scale geotemporal analytics across the US intelligence community, including some of the very first Hadoop analytics as well as frameworks to manage complex multitenant data policy controls. He and his cofounders at Immuta drew on this real-world experience to build a software product to make data experimentation easier. Previously, Steve was the CTO of 42Six Solutions (acquired by Computer Sciences Corporation), where he led a large big data services engineering team. Steve holds a BS in geography from the University of Maryland.

Photo of Richard Geering

Richard Geering


Richard Geering is Vice President of Governance, Risk and Compliance at Immuta. He has over 20 years’ experience in the financial services industry, during which he has held global leadership roles in risk, sales and trading. He has worked in London, New York and Barbados, and most recently was the Chief Operational Risk Officer for a global custodian bank. Richard holds a BSc (Hons) in Physics from the University of Nottingham.

Photo of Joe Regensburger

Joe Regensburger


Dr. Joseph Regensburger leads Immuta’s research group, focusing on model risk management and privacy preserving machine learning. Prior to joining Immuta, Dr. Regensburger served as Chief Scientist as Illumination Works, LLC and Principal Research Scientist at the Battelle Memorial Institute. Dr. Regensburger has led research efforts characterizing airport security screening devices, engineering image analysis software, and developing machine learning algorithms for biological detection. Dr. Regensburger was recognized with Battelle’s Technical Achievement Award and Illumination Works’ Innovation Award. Dr. Regensburger received his PhD in Physics from The Ohio State University, with research focused Experiment High Energy Physics, specifically the detection of rare decays of D0 Mesons.

Photo of Alfred Rossi

Alfred Rossi


Dr. Alfred Rossi is a theoretical computer scientist and research scientist at Immuta, where his efforts are currently focused on differential privacy and model risk management. His research interests include clustering (especially in alternative settings), and privacy. Alfred holds a PhD in Computer Science, and an MS in Physics, both from the Ohio State University.

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