Brought to you by NumFOCUS Foundation and O’Reilly Media
The official Jupyter Conference
Aug 21-22, 2018: Training
Aug 22-24, 2018: Tutorials & Conference
New York, NY

JupyterCon
Business Summit

August 23-24, 2018
New York, NY

Come with a problem. Leave with a plan.

Tailored for business leaders, strategists, and executives, the JupyterCon Business Summit offers concise, high-level executive briefings on the most important developments in Jupyter for business.

You'll hear how organizations such as Capital One, IBM, Oracle, Teradata, PayPal, DoD, Two Sigma, Capsule8, GE, and Booz Allen Hamilton, successfully leveraged Jupyter to do things like:

  • scale data infrastructure to 100k+ users
  • collaborate in highly regulated environments
  • improve corporate reporting and tax process
  • "leapfrog" past POCs stalled in large commercial data frameworks
  • share data widely while targeting at a micro-level who is allowed access
  • deal with difficult data issues such as security, privacy, and the GDPR

And you'll have a chance to shares ideas and experiences with other business leaders and Project Jupyter's creators in casual 'un-conference" breakout sessions. Don't miss it.

Participants will receive a certificate for "Enterprise Engagement in Open Source."

About your hosts

Brian Granger is an associate professor of physics and data science at Cal Poly State University in San Luis Obispo. Brian is a leader of the IPython project, cofounder of Project Jupyter, and an active contributor to a number of other open source projects focused on data science in Python. Recently, he cocreated the Altair package for statistical visualization in Python. He is a advisory board member of NumFOCUS and a faculty fellow of the Cal Poly Center for Innovation and Entrepreneurship.

Paco Nathan leads the Learning Group at O'Reilly Media. Known as a "player/coach" data scientist, Paco led innovative data teams building ML apps at scale for several years and more recently was an evangelist for Apache Spark, Apache Mesos, and Cascading. Paco has expertise in machine learning, distributed systems, functional programming, and cloud computing with 30+ years of tech industry experience, ranging from Bell Labs to early-stage startups. Paco is an advisor for Amplify Partners and was cited in 2015 as one of the top 30 people in big data and analytics by Innovation Enterprise. He is the author of Just Enough Math, Intro to Apache Spark, and Enterprise Data Workflows with Cascading..

Joel Horowitz, Vice President of Strategic Partnerships & Offerings, Digital Business Group. Passionate product, customer and marketing executive leading growth and transformation with developer ecosystems and partner offerings. Graduate of the University of Washington, College of Engineering in the area of Nanotechnology and of the University of Pittsburgh, Katz School of Business earning an M.S. & M.B.A respectively. Specialties include Corporate Development, Product Management, Digital Marketing, and Data Science. Spearheads new partnerships and offerings for IBM Analytics, IBM Watson, IBM Cloud, IBM Hybrid Cloud, and emerging technology platforms IBM Blockchain, IBM Q, and many others. 

Add to your personal schedule
11:05am–11:45am Thursday, August 23, 2018
Location: Concourse A: Business Summit
Brian Granger (Cal Poly San Luis Obispo)
Over the past two years, we have seen a dramatic shift in Jupyter’s deployment, from ad hoc usage by individuals to production enterprise application at scale. Brian Granger explains how this has expanded the Jupyter community and revealed new use cases with new challenges and opportunities. Read more.
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11:55am–12:35pm Thursday, August 23, 2018
Location: Concourse A: Business Summit Level: Non-technical
David Schaaf (Capital One), Shivraj Ramanan (Capital One)
In Capital One's recent exploration of "notebook" offerings, JupyterHub emerged as a top contender that could serve as a potential platform for analytics even in highly regulated industries like financial services. David Schaaf and Shivraj Ramanan discuss Capital One's journey and explain how Jupyter has become a part of the company's ever-growing analytics toolkit. Read more.
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1:50pm–2:30pm Thursday, August 23, 2018
Location: Concourse A: Business Summit Level: Non-technical
Matt Greenwood (Two Sigma Investments)
The presentation will explain why Two Sigma, a company in a space notorious for protecting IP, thinks it's important to contribute to the open source community. I'll talk about the evolution of our thinking and policies over the past five years, and make a case for why other companies should make a commitment to the open source ecosystem. Read more.
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2:40pm–3:20pm Thursday, August 23, 2018
Location: Concourse A: Business Summit Level: Non-technical
Dave Stuart (Department of Defense )
Dave Stuart explains how Jupyter was used inside the US Department of Defense and the greater intelligence community to empower thousands of "citizen data scientists" to build and share analytics in order to meet the community’s dynamic challenges. Read more.
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4:10pm–4:50pm Thursday, August 23, 2018
Location: Concourse A: Business Summit
Julia Lane (Center for Urban Science and Progress and Wagner School, NYU)
Government agencies have found it difficult to serve taxpayers because of the technical, bureaucratic, and ethical issues associated with access and use of sensitive data. Julia Lane explains how the Coleridge Initiative has partnered with Jupyter to design ways that can address the core problems such organizations face. Read more.
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5:00pm–5:40pm Thursday, August 23, 2018
Location: Concourse A: Business Summit
Joel Horwitz (IBM), David Schaaf (Capital One), Dan Romuald Mbanga (Amazon Web Services), Pramit Choudhary (DataScience.com), Dave Stuart (Department of Defense ), Julia Meinwald (Two Sigma Investments)
Join in for the Business Summit's roundtable discussion with participation from IBM, Capital One, the DoD, Amazon AWS, Oracle, and others. Speakers will discuss important issues in our current environment—everything from compliance and GDPR to ML models. Read more.
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11:00am–11:40am Friday, August 24, 2018
Location: Concourse A: Business Summit Level: Intermediate
ED MA (GE Capital )
In corporate tax world, the king of spreadsheets, Microsoft Excel is often the default tool for tracking information and managing tasks. However, tax professionals are often lost or annoyed by slowly updating or broken linked or referenced cells within or between spreadsheets. This session highlights how Jupyter Notebook can make a better job than Microsoft Excel in the OID calculation process. Read more.
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11:55am–12:35pm Friday, August 24, 2018
Location: Concourse A: Business Summit Level: Beginner
Catherine Ordun (Booz Allen Hamilton)
Many U.S. government agencies are just getting started in machine learning. As a result, data scientists need to de-"black box" models as much as possible. One simple way to do this is to transparently show how the model is coded and its results at each step. Notebooks do just this. We will walk through a notebook we built for RNNs and discuss how we think agencies can use Notebooks. Read more.
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1:50pm–2:30pm Friday, August 24, 2018
Location: Concourse A: Business Summit Level: Beginner
George Williams (Capsule8), Harini Kannan (Capsule8), Alex Comerford (Capsule8)
The key to successful threat detection in cybersecurity is fast response. George Williams, Harini Kannan, and Alex Comerford offer an overview of specialized extensions they have built for data scientists working in cybersecurity that can be used and deployed via JupyterHub. Read more.
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2:40pm–3:20pm Friday, August 24, 2018
Location: Concourse A: Business Summit
Gerald Rousselle (Teradata)
Gerald Rouselle reviews some of the trends in modern data and analytics ecosystems for large enterprises and shares some of the key challenges and opportunities for Jupyter adoption. He also details some recent examples and experiments in incorporating Jupyter in commercial products and platforms. Read more.
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4:10pm–4:50pm Friday, August 24, 2018
Location: Concourse A: Business Summit Level: Intermediate
Romit Mehta (PayPal), Praveen Kanamarlapudi (PayPal)
Hundreds of PayPal's data scientists, analysts, and developers use Jupyter to access data spread across filesystem, relational, document, and key-value stores, enabling complex analytics and an easy way to build, train, and deploy machine learning models. Romit Mehta and Praveen Kanamarlapudi explain how PayPal built its Jupyter infrastructure and powerful extensions. Read more.
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5:00pm–5:40pm Friday, August 24, 2018
Location: Concourse A: Business Summit
The Business Summit concludes with "unconference"-style breakout sessions that allow enterprise stakeholders to give input to Project Jupyter directly. Read more.