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. 

11:05am–11:45am Thursday, August 23, 2018
Enterprise usage of Jupyter: The business case and best practices for leveraging open source
Location: Concourse A: Business Summit
Brian Granger (Cal Poly San Luis Obispo)
Average rating: ****.
(4.00, 4 ratings)
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.
11:55am–12:35pm Thursday, August 23, 2018
Using Jupyter notebooks in highly regulated environments
Location: Concourse A: Business Summit Level: Non-technical
David Schaaf (Capital One), Shivraj Ramanan (Capital One)
Average rating: ****.
(4.00, 6 ratings)
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.
1:50pm–2:30pm Thursday, August 23, 2018
Open source software and the allocation of capital
Location: Concourse A: Business Summit Level: Non-technical
Matt Greenwood (Two Sigma Investments)
Average rating: *****
(5.00, 1 rating)
Matt Greenwood explains why Two Sigma, a company in a space notorious for protecting IP, thinks it's important to contribute to the open source community. Matt covers the evolution of Two Sigma's thinking and policies over the past five years and makes a case for why other companies should make a commitment to the open source ecosystem. Read more.
2:40pm–3:20pm Thursday, August 23, 2018
Citizen data science: An enterprise use case from inside the US intelligence community
Location: Concourse A: Business Summit Level: Non-technical
Dave Stuart (Department of Defense )
Average rating: ****.
(4.00, 1 rating)
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.
4:10pm–4:50pm Thursday, August 23, 2018
Jupyter, sensitive data, and public policy
Location: Concourse A: Business Summit
Julia Lane (Center for Urban Science and Progress and Wagner School, NYU)
Average rating: *****
(5.00, 2 ratings)
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.
5:00pm–5:40pm Thursday, August 23, 2018
Business Summit roundtable: The current environment—Compliance, ethics, ML model interpretation, GDPR, and more
Location: Concourse A: Business Summit
David Schaaf (Capital One), Julia Lane (Center for Urban Science and Progress and Wagner School, NYU), Dan Mbanga (Amazon Web Services), Dave Stuart (Department of Defense ), Michael Li (The Data Incubator), Pramit Choudhary (h2o.ai)
Average rating: ****.
(4.67, 3 ratings)
Join in for the Business Summit's roundtable discussion with participation from IBM, Capital One, the DoD, AWS, Oracle, and others. Speakers will discuss important issues in our current environment—everything from compliance and GDPR to ML models. Read more.
11:05am–11:45am Friday, August 24, 2018
How the Jupyter Notebook makes the corporate tax process easier and better
Location: Concourse A: Business Summit Level: Intermediate
Jinli Ma (Synchrony Financial)
Average rating: *....
(1.50, 2 ratings)
In the corporate tax world, Microsoft Excel—the king of spreadsheets—is the default tool for tracking information and managing tasks, but tax professionals are often annoyed by slowly updating or broken linked or referenced cells within or between spreadsheets. Jinli Ma explains how the Jupyter Notebook does a better job than Microsoft Excel with the original issued discount calculation process. Read more.
11:55am–12:35pm Friday, August 24, 2018
The Jupyter Notebook as a transparent way to document machine learning model development: A case study from a US defense agency
Location: Concourse A: Business Summit Level: Beginner
Catherine Ordun (Booz Allen Hamilton)
Average rating: *****
(5.00, 5 ratings)
Many US government agencies are just getting started with 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. Catherine Ordun walks you through a notebook built for RNNs and explains how government agencies can use notebooks. Read more.
1:50pm–2:30pm Friday, August 24, 2018
Rapid data science exploration for cybersecurity
Location: Concourse A: Business Summit Level: Beginner
George Williams (GSI Technology), Harini Kannan (Capsule8), Alex Comerford (Capsule8)
Average rating: ****.
(4.50, 2 ratings)
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.
2:40pm–3:20pm Friday, August 24, 2018
Jupyter in the modern enterprise data and analytics ecosystem: Trends, experiments, and opportunities
Location: Concourse A: Business Summit
Gerald Rousselle (Teradata)
Average rating: *****
(5.00, 1 rating)
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.
4:10pm–4:50pm Friday, August 24, 2018
PayPal Notebooks: Data science and machine learning at scale, powered by Jupyter
Location: Concourse A: Business Summit Level: Intermediate
Romit Mehta (PayPal), Praveen Kanamarlapudi (PayPal)
Average rating: *****
(5.00, 1 rating)
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.
5:00pm–5:40pm Friday, August 24, 2018
Business Summit discussion group
Location: Concourse A: Business Summit
Paco Nathan (derwen.ai)
The Business Summit concludes with "unconference"-style breakout sessions that allow enterprise stakeholders to give input to Project Jupyter directly. Read more.