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The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY

Notebook narratives from industry: Inspirational real-world examples and reusable industry notebooks

Patty Ryan (Microsoft), Lee Stott (Microsoft), Michael Lanzetta (Microsoft)
1:50pm–2:30pm Friday, August 25, 2017
Usage and application
Location: Beekman/Sutton North Level: Intermediate

Who is this presentation for?

  • Data engineers, data scientists, software engineers, and anyone working within or consulting for manufacturing, retail, services or education

Prerequisite knowledge

  • A general understanding of machine learning and either R or Python

What you'll learn

  • Explore four examples of real-world applications of Jupyter notebooks in manufacturing, retail, services, and education
  • Get access to templates so that you can immediately apply these solutions in your own projects

Description

Jupyter notebooks deliver a robust and flexible environment to simplify data analysis and collaboration across industry. Patty Ryan, Lee Stott, and Michael Lanzetta explore four industry examples of Jupyter notebooks that illustrate innovative applications of machine learning in manufacturing, retail, services, and education and share four reference industry Jupyter notebooks (available in both Python and R)—along with demo datasets—for practical application to your specific industry value areas. The examples are fully illustrated with data pipelines that highlight the preparation of classic data primitives ready for modeling and the actual modeling development.

Each example includes a description of the customer journey from problem to approach, solution, and impact, along with Jupyter notebooks with synthetic datasets that allow you to replicate the application patterns. Patty, Lee, and Michael also share data primitive templates for each area, enabling pattern matching by helping you recognize or build the reference data within your organization or for your clients to apply these solutions.

Topics include:

  • Engagement analytics, churn reduction, and customer support optimization in the retail industry
  • Predictive maintenance and supply chain order optimization in the manufacturing industry
  • Fraud detection and employee hiring and retention optimization in the services industry
  • Course delivery and testing in the education industry
Photo of Patty Ryan

Patty Ryan

Microsoft

Patty Ryan leads prototyping engagements with partners, both large and small, on the Technology Evangelism and Development team at Microsoft. She specializes in designing and operationalizing predictive models that inform strategies, focus customer outreach, and increase engagement. Previously, Patty led telemetry, analytics, UX, and support in Dynamics, Azure Identity, and O365, driving innovation in customer-facing self-service and distributed analytics.

Photo of Lee Stott

Lee Stott

Microsoft

Lee Stott is CTO of academic engagements at Microsoft, where he engages academic institutions across the UK in the ongoing development of the Microsoft platform. Lee has held a number of roles at Microsoft, including academic and technical evangelist. Previously, Lee was the head of information systems at the University of Manchester, where he led service and delivery teams across both academic and commercial markets. Lee holds a PGCE in higher education management from the University of Southampton and an MSc in information technology from the University of Liverpool.

Photo of Michael Lanzetta

Michael Lanzetta

Microsoft

Michael Lanzetta is a principal software development engineer on the Partner Catalyst team at Microsoft, where his current work ranges from implementing binary protocols in JavaScript to training domain-specific image classification convolutional neural networks. He works with everyone from small startups to large enterprise customers—anyone doing innovative work that is stretching the Microsoft stack (and in particular Azure) beyond its current limits. Michael is currently the head of the Machine Learning technical working group in DX, helping upskill Microsoft’s field in ML and deep learning and leading efforts to bring Microsoft’s suite of ML technologies to the aid of its partners, both large and small. Previously, Michael worked on Microsoft Live Search and Windows Mobile Services, Bing Travel, MSN and MSN Mobile, and FUSE Labs.