Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

Schedule: Visualization and user experience sessions

Add to your personal schedule
9:00am–12:30pm Tuesday, 09/11/2018
Location: 1E 09 Level: Intermediate
James Bednar (Anaconda)
Python lets you solve data-science problems by stitching together packages from the Python ecosystem, but it can be difficult to assemble the right tools to solve real-world problems. Here we show how to use the 15+ packages covered by the new PyViz.org initiative to make it simple to build interactive plots and dashboards, even for large, streaming, and highly multidimensional data. Read more.
Add to your personal schedule
11:20am–12:00pm Thursday, 09/13/2018
Location: 1A 12/14 Level: Beginner
Jeffrey Heer (Trifacta | University of Washington)
Jeffrey Heer offers an overview of Vega and Vega-Lite—high-level declarative languages for interactive visualization that support exploratory data analysis, communication, and the development of new visualization tools. Read more.
Add to your personal schedule
1:10pm–1:50pm Thursday, 09/13/2018
Location: 1A 12/14 Level: Beginner
Secondary topics:  Ethics and Privacy, Financial Services, Media, Marketing, Advertising
Bob Levy (Virtual Cove, Inc.)
Augmented Reality opens a completely new lens on your data through which you see and accomplish amazing things. Learn how simple Python scripts can leverage completely new plot types. See use cases revealing new insight into financial markets data. Explore new ways of seeing & interacting with data to shed light on & build trust in otherwise “black box” machine learning solutions. Read more.
Add to your personal schedule
2:00pm–2:40pm Thursday, 09/13/2018
Location: 1A 12/14 Level: Non-technical
Brent Dykes (Domo)
With companies collecting all kinds of data and using advanced tools and techniques to find insights, they often fail in the last mile--communicating insights effectively to drive change. This session will look at the power that stories wield over statistics and explore the art and science of data storytelling—an essential skill that everyone must have in today’s data economy. Read more.
Add to your personal schedule
3:30pm–4:10pm Thursday, 09/13/2018
Location: 1A 12/14 Level: Beginner
Anna Nicanorova (Annalect)
Data Visualization is supposed to be our map to information. However, contemporary charting techniques have a few shortcomings: Context Reduction, Hard numeric grasp, Perceptual de-humanization. Augmented Reality can potentially solve all of the issues listed above by presenting an intuitive and interactive environment for data exploration. Read more.
Add to your personal schedule
4:20pm–5:00pm Thursday, 09/13/2018
Location: 1A 12/14 Level: Non-technical
Secondary topics:  Machine Learning in the enterprise
Brian O'Neill (Designing for Analytics)
Gartner says 85%+ of big data projects will fail, despite the fact your company may have invested millions on engineering implementation. Why are customers and employees not engaging with these products and services? CDOs, CIOs, product managers, and analytics leaders with a "people first, technology second" mission–a design strategy–will realize the best UX and business outcomes possible. #design Read more.