Virtual

7:00 – 8:30 p.m. CT

General Session: Opening Session
Join SAS CEO Jim Goodnight as he welcomes you to Dallas, along with SAS EVP, COO and CTO Oliver Schabenberger, and SAS EVP and Chief Sales Officer David Macdonald. Hear real-life customer success stories and see analytics in action.

8:30 – 10:00 a.m. CT

General Session: Technology Connection
Join SAS EVP, COO and CTO Oliver Schabenberger. Hear how medical image processing and SAS are helping to treat cancer; how SAS Mobile Investigator is providing data on the move; and more. Also, hear real-life customer stories of analytics in action.

10:30 – 11:00 a.m. CT

Amadeus Software Limited: SWAT's It All About? SAS^® Viya^® for Python Users
Python is a widely used language, and in this session, you’ll learn how the Python Scripting Wrapper for Analytics Transfer (SWAT) enables connections to SAS Cloud Analytic Services (CAS) and opens up the functionality of SAS Viya to Python users.

11:00 a.m. – 12:00 p.m. CT

Utah State University: Machine Learning and Predictive Analytics in SAS^® Enterprise Miner™ and SAS/STAT^® Software
In this session, you’ll learn powerful machine learning and statistical learning tools, including gradient boosting machines, artificial neural networks and decision tree nodes in SAS/STAT and SAS Enterprise Miner.

1:00 – 2:00 p.m. CT

Luminare Data: SAS^® Viya^®: Experience Gained From Multiple Installations and Implementations
Learn from SAS Viya installation and implementation projects on the SAS Platform involving hardware and architectural concepts, use of external data sources, recovery considerations, integration with SAS^®9 and daily operation overviews.

2:00 – 3:00 p.m. CT

DLL Consulting Inc.: Planning for Migration From SAS^® 9.4 to SAS® Viya^® 3.4
Learn the differences and similarities for administrators between SAS 9.4 and SAS Viya in key areas, including upgrade and migration planning, and the fundamental methodology of installing SAS.

3:00 – 4:00 p.m. CT

California Polytechnic State University: Stepping Up Your SAS® Game With Jupyter Notebooks
Learn what Jupyter Notebooks can offer as an unprecedented reporting medium. See how traditional reports become dynamic – including both text and living SAS code that is run during document creation – and how it benefits you and your colleagues.

4:00 – 5:00 p.m. CT

Mayo Clinic: Welcome to the Three-Ring %CIRCOS: An Example of Creating a Circular Graph Without a Polar Axis
Learn about circos plots in SAS^®, challenges in creating these plots and how the macro %CIRCOS can overcome these limitations by creatively using trigonometry to prove that these types of graphs are still possible without polar axes.

5:00 – 5:30 p.m. CT

SAS: SAS^® Functions to Drive Source Control With Git
See how the frontrunner of the source control world, Git and GitHub, work with SAS in a variety of functions. This includes why the functions were developed; user interfaces for SAS Studio and SAS^® Enterprise Guide^®; and more.

10:00 – 11:00 a.m. CT

Experis: The Economy of Data Science
This panel will explore the economy of data science and how its integration helps organizations increase their competitive edge as they expand analytics, integrate new processes into existing models, measure ROI and keep up with current tech trends.

11:00 a.m – 12:00 p.m. CT

RIT/Datamum: Keeping IR Relevant in a Self-Service Analytics World
A panel discussion on the role IR needs to fill due to the proliferation of self-service analytics, assisting users in how to use these tools and the risks involved. This session will also cover how to use census-based and real-time data.

12:00 – 1:00 p.m. CT

Experis Solutions: The Future Impact of Predictive Analytics on the Lives of Patients
This panel discusses health care and life sciences companies developing analytical programs and processes to improve care and outcomes of their patients through predictive analytics. Challenges to this implementation will also be discussed.

2:00 – 3:00 p.m. CT

Texas A&M University: The Pros and Cons of Alternative Methodologies Designed to Produce Forecasts for Business
This panel examines the pros and cons of quantitative methodologies for business forecasting, econometric models, unobservable component models (UCMs) and vector autoregression (VAR) models (multivariate techniques). See examples and their outcomes.

3:00 – 4:00 p.m. CT

University of California, Davis: Career Advice We'd Give to Our Kids
Panelists share insight in career exploration, goals and finding personal growth and purpose. Anyone, including students, recent graduates looking for a first job or midcareer programmers ready for the next step, can get advice during this session.

4:00 – 5:00 p.m. CT

The Dow Chemical Company: Delivering Value Through Text Analytics in the Materials Manufacturing Industry
Learn how Dow uses internally and externally generated text data from large document repositories to develop supervised and unsupervised models – uncovering insights for production, marketing, and environmental health and safety.

10:30 – 11:30 a.m. CT

Kennesaw State University: The Good, the Bad, and the Creepy: Why Data Scientists Need to Understand Ethics
Few data science programs and analytics programs require ethics courses. This session shows the unintended consequences of data science in application without ethical guide rails – and universities’ obligations to teach ethical data science.

11:30 a.m. – 12:30 p.m. CT

British Airways: Text Analytics at British Airways
British Airways uses SAS^® to derive insight from textual data sources, including customer surveys, cabin crew (flight attendant) feedback, engineering technical logs and company-internal social media posts.

1:00 – 2:00 p.m. CT

Factorization Machines, Visual Analytics and Personalized Marketing
Customers spend more money in aggregate today, but less per brand. And competitive offers are just one click away. Predicting offer relevance plays a key role in segmentation strategies, increasing customer conversion rates.