Ask the Expert Special Edition Webinar

AI and Machine Learning in Action Using SAS® Viya®: A Detailed Use Case

On-Demand • Cost: Complimentary

About the webinar

SAS Viya with embedded AI is a comprehensive, high-performance platform for advanced data preparation, data exploration, machine learning model development and deployment.

All these capabilities are accessible to users through an open architecture that supports access through low-code/no-code applications, SAS programming methods and open source integration.

A comprehensive example will show you how Viya can use these capabilities to benefit an organization’s operations.

You will learn about:

  • The industry-leading AI and machine-learning capabilities of Viya.
  • How Viya takes an integrated approach to support the complete analytics life cycle and the collaboration of all roles within the life cycle.
  • How experts in various roles from data engineer to data scientist can use the high-performance capabilities of Viya using their preferred methods.


Welcome and agenda review
Data Preparation, Exploration and Feature Engineering
Robert Blanchard 
Machine Learning
Carlos Pinheiro
SAS Trivia Game and Prizes
Optimization and Deep Learning
Robert Blanchard
Network Sciences and Model Deployment
Carlos Pinheiro

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About the Experts

Robert Blanchard
Principal Data Scientist, SAS

Robert Blanchard builds end-to-end artificial intelligence applications. He also researches, consults and teaches machine learning with an emphasis on deep learning and computer vision for SAS. Blanchard has authored an introductory book on computer vision and has written several professional courses on topics including neural networks, deep learning and optimization modeling. Before joining SAS, Blanchard worked under the Senior Vice Provost at North Carolina State University, where he built models pertaining to student success, faculty development and resource management. Prior to working in academia, he was a member of the research and development group on the Workforce Optimization team at Travelers Insurance. His models at Travelers focused on forecasting and optimizing resources. Blanchard holds a master’s degree in business analytics and project management from the University of Connecticut and a master’s degree in applied and resource economics from East Carolina University.

Carlos Pinheiro
Distinguished Data Scientist, SAS

In addition to his role at SAS, Carlos Pinheiro is an Adjunct Faculty Member at SKEMA Business School and a Lecturer at the Data Science Academy at North Carolina State University. He has been working in analytics since 1996, most of the time for telecommunications providers in Brazil. He worked as a Senior Data Scientist at EMC and as a Lead Data Scientist at Teradata. Pinheiro has a BSc in applied mathematics and computer science, a MSc in computing, and a DSc in engineering from Federal University of Rio de Janeiro. He has accomplished a series of post-doctoral research terms in different fields, including dynamic systems at IMPA, Brazil; in social network analysis at Dublin City University, Ireland; and in transportation systems at Université de Savoie, France. Pinheiro has published several papers in international journals and conferences and been granted US patents. He has written four books, most recently Network Science: Analysis and Optimization Algorithms for Real-World Applications.