On-Demand Webinar 

Ask the Expert: SAS Viya Workbench – the new self-service SAS and Python programming environment 

PART OF ASK THE EXPERT WEBINAR SERIES

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About the webinar

Join us for this webinar to understand the benefits of this new self-service, on-demand development environment for your SAS and Open-Source development teams.

See in action how they have the flexibility to build Python or SAS analytical projects in their favourite development environment.

What you’ll learn:

In this webinar, you will discover how this new programming environment for SAS and Open-Source programmers: 

  • Minimises costs and complexity. 
  • Is scalable and offers unparalleled performance. 
  • Enhances flexibility to code in SAS or Python. 
  • Provides robust security. 
  • Offers flexibility for SAS and open-source developers. 
  • Adds increased productivity and performance for SAS and open-source developers. 
  • Adds value to the wider SAS Viya ecosystem. 
The Experts

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About the experts


David Smith

Head of Technology - Northern Europe, SAS

Dave Smith joined SAS from the Pharmaceutical Industry some 25 years ago and has since worked across multiple sectors, including pharmaceuticals, banking, government, and retail. His technical specialisms include Cloud, Data Management, Data Quality, Data Governance, and GDPR.

He is now Head of Technology for Northern Europe, managing a team of architects and technical experts who help SAS customers get continued value from their use of SAS. 

 


Mike Johansson 

Senior Data Scientist, SAS

Mike is part of SAS's Global Technology Practice team focused on data science. He excels at guiding top-tier clients through the intricacies of understanding, designing, and implementing cutting-edge AI solutions.

Armed with a Master of Science in Economics and Business Administration from CBS, Mike has also shared his expertise by teaching Operations Research there for several years. His extensive experience as a consultant means he brings not just theoretical insights but also practical, hands-on expertise in deploying AI solutions across a diverse array of industries.


Fabio Ceruti 

Senior Associate Data Scientist, SAS

Fabio is a Data Scientist in the Global Technology Practice Team at SAS. He comes from a statistics background and in his previous work experiences he worked in open source, developing machine learning and inferential statistics projects. Currently, at SAS, he works in the customer advisory team, focusing on translating business issues into data science and machine learning solutions.

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