Live Webinar

SAS® Viya® Workbench Demo: Solving Your Productivity Challenges

See how Viya Workbench addresses your most common business challenges and AI development roadblocks.

July 29 • 10 a.m. ET • Cost: Complimentary

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About the webinar

We bet you’ve heard this before: Developing models takes too long, is too expensive and our team is getting inconsistent results.

How productive could you be if none of that were true?

SAS Senior Vice President of Research and Development, Jared Peterson,
alongside Alice McClure and Brett Wujek, will cover these business challenges and show you how SAS Viya Workbench enables productivity through a variety of demos.

Demo breakdown:  

  • Challenge No. 1: “It takes too long to spin up a model.”
    Workbench environments allow developers to create new models quickly with minimal IT support. Viya Workbench gives developers this ability, with an important twist: The models can be published in a wide range of environments, not just SAS. You can choose your favorite. See this demoed live.
  • Challenge No. 2: “The infrastructure we need just costs too much.”
    Viya Workbench helps developers avoid cloud hosting surprises by allowing for easy scaling up and down. Plus, it’s self-terminating, so users won’t incur unnecessary compute costs on the cloud. See for yourself how you can easily configure and scale for your project.
  • Challenge No. 3: “I’m getting different results when I expand to blended teams.”
    Regardless of the programming language your developers use, the same underlying analytical tools driving Viya Workbench are consistent – and will deliver consistent results when using the same data. Watch how Viya Workbench makes model development a team sport.

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About the experts


Jared Peterson

Senior Vice President, Research and Development, SAS

As Senior Vice President of Platform Engineering at SAS, Jared Peterson leads a global, multi-faceted team dedicated to delivering SAS’ market-leading data and AI platform, SAS Viya. He is responsible for all aspects of research and development, including software engineering, cloud-native design and continuous integration/continuous delivery (CI/CD). His teams deliver products across the entire data and AI life cycle, providing knowledge in the moments that matter.

Peterson has over 25 years of experience in the software industry, with twelve of those years spent at SAS. After earning a degree in computer science from Auburn University, Peterson worked as a developer at several small tech companies before joining SAS. He credits those early years with not only solidifying a love of technology, but also for instilling a start-up mentality that embodies hard work, perseverance and an unwavering determination that anything is possible – even the craziest of ideas.


Alice McClure

Senior Director of Product Marketing and Launch Programs, SAS

Alice McClure is an accomplished and strategic product marketing leader with over 20 years of experience driving growth and innovation across diverse product marketing, analytics and alliance teams. McClure currently serves as the Senior Director of Product Marketing and Launch Programs at SAS, leading a global team responsible for crafting go-to-market strategies, brand and product positioning, demand generation, customer engagement, field readiness and strategic launch programs. She and her teams possess a unique ability to blend deep market insights with product knowledge and creative market engagement to address customer needs and achieve business objectives.

Before joining SAS, McClure held senior roles at IBM, Red Hat and Logi Analytics, including multiple Director and Chief of Staff positions within the IBM AI, Automation and Security business units. McClure frequently speaks at industry conferences and contributes to articles on technology trends and product innovation. She holds a Bachelor of Science in Marketing from Indiana University.


Brett Wujek

Head of Product Strategy for Next-Generation AI Technology, SAS

Brett Wujek leads a team that drives product direction and vision through customer interactions and technology advancements. Upon joining SAS in 2014, he worked as a data scientist on the machine learning R&D team to support development projects, help guide the direction of the product, and drive technical promotion and customer engagements.

Before joining SAS, Wujek led the development of process integration and design exploration technologies at Dassault Systèmes, helping to architect and implement industry-leading computer-aided optimization software for product design applications. He received his PhD from the University of Notre Dame for his work in developing efficient algorithms and automation strategies for multidisciplinary design optimization.

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