Ask the Expert Webinar Series

How Can I Process Scanned Document Images in SAS® Viya®?

Nov. 5 • 11 a.m. ET • Cost: Complimentary

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About the webinar

Streamlining and extracting value from scanned document images and unstructured data can seem like a daunting task.

But what if you can harness the power of AI-driven process automation to do it?

The SAS document vision capabilities can assist in medical records review, commercial instructions automation, invoice reconciliation and reimbursement, and more.

See how SAS has helped customers enable efficient workflows and save time.

You will learn about:

  • Document processing and text analytics and the challenges involved.
  • How SAS can effectively orchestrate and enhance complex document vision processes.
  • Use cases and examples of where the SAS document vision solution can be applied.

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About the experts


Stacey Wang

Systems Engineer and Data Scientist, SAS

Stacey Wang has a wide range of experience mapping analytic solutions to customer problems. She covers topics including natural language processing, analytics and machine learning. Before joining SAS, Stacey drove data analyses and strategy recommendations – implementing multimillion-dollar national advertising and media campaigns as a senior media analyst at the hospitality company Choice Hotels. Stacey currently helps clients in the federal and commercial health sectors unleash and apply the potential of analytics with SAS. She has helped customers map the power of both structured and unstructured analytics to relevant solutions – notably by incorporating SAS’s visual dashboarding, machine learning and visual text analytics capabilities and SAS AI for Medical Record Review. She graduated from Cornell University with a bachelor’s degree in statistical science and a minor in business.


Simran Bagga

Principal Pre-Sales Solutions Architect, SAS

Simran Bagga’s passion and professional experience surround the use of data to guide decision-making. She works as a liaison between technical teams and business units to help articulate requirements, set expectations, and reduce time to solutions. Simran makes analytic recommendations ranging from tools and technologies to specific techniques and approaches to address client challenges. Her focus is to improve businesses by helping them understand the power of AI to make informed decisions. In addition to her work at SAS, Simran has developed and implemented data science products and solutions for various organizations, including IBM SPSS, the Mayo Clinic and multiple startups.

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