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Using AI to Automate Large Scale Document Remediation

Date & Time
Tuesday, March 14, 2023 - 1:20 PM PST  
Location
Elite 1-3  
Description
Producing accessible PDF documents at an enterprise scale is never easy. More so, the Customer Communication Management (CCM) systems used to create statements, letters, policies, invoices, records, and more require specific expertise to build accessible templates, not always fully supporting complex content. Worse yet, they tend to lack fully integrated, innovative best-practice testing tools to ensure outputs meet ADA and accessibility standards like WCAG and PDF/UA. The result: an untenable ability to remediate the ever-increasing number of existing PDFs and reach a state of relative compliance. We will use Allyant's highly advanced deep neural network AI to show how document generation becomes more intelligent over time. Furthermore, as the solution produces files, the algorithms are continually enhanced through our quality assurance and post-processing methodology. Essentially, the tool is "taught" through accessible sample documents how to properly tag PDF documents. This ensures those documents are fully accessible to work seamlessly with screen readers and other assistive technologies.  
Audience
  • Higher Education
  • Information & Communications Technology
  • Government
  • Finance & Banking
  • Insurance
Audience Level
Advanced  
Session Summary (Abstract)
Allyant demonstrates how advanced technologies, like AI, can ensure that volume documents generated from internal systems are accessible.  
Primary Topic
Artificial Intelligence (AI) & Machine Learning (ML)  
Secondary Topics
  • Design
  • Development
  • Digital Accessibility
  • Emerging Technologies
 
Session Type
General Track  

Presenters

  • Dave Herr
    Allyant
  • Jonathan Malone-McGrew
    Solimar

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