Artificial Intelligence (AI) in Records Management - Has OCR Finally Solved Cursive Handwriting?

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Description

This session explores the transformative shift from traditional OCR to AI-powered intelligent document processing (IDP). Through real-world use cases and vendor-neutral evaluation strategies, the presenters share lessons from years of failed pilots and recent breakthroughs that deliver over 99% accuracy—even on historical and handwritten documents. You'll learn how to assess AI-based OCR tools, mitigate risks, understand cloud vs. on-premise deployments, and advocate for quality standards and stakeholder alignment. Whether you manage high-volume imaging, historical archives, or agency-level digitization, this session helps you navigate technology choices that unlock meaningful efficiencies.

Learning Objectives

Upon completing this session, learners will be able to:

  1. Explain how AI-enhanced OCR differs from traditional zonal mapping and rubber-band scanning techniques.
  2. Identify performance criteria to evaluate intelligent document processing tools.
  3. Assess the trade-offs between on-premise and cloud deployments, including privacy and security risks.
  4. Translate scanning accuracy improvements into organizational time and cost savings.
  5. Advocate for stakeholder collaboration and high-quality scan standards to maximize AI success.

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Format
On Demand Conference Recording

Language
English

Year Published
2024

Credits
0.5 IGP-INFO SECURITY

  

  

This session is an On Demand Conference Recording from 2024.