Events

Our Program:

As organizations across both the public and private sectors move away from paper-based workflows, the demand for efficient, scalable, and cost-effective digitization of archival documents continues to grow. Vast collections of physical records—often decades old—remain difficult to access, search, and preserve, creating operational inefficiencies and long-term preservation risks. Traditional digitization methods have relied heavily on manual processes such as document preparation, indexing, quality control, and data extraction, making large-scale projects time-consuming and expensive.

In response to these challenges, digitization companies are increasingly leveraging artificial intelligence to automate and enhance nearly every stage of the digitization lifecycle. Advances in AI-powered optical character recognition (OCR), handwriting recognition, intelligent document classification, metadata extraction, and quality assurance are transforming how historical and active records are converted into usable digital assets. These technologies not only reduce labor costs and processing time but also improve accuracy, consistency, and accessibility of digitized content.

This presentation will provide an overview of the digitization process—from physical document handling and scanning to data capture, validation, and long-term digital preservation—while highlighting the AI tools and technologies driving this transformation. Attendees will gain insight into how machine learning and automation are enabling faster project turnaround, unlocking previously inaccessible information, and creating new opportunities for data analysis, compliance, and decision-making. The session will also explore key considerations, challenges, and future trends shaping the intersection of digitization and artificial intelligence.

Our Speakers:

Our webinar features Vivica and Barnsley Williams, siblings and owners of archSCAN, LLC.  archSCAN has been providing digitization and document management services for 24 years.   They have gone down the AI path and have implemented many AI features to automate processes and improve the quality and speed of production.