States have mountains of data and are beginning to look at how to leverage it into actionable information. Learn more about these projects and best practices in our blog.
Data Classification Tips
How to Succeed With Document Management
What is the GDPR and How Does it Affect Your Data?
How Formal Cybersecurity Training Can Protect Data
Redaction of Pre-Existing Files
What if the OCR misses a field or value?
You have a software package that relies on optical character recognition (OCR) to classify, pick up words, numbers or phrases from a document. As long as the quality of the document is mostly clean, everything works well. However, what happens when the document arrives and the quality is simply, not good? Does the software give up and run away with its tail between its legs? Are there any options to classify or capture anything on these documents?
Defining Your Implementation Phase
The Implementation Phase is the third step in proceeding with an automated redaction vendor. If you’re in this phase, you’re close to the go-live for your project.
The first thing that you must do in this phase is collect sample documents. This involves gathering random and targeted sample documents in scope for the redaction project. Once your files and samples are gathered, you must send them to your software vendor.
Defining Your Project Plan For Automated Redaction
Bots Versus Humans
First came Alien, then Predator, followed by Alien versus Predator. The Alien series chronicles the battle between humans and a mysterious lifeform whose lifecycle has just begun. Predator was based on an extraterrestrial hunter stalking commandos in Central America and the citizens of Los Angeles. When the two series merged, it featured an epic battle between the two legends.
Defining Your Automated Redaction Project Scope
Defining your organization's project scope for an automated redaction project
Not sure where to start when it comes to implementing automated redaction for your business?
Build a solid foundation for a successful automated redaction project by following the best practice tips for defining your project scope.
Extract Software Version 10.6 Release Features
5 Examples of how document type and quality can affect accuracy
Document formatting and quality can have a dramatic effect on OCR and rules accuracy when data capture is concerned. The 5 examples shown below are meant to educate a potential or current data capture user on what can cause accuracy to rise or fall. Although sometimes it’s hard or impossible to correct the issues that cause accuracy to fall, there are generally steps that can be taken to help prevent them.
Top 3 Optical Character Recognition (OCR) Misconceptions
NCSC Highlights Redaction Technology Advancements
Last month the National Center for State Courts (NCSC) coordinated an Automated Redaction Proof of Concept (PoC) with several vendors.
The PoC was made possible thanks to funding from the State Justice Institute (SJI). The purpose was to provide accuracy benchmarks to courts considering implementing automated redaction technology. NCSC is planning to issue results prior to CTC, publish on their website, and present to various target groups and at conferences.