Information is cascading down upon every organization in unprecedented volumes and forms, challenging traditional and manual concepts of records management and information stewardship. This information tsunami is happening at the very time that the process value of these digital assets is more mission-critical than ever.
Are your Human Resources processes intelligent? Before you try and answer that, let me explain more about what I mean.
Making an ECM implementation successful requires planning and attention to detail. The best way to create the right solution is to identify organizational goals and priorities. Learn how to manage a successful implementation in our free guide.
Artificial Intelligence (AI) is obviously all the rage. Consider the search traffic on “Artificial Intelligence” since early 2016. As a result, just about every technology product in the world now seems to have the artificial intelligence “label” attached to it.
Life for the owner of a startup can be stressful and filled with rapid-fire choices that can hobble progress and add an undue burden. Luckily for startup owners everywhere automation has become a ubiquitous technology and is innovating in the business sector every day.
In The State of Intelligent Information Management: Getting Ahead of the Digital Transformation Curve and in GDPR after the Deadline: Progress, But a Long Way to Go, AIIM began an examination of one of the four key IIM practice areas — Automating Compliance and Governance.
The venerable template allows structured form data to be accurately extracted. In the document capture industry, the concept of templates where you specify the location of each data element is a tried-and-true strategy for structured forms. If the form is standardized, giving the software the precise place to look for data will almost always result in better performance over alternatives such as rules-based approaches using keywords or patterns. Even with unstructured data such as on invoices, we find that many organizations have opted for a template approach after finding that more flexible, rules-based approaches fall short. The result is a tremendous amount of upfront effort and a lot of maintenance.