The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
Artificial Intelligence (AI) | Document Management
Enterprises are adopting GenAI, but most deployments remain disconnected and brittle. Teams build document summarizers, contract analyzers, or chat interfaces as isolated experiments. These efforts don’t scale. They don’t integrate. They can’t be governed. The solution isn’t a better model. It’s a better system structure. This article introduces seven architectural patterns that define how GenAI should operate inside business processes—especially those built around documents, forms, and structured decisions. These patterns are modular, repeatable, and designed for scale.
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Document Management | Enterprise Content Management (ECM)
The content management market, evolving from traditional ECM to advanced Content Services, is crucial for organizational efficiency and innovation, especially with the rise of AI. Future projections indicate robust growth driven by emerging technologies and diverse applications, with the market size expected to reach $31 to $150 billion by 2028, growing at a compound annual growth rate (CAGR) of 14.1%.
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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.
Business Process Management (BPM) | Document Management
Recently, the Association for Intelligent Information Management and Business Forms Management Association announced that they have joined forces. BFMA is now a part of AIIM! Read the full press release here. As a longtime board member of BFMA and a new member of AIIM, I wanted to share why forms management matters to information management.
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Collaboration | Document Management | File Shares
As organizations have settled into the business of the business, one thing seems clear: the new workplace is much different than the one we were used to. Remote work and virtual teams are now a prevalent way of working, with on-site employees often the exception rather than the rule. Now that work-from-home has proven to be a viable alternative, C-Suite executives and business owners are less likely to invest in the resources, infrastructure, and space needed for all of their workers to return to business as usual.
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Document Management | Robotic Process Automation (RPA)
The Difference Between Intelligent Document Processing and RPA — Or Is There One? For many businesses, content and data capture tools are highly sought out, particularly in the banking and insurance sectors. With so many different types of documents required to operate and adhere to compliances, the need for capturing data accurately and quickly, especially unstructured data, is ever growing. As a result, businesses are looking at sophisticated data capture solutions to achieve this. For a while, the biggest player was intelligent document processing (IDP), which used to be known as “capture.” However, now robotic process automation (RPA) is matching the features IDP tools offer and throwing their hat into the data capture ring.
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Document Management is the use of a software application to track digital documents from creation through approval and publication. It serves in many ways to apply a formal governance framework to the document creation and collaborative editing processes.
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