The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
The rise of sophisticated AI, particularly machine learning and natural language processing, has dramatically increased the valuation of all data—especially unstructured data.
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Data Management | Intelligent Information Management (IIM)
In my last two posts I defined data literacy and information literacy and then reviewed common barriers to literacy. Now, let's look at solutions to overcoming these barriers.
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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.
Data Management | Intelligent Information Management (IIM)
In my previous post, I defined data literacy and information literacy. In this post, I'll explore the common barriers to data literacy and information literacy.
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Data Management | Intelligent Information Management (IIM)
While 90% of business leaders cite data literacy as key to company success, the reality is that most organizations struggle with the critical gap between having data and actually using it to drive meaningful business decisions. In this first of three-part log post series, we’ll explore the definition of data literacy and information literacy and how they relate.
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Change Management | Intelligent Information Management (IIM)
The ability to solve problems creatively is essential in organisations but I don't often see it being used effectively. Creative problem solving involves thinking outside the box, challenging the norm and seeking solutions to problems.
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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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