The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
Archiving | Artificial Intelligence (AI) | Information Governance
Recently, I had the pleasure of attending the 2025 NAGARA Annual Conference in Oklahoma City as the closing keynote speaker. Spending two days with government archivists and records administrators gave me valuable insights into what's important to federal, state, and local information leaders. Here are my key takeaways from this thought-provoking event.
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Artificial Intelligence (AI) | Data Management | Metadata
Your organization sits on a goldmine of unstructured data—documents, emails, images, reports—that remains largely untapped. Knowledge Enrichment is the key to unlocking this treasure trove, transforming scattered information into structured, contextual knowledge that powers intelligent automation and drives business success. A new white paper from Hyland "Knowledge Enrichment: Transforming Unstructured Data for Agentic AI and Intelligent Solutions" explains how to use knowledge enrichment to elevate dark data and gain a competitive advantage.
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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 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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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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Artificial Intelligence (AI) | Certified Information Professional (CIP) | Intelligent Information Management (IIM)
There is no such thing as an AI initiative or project that doesn't involve data. AI systems depend on structured, semi-structured and unstructured data for development, tasks, and training models. For projects to be successful, you need professionals who understand how to manage and leverage data and have the proven ability to do so.
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