The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
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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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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Artificial Intelligence (AI) | Data Management | Information Governance
Looking ahead at information management trends, I see three key areas converging: AI governance, data governance, and information governance. This convergence isn't just theoretical - it's reshaping how we handle information at the Central Bank of the Bahamas.
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Data Management | Intelligent Information Management (IIM)
I want to share my thoughts on the importance of quality assurance in information management based on my extensive experience in the field, where I found it has been given short shrift in many organizations – particularly when implementing newer technologies. I'll discuss how even small issues can have significant ripple effects on an entire system and why thorough testing is essential to maintain data integrity.
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