Information Management Blog

The AIIM Blog

Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.

Blog Feature

Artificial Intelligence (AI)  |  Data Management  |  Information Governance  |  Intelligent Information Management (IIM)

Data Quality in the Age of AI: Addressing the Challenge of "Dirty Data"

One of the most common questions I ask clients about their AI implementations is: How clean does your dirty data need to be to actually invest in AI? This question strikes at the heart of a critical consideration for any AI project.

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Artificial Intelligence (AI)  |  Change Management  |  Information Governance  |  Intelligent Information Management (IIM)

AI and Information Management in the Capital: What Keeps Leaders Up at Night

On December 10, 2025, I had the privilege of moderating an opening keynote panel, 'AI and Information Management in the Capital: Framing Today's Challenge Landscape,' at AIIM's AI+IM Regional Forum in Washington, DC. Joining me were four distinguished information leaders who brought perspectives from government, nonprofit, and legal sectors: Thad Lurie from American Geophysical Union, Mark Patrick from the US Department of Defense, Melvin Baskin from ICG Consultants & Advisors, and Leigh Zidwick from DLA Piper LLP.

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14 Steps to a Successful ECM Implementation

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.

Blog Feature

Artificial Intelligence (AI)  |  Information Governance

The Role of AI and Information Governance: Opportunities and Risks

As information management professionals, we deal with the continuous evolution of technologies that shape our industry, profession, and areas of practice. Today, AI stands as the latest "shiny new ball" in a long line of transformative technologies that promise to revolutionize how we handle information, identify opportunities, and manage risk.

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Information Governance  |  Intelligent Information Management (IIM)

Getting Real: How to Communicate the Value of Information Management

The Communication Challenge for IM Professionals If you're out at a social gathering and there are people you don't know its inevitable that you'll be asked 'so, what do you do for work?' and in response you have to go into details to explain what IM which usually results in a puzzled expression. Why is it that colleagues in other corporate functions such as Accounting, Communications or Human Resources are readily understood and not ours?

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Information Governance  |  Intelligent Information Management (IIM)

From Manual Practice to Automated Chaos

The Problem of Poor Naming Conventions In our last post, we argued that traditional records management models are failing in digital environments because they assume staff will deliberately create and capture records into formal systems, when in reality most valuable records are either never created, poorly documented, or bypassed into informal systems due to time pressures and system complexity. Compounding this issue is the poor application of naming conventions and metadata standards. Even when staff do attempt to capture records, inadequate or inconsistent naming makes information retrieval difficult. Without structured metadata or contextual tagging, records become effectively invisible within repositories, undermining their long-term accessibility and usability.

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Information Governance  |  Intelligent Information Management (IIM)

Why Traditional Records Management Models Are Failing in the Digital Age

Creation And Capture Of Records Needs A Rethink The Evolution of Records Management Theory Since the 1980s, the creation and capture of records has undergone significant conceptual evolution, yet professional practice has not consistently kept pace with theoretical development. Foundational models such as the records lifecycle and the records continuum have offered foundational frameworks for understanding the management of information from creation to eventual disposal or preservation.

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