The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
Information Governance | Intelligent Information Management (IIM)
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)
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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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.
Information Governance | Intelligent Information Management (IIM)
Has Information Management improved over the last 40 years? Are the various decision makers in organisations making better decisions based on complete record sets in 2025 compared to 1985? These are the questions we've pondered over as a profession with traditional Information Management (IM) thinking and disciplines being diluted through deprofessionalisation of the industry, reduction in further educational qualifications and theoretical knowledge.
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What do Shell, Equinor, Chevron, ExxonMobil, and PETRONAS have in common? They all navigate petabytes of unstructured data, actively developing strategies to drive value from information while ensuring compliance. I had the privilege of hosting and moderating the ISG Information Management Roundtable – Energy Sector, a unique collaborative initiative that brought together leading energy companies to collectively advance Information Management (IM) maturity.
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Artificial Intelligence (AI) | Document Management | Intelligent Document Processing | Intelligent Information Management (IIM)
I'm excited to share highlights from our first AIIM Trade Member Think Tank session, held on July 24, 2025. We launched this program to create a dedicated space for our vendor community to discuss market trends, share insights, and collaborate on advancing the information management industry.
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Recently, I was in a meeting with stakeholders at a corporation exploring a new information governance program. Midway through the discussion, an IT vice president commented that the effort seemed duplicative of the company’s existing data governance initiative. It was a fair question—but also a revealing one. While the organization’s information governance capabilities were still maturing and clearly in need of strengthening, the proposed activities were entirely distinct from those handled by the data governance team.
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