The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
Artificial Intelligence (AI) | Intelligent Information Management (IIM)
We're at a crucible moment in information management, with a lot going on. Here's what information leaders should be focusing on:
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AIIM on Air | Artificial Intelligence (AI) | Intelligent Information Management (IIM)
Digital transformation remains a critical journey for organizations, though our research reveals an interesting paradox. While 75% of organizations consider themselves digitally mature, the reality shows many have only scratched the surface of true digital capabilities. In this post, I’ll share some of the biggest obstacles to digital transformation.
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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.
Artificial Intelligence (AI) | Automation | Email Management
The Challenge: Outdated Email Management Practices In the world of information management, we're seeing some wild transformations, especially when it comes to email management. I want to share a recent experience that really highlights how automation and AI are changing the game.
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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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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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Artificial Intelligence (AI) | Electronic Records Management (ERM) | Machine Learning
It sometimes feels like the battle for control of unstructured data is being won by the forces of employee document hoarding and data over-retention. The unchecked growth of files, emails, and other content drives up online storage costs, undermines privacy-driven data minimization efforts, increases eDiscovery risks and expenses and, perhaps most importantly, chokes employee productivity and collaboration.
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