The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
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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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) | Sharepoint and Office 365
When we talk about AI transforming the Microsoft 365 ecosystem, it's crucial to set the boundaries of what we mean. AI isn't new - your Netflix recommendation engine has been using AI for a decade, and Tesla's autopilot for about five years. What we're really focusing on today is how large language models (LLMs) can benefit enterprises.
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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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Artificial Intelligence (AI) | Intelligent Information Management (IIM)
While activating Copilot is straightforward, ensuring sustainable adoption requires thoughtful preparation. Recent data shows that 75% of knowledge workers now use AI at work, with many having adopted it just within the last 24 months. This relatively recent wave of AI adoption presents an opportunity—whether you're planning your initial Copilot deployment or looking to optimize your existing implementation.
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Artificial Intelligence (AI) | Intelligent Document Processing
Earth Day 2025: Intelligent Information Management and Its Growing Power Requirements Earth Day is an excellent opportunity to pause and reflect on our power needs in our private lives and businesses, particularly the growing and changing needs triggered by Generative AI (GenAI) technologies.
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