The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
Artificial Intelligence (AI) | Information Governance
Everyone agrees AI governance matters, but very few have an effective, centralized program actually running yet. And your project teams aren't waiting around for one.
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Artificial Intelligence (AI) | Automation | Intelligent Information Management (IIM) | Process Automation
Many organizations have taken the initial steps with GenAI: they have obtained licenses for LLM usage, have started pilots, and have a growing group of enthusiastic early users. Now they realize that the harder step is turning those pilots into business value. That is where many initiatives stall, because the underlying work has not been redesigned to fit the technology.
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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) | Intelligent Information Management (IIM)
Information management (IM) is at a tipping point. Across most enterprises, we are sitting on an uncomfortable combination: explosive data growth, content fragmented across SharePoint and dozens of other systems, mounting compliance pressure, and processes that rely heavily on manual effort to hold everything together.
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Artificial Intelligence (AI) | Certified Information Professional (CIP) | Intelligent Information Management (IIM)
Technology is automating much of what information management professionals have traditionally done: classifying, tagging, labeling, maintaining. That's not a threat if we're willing to evolve. The ability to absorb change, identify new opportunities, and play the human in the loop is going to define who thrives and who gets left behind.
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Artificial Intelligence (AI) | Information Governance | Intelligent Information Management (IIM)
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Artificial Intelligence (AI) | Data Management
Do We Even Need to Prepare Data for AI? I've heard different versions of this question across the world. Some wonder if we're overthinking it. Others suggest we should just focus on understanding AI and the data will somehow get ready on its own. Do we even need data to get ready for AI?
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