The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
Data Management | Intelligent Information Management (IIM)
While 90% of business leaders cite data literacy as key to company success, the reality is that most organizations struggle with the critical gap between having data and actually using it to drive meaningful business decisions. In this first of three-part log post series, we’ll explore the definition of data literacy and information literacy and how they relate.
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Change Management | Intelligent Information Management (IIM)
The ability to solve problems creatively is essential in organisations but I don't often see it being used effectively. Creative problem solving involves thinking outside the box, challenging the norm and seeking solutions to problems.
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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) | 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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Document Management | Enterprise Content Management (ECM)
The content management market, evolving from traditional ECM to advanced Content Services, is crucial for organizational efficiency and innovation, especially with the rise of AI. Future projections indicate robust growth driven by emerging technologies and diverse applications, with the market size expected to reach $31 to $150 billion by 2028, growing at a compound annual growth rate (CAGR) of 14.1%.
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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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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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