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)
As organizations rush to embrace artificial intelligence (AI), many are overlooking a crucial element that could make or break their AI initiatives: effective information management. In this post, I'll explore why information lifecycle management is not just important, but essential for successful and ethical AI implementation.
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In today's rapidly evolving landscape of artificial intelligence, the question of ethical AI implementation is becoming increasingly crucial. As an information management professional, I've been contemplating the role we play in this complex scenario.
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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.
As an information management professional, I've observed a concerning trend in the rush to adopt artificial intelligence (AI) technologies, particularly when the stakes are high. There's a significant disconnect between the allure of these powerful AI tools and the reality of most organizations' data readiness. This disconnect, which I call the "data delusion," poses significant challenges for successful AI implementation, especially in critical decision-making scenarios.
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As someone who works closely with information management and AI, I get asked a lot whether or not we should trust the outputs from generative AI. I've come to the conclusion that trustworthiness is not a realistic goal when it comes to AI-generated content. Instead, we should approach everything AI produces with a sense of mistrust and use critical analysis skills in how we approach generative AI output.
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Why are information management and AI even in the same sentence? It's an interesting question. What's the relationship? Well, the answer is simple: there is no AI without information.
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Artificial Intelligence (AI) | Intelligent Information Management (IIM)
It cannot be argued that good decisions come from good information. So, in a world of rapid generative AI adoption, what does this mean for organizations who want to take advantage of this exciting new technology, while also maintaining the integrity of their information and, of course, their business decisions?
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