The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
AIIM on Air | Artificial Intelligence (AI)
While humans are critical to the success of AI initiatives, they may also present obstacles. In this blog post, we will walk through some of the challenges organizations face when implementing AI for content services.
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AIIM on Air | Artificial Intelligence (AI)
As organizations explore the potential of AI, information management practitioners may face the challenge of being perceived as roadblocks rather than facilitators. However, by aligning Generative AI initiatives with business goals and promoting intentional adoption, these professionals can pivot into a critical educator role.
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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.
AIIM research shows that many organizations feel ready for AI, but encounter obstacles to implementation, especially a lack of available use cases. Where do organization start with Generative AI (Gen AI)?
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Information, or content, is nontabular, unstructured data. Sometimes called “dark data” it includes documents, emails, contracts, invoices, media, and other files that exist outside tabular data. Content is also the essential fuel for generative AI (Gen AI). Generative AI can also be used to better manage and find value in information. In this blog post, we’ll dive into the value of using generative AI to manage content.
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Copyright is intended to incentivize creativity to serve the purpose of enriching the public by providing access to creative work. Generative AI engines use content (aka information or unstructured data) to develop large language models. This content can and often does include copyrighted works.
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Artificial Intelligence (AI) | Compliance
I want to share my thoughts on the ongoing debate within the information management industry about how to effectively sell the value of investing in information management. Some argue that the focus should be on business outcomes and solving the problems that keep decision-makers up at night, while others emphasize the importance of compliance and risk mitigation. I'll discuss my perspective on this topic based on my experience working with various organizations.
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