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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Today (July 28, 2024), we at AIIM (Association for Intelligent Information Management) are thrilled to celebrate our 80th anniversary. With celebrations kicking off earlier this year at the AIIM Conference, today offers us a moment to reflect on our rich history, celebrate our achievements, and look forward to an exciting future in the ever-evolving world of information management.
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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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