The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
Artificial Intelligence (AI) | Data Management
The age of artificial intelligence (AI) has advanced rapidly with the release of tools like ChatGPT becoming available to the end user. These tools can compile information from various sources to answer questions on a wide range of topics. But how accurately can they comprehend truly complex disciplines that require years of specialized expertise?
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Business Process Management (BPM) | Data Management
I was curious about how organizations cope with information management during a merger and acquisition process. What I discovered when I asked our members in AIIM’s Online Community, is that it’s common during the aftermath of a merger and acquisition to be presented with a dilemma of what to do with the two different information management programs of the merging organizations.
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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 Community | Women in Information Management (WIIM)
"I don’t look in the mirror to find people who look exactly like me. I look in the mirror to find acceptance- to find home.”
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Artificial Intelligence (AI) | Big Data
If you are new to AIIM, you might be wondering what AIIM means when we say "information," which we admittedly say a lot. My favorite explanation of information is from Steve Weissman, CIP, who told me that he simply refers to information as "stuff in a box." Information represents all the data you manage within your organization. Information means both structured and unstructured data.
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Digital Transformation | Intelligent Information Management (IIM)
April 22nd marks the annual Earth Day, where earthday.org, jointly with many organizations, mobilize volunteers to drive education and elevate awareness, highlight governance efforts and conduct cleanup efforts.
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Data Management | Knowledge Management
Think about your organization for a moment. Is there any employee who doesn't collect, store, transform, analyze, and delete information? We all need information to be successful and help our organizations achieve better business outcomes.
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