The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
Recently, I was in a meeting with stakeholders at a corporation exploring a new information governance program. Midway through the discussion, an IT vice president commented that the effort seemed duplicative of the company’s existing data governance initiative. It was a fair question—but also a revealing one. While the organization’s information governance capabilities were still maturing and clearly in need of strengthening, the proposed activities were entirely distinct from those handled by the data governance team.
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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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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.
