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) | Cloud
The notion of Artificial Intelligence has pervaded both the info and tech worlds. Indeed, it's difficult to have a discussion or a webinar without the topics of AI and Robotic Process Automation coming up. And while it might be tempting to dismiss the implications as something from a Hollywood movie of a future world populated by smart robots with super-human characteristics, the truth is that these technologies are already at work today, fueling important changes in the way we do business.
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Electronic Records Management (ERM)
In another post this week, we took a look at the first step in the information lifecycle – information capture. We not only talked about the importance of capture, but we also talked about what you should be capturing and what you should avoid capturing. Today, I’d like to dig a little deeper into that discussion and talk about how to distinguish between a record and a non-record. This is an important distinction to make when developing your Information Capture strategy. If you are new to records management, some of the following may need a little getting used to, especially if you associate ‘anything that is in a file’ with the idea of ‘record’. In fact, many items that people keep, or file, are definitely not records. Let's start out with some examples of what is typically considered a record and what is typically NOT considered a record.
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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.
Many organizations have an obligation to maintain the information they create and receive as part of regular business activities and to ensure that the information is secured and maintained in official filing systems. But, with an endless amount of information flowing in and out of your business on a daily basis - how do you determine what to capture and what to avoid? Not all information is equal, and capturing everything could actually have a more negative impact on your business, but we'll address this later in the post. This post will help you develop an Information Capture strategy that fits your business' needs and avoids the common pitfalls.
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Migrating to a new system or moving to a new platform? Then you’ll definitely need to create a successful data migration strategy to protect your valuable data and achieve the desired results. In this article, we’ll take a look at several ways to migrate your data. They will allow you to build a successful strategy, prevent data loss, and make everything as efficient as possible.
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Metadata resides at the center of many of the essential aspects of content management. In addition to helping organize and classify content, Metadata enables good findability, can trigger workflow and transactional processes, reveals document usage patterns and history, and helps establish retention and disposition events. So far in our exploration of Metadata, we've answered some of the big questions already, including: What is Metadata? What is the business value of Metadata? How do I develop a Metadata strategy? Today, we'll be taking the next step and exploring how to build your Metadata plan. Let's get started!
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What’s the Importance of a Metadata Strategy? Many organizations use metadata in ways that provide significant business value. Every system uses metadata to store and retrieve data. But in too many organizations, every system uses similar but different metadata, with the result that different data structures and approaches make information harder to find and manage, not easier. Take a simple example of an employee name: In one system, it’s “first name last name.” In another, it’s “last name, (comma) first name.” And in still another, it’s two fields: “First name” and “Last name.”
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