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Blog Feature

digital transformation,  |  digitization  |  intelligent capture  |  parascript

Digital Darwinism – Three Transformational Tactics to Consider

Digital transformation can mean different things to different organizations. For some, it might mean simply getting rid of paper. But in these competitive times organizations need to look further.

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Blog Feature

digital transformation,  |  information capture  |  intelligent capture  |  parascript

Digital Leaders Tackle Information Chaos at its Origins

In a recent AIIM Industry Watch survey -- State of Intelligent Information Management: Getting Ahead of the Digital Transformation Curve -- I asked this question -- “Agree or Disagree: Digitizing and standardizing business inputs is one of the key bottlenecks for Digital Transformation.” The results are clear: Information chaos needs to be tackled at its origins.

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14 Steps to a Successful ECM Implementation

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.

Blog Feature

Artificial Intelligence  |  information capture  |  intelligent capture  |  machine learning  |  parascript

4 Information Capture Challenges to Prepare for the Era of AI and Move to the Next Level

  In a recent AIIM survey we investigated the question of what information capture “leadership” looks like in user organizations. What does information capture look like in leading organizations that want to position this competency not only as a source of immediate competitive advantage, but also as a long-term competency critical to the coming era of machine learning? What are the problems that organizations are experiencing with their capture implementations as they consider this evolution? Here 4 key problem areas that surfaced in our survey; we’ll also be discussing this survey and its implications in an AIIM webinar on September 19. 4 Key Information Capture Challenges in Moving to the Next Level Multiple document types -- Most organizations are struggling with capture complexity that is driven by the sheer volume of document types that must be managed. Uncertainty about data accuracy -- Data is at the heart of the Digital Revolution. And data quality is at the heart of the challenge facing organizations as they attempt to make their data fit for purpose and fit for use. Poor usability -- 62 percent of respondents in our survey rate their capture software “very difficult” or “somewhat difficult” to configure. True information capture is more complicated than simple imaging -- Capture is often assumed to be synonymous with scanning. The reality is that most organizations need to do far more than just process images. Interested in learning more? Download my new free Tip Sheet!

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