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Four Challenges in Taking Capture to the Next Level

What information capture competencies do you need to fuel your Artificial Intelligence initiatives?

Automated information capture is critical to machine learning.

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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? This Tip Sheet focuses on the 4 key problem areas that surfaced in our survey.

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