Intelligent Capture: Your Onramp to Business Efficiency

Of all the use cases for document capture, “scan-to-archive” is the most mature. Many organizations are still evolving from a focus on scan to archive to one focusing on scan to process. After all, if you want your information or content to be governed by an information management system, it must be made known to the system. Otherwise, it will remain in disarray.

Simply getting rid of the paper and/or digitizing it is a necessary part of Digital Transformation. This is no longer sufficient to truly transform business processes and enable effective collaboration. This AIIM virtual event gathers thought leaders from a variety of industries to provide answers to these important questions:

Why – and how? – is Intelligent Capture a key enabling technology for Digital Transformation?
What is the relationship between intelligent Capture and downstream process automation?
What is the value of using intelligent Capture to collaborate productively?

Intelligent Capture is having a renaissance as more organizations prioritize automation that requires structured access to unstructured document-based information. Advances in artificial intelligence primarily drive this surge in automation-oriented projects. As a result, you can’t go anywhere without being bombarded with words like machine learning, NLP, deep learning, and AI.

What does all of this mean, especially when it comes to practical requirements, planning, and readiness for implementing Intelligent Capture? This AIIM Virtual Event session explores the main areas of AI, focusing on applications of machine learning within Intelligent Capture and the key things you need to understand before you begin your journey. This session is one session in the Intelligent Capture: Your Onramp to Business Efficiency all day AIIM Virtual Event.

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AIIM Virtual Event with Parascript

Intelligent Capture: Your Onramp to Business Efficiency

Intelligent Document Capture: Your Onramp to Business Efficiency

Demystifying Machine Learning in Document Processing

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