Introduction
Use Microsoft Syntex to extract valuable business data
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Caveats: Changes are inevitable
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1. Microsoft Syntex Fundamentals
What is Microsoft Syntex?
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Making existing information useful
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Types of document services in Syntex
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Planning and creating Syntex sites and SharePoint libraries
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Adding sample training files
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2. Creating Autofill Columns in SharePoint
Creating a metadata column
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Creating an AI-generated summary column
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Enabling taxonomy tagging
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3. Prebuilt Document Processing in Syntex
Exploring the different prebuilt models
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Planning for your processing models
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Creating a prebuilt invoice model
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4. Structured Document Processing
Benefits of creating a custom structured document model
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Creating a new structured document model and labeling fields
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Using tables in structured processing models
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Create collections and add training documents
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Tag information fields in the document collections
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Training, testing, and publishing your model
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5. Unstructured (Single Class) Document Processing
Creating an unstructured model and labeling example files
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Create and test your classifier explanation
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Create your first extractor and label files
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Create extractor explanations
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Using patterns in extractor explanations
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Using proximity in extractor explanations
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Using regular expressions
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Applying the model to a library
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6. AI-Assisted Content Assembly in SharePoint
Create a modern template in SharePoint
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Map template fields to library columns
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Generate documents using the modern template
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Create conditional sections in templates
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7. Emerging and Specialized Syntex Features
Creating AI agents in Syntex
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Using image tagging in Syntex
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Using Syntex for document translation
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Using Syntex for optical character recognition (OCR)
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Capturing eSignatures with Syntex
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Conclusion
Syntex in action: Recap and resources
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Ex_Files_Microsoft_Syntex_AI_SharePoint.zip
(15.0 MB)