Microsoft Syntex Pay As You Go (Preview) – Configuring & Analysis

A big change is happening to Microsoft Syntex in that pay as you go (PAYG) is coming and this usage will be billed though a Microsoft Azure Subscription. This is currently in a FREE public preview and only initially for Syntex unstructured document processing (document understanding) and prebuilt document processing. I will setup Syntex pay as you go in my M365 tenant and Azure subscription and provide my thoughts.

Continue ReadingMicrosoft Syntex Pay As You Go (Preview) – Configuring & Analysis

Microsoft Syntex – Structured Document Processing Model – Important Updates

The Microsoft Syntex AI model type Structured Document Processing model (previously known as Forms Processing) has had some significant updates which were launched as part of Microsoft Syntex. In my opinion the biggest update is Structured Document Processing models now allows models to be reused across libraries and sites.

Continue ReadingMicrosoft Syntex – Structured Document Processing Model – Important Updates

New Microsoft Syntex Freeform Document Processing Model & Syntex Model Renames

A new Microsoft Syntex AI document processing model was recently released called freeform which purpose is to automatically extract information from unstructured and freeform documents such as letters, contracts or correspondence. Initially I was a little confused with the new freeform model type and what scenario you would use it for, so I needed to test it out & learn. My key confusion was what exactly are "freeform" documents and seeing which documents would work best with the model? I will attempt to answer this question in this blog along with introducing the freeform model and other Syntex model renaming changes.

Continue ReadingNew Microsoft Syntex Freeform Document Processing Model & Syntex Model Renames

The Power of the Term Store with SharePoint Syntex

SharePoint Syntex now makes extensive use of the Term Store (Managed Metadata Services - MMS) and does so in many different ways which I will go through in this blog. When Microsoft were working on Project Cortex and before SharePoint Syntex & Viva Topics were even known, there was a big investment by the SharePoint engineering team to improve the term store. The term store when moved to SharePoint online from SharePoint on-premise was literally moved "as is" (I believe!) to the cloud by Microsoft and it came with the old slow modern UI. Adding/administering terms took ages as users had to wait for often long periods of time whilst navigating between terms, adding terms etc. It was sometimes very painful so some people would even avoid using the termstore altogether and lose the benefit to provide a unified set of terms to apply to content in Microsoft 365 that can be reused between sites/libraries. So it was great that in early 2020 Microsoft announced they had modernised the Term Store - I was instantly curious how this was going to be utilised in Project Cortex as little was still known about it.

Continue ReadingThe Power of the Term Store with SharePoint Syntex

SharePoint Syntex and Viva Topics – Working Together

Over the past few months there have been a number of SharePoint Syntex updates with the purpose to more closely integrate with Viva Topics. Before this the two products have been quite separated which has been odd especially as they were born from the same Project (Cortex). This blog will focus on using Syntex to generate Viva Topics.

Continue ReadingSharePoint Syntex and Viva Topics – Working Together

SharePoint Syntex: Testing Out New Refinement Rules for Document Understanding Extractor Models

rule to specify to remove duplicate entities, extract only a certain number of values or lines from the entity extractor value. This happens at the same time the entity extractor is invoked on the document and allows greater control of the returned values. There is a new Refine extracted info button now available in the entity extractors section of a document understanding model.

Continue ReadingSharePoint Syntex: Testing Out New Refinement Rules for Document Understanding Extractor Models