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What is SharePoint Premium and what does it do? 

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SharePoint Premium or Microsoft Syntex is a set of tools to help you work with documents stored in SharePoint better, more efficiently, and with greater consistency across Microsoft 365.
In this video we look at what SharePoint Premium is, how it's licensed, and some examples of what it can do with Content Assembly, Prebuilt Document Processing, and Autofill Columns. This is AI document processing built for scale but accessible to anyone, and may be important to organizations particularly if you're struggling to get your data ready for Copilot for Microsoft 365.
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Links:
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SharePoint Premium Adoption - adoption.microsoft.com/en-us/...
Chapters:
0:00 Introduction
1:16 What is SharePoint Premium
4:00 Content Assembly in Microsoft Syntex
8:47 Prebuilt Document Processing in Microsoft Syntex
16:03 Autofill Columns
Apart from publicly accessible information, all user data or other related information shared in this video is created for demonstration purposes only. User accounts, passwords, or other data used as part of any demonstrations shown in this video have been created specifically for that purpose and are not any individual or company's private information or data.
Bright Ideas Agency is an Ohio Limited Liability Company. The content of this video is for informational and entertainment purposes only. No guarantees are given in connection with the information shared and you should seek independent technical or business advice before implementing anything you see in this video. If you want to hire us for your project, visit www.brightideasagency.com and get in touch.

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8 июл 2024

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Комментарии : 5   
@DocDirk
@DocDirk 18 дней назад
Great demo. I remember seeing a demo of syntex at a Microsoft workshop 5 years ago. But it has never found it's way to any orgnizations i've worken with. I hope to see it finding more attention, because this is really cool
@brightideasagency
@brightideasagency 18 дней назад
Thanks for watching. I think it will get a lot more attention as features like GPT based autofill are really helpful.
@DavidWhite-ci2tc
@DavidWhite-ci2tc 19 дней назад
What a wank I think you just demonstrated that Syntax is a completely useless product for a non enterprise business Why would you bother with such outdated stuff SharePoint et al has always been useless and MS is trying to now make it relevant My take is that you need to reimagine document storage and retrieval - surely with AI we can have a blob of documents and you should be able to pose a question at the blob and get the best response - isn’t that the basic promise of MS copilot?
@brightideasagency
@brightideasagency 18 дней назад
As with so many of things, I think the answer is "It depends". Like any system reliant upon data, Copilot suffers from a certain amount of "garbage-in, garbage-out", and if you have really disorganized, repeating, or contradictory data, Copilot is going to do a much worse job for you. There are also issues of recency and scale (in relation to the data extracted for the individual request) for Copilot that mean for certain tasks it just isn't currently well suited to extract the right information reliably. In my view, Copilot and Syntex can live harmoniously with one another and are complementary. If the data/files you are working with require structure and repeatability in how you work with them, then Syntex works reliably for this. If what you are doing is new, ad-hoc, or creating content then Copilot is a great tool. And increasingly we'll probably see the two sets of tools come closer together as is the case with Autofill columns. If your point is "can't we just point AI at a bunch of documents", my push back is "of course, but which documents?", and for many businesses this is the fundamental challenge of retooling with AI, and where having some kind of document automation capability comes in.
@DavidWhite-ci2tc
@DavidWhite-ci2tc 18 дней назад
@@brightideasagency thanks Nick, I understand your view but my experience with Sharepoint in geeneral is not good, probably due to my own impatience to understand its features. Its 2024 and MS should be promoting a fresh approach not surfacing old technology and spouting old saws
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