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#dataclassification

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If you're still manually parsing text in Excel with complex formulas, you're living in the past. (Un)Perplexed Spready uses AI to extract specific information from text cells with natural language commands. No regex needed, just results!
matasoft.hr/qtrendcontrol/inde

Tired of manually categorizing products one by one? (Un)Perplexed Spready's AI integration analyzes thousands of product descriptions and automatically sorts them into categories like "meat, dairy, bakery, or other" with just one formula. This is AI doing REAL work!
matasoft.hr/qtrendcontrol/inde

While everyone's playing with AI chatbots asking for jokes, (Un)Perplexed Spready is revolutionizing spreadsheet data. It extracts specific product measures from dirty product descriptions and converts them to metric units with a single formula. That's practical AI!
matasoft.hr/qtrendcontrol/inde

Corollary: If you're a #security team and your best advice is "don't use #AI" or "don't use an #LLM" you can go jump in the sea. It has its uses, it has to be done carefully, and the checklists and #dataclassification are not going to save you. You have to put on your hip waders and wade into it and figure out what to do. It's hard, but there might be benefits. If your only advice is "no" then they're just gonna route around you and do it anyway, and that's probably worse than having you on their team helping.

Using the Graph API to Extract Sensitivity Labels

This article is about the use of sensitivity labels in SharePoint Online. Sensitivity Labels provide a way to classify and protect documents. By using Sensitivity Labels in SharePoint Online, organizations can improve the protection of sensitive data on their intranet and meet compliance requirements. bit.ly/41UHc8E