Webinar: Automate M365 governance with new Microsoft machine learning and AI
Webinar Wednesday February 24th, 2021 at 9am PT / 12pm ET / 18:00 CET Microsoft has introduced new AI and machine learning that can automate how important data and content is identified and classified. This will improve search and discovery, but also ensure compliance with business standards and regulations, e.g. GDPR. Attend this webinar to […]
Document Autoclassification Strategies
Once again, be careful with the fact that the exact same piece of content can be classified in different ways depending on function, not content. An invoice is an invoice, unless it is training material for an invoicing system, unless it is evidence of fraud or litigation about payments, unless it is sample data, unless […]
Document Autoclassification using Content: Similarity and Topic Comparisons
Similarity and Topics Similarity classifies by determining how close one document is to another. This is one area where AI is being leveraged. There are a number of variants to this capability but generally, if you know that one thing is a true representation of what you are looking for (an “exemplar”), other things that […]
Document Autoclassification using Content: Keywords, Number and Word Patterns
Keywords A word (or set of words) can be associated with a type, metadata or security. Usually, a keyword to find a type of content (like using the word “contract” to find a contract) is problematic for a number of reasons and is not very useful. You will find contracts, but you will also find […]
Document Autoclassification using Context: File Extensions, Metadata and Properties
File extensions This is the easiest entry point into classifying content because it can be done with a good >DIR command and a spreadsheet. It is done without needing to access and open the content – which makes it fast. It can also be done very efficiently from the cloud. The file extension mostly tells […]
Document Autoclassification: Source and Purpose
Before we start looking at classification techniques, a few concepts need to be defined. Source data The information we rely on to classify content automatically comes from three sources within a single document. Format – Format often includes the coding that allows a specific application to work with it. It can also include any structure […]
Document Autoclassification Technologies
A MasterClass – ification for unstructured content Post 1 This is an exciting time to be in the world of AI, machine learning, and autoclassification for unstructured information. This is a broad topic, so I want to focus on very specific elements that you can search on to auto-apply classifications and where they work well. […]
Microsoft Records Management Auto-Classification Options
Classification Options Many organizations try to rely on users to manually identify, capture, and classify records that should be retained, but this depends on users always doing the right thing to ensure compliance. A better approach is compliance-by-design. Records management happens automatically based on how users are storing or working with documents. Many large and […]
Planning M365 Information Governance
If you have lots of legacy systems, e.g. file servers / network shared drives, SharePoint on-premise, and Enterprise Content Management systems, then you need to establish your new governance structure for M365 before starting the migration from legacy systems to M365 since this will impact required metadata mapping, access controls, retention design, etc. You can […]
M365 for collaboration and records management for 37,000 users
Microsoft just published a case study about how the global energy company Equinor has standardized on Microsoft 365 (M365) for both collaboration and records management. Press link to access the case study, and it was an honor to work with them on this project. Some quotes from the case study: “Equinor tested many of the […]
