Webinar: AI for Intelligent Migrations
Use Azure Auto-Classification approaches for finding information of value and accelerated migration to cloud. The key benefits of this approach: Intelligent analysis and migration of large amounts of content Smarter migrations leveraging Azure AI to quickly identify non-compliant or high risk information for remediation Machine models to identify information of value and Records Establish Azure […]
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. […]
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 […]
Determining the right Taxonomy
Taxonomies are used to organize information to improve discoverability and control. This could be website navigation, folder structures, or metadata groups. The right taxonomy depends on many factors, and I often used Dave Snowden´s Cynefin framework to discuss this with clients. Known, knowable, complex, or chaotic information? Known: You then know your information and you […]
Access Microsoft Graph API using msal-browser
In the previous part of this blog post series, we looked at how the authorization code grant flow with PKCE works and why your single page applications should consider moving to this authentication flow instead of the implicit grant flow. For a quick recap, look at the image below to understand the token flow with […]
