Original article was published by Marcello Marrocos on Artificial Intelligence on Medium
Project Cortex is the Microsoft initiative to apply AI — Artificial Intelligence — to help transform content into knowledge.
It connects the content and people of an organization with the power of apps and Microsoft 365.
Formerly known as Office 365, Microsoft 365 is the productivity suite offering by Microsoft.
Microsoft 365 is the world’s productivity cloud.
— Satya Nadella, Microsoft CEO
It includes, among other tools, Outlook, Teams, OneDrive, Planner, Lists, and of course, Word, Excel, and PowerPoint.
Those are the tools that help us to generate a great amount of content every day.
Behind the scenes, to bring all this content together, we have Microsoft Graph, a powerful gateway for connecting all this data.
Microsoft Graph has a layer of AI that maps the interrelationship between meetings, people, and content, identifying the best way to have the work done.
— Chris McNulty, Director of Product Marketing, Microsoft 365
Microsoft Graph is an API where you can programmatically access and use data from Microsoft 365 apps and uses the power of AI to analyze the content and experience of the users, building knowledge to provide useful insights.
If you are a user of Outlook from Microsoft 365, you might already notice the auto-complete feature or the “reading suggestions” when you receive a meeting invite.
I also received a message saying something like, “It seems you have lots of meetings this week. Do you want to block time for focused work?”.
This is the AI learning and using the information to try to help me with useful insights. I was quite impressed with the accuracy of that.
In addition to the data collected from Microsoft 365, Microsoft Graph also offers content connectors. These connectors allow us to collect data from outside Microsoft 365, such as on-prem, file shares, and third-party applications. SQL Database, Azure Data Lake, Service Now, and Azure DevOps are among the +130 connectors.
By importing this content aligned to AI classification, it is possible to apply retention and sensitivity labels, which contributes to control the lifecycle of the information and how this information can be available to users through search, controlling the access to the information.
In this way, you manage the taxonomy and content types, tying it to the sensitivity and retention of the information, making it easy to process, search, discover, and govern information.
More on Microsoft Graph can be found at its official page: