Microsoft: Project Cortex project to be launched in the summer of 2020

Last November, Microsoft launched the Project Cortex project, which uses AI to build knowledge networks that comb through data within the organization and automatically translate into shared topics based on relevance such as projects or customers. At today’s Build 2020 developer conference, Microsoft said the project will be launched in the summer of 2020.

Microsoft: Project Cortex project to be launched in the summer of 2020

At the Build 2020 conference, Microsoft said it had introduced the project to more than 75 private preview customers, including Arla Foods, Mott MacDonald and Siemens Healthiners.

Microsoft: Project Cortex project to be launched in the summer of 2020

Microsoft also released the new Microsoft Graph API and Graph extension, as well as the interactive connector between Project Cortex and Microsoft Graph. In addition, developers will be able to leverage external resources such as Azure Language Understanding and AI Builder to create richer integrations.

Project Cortex’s AI-generated knowledge network integrates conceptual interpretations, associated information, related experts, and so on about a topic or content (such as presentations, videos, and conversations) into a Wikipedia-like knowledge sheet and shares it with members of the organization, which greatly increases the efficiency of sharing knowledge and experience across the company or organization among relevant employees.

Project Cortex’s main features are:

Project Cortex uses AI to understand your organization’s data and is automatically organized into shared topics such as projects and customers.

Project Cortex uses theme cards and topic pages to provide knowledge to people in your organization.

Project Cortex will also transform your content into an interactive knowledge base through innovations in intelligent content ingestion to analyze documents and create complex content models. Machine teaching enables subject matter experts to teach systems how to understand semi-structured content, and knowledge retrieval makes it easy for people to access valuable knowledge that is often locked into documents, conversations, meetings and videos.