Enterprise Knowledge

Enterprise Knowledge

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Overview

From Big Data To Big Knowledge

Knowledge in organisations is stored in different silos, forms and formats, which are distributed across both public and private data. This makes it difficult to answer basic questions, such as ‘Who has worked with this client before?’ ​The aim of the Enterprise Knowledge project is to automatically extract business knowledge into a single, consistent knowledge base, made up of the entities that really matter to each organisation. Our goal is to operate in an eyes-off environment, alowing our work to be applied in enterprise settings, where data sits behind compliance boundaries.

The Enterprise Knowledge project brings together researchers with diverse backgrounds in Machine Learning, Social Science and Design and engineering. From a computer science perspective, we focus on using unsupervised machine learning to automatically create these entities, and their associated schema, from the organisation’s data. In parallel we undertake human-centred research to explore the meaning and value of knowledge in the workplace, and to generate compelling and innovative designs for new user experiences.

Take Part

 

Microsoft Research Cambridge is recruiting participants from the United Kingdom for a series of virtual focus groups about knowledge in the workplace. Do you create documents, spreadsheets or presentations for significant parts of your work? Do you use authoring tools like Microsoft Office or G-Suite? If so, we’d love to talk to you learn more about your work. We want to understand how you use knowledge and information at work. We also want to get feedback on a series of design concepts that present new ways to use and share knowledge.

If you are interested in participating, or would like to find out more, please complete our contact form with your name and contact email address, and one of our researchers will get in touch. Microsoft respects your privacy. Please read our online Privacy Statement

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