Co-authors: Sofus Macskassy, Lu Sun, Di Zhou, Rui Kou and Zhuliu Li Skills are at the heart of every professional's qualifications for a role or new opportunity. At LinkedIn, we see a future where the world of work is centered on a skills-first economy. Adopting a skills-first approach will be especially critical as the requirements for roles, businesses, and industries are rapidly changing amid the current generative AI (GAI) boom. That's why at LinkedIn, we want to help our members and customers embrace a skills-first mindset to create a more efficient and equitable world of work. […]

Extracting skills from content to fuel the LinkedIn Skills Graph

Authors: Dr. Patrick Driscoll and Akash Kaura LinkedIn’s vision is to create economic opportunity for every member of the global workforce. Since its inception in 2015, the Economic Graph Research and Insights (EGRI) team has worked to make this vision a reality by generating labor market insights such as: Real-time economic and workforce intelligence & insights. This takes the form of the monthly LinkedIn Workforce Report, newsletters on LinkedIn.com, working papers, and flagship reports about timely issues such as the green transition to address climate change. Sharing economic […]

From the Economic Graph to Economic Insights: Building the Infrastructure for Delivering Labor Market Insights from LinkedIn Data

Imagine a tool that can store and connect all the information you need to make decisions and solve problems. Most people would say it’s nice to think about, but not yet possible. The good news is this tool already exists - and it’s called a graph database. At LinkedIn, technologies like graph databases are essential to powering today's platform, while being flexible enough to scale for our future needs. In earlier blog posts, we defined what a graph database is and also shared how to index graph data for fast, constant-time access. One of the biggest (and most important) questions […]

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