Co-authors: Varun Saxena, Harikumar Velayutham, and Balamurugan Gangadharan LinkedIn is the largest global professional network and generates massive amounts of high-quality data. Our data infrastructure scales to store exabytes of data; data analysts, data scientists, and AI engineers then use this data to power several LinkedIn products and the platform as a...
data science Articles
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- Topics:
- data science,
- Data
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Co-authors: Parvez Ahammad, Kinjal Basu, Yazhou Cao, Shaunak Chatterjee, David Durfee, Sakshi Jain, Nihar Mehta, Varun Mithal, and Jilei Yang Delivering the best member and customer experiences with a focus on trust is core to everything that we do at LinkedIn. As we continue to build on our Responsible AI program that we recently outlined three months ago, a...
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Co-authors: Qiannan Yin, Yan Wang, Divya Venugopalan, Cyrus Diciccio, Heloise Logan, Preetam Nandy, Kinjal Basu, and Albert Cui LinkedIn’s mission is to be a place that is focused on creating economic opportunity and driving more equitable outcomes for every member of the global workforce. A key part of that mission is enabling people to connect with each other...
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Co-authors: Parvez Ahammad, Kinjal Basu, Shaunak Chatterjee, Sakshi Jain, Ryan Rogers, and Guillaume Saint-Jacques At LinkedIn, our...
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Co-authors: Reza Hosseini, Albert Chen, Kaixu Yang, Sayan Patra, Rachit Arora, and Parvez Ahammad In this blog post, we introduce the...
- Topics:
- data science,
- machine learning,
- Data,
- Open Source
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Co-authors: YinYin Yu, Guillaume Saint Jacques, and Paul Matsiras Introduction In 2019, LinkedIn announced an initiative to close the...
- Topics:
- data science,
- Data,
- economic graph