LinkedIn Surpasses 135 Million Users In India, Adds 10 New Languages.

LinkedIn, a leading professional networking platform announced on Thursday that its member base has grown beyond 135 million with engagement rates increasing by 20% year-over-year which makes India its second-largest and fastest-growing market. LinkedIn has also introduced 10 new language options including four Indian regional languages: Bengali, Marathi, Telugu, and Punjabi, bringing the total number of supported languages to 36 to cater to this expanding user base. Now, ⁠the platform supports five Indian languages, including Hindi. The newly added languages also include Vietnamese, Persian, Greek, Hebrew, Finnish and Hungarian. The company said that this would enable professionals worldwide to connect, communicate, and collaborate more effectively.

Tomer Cohen, Chief Product Officer, said “We’re thrilled to make LinkedIn more inclusive and accessible. These new languages will help bridge barriers, allowing deeper professional connections and meaningful network engagement.” Recently, LinkedIn appointed Kumaresh Pattabiraman as the Country Manager and Product Head in India.

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Kumaresh Pattabiraman emphasised that LinkedIn has evolved from a job platform to a dynamic global community for jobs, learning, networking, and knowledge sharing. India boasts the top five countries with the fastest-growing AI talent and the highest AI skill penetration globally, he added. He also highlighted that the platform launched a new video experience in India capitalizing on the 60% year-over-year growth in video uploads. The platform also claimed that LinkedIn members in India use AI skills three times more frequently than the global average.

On the other hand, It’s been discussed that LinkedIn owned by Microsoft is using ‘user data’ to enhance its generative AI products without updating its terms of service. The LinkedIn platform also confirmed using user data for AI improvement and this move has raised concerns about data privacy and user consent.

LinkedIn’s use of user data for AI training includes various types of information, such as user-generated content, language preferences, feedback on AI features, and interaction with AI tools. For instance, if you use AI to help you write something, it’ll look at what you type and the suggestions it gives you. Additionally, LinkedIn keeps track of how users use these AI features.

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