"Just when you thought that LinkedIn couldn't possibly add AI to any other part of the app, it's rolling out yet another AI element, this time within its search tools, with conversational queries to help you find relevant members, pages and posts in the app. Though people is the focus, and I'm not sure what results you'll get on the other elements."
"Describe what you need in your own words, and we'll surface the people who can help across your network. Type it like you'd say it, for example: ex-coworkers who became founders in healthcare in NY,' angels with FDA experience for an early biotech,' Spanish-speaking school counselors in Austin focused on learning differences.' From who should I talk to?' to here's who can help,' it's how you can unlock opportunity on LinkedIn."
"Who the heck is searching for ex-coworkers who became founders in healthcare in NY,' or has enough coworkers who've become founders in healthcare that they can't recall the specific one that they're looking for? Silicon Valley perspective skew aside, it could be a much easier way to find relevant matches on LinkedIn, by using plain language queries to find people, which could also help to give you very specific matches, without having to use LinkedIn's filters."
LinkedIn is introducing conversational queries in its search tools to let users describe needs in natural language and surface matching people, pages, and posts. The feature targets people search and aims to replace manual filters by returning highly specific matches based on complex criteria. Example prompts include locating ex-coworkers turned founders, angels with FDA experience, or Spanish-speaking school counselors focused on learning differences. The capability could simplify finding relevant contacts but raises privacy and safety concerns about revealing sensitive or embarrassing information. The depth of results for non-person search types remains unclear.
Read at www.socialmediatoday.com
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