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SUMMARY:Hired Up: Fixing your Al search results that miss the mark
DESCRIPTION:Register here \nAI hiring tools are supposed to save you time. But if you’re still manually screening hundreds of applications\, guessing why AI sourcing results are off\, or discovering that a “great candidate” might not be a real person\, the time savings aren’t happening yet. \nIn this episode\, SJ Niderost (Content at Gem) sits down with Sam Sorkin (Scaled Customer Success Manager at Gem) to walk through how teams are actually solving these problems within a single connected workflow. \nWhat you’ll learn: \n\nHow to tell AI exactly who you’re looking for\, and what to change when results come back wrong (the difference between a 27-person pool and a 10\,000-person pool is often one setting)\nWhy the same criteria you build for sourcing should automatically score your inbound applicants\, so you stop re-doing work at every stage\nHow to use AI search data in hiring manager conversations that’s grounded in who actually exists in the market\, not who they wish existed\nHow to catch fake candidates before you waste interview slots\n\nWho should attend: Recruiters\, sourcers\, and TA leaders dealing with high application volume\, niche sourcing roles\, or growing concern about candidate fraud\, who want to see what it looks like when sourcing\, screening\, and fraud detection work together instead of in silos.
URL:https://staffinghub.com/staffing-industry-webinar/hired-up-fixing-your-al-search-results-that-miss-the-mark/
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