Technologies like artificial intelligence (AI) are powerful tools recruiters can use to sift through large amounts of data. It can enable them to interpret resumes better as well as suggest better candidate matches. For the candidate, AI can lead to greater personalization. It can surface higher-quality matches, thus streamlining the job seeking experience and highlighting internal and external opportunities with greater relevance. Click here to learn about the fundamentals of AI in Talent Management and Acquisition. 

Beamery helps recruiters identify, source, and engage candidates with the right skills and potential for success within the organization. It also serves to help recruiters find engaged talent faster and reduce hiring times. 
To achieve that, Beamery uses AI in two key ways:

AI Matching with Explainability
Transparency with Explainability

AI Matching with Explainability

As the volume of candidates and talent increases, it becomes more challenging to track. We help Sourcers and Recruiters find and evaluate candidates based on their skills and potential. To do that, Beamery’s AI Matching helps our customers to see inbound applicants scored against what hiring managers are looking for – giving hiring teams a streamlined, consistent view of fit and saving them time by focusing on quality candidates first.

Transparency with Explainability

Beamery helps you understand why we predict that someone will be a good match for a role, using a few key explanation layers, which can be provided to candidates, that clarify the AI  recommendation.

• See each component's weight (or influence) in the decision: every Match Score is built from five factors, job role, skills, industry, seniority and company size, and you can hover over any score to see how each one contributed. This shows you the main reason our AI considered a potential fit between talent and vacancies. See the Beamery AI Talent Match FAQ for how each factor is weighted.
• Understand what skills impacted the recommendations the most, and what skills did or did not have an impact on the recommendation.

Similar Contacts does not use AI

Similar Contacts, the Find similar contacts option in Pools and on profiles, does not use AI or machine learning. It uses a rules-based process: it looks at the traits shared by the contacts already in your Pool, or on a single profile, and suggests other contacts in your CRM who share those traits. To learn how it works, see Similar Contacts in Beamery: How It Works.