Uncubed’s Watson Candidate Assistant Case Study: BuzzFeed
April 16, 2018
A look at how Uncubed's solution combines content with IBM's AI technology
In a featured case study, the IBM team summarizes the impact of Uncubed’s content-driven offering, which is powered by the Watson Candidate Assistant’s cognitive technology.
BuzzFeed’s primary goal was to engage candidates in a deeper, cognitive conversation – in order to better prepare candidates for the application process, and also help candidates ensure they are applying for relevant roles. As noted in the case study, BuzzFeed receives hundreds of applications per day for certain sought-after roles.
The goal of Watson Candidate Assistant, in conjunction with Uncubed’s content and integrated software, is to get talent teams spending less time on screening and more time on higher-value activities.
Uncubed provided customized content-rich responses, including video, along with an analytics layer and content management tools.
Read the full case study here.
Interested in Uncubed’s Watson Candidate Assistant solution? Reach out here.
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