How AI & Machine Learning Are Redefining The War For Talent
- by 7wData
These and many other fascinating insights are from Gartner’s recent research note, Cool Vendors in Human Capital Management for Talent Acquisition that illustrates how AI and machine learning are fundamentally redefining the war for talent. Gartner selected five companies that are setting a rapid pace of innovation in talent management, taking on Human Capital Management’s (HCM) most complex challenges. The five vendors Gartner mentions in the research note are AllyO, Eightfold, jobpal, Knack, and Vettd. Each has concentrated on creating and launching differentiated applications that address urgent needs enterprises have across the talent acquisition landscape. Gartner’s interpretation of the expanding Talent Acquisition Landscape is shown below (please click on the graphic to expand):
Company Growth Plans Are Accelerating The War For Talent
The average employee’s tenure at a cloud-based enterprise software company is 19 months; in the Silicon Valley, this trends to 14 months due to intense competition for talent according to C-level executives leading these companies. Fast-growing enterprise cloud computing companies and many other businesses like them need specific capabilities, skill sets, and associates who know how to unlearn old concepts and learn new ones. Today across tech and many other industries, every company’s growth strategy is predicated on how well they attract, engage, screen, interview, select and manage talent over associates’ lifecycles.
Of the five companies Gartner names as Cool Vendors in the field of Human Capital Management for Talent Acquisition, Eightfold is the only one achieving personalization at scale today. Attaining personalization at scale is essential if any growing Business is going to succeed in attracting, acquiring and growing talent that can support their growth goals and strategies. Eightfold’s approach makes it possible to scale personalized responses to specific candidates in a company’s candidate community while defining the ideal candidate for each open position.
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