Saba Introduces Recruiting@Work

Talent acquisition is certainly on everyone’s minds these days. In an economy that is struggling to create more jobs, talent is equated to the white collar highly efficient and visionary individual who can save money not only by covering several roles within a company but also by figuring out ways how to make money. This is what most companies want and what software vendors see as a priority on their list of HCM applications.
But, not any type of recruitment tool is suitable to go hunting for talent. A good recruitment solution is typically expected to go beyond applicant tracking, corporate branding, and compliance components. Trendier technologies like analytics, cognitive computing, mobile, social, gamification, or multi-media support should also be leveraged. In addition, data integration between recruitment/staffing and onboarding solutions, rapid access to background checks, and talent segmentation for better targeting are seen as essential components to an optimal talent acquisition tool.
Saba has announced a new recruiting offering, Recruiting@Work (now generally available), which assists users with three core requirements: predictive recruiting, collaborative hiring, and accelerated screening and onboarding. To deliver these capabilities Saba uses some of the newest technologies available on the market, as Shawn Farshchi, president and CEO at Saba explains:

“Saba has uniquely delivered a consumer-grade user experience with advanced capabilities such as machine learning, native video interviewing, and comprehensive mobile recruiting support to help bring in top talent faster and increase the number of successful hires that can then contribute to long-term business success.”
Three key features were underlined in the press release:
  • Predictive Recruiting: Saba introduces TIM (The Intelligent Mentor) a patent-pending machine-learning technology meant to assist recruiters with reviewing and sorting candidates. Another tool contained within the predictive recruiting capability is the SmartHire Assistant decision dashboard, which is intended to make the hiring process more objective. IBM’s decision to use the Watson AI computer system for various business needs, including assisting HR professionals, likely inspired other software vendors to produce their own forms of cognitive computing. However, whether selecting candidates with the help of Watson or TIM is better than relying on the human mind has not been researched extensively. Until then, we have to take the vendor’s word for it that TIM and SmartHire Assistant can indeed be more objective than a person and further that complete objectivity is what HR recruitment should be all about.
  • Collaborative Hiring and Video Interviewing: Saba is taking advantage of its already developed video conferencing capabilities and offers them to recruiters who want to involve several team members in the recruitment process; employees can provide input on various candidates from various locations on their mobile devices or online. This is good news not only for employers but also for employees since oftentimes departments or teams—services, IT, operations, etc.—complain about the lack of transparency and collaboration occurring in recruitment and staffing.
  • Accelerated Screening and Onboarding: Saba is leveraging its existing assessment capabilities, which were boosted with the acquisition of Pedagogue Solutions and Comartis in 2011—both providers of assessment management tools. Employers can screen candidates faster by including assessments within each job posting. Further, applicant information captured during onboarding can ensure seamless transition between the hiring and onboarding processes. These abilities allow HR staff to have a comprehensive image of the employee starting with the early stages of recruitment and onboarding. It would be interesting to have the information captured throughout the application and onboarding processes used towards performance management (negotiating early goals with the employee, for example), or career development. 
comments powered by Disqus