2017
The New Landscape of Hiring

Machines are 25% more efficient than humans in hiring right talent

The “New Landscape of Hiring”, discusses the time, cost and attrition rates in machine-based hiring are lower than in manual hiring.

45% of the surveyed SMEs will be faster to adopt machine learning-based hiring as against 13% of all large businesses surveyed.

machine hiring allows companies to avoid judgment errors caused by short attention spans. Gig work—a formalised version of freelancing—is upending hiring models across the world. Choice, flexibility and work-life balance top the considerations for 65% independent workers while lower costs and operational efficiencies are top considerations for 75% employers

Endorsing the report, Rituparna Chakraborty says “With machine hiring, one could estimate attrition (early/premature as well as long-term) likelihoods and therefore choose candidate types that are associated with lower likelihoods.”

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