The lack of physical presence in a virtual working environment limits an interviewer's ability to assess a candidate based on body language cues. Furthermore, there is a greater risk of fraud, such as impersonation and assessment cheating.

Fremont, CA: The COVID-19-led disruption has fundamentally altered HR. The incredible rate of technology and data adoption, as well as digital transformation, across organizations of all sizes, indicates that HR is working harder than ever to be a strategic partner that is critical to the core business. Some intriguing technology trends are emerging across an organization's entire employee lifecycle to reinterpret the future of HR.

The Emerging HR Tech Trends:

Sourcing: In a single day, AI can process billions of pages of data. Because human effort cannot even come close, AI provides a clear advantage to recruiters who need to source and engage multiple candidates, particularly passive candidates. Skeptics generally believe that AI-powered sourcing platforms are not as quality-driven as humans. However, a recent survey report provides contradictory evidence. According to the report, 46 percent of all new hires sourced manually fail within 18 months. On the contrary, AI-powered platforms improve talent retention by up to 23% while also minimizing human bias and providing access to a larger pool of candidates.

Screening: The lack of physical presence in a virtual working environment limits an interviewer's ability to assess a candidate based on body language cues. Furthermore, there is a greater risk of fraud, such as impersonation and assessment cheating, occurring. To address this, the hiring industry has taken cues from more technologically advanced industries like BFSI and gaming. Organizations can compare a candidate to their NID and make sure that the same person goes through each stage of screening by incorporating facial recognition, liveness detection, machine learning, and natural language processing into their hiring journeys. These technologies, which incorporate intelligence into the hiring process, provide detailed analytics and AI-based scoring on parameters such as candidate expressions and voice emotion to enable standardized hiring at scale in any part of the country.