“Virtually assessing and obtaining new prospects, which may have seemed like a difficult task a few years ago, is now a reality thanks to the quickly evolving era in which we live.”

Fremont, CA: The COVID-19 pandemic has profoundly altered today's workplaces, causing a paradigm shift in corporations' personnel management approaches worldwide. As remote working becomes the new normal, employers must embrace cutting-edge tools and technologies to ensure a seamless workforce experience in these unusual times and beyond.

To efficiently address this transformation in the environment and make it more agile, talent managers and leaders are intuitively incorporating technologies such as artificial intelligence (AI), machine learning (ML), data analytics, and cloud in their talent management ecosystem.

Talent Recruitment and Onboarding 

One of the most remarkable advantages of incorporating technology into HR and talent operations is the ability of talent managers to attract the right people with the right talents to their firm. Virtually assessing and obtaining new prospects, which may have seemed like a difficult task a few years ago, is now a reality, thanks to the quickly evolving era in which we live. Insightful data created by deep analytics assists employers in quickly assessing candidates' profiles, allowing them to make rapid, better selections. Assessment is also done through online examinations and demonstration videos, allowing businesses to provide applicants with rapid feedback.

Learning and Collaboration

Technology has also created a plethora of opportunities for remote learning. As the pandemic emphasised the need for a stronger and more qualified workforce, the emphasis has shifted to improving employees' digital capabilities. Moreover, many modern organisations have begun to use AI and ML-powered systems to assess individual skill sets and undertake individualised employee education and training programmes. However, training programmes powered by these tools have proven to be more effective in allowing smart learning than traditional learning programmes.