How AI Can Improve Recruiting And Business Productivity

Emerging technologies like AI can help to tackle hiring challenges, especially when job roles are merging into each other and becoming more cross-departmental

- Sandesh Goel

Hiring is a tricky business especially these days when job roles are merging into each other and becoming more cross-departmental. Businesses are also adapting to new technologies, and finding the right fit for positions and retaining the right people in the organization has been challenging.

Here are some of the most common challenges that people face while managing their talent pool or in creating a new one.

1. Attracting the Right Talent:

Most organizations never meet the right talent that they expect to recruit. In its place, they only choose the best person they can find at the time. With limited time, and urgency to fill the position, most recruiters either go by “who they know,” or their own biased judgment in selecting the candidate. Many times, the organizations do not have the right understanding of the skill and talent that they actually need for a particular job.

2. Time Consuming:

Talent acquisition through traditional methods is highly time-consuming and it does not ensure the right candidate is found. Going through the data in each resume is highly inefficient, and unscientific; critical information can be missed or wrongly interpreted by executives while analyzing the talent. The right candidate either never reaches the employer, or the data is never analyzed to its full potential.

3. Scope of internal-mobility undiscovered:

Often, employees decide to quit for better opportunities. Rarely do they see how their skills and experience can fit internally, in the same organization The employer loses someone who already knows the business Getting someone to refill the vacancy costs the organization anew. This process of looking outside for untrained talent to fit the role consumes many hours and resources of the organization.