We often think about the ways artificial intelligence might displace human workers rather than help them get hired. Fortunately, AI use is transforming the hiring and staffing procedures of many modern businesses to better bring in and manage talent.
AI implementation in hiring and staffing crosses industries and oceans. The Hilton company, for example, makes use of an AI software called AllyO to navigate thousands of applications per day. As a result, the company now makes 83% more offers per recruiter per week than its competitors.
This is the power of AI in the hiring process. Where human recruiters would have to shift through and analyze stacks of resumes to find the best fit for staffing needs, AI steps in to save time and get the right people working faster. As we face a recession caused by the coronavirus pandemic, these tools are more important than ever.
AI is changing the state of hiring and staffing across industries. Here are some of the transformations it brings.
Applicant tracking systems (ATS) are getting smarter and more helpful all the time. These systems are powered by machine learning, or the ability of an AI to learn through its interpretation of data, and are capable of much more than mere keyword scanning.
Breakthroughs in natural language processing (NLP) and algorithmic filtering mean applicant tracking software can now contextualize resume information, pairing desired skills to experience without the need for direct human input. This is revolutionary for hiring managers and prospective candidates alike.
Previously, simple keyword searching tended to limit pools of applicants based on semantics alone. Now, thousands of resumes can be processed to pull the top 20% without cutting out potential fits due to simple phrasing variations.
Applicants, however, must be aware of the nuances of changing ATS capabilities to write more effective resumes. This includes being aware of what formats to use and submit, as well as how to structure your resume so that the system can easily parse your information.
The COVID-19 pandemic showed us that employment needs can shift quickly, requiring a staffing system that can handle the demand. This is especially vital in healthcare, where some care providers are overburdened while others have to let staff go. Data analytics technologies like AI are changing nursing and other fields by supplying data-driven staffing recommendations.
Machine learning systems are analyzing healthcare data to predict staffing needs up to 120 days in advance. With the ongoing reality of the COVID pandemic, predictive analytics like these stand to make all the difference in the battle for positive healthcare outcomes, allowing hospitals and clinics to adjust their available employees ahead of time.
But the potential does not end with the healthcare industry. The use of predictive analytics in staffing, inventory management, and supply chain functions are reshaping a wide variety of industries, spurring the integration of AI systems across the globe.
With our world more reliant on digital systems than ever before, we need comprehensive data privacy and security solutions. As 42% of the United States workforce now logs in full-time from home, valuable corporate systems, along with private consumer information, are at risk.
Among growing trends in cybersecurity threats is the potential for cybercriminals to enter a system through a weak link to steal valuable data. Personal information about staff and prospective candidates in the applicant pool is at risk in the event of such a theft. Hiring managers have as much responsibility for protecting candidate data as they do current staff, so data security is a must.
Luckily, AI offers a solution here, as well. With machine learning practices, an AI interprets and models instances of fraudulent activity or attempted access to catch them at their source. Scanning thousands of potential endpoints and authorization keys, machine learning software gives cybersecurity systems analytic power that no human can match. Firewalls protected by these systems keep the private data of all candidates secure, reducing worries and challenges for hiring managers and candidates alike.
All kinds of industries and business practices stand to gain with the help of artificial intelligence processes. Machine learning, as a rapidly developing subset of AI, aids in application tracking, staffing predictions, and data security necessary for any functioning business in the modern world of remote work and increased cybersecurity threats.
When it comes to AI, the narrative often falls on how this tech will harm workers by displacing them. However, the reality of AI as it stands is a helpful tool that brings workers to the right job and vice versa. Integrating AI into your hiring and staffing procedures can be a great way to get a step up on the competition.
As AI usage seeps into every aspect of modern business, candidates and hiring managers should keep up-to-date with the impacts this has on their own lives.