Candidate matching as a foundation for AI

Jeremy Artificial Intelligence, Market Trends

The key to planning for the business developments ahead is understanding the needs and demands emerging now. For hiring professionals, making the best candidate matches at the fast pace of today's world takes forethought and advanced technological solutions. In the years to come, artificial intelligence is likely to become a crucial part of how hiring managers, recruiters and staffing agencies find exceptional workers to fill open positions.

Candidate matching will form the foundation as AI is incorporated into staffing software, helping staffers to pick out well-qualified jobseekers and present those individuals to stakeholders. Jobscience is at the forefront of developing solutions that leverage this power to make recruitment processes more efficient and successful. Hiring professionals will have an edge if they prepare for the approaching changes by adopting a robust applicant tracking system and exploring the ways AI can transform their work. 

Better decision making through AI

Advances in AI are already revolutionizing a variety of businesses and improving the ways leaders ready their organizations for challenges and opportunities. With complex algorithms that model real-world scenarios and machine learning capabilities, these systems allow companies to make more informed calls. As MIT Technology Review noted, the impact of these advances has been felt in the fields of health care, financial services and automotive manufacturing.

"Advances in AI are revolutionizing a variety of businesses."

All indications suggest AI systems will become more common in the near future. A survey of 235 executives conducted by Narrative Science found that 38 percent of the respondents' businesses had implemented AI applications and 26 percent expected they would by 2018. Among the companies already using the technology, 58 percent relied on predictive analytics, in which AI anticipates developments through data mining, statistics and machine learning.

AI empowers the decision-making process by analyzing huge data sets with speed and accuracy. Based on the results of these analytical processes and human responses, a system can refine its approach over time and anticipate problems. That places enhanced knowledge and greater visibility at the disposal of users so they can make better long-term plans and react more effectively to changes or crises.

Planning for the future

The kinds of shifts that have affected other industries due to AI will have a major influence on recruitment as well. It remains to be seen exactly how the tremendous analytical power of these systems will change staffing and hiring in the long run. However, it's clear that stakeholders are interested in finding ways to harness this technology to build better strategies and workflows.

In a survey, 40 percent of Jobscience customers said they considered AI the top priority for creating value through future development, beating out other major considerations like task management, completing forms, faster and more accurate data capture and applying marketing tools. Further, 76 percent of the respondents from corporate employers and 70 percent from staffing agencies believed AI would play a role in improving recruitment. With most respondents at both types of companies concerned about maintaining a steady supply of skilled labor, it's all the more important to implement recruitment software that provides an edge in the employment market.

JobscienceArtificial intelligence harnesses huge amounts of data to inform decisions.

Making smarter matches

The first steps in bringing AI to bear for hiring professionals lie in improved candidate matches. Jobscience has already created more accurate and efficient workflows to find the best qualified jobseekers in a database. In the Sourcing Center available for Winter 2017 release, that means allowing users to filter applicants through a matching system or enter complex Boolean searches to find the individuals with the qualifications closest to their ideal candidate.

Improved matching makes it possible to weigh particular skills, education and experience, taking into account the multiple dimensions that lead to success in a role. With an understanding of the fact that quality employees can come from varied backgrounds, the system prioritizes the factors that matter to the user. This level of transparency into the search process and opportunity for precise customization point the way for AI-enabled recruitment.

AI will take that matching power to the next level, with wide-ranging possibilities for hiring managers and staffing professionals to move proactively in a competitive market. Incorporating natural language processing capability into the candidate-matching system could make it far simpler and more intuitive for users to find the candidates they need. Machine intelligence would be able to evaluate candidates for their level of engagement, so recruiters could take steps to get potential employees involved in the process.  A matching system could automatically score applications as they come in or even be tasked with driving applicants toward the jobs for which they are best suited, based on the ideal criteria the user has entered.

The potential of AI has captured the imagination of stakeholders in numerous areas of business. Staffing professionals too will be able to take advantage of this technology to make better placements. Candidate matching offers fertile ground for improved processes through advanced data analysis, natural language processing.