AI is now playing a crucial role in the digital transformation of the HR function. We examine what's driving this trend, key challenges, and the future roadmap for AI deployment. From witnessing large-scale adoption across the enterprise to its potential for business transformation coming of maturity – AI, machine learning (ML) and deep learning are already impacting organizations in a big way. In a recent roundtable survey, recruiting technology provider, Montage, found that business transformation is the primary reason leading organizations to adopt AI in their HR function. This does not come as a surprise given how prevalent the need for digital transformation is, but it is clear that talent acquisition (TA) leaders are still working out the kinks in their AI strategy.

The growing popularity of AI for recruiting represents exciting opportunities for recruiters to enhance their capabilities but there's also a lot of confusion about how to best leverage it. To help you make sense of it all, here are the three most promising applications for AI for recruiting. Candidate sourcing is still a major recruiting challenge: a recent survey found 46% of talent acquisition leaders say their recruiting teams struggle with attracting qualified candidates. AI for candidate sourcing is technology that searches for data people leave online (e.g., resumes, professional portfolios, or social media profiles) to find passive candidates that match your job requirements. This type of AI for recruiting streamlines the sourcing process because it can simultaneously search through multiple sources of candidates for you.

Since the ATS, recruiters have leveraged technology to make their jobs easier, faster, and better. Today, the dominant theme in HR technology is AI for recruiting. AI for recruiting is an emerging category of HR technology designed to reduce -- or even remove -- low-level sourcing activities like manually screening resumes. Screening resumes efficiently and time-effectively still remains the biggest challenge in talent acquisition: 52% of talent acquisition leaders say the hardest part of recruitment is identifying the right candidates from a large applicant pool. According to a survey of talent acquisition leaders, 56% say their hiring volume will increase this year, but 66% of recruiting teams will either stay the same size or contract.

AI for recruiting is on everyone's mind these days with a lot of talk on how it's going to transform recruiting. Artificial intelligence for recruiting is the next generation of software designed to improve or automate some part of the recruiting workflow. The improving economy: The recent economic gains have created a candidate-driven market that's made competing for talent tougher than ever. This competition will only continue to increase – 56% talent acquisition leaders surveyed by LinkedIn believe their hiring volume will grow in 2017. The need for better technology: Although hiring is predicted to increase, 66% of talent acquisition leaders state their recruiting teams will stay the same size or even shrink.

AI for recruiting is on everyone's mind these days with a lot of talk on how it's going to transform recruiting. Artificial intelligence for recruiting is the next generation of software designed to improve or automate some part of the recruiting workflow. The growing popularity of AI for recruiting represents exciting opportunities for recruiters to enhance their capabilities but there's also a lot of confusion about how to best leverage it. To help you make sense of it all, here are the three most promising applications for AI for recruiting. Candidate sourcing is still a major recruiting challenge: a recent survey found 46% of talent acquisition leaders say their recruiting teams struggle with attracting qualified candidates.

AI for recruiting is on everyone's mind these days with a lot of talk on how it's going to transform recruiting. Artificial intelligence for recruiting is the next generation of software designed to improve or automate some part of the recruiting workflow. The improving economy: The recent economic gains have created a candidate-driven market that's made competing for talent tougher than ever. This competition will only continue to increase – 56% talent acquisition leaders surveyed by LinkedIn believe their hiring volume will grow in 2017. The need for better technology: Although hiring is predicted to increase, 66% of talent acquisition leaders state their recruiting teams will stay the same size or even shrink.

Since the ATS, recruiters have leveraged technology to make their jobs easier, faster, and better. Today, the dominant theme in HR technology is AI for recruiting. AI for recruiting is an emerging category of HR technology designed to reduce -- or even remove -- low-level sourcing activities like manually screening resumes. Screening resumes efficiently and time-effectively still remains the biggest challenge in talent acquisition: 52% of talent acquisition leaders say the hardest part of recruitment is identifying the right candidates from a large applicant pool. According to a survey of talent acquisition leaders, 56% say their hiring volume will increase this year, but 66% of recruiting teams will either stay the same size or contract.