Deloitte calls experimentation with tech solutions and services the biggest disruptor in talent acquisition. Why is talent acquisition software considered so disruptive these days?
Industry analysts argue this disruption has mostly been driven by innovations in AI and automation.
The more innovative ideas and solutions are centered around cognitive technologies such as artificial intelligence (AI).
To provide some clarity on the new talent acquisition software landscape including the latest in AI innovations, here’s an overview to help you choose the right software for you.
Talent acquisition software functions
Talent acquisition software are tools used by recruiters, talent acquisition professionals, and hiring managers to streamline or automate their workflow including sourcing, screening, interviewing, and onboarding. Continue reading
Screening resumes is usually the most time-consuming part of recruiting so a good resume screening checklist is crucial to stay on track.
Not only is resume screening the most time-consuming, 52% of talent acquisition leaders say it’s also the hardest part of recruitment.
To help you identify the best candidates more easily and in less time, I’ve created this 4-step resume screening checklist.
Step 1: Compile a list of the job qualifications
The first step in your resume screening checklist is understanding which skills, traits, and behaviors are necessary to be successful in the role.
The best way to do this is to assess what the qualifications of successful employees look. Continue reading
Interest in recruiting AI technology has exploded recently.
From finance to sales departments, business leaders are asking how they can leverage technology to become more efficient, cost-effective, and competitive. HR is no exception.
To stay on top of this trend, here are 7 recruiting AI technology terms that every recruiter needs to know.
1. Artificial intelligence
Artificial intelligence (AI) is a machine that can mimic human abilities such as learning, problem solving, planning, perception, and the ability to move objects.
In a nutshell, AI requires large amounts of data as inputs to produce an output which solves a problem. Core areas of AI include machine learning (e.g., Netflix recommendations), machine perception (e.g., Apple’s Siri), and robotics (e.g, self-driving cars). Continue reading
When it comes to recruiting technology, AI for recruiting is everywhere. In fact, it was the dominant theme at this year’s HR Tech Conference.
AI for recruiting technology – the application of artificial intelligence to recruiting – is designed to automate some part of the recruiting workflow whether it’s screening resumes, testing candidates, and even interviewing.
The current explosion in recruiting technology represents exciting opportunities to help solve some classic recruiting headaches. But trying to make sense of it all can be overwhelming.
Here are 4 tips on picking the right recruiting technology for your recruiting needs.
Tip 1: Define the problem you’re trying to solve with recruiting technology. Continue reading