Have you been wondering how the rise of AI began to trend and spread across the globe?
The rise of artificial intelligence
Consider the Industrial Revolution, which lasted somewhere from 60-80 years. Some are calling the current period “The Fourth Industrial Revolution.” Largely expected to be driven by artificial intelligence (AI) and data analysis, this Fourth Industrial Revolution will be compressed into the lifespan of a beagle.
This means absolutely massive changes for how we work and design processes within our work. AI, specifically, is already beginning to have a large impact in recruiting and hiring.
It is helpful now to look at where AI has been, where it’s at now, and where it might be going. Continue reading
Is there a best practice when using AI to hire for insurance roles?
What is the current situation?
In general, hiring in the insurance industry across North America has stabilized in recent years, with 58 percent of employers saying they plan to expand jobs into 2019. As with other white-collar industries, though, there’s still a perception of a “skills gap,” i.e. key roles are hard to fill. This can often be solved by increasing wages, but not every insurance company has the ability to do this.
As Monster.com has noted, however, insurance is often the “Rodney Dangerfield” industry, i.e. “can’t get no respect.” One of the issues is candidates not fully understanding the scope of roles. Continue reading
Bullhorn recently published their 2018 North American Staffing & Recruiting Trends Report, a survey of more than 1400 staffing professionals.
Compared to 2017, the majority of staffing professionals – 67% – are less confident about the future. This is likely due to the tension between the potential opportunities presented to staffing agencies vs. the challenges they face in 2018.
I’ve highlighted some important findings on recruiters’ priorities for 2018 from Bullhorn’s report below.
Increases in hiring and operating budgets
Whether internal or external, recruiters are experiencing the same challenges from the tighter labor market.
While 70% anticipate an increase in hiring needs, 64% of staffing pros say their top challenge is the talent shortage. Continue reading
In 2018, employers are looking to hire more than ever before, while many employees are looking for a change.
According to a recent study by CareerBuilder, an astounding 40 percent of employees reported that they plan to change jobs in 2018. With so many candidates applying to jobs, companies are going to have to step up their game to attract the most qualified applicants and organize them once they’ve applied.
That’s where finding the best Applicant Tracking System comes into play.
What is an Applicant Tracking System?
An Applicant Tracking System, also known as an ATS or talent management system, is an easy-to-use computer-based hiring tool that can help recruiters save time and stay organized as they search for the best candidates. Continue reading
According to LinkedIn’s Recruiting Trends 2018, 67% of recruiters say AI helps them save time, 43% believe it removes human bias, and 31% say it delivers the best candidate matches.
So if you’re in talent acquisition, investing in AI seems like a smart move. But how do you decide which AI tool is right for you?
I break it down in our new 11-point buyer’s checklist on AI for recruiting software.
Section 1: Questions for your team
Your decision making process for buying AI for recruiting software starts with the questions you ask your team (and yourself).
A good starting point is asking yourself: what’s our biggest pain point? Continue reading
Have you ever heard the term “shelf-ware?”
That’s when your company buys software but no one inside the company really uses it once it’s bought, so it sits on the shelf. Get it?
Shelf-ware is extremely costly to a company. Basically, buying something for a bunch of money, never adopting it, and likely renewing it at the end of the contract.
No one wants to throw money away. So how do you make sure that the software you invest in actually gets used and doesn’t become shelf-ware?
Here are three important factors to consider when you buy recruitment technology.
#1: Integrations with your current recruiting stack
Make sure whatever you are considering purchasing integrates with your existing workflows. Continue reading
With the rise of chatbots, conversational recruiting has become the hottest strategy in talent acquisition.
A recent demonstration of Google’s Assistant scheduling a haircut blew people’s minds and hints at the intriguing future of what conversational recruiting could look like.
Conversational recruiting is defined as attracting, qualifying, and engaging candidates with real-time, continuous one-on-one messaging. These conversations are flexible and take place where candidates already are: on mobile, social media, and messaging apps.
Already common in sales and marketing, conversational commerce is the adoption of real-time messaging with people, brands, products, and services.
The technological advancement that enabled conversational commerce to happen was the merging artificial intelligence with everyday consumer interactions. Continue reading
Google made a big splash in the recruiting industry with the release of Google for Jobs back in November 2016. Only available in the U.S. at the time, Google for Jobs just became available in Canada and India.
Using machine learning, Google For Jobs matches job seekers’ intentions with relevant job postings by understanding job titles, descriptions, skills and preferences.
It promised to find better job recommendations for candidates by finding relevant job postings that job seekers would miss otherwise because they contain specific jargon, save them time, and improve its searches over time by collecting more data.
One of their early customers was CareerBuilder. Continue reading
The rise of AI in various industries is an interesting and far-reaching discussion.
A very small percentage of people are at the forefront of working with the technologies involved, most are aware of the potential ramifications, and some are choosing to ignore it.
AI was actually initially developed at a 1956 conference at Dartmouth University. As of yet, it’s not quite at scale.
This is what we do know, however: it’s likely AI will take away jobs. The number most reported by reputable sources seems to be somewhere between 35-47% of jobs could be automated away in the next 25 years. Continue reading
About 5 years ago, I had the opportunity to talk to some executives at one of the biggest technical recruiting firms in North America. They pointed me towards one of their recruiters, who was generating more money for the firm than anyone, as well as bigger placements.
The funny thing was, though, she never worked on open requisitions, which was the strategy of 99% of the recruiters employed by the firm. Instead, she simply had built an amazing proactive pipeline, while it definitely took time – now she was just reaping the rewards of said proactive pipeline.
What is proactive recruiting? Continue reading