Intelligent Recruiting Platform

Garbage In, Garbage Out: Why Data Quality Matters in Artificial Intelligence

6/23/2020

There’s a lot of data out there these days. Thanks to the Internet of Things, it seems like everything is collecting data – your smartphone, your laptop, maybe even everyday appliances in your home, such as your toaster. But what use is all of this data? In recent years, companies have turned to data analytics powered by Artificial Intelligence (AI) to take advantage of big data. These AI applications seek to make sense of it all through computationally intensive data analytics, driving novel insights which can be used to improve anything from our day-to-day lives to company executives’ decisions.

But what does this data all really mean, and how can we make sure the insights we are gleaning from it are truly real and accurate enough to drive decision-making?

At this chaotic new intersection of AI and Big Data, one fact is emerging, and it’s that data quality is important. In fact, AI is only as good as the data collected. Whether you have a small repository or troves of data, ensuring that this data is of the best quality should always be paramount.

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AI for Recruiting – Separating Fact from Fiction

6/22/2020

The term AI has become somewhat of a buzzword in the business world. Just Google the terms “artificial intelligence” or “machine learning” and you’ll get hundreds of pages of results, many of which make lofty claims about how this technology is the magical solution to just about any problem an organization may have.

Unfortunately, this simply isn’t the case – at least not for the time being. That’s not to say AI is useless. To the contrary, AI does, indeed, work well in some instances and industries.

Take, for example, use cases like AI in terms of security products. With cybercrime at an all-time high, and online criminals becoming more sophisticated by the day, there is a plethora of data that can be used to train intelligent automation to counteract hacking attempts and help organizations keep their sensitive information secure.

Likewise, consumer-facing businesses gather a ton of transactional information on a daily basis. This information can in turn be used to enhance the customer experience. For instance, prior behavior can be tracked and used to automatically match a particular customer with promos that are personalized to his or her preferences.

So, what about recruiting? It would seem logical and straightforward that a predictive tool could be used to better match candidates with open positions. Unfortunately, the science simply isn’t quite there yet.

The key differentiator here is data.

Don't Get HR Generalists and Recruiters Mixed Up

12/2/2019

A female and a male recruiters interviewing a candidate

Image: Pixabay

Companies often think that having a Human Resources department is synonymous with having a Talent Acquisition team and fail to understand that they have two different functions. While recruiters do usually fall under the HR department, they should not be confused with HR generalists.

Why Data Enrichment Matters

11/22/2019

Image: Pixabay

Traditional recruiting methods used to rely on reading resumes one-by-one and interviewing a lot of underqualified candidates. Nowadays, talent acquisition teams can leverage technology that is meant to make their jobs easier, faster, and more efficient. This recruitment technology has evolved into more than just job boards, but are these digital tools really more effective and efficient? And with hundreds of talent acquisition solutions, how do employers know which ones are worth investing in?
Hint: It’s all about the data.

How to identify your next star employee?

11/22/2019

Laptop, plants, eye glasses, and white lampshade placed on an office desk near the window

Image: Pixabay

Hiring a new employee is always a gamble. After you’ve invested time and resources to source, screen, and train a new hire, you want to be sure there’s a high Return on Investment (ROI). By identifying these core competencies, you’ll be able to figure out who will be your best and brightest employee before you even hire them.

Innovative Ways to Find Talent

11/22/2019

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Image: Pixabay

Talent acquisition teams can’t rely on traditional recruiting methods when talent is in short supply.
It’s time to get creative! Recruiting strategies must evolve as technology becomes more prevalent in all aspects of our lives.

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Phone Interview: Do's and Don’ts

11/21/2019

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Man holding and looking at his mobile phone

Image: Pixabay

Phone interviews have become the norm. It’s a great way to learn more about the candidate before bringing them in for a face-to-face interview; they save everyone involved time and effort. With the candidate’s resume and LinkedIn profile pulled up in front of them, recruiters and hiring managers can weed out unqualified and uninterested candidates without leaving their desk. But, if you want to be effective in conducting phone interviews, there are a few things to note.

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How to identify your next star employee?

11/21/2019

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Image: Pixabay

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Top 10 Takeaways from Spring SourceCon 2018

11/21/2019

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On February 26, 2018, headhuntr.io sponsored Spring SourceCon 2018 in Las Vegas.
It was three days of being surrounded by fellow sourcing pros and recruiters. All of the presenters did a great job and our team left with more tools and techniques to find the best candidates.

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What is causing your high turnover rate?

11/21/2019

Woman feeling stressed in front of her laptop

Image: Pixabay

It’s well known that a high employee turnover rate comes with increase in cost per position. But what is a turnover rate? Your annual employee turnover rate can be calculated using the following equation:

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