The Art & Science Of Tech In HR

Kyle Wong our consultant managing the role
Author: Kyle Wong
Posting date: 8/15/2019 1:04 PM
Human Resources. Talent Acquisition. People Officer. No matter what title a person has whose responsibility is finding the right person, for the right job, at the right time, the heart of the matter is they’re dealing with people. You know, humans. So, as the word “tech” becomes a suffix to every industry, think FinTech, MarTech, AdTech, and so on disrupting the old ways to make way for new, more efficient ways, what does that mean for the human resource industry?

While there remains some concern about the industry in the age of the fourth industrial revolution, for the most part, many companies see technology in HR as good overall. But first, let’s get some misunderstandings out of the way.

What Tech in HR Is Not


Automation, Robotics, and AI are not taking over jobs, they’re helping to make a Hiring Manager’s job easier. By automating certain processes, it can give hiring professionals the time they lack to get back to the human side of things. You know, human-to-human communication.

In fact, it’s not really disrupting jobs at all, rather it’s disrupting tasks. It’s either substituting or augmenting, just as humans do but wish they didn’t have to, so they could spend more time on the people side of things.

Though we’ve mentioned a few things, Data Science in HR is not, there still remains some debate. Check out this article on whether or not Data Science will save the industry or forever change it leaving years of best practices in the dust?

What Tech in HR Means for Growth


Today’s tech world is a robust ecosystem of art and science. In Human Resources, the merging of a person looking for a job with a company looking for someone qualified to fill it takes a delicate touch of personality and technical prowess. HR has always been a science, of sorts. Now, it’s got the tools to help your company grow and keep up with your competitors.

These tools include software applications which can offer improved reporting metrics, people analytics, Machine Learning, and NLP to help you improve such areas customer service. Would you rather have a person at the computer 24/7 or a chatbot to answer basic questions until a human can get online and take the conversation further? This is just one way in which technology is helping to improve the industry, not hurt it. Besides, when your customers are happy, so is your company’s bottom line.

There is not a one-size-fits all approach and as technology learns to navigate the complex systems of people, businesses, and their behaviors, but there is much to learn. However, with the near limitless storage, computer processing ability and availability, and data models for predicting outcomes, the sky really is the limit. The mark of HR will be its ability on using data to steer the organization’s future with an upskilled and reskilled workforce.

How to Not Get Left Behind


There’s comes a time in every organization’s life in which it knows what it needs to grow, but isn’t yet ready to part with the old ways. The only problem, especially in today’s world, is that world doesn’t wait, and if you’re not ready and willing to pivot, you could get left behind.

KPMG International’s Future of HR global study, which surveyed 1,200 global HR executives, reports conflicting attitudes and approaches to the challenge between action and inertia. According to the report, only 41% of respondents recognized the need for transformation but were in a “wait and see” position, while 72% of CEOs reported they’d rather be the disruptor than the disrupted. So, where is the disconnect?

We know now, that even with a degree, pedigree, and a solid set of technical skills as a foundation, transformation is happening at a breakneck speed. So how can companies ensure their employees can keep up? One of the hottest topics across industries is reskilling and upskilling.

Following in the footsteps of Google, IBM, and Microsoft, businesses today are more focused on ensuring individuals can demonstrate their skills, not just list them on a document. Think skills assessments and simulations, practice projects, virtual and mock experiences. It’s the “try before you buy” model. This is a near 360-degree shift from historical practices. 

Every industry had its growing pains as it marched forward toward progress, but with the demand for highly skilled data professionals who can also resonate at personal level across the business landscape (read: soft skills), then the potential, if executed well, could be a boon for the industry

Disruptions are meant to shake up the way we do business and answers the needs of our buyers. Easier, faster, more efficient, smoother, and the list goes on. Technology can free up time by taking on those repetitive and redundant tasks, giving you more time to be with your customer, whoever and wherever they are.

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