Littal Shemer Haim

People Analytics, HR Data Strategy, Organizational Research – Consultant, Mentor, Speaker, Influencer

HR Leaders in The 4th Industrial Revolution

You can’t evaluate AI solutions without understanding the basics of practical machine learning and predictive analytics. But you don’t have to be a data scientist for that. It’s like driving a car – you don’t need to be a mechanical engineer to buy or drive your vehicle.
Photography by Littal Shemer Haim ©
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What new roles do HR leaders have in the 4th industrial revolution? HR departments practice People Analytics to help business leaders to improve performance and growth through insights from people data. But what’s beyond People Analytics? How should HR leaders be prepared for the fourth industrial revolution?

AI changes everything. We have new responsibilities.

We’ve discussed a lot the two trends that contributed to the emergence of People Analytics a few years ago: data democratization – managers demand people’s data to run the business, and data consumerization – employees require to use data for growth, well-being, and positive experience at work, just as they do in other aspects of their lives.

But today, AI can make everybody better in many fields. I use AI to make myself more productive, e.g., I use speech-to-text and text-to-speech to cover content more quickly. Moreover, I collect data about myself in many aspects of my life.

However, I think I’m still among the few who read privacy policies, and I consider them when I choose apps. Data can make us heroes, but it might also destroy us if misused or abused. We leave data traces everywhere: when we drive our cars, watch TV, buy products, consume web content or interact with people on social media. And, of course, we leave data traces with every breath we take at work when we move across offices, write e-mails, manage calendars, learn, conduct our work, or even when we don’t show up to work.

Who owns these traces of data? The regulation now defines it in many parts of the world, but it lags compared to technology. So it is our responsibility, not only as managers or consultants but also as people, parents, and citizens, to understand the rapid changes and make informed decisions. I mean, not only by insights derived from data but mainly informed choices about the usage of data-based apps, which are every app. 

New learning path. New employer rating.

Privacy and ethics are not new in the organizational research field. For instance, we discussed the smallest group we can analyze in surveys more than two decades ago. However, we now have so many new data sources for the workforce, from sensors, smartphones, and desktop apps. As I mentioned, people are not aware of the digital footprints they leave. Therefore, this data might be turned against their interests.

I think it’s time for people to learn how to protect themselves, and this learning path should also be a new responsibility of organizations. We discuss Ethics in People Analytics and HR tech, but we must keep in mind that this is a crucial topic in educating our employees. To do so, learning leaders must already understand this domain thoroughly. Unfortunately, this is not the case in many organizations.

Furthermore, there’s much talk in the HR sector about employee experience. I believe that soon enough, employees will start exercising their rights to data privacy. We’ll see employer ratings based on data transparency and data usage aligned with employee interests – growth and well-being, which is what we mean when we talk about using employee data for good.

New skills. HR people are not there yet.

As AI sweeps HR tech and is introduced to many HR practices in every stage of the employee lifecycle, someone in the organization will have to pick the right solutions for the proper needs. I forecast demand for two new skills in the HR role: Procurement and Ethics. However, if HR people keep procrastinating their up-skilling in analytics, the consequences might be that Procurement and Ethics roles will be filled by someone else in the organization.

You can’t evaluate AI solutions without understanding the basics of practical machine learning and predictive analytics. You don’t have to be a data scientist for that. It’s like driving a car – you don’t need to be a mechanical engineer to buy or drive your vehicle, but you need to know how to hold the wheel and obey traffic rules, so you don’t kill anybody. Therefore, I call HR professionals to start their journey into the data world. And start it today.

Littal Shemer Haim

Littal Shemer Haim

Littal Shemer Haim brings Data Science into HR activities, to guide organizations to base decision-making about people on data. Her vast experience in applied research, keen usage of statistical modeling, constant exposure to new technologies, and genuine interest in people’s lives, all led her to focus nowadays on HR Data Strategy, People Analytics, and Organizational Research.

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