Human resource management is among the top industries in the world and effective human resource management ultimately leads to an organization’s increased productivity and efficiency. So, this is the case with artificial intelligence. This newest technology has been transforming industries across the world by automating several tasks and enhancing accuracy, speed, and making the workplace smarter.

With the help of AI and Data Science, HR is evolving from a primarily administrative department to a more strategic one contributing to business success. By using powerful AI tools and technologies HR can streamline various processes and gain deeper insights into talent management. This can help businesses build and retain a skilled and talented workforce.

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Artificial Intelligence for HR Management

First, let us understand the role of Artificial Intelligence in streamlining various HR processes and enhancing efficiency.

To begin with, we must understand and acknowledge the power of Artificial Intelligence in automating routine and repetitive tasks and freeing up HR professional’s precious time to focus on more productive work.

Here are some ways AI can be used to transform HR management:

1.  Automating screening and recruitment process

For any particular job role, HR professionals receive thousands and thousands of resumes. Finding the candidates with the right skillsets matching per job description can be a tedious and time-consuming process. But with the help of AI-powered applicant tracking systems (ATS) that can efficiently automate this task, can match candidates based on pre-defined criteria.

A recent study by Greenhouse stated that 82% of HR professionals are leveraging AI in their recruitment process and 62% said they have significantly reduced time spent on resume screening process.

Interesting fact: Data science jobs are ranked as the 5^th fastest-growing jobs in the world by the World Economic Forum employment report.

2.  Making onboarding and training experience smoother

Onboarding is an important part of employee experience that plays an important role in engagement and retention. With the help of an AI chatbot, new joiners can get personalized information and answers to some of the most frequently asked questions. It will help make the onboarding experience pleasant and memorable.

On top of that, AI can easily help to personalize training programs based on analysis of employee data and ensure they gain the necessary skills on time without making the training program unnecessarily longer and boring. Personalized onboarding experiences can lead to a 50% increase in retention of new employees as found in the research by IBM.

3.  Simplifying performance management

If we look at traditional performance management systems, then the reviews were often very subjective and time-consuming. But now, AI-powered systems can easily automate data collection and analysis of performance data and help HR professionals with valuable insights for a clear evaluation.

Moreover, AI technology can also be used to offer real-time feedback and performance improvement suggestions that can encourage a culture of continuous learning and development.

Data Science for HR Management

Just like Artificial Intelligence, Data Science is another field of technology helping in transforming HR management. It helps HR professionals to switch from intuition-based decisions to data-driven decisions. Data science is used to analyze vast amounts of employee data helping HR professionals understand their workforce better.

With the help of data science certification and data science courses, you can easily pave the path to a rewarding data science career and contribute to transforming industries like HR.

Here are some ways in which data science can prove to be beneficial in HR processes:

1.  Building a data-driven HR culture

This refers to building and encouraging a culture within the organization where HR professionals welcome the use of data science to collect and analyze data and apply this to their decision-making process. They must be trained with data science skills to learn how to use and translate data into insights.

2.  Identify skill gaps and predict talent requirements

With the help of data science, HR professionals can easily forecast the future workforce requirement, as based on historical trends and business projections. So, HR professionals can easily identify the skill gaps and plan to work on addressing such situations including targeted recruitment, upskilling programs, or maybe partnerships with education or certification institutions like USDSI®.

In its recent study, McKinsey & Company found that around 800 million jobs will be lost because of automation by 2030. So, we can imagine how important skill development is now.

3.  Boosting employee engagement and retention

Employees now want more than just work and salary, so, their organizations are investing more time and money in their employee engagement strategies as it ultimately boosts their productivity. Lately, data science has been used to help HR professionals understand employee sentiment by analyzing huge employee data gathered from surveys, performance reviews, and internal communication channels.

Data Science helps to identify potential issues that impact employee engagement so that HR professionals can work on addressing them and improve employee satisfaction rates. Do you know, that engaged employees are 21% more profitable than less engaged employees (as mentioned in the study by Gallup)?

Conclusion

AI and Data Science have been revolutionizing all industries and HR is not an exception. With the right use of technology, HR processes can be easily streamlined to boost productivity and efficiency. However, organizations must take into consideration the ethical consequences and address the challenges related to the use of AI and Data science for HR including bias in algorithms, and data privacy. As we move ahead toward a phenomenal future, AI and Data Science will have a more important role in transforming HR operations. So, let’s wait and see what the future unfolds.