Possible Applications of AI for Human Resources

Today, many professionals and businesses around the world understand that the adoption of smart technologies such as artificial intelligence (AI) will revitalise their workplaces. AI has numerous applications in practically every industry and profession, and human resources careers are no exception.

According to a recent survey conducted by Oracle and Future Workplace, HR professionals believe that AI in HR can provide opportunities to learn new skills and gain more free time, allowing HR professionals to strategically expand their current roles. Agency. However, 81% of HR leaders surveyed said they find it difficult to keep up with the rapid pace of technological change in the workplace.


In this article, we will look at what artificial intelligence is and how to apply it to the world of human resources.


  • Automate repetitive tasks


Many business activities typically involve repetitive tasks, and human resource management and project resource management departments are no exception. Numerous repetitive operations can be automated with AI in HR apps, saving businesses time and money.


Artificial intelligence is superior to other machines because it can make intelligent decisions that it cannot make itself. For example, it can be used to automate employee benefits management. Or, you can use it to address common questions from your team. Another great example of automation using AI is the new employee onboarding process. HR professionals don't have to worry about providing equipment, allocating space, and other related tasks when a workable solution is already in place.


  • Better employee experience


Employee experience is essential to engagement. Organisations with disengaged employees are exposed to costly risks. For example, it costs approximately USD 4,000 (US) to hire new talent and an additional USD 1,000 for onboarding. High employee engagement translates into 21% higher profitability for organisations. That's an important difference. For these reasons and many others, companies are pursuing various methods, such as the use of machine learning, to improve the employee experience.


  • Chatbot adoption


More and more companies are adopting AI-based chatbots for a variety of tasks. Chatbots, AI in human resources, can be used to answer online queries, giving HR professionals more time to focus on other important tasks. Chatbots equipped with this technology can help you connect with potential job seekers and improve internal operations.


Chatbots can conduct short interviews with potential candidates and suggest ways to improve team performance. As artificial intelligence becomes more sophisticated, we expect that in the near future chatbots will be able to perform multiple tasks, saving humans time and creating more efficient systems.


  • Data aggregation


HR professionals in today's world find it difficult to screen resumes and conduct interviews. They also require candidates to check what their social media profiles look like and search the Internet to see if any red flags are raised.


AI-based data aggregation of human resources makes it easy and fast to automatically scan the endless repositories of social media platforms and other internet sites. Many companies, including eBay and IBM, are already using this technology to scrape numerous sources, collect data on potential job applicants, and analyse each person's experience and market value.


  • Employee Recommendation


AI can also help human resources departments better understand employee recommendations. By analysing the types of employees you refer and gaining insight into those who have successfully adapted to new roles, recruiting your best referrals becomes easier and faster. AI tools can also analyse data from previous referrals and identify candidates similar to successful employees.


  • Learning and Development


The future of learning and development will certainly be fueled by these technological advancements in the coming years. With technologies using artificial intelligence and machine learning, employee training and development will become more agile to meet the individual needs of employees. Learning can be made more personalised by considering individual workers' current skills and future goals and proactively addressing skills gaps. Content matches and recommendations are based on relevance to individual employee needs.


Read Also : How is AI Used in Human Resources


Conclusion:


Therefore, applying productive AI in HR can revolutionise the HR landscape and provide HR professionals with insights to make informed decisions, optimise talent management processes, and create a more engaged and productive workforce. By harnessing the power of productive AI, organisations can unlock the full potential of their human capital, drive innovation, and gain a competitive advantage in an ever-evolving business environment.

Comments

Post a Comment

Popular posts from this blog

How is artificial intelligence being used in transportation

AI in transportation has grown to such an extent that its impact has been barely noticed. The technology is making industries more user-centric and automated. Here, we look at the applications of AI in transportation and how it is changing the industry. Autonomous Vehicles One of the most interesting uses of AI in transportation is autonomous cars. Self-driving cars from Waymo and Uber, and semi-autonomous cars from Tesla are already on the road. Using a combination of cameras, sensors, location information, and AI, cars can provide advanced driver assistance features that require little or no human intervention, even if they don’t drive themselves completely. Statista suggests that we could see up to 800,000 vehicles on the road globally between 2023 and 2030. KPMG also suggests that this technology could reduce accident rates by around 90%. However, AI's true potential in transportation goes beyond consumer applications. It extends to the commercial and public transportation sec...
Read more

How much does it cost to develop an online shopping app

Developing an online shopping app is one of the ways to get into the fast-growing e-commerce industry. However, determining the cost requires careful analysis of the various factors that affect your overall budget. Let's take a look at these to get a comprehensive understanding of what it takes to build such an app. Factors affecting development costs Complexity of features The Online shopping app development cost is greatly influenced by its functionality. A basic app with essential functions like product search, user registration, and payment will be less expensive than a complex app with more features. Features like multi-currency payment methods, augmented reality for virtual experiences, and tailored recommendations can significantly raise the price. Platform selection This also determines your budget. If you develop an app on iOS or Android, for sure it will not be expensive compared to developing for both iOS and Android. Cross-platform tools developed by Flutter or React N...
Read more

What Advantages Do AI Applications Offer the Retail Industry

Advantages of artificial intelligence in the market. The introduction of artificial intelligence (AI) in the retail industry has brought many benefits that will change the way businesses operate and interact with customers. From improving customer interactions to improving operations, AI serves unique purposes. Key benefits of AI in the market include: Personalization: Artificial intelligence allows marketers to analyse vast amounts of customer data to understand preferences, purchase history, and attitudes. This data is used to provide tailored advice, product offers and tailored marketing campaigns. This level of personalization increases customer loyalty and the likelihood of conversion.Don't take it back.Improve communication with customers. Chatbots and AI-powered virtual assistants are available 24/7 to answer customer questions, provide product information, and assist with purchases. This ensures a seamless customer service experience that improves customer engagement and lo...
Read more