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2 Automating Repetitive Tasks (20%) The adoption of AI, such as chatbots and virtual assistants, is increasing in HR. These tools handle tasks like responding to employee queries and conducting interviews, freeing HR professionals to focus on more critical functions. For instance, IBM's Watson is used to efficiently process and address employee needs, reducing turnaround time and improving workforce well-being.
Also Read: HRTech Interview with HR Expert, Natalie E. Norfus, Founder of The Norfus firm
3. Predictive Analytics (15%) Predictive analytics, powered by machine learning algorithms, enables data-driven decision-making in HR. By analyzing historical data, these systems can identify trends related to turnover rates, predict top performers, and develop personalized training plans. Workday People Analytics, for example, uses ML to provide insights into workforce patterns and potential challenges such as attrition.
4. Enhancing Employee Engagement (15%) AI and ML tools improve employee engagement by utilizing sentiment analysis to gauge morale through communication and feedback. This allows HR to address issues proactively. Microsoft Workplace Analytics leverages data from daily activities to offer insights into organizational performance and employee well-being.
To know more visit: https://hrtechcube.com/automation-and-intelligent-analytics/
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