The enterprise eco-system is evolving rapidly, bringing in a wave of change in the Human Resource landscape. The platforms that were designed just a few years ago, catered to the basic requirements of companies and their HR department.
Over the years, there has been an evolution of the workforce; HR Leaders are increasingly expected to participate in business growth and the function of HR has shifted from being paper-intensive to driving innovation at the workplace.
Innovation is a very real need in Human Resources. HR innovation refers to the implementation of new tech, ideas, and methods to meet the ever-evolving demands of a business. It is very important to understand innovation in HR so that they can help the current and future needs of an organisation.
Following are the ways HR can bring innovation to an organisation:
- Machine Learning
Machine Learning helps make faster hiring decisions as the requirements for the right candidate are clearly defined, reducing the resource time and efforts, hence reducing the overall costs for the organization. Predictive models can be designed by Machine Learning algorithms classifying potential employees as per their probability of attrition, derived by past behavioural patterns within their previous workplaces.
Given the right human insight, machine learning can eliminate interviewer bias as it analyzes the big data as per user-defined parameters and the results are drawn objectively.
- Use of Business Analytics
HR should use big data analytics tools to deliver real-time human resource analytics for business transformation. Power BI provides businesses with a 360 degree and a real-time view of the most important HR metrics. It turns organizational data into intelligent, impactful visualizations that help make better, informed decisions.
- Chatbot for support
Chatbot facility for customer support 24X7. It uses the capabilities of artificial intelligence and machine learning to simulate a conversation with human users. Chatbots use Language understanding intelligence service (LUIS) and Natural language Processing (NLP) to mimic human conversations and respond to written prompts by the user and deliver the desired response, real-time.