A global economy and remote workforce have made it difficult for HR departments to track employee satisfaction and motivation. However, using artificial intelligence, data scientists and engineers can now generate powerful insights to improve hiring, training, retention, and more. We will explore the ways AI and big data can help HR.
We will Examine three key use cases in the human resources world:
predicting employee attrition
mapping collaboration
creating training recommendations.
For each of these use cases, we processe data, builds machine learning models, and predicts key outcomes using tools like Python, TensorFlow, and Keras.
Key functions of HR include:
The first one is talent acquisition. They post job advertisements, track candidates, and facilitate the recruitment process.
The next is training and development of the employees to help them perform their duties successfully and progress in their career.
HR departments also focus on the overall health and safety of the employees. HR drives the compensation and benefit programs within the company to ensure that the employees are paid fairly based on market rates and capabilities.
They also run benefit programs like health insurance and retirement benefits. They attract and manage the performance of employees, helping them in their work and in their careers.
Finally, HR teams also need to ensure legal compliance. They make sure that the organization adheres to the local and government laws and practices.
Goals of HR include:
The first goal is to hire top talent for the organization based on technical skills and organizational skills and retain them.
They focus on improving employee productivity by providing tools and training.
They want to increase employee engagement within the organization. Motivated and happy employees result in happy customers and better business.
HR also focuses on developing their top talent, helping them grow in their careers, and nurture future leaders in the organization.
Key challenges faced by HR today include:
The top challenge is attracting and retaining top talent. There is always a huge demand for top talent. In today's connected world, it is easier than ever for others to poach on the organization's talent. Lack of strong leadership is one of the key reasons why employees leave an organization. Good leadership is hard to find outside the organization, hence identifying the next set of leaders within the company and nurturing them while not losing them is a key challenge. An organization needs a unified culture to work together. HR needs to define the expected organization culture and ensure that it is implemented throughout the organization. Compensation is a key part of attracting and retaining top talent. HR needs to devise creative ways to compensate employees, such that they are motivated to stay and grow within the organization. Organizations today are spread across multiple countries globally, and HR laws and guidelines differ from country to country.
Tracking compliance globally is yet another challenge.
How can AI help HR to solve these challenges?
AI can help in talent acquisition. For example, it can automatically screen applicants and filter the list to those who have skills and experience to match the requirements.
It can help in talent development by recommending the right sort of training programs for a given employee.
AI can help understand the collaboration paths within an organization and hence can aid in organizational design.
It can provide automated virtual agents for self-service help to employees.
It can help understand employee sentiment and thus aid HR to improve employee engagement by focusing on those who need motivation.
We deep dive into the use case and build code to execute the use case. The use cases covered here are:
- predicting employee attrition
- discovering virtual teams, and
- recommending training courses
This project develope for educational purpose. No Animal & human being has been affected.
Developed By:- Prateek Dutta