HUMAN RESOURCESÂ SECTOR
KEY OBJECTIVES
AI presents an opportunity for HR to automate repetitive, low- value tasks and to increase focus on more strategic work.
In general HR services include a large amount of time spent on standard onboarding processes for new employees, triaging common questions and employee requests, and basic benefits management.
Machine Learning is used for anomaly detection like identify items, events or observations which do not conform to an expected pattern or other items in a dataset.
It can be used for background verification like machine learning-powered predictive models can extract meaning and can raise red flags based on structured and unstructured data points from applicants’ resumes.
It also can be used to find employees who are at high risk of attrition, enabling HR to proactively engage with them and retain them.
It can be used to provide a more personalized employee experience by using predictive analytics to recommend career paths, professional development programs or optimize a career site based on prior applicant actions.
Chatbots helps HR departments by reducing the necessity to address explanatory emails and developing reminders to make follow up from HR.
With the help of chatbot technology employees obtains company policies and access the relevant information.
HR chatbots help increase productivity and performance by promoting a particular query analysis.
Chatbots learn from experience and interactions with users, the accuracy of the replies only allows up with time and consequently, the demand for human operators to move in decreases.
HR chatbots present objective, yet customized employee data about bonuses, wages, and company procedures.
By acknowledging every basic question of employees directly and correctly, HR chatbots are increasing transparency and accuracy, thereby, impressing a sense of liability.
Through HR chatbots, employees can ask instant feedback from their superiors and peers on presentations, records, and issues they have presented, on the very same day.
What’s more, they can also support unknown feedback to guarantee its authenticity.
HR chatbots can perform a vital part in making new employees informed with company procedures and culture.
No matter how pleasant your onboarding method is, seeing infinite videos and performances in a span of a few days will not result in high retention of information.
Deep learning algorithms outperform humans in object classification.
Given videos and photos of thousands of applicants, deep learning systems can identify and classify candidates based on objective data.
While understanding human voice and myriad accents is difficult for most machines, deep learning algorithms can be designed to recognize and respond to human voice inputs.
Virtual assistants use speech recognition algorithms to process human voice and respond accordingly.
Natural language processing (NLP) trains chatbots and similar systems to understand human language, tone, and context.
NLP will emerge as a crucial capability for AI systems as organizations continue to automate HR service delivery with chatbots.
Digital learning experiences often involve personalized learning recommendations related to skill levels and professional interests.
Using Big Data and Deep Learning, learning experience platforms can identify learning pathways that might interest individual employees.
Some of the key issues for HR are going to be around privacy and safety.
Commercial drone operation is a pretty new discipline, it is likely that qualified operators are in short supply.
Drones can allow certain portions of your more senior workforce to be repurposed into other highly valuable jobs.
Human resources will want to maintain records of related certifications and may want to offer training for personnel who operate drones.
HR has to be cognizant of any organizational pushback or resentment if employees interpret commercial drone usage as taking away real employees.
Onboarding is critical to ensuring new employees are given the most effective introduction to their new working environment.
AR empowers employees to simulate common customer interactions directly in the context of their work area using their smartphone - particularly with AR’s ability to leverage interactive alpha video content without the potentially awkward baggage of employee-to-employee roleplays.
AR is enhancing training for these roles by providing a high level of process visualization that can reduce risk and increase confidence in the employee.